User login
Bringing you the latest news, research and reviews, exclusive interviews, podcasts, quizzes, and more.
gambling
compulsive behaviors
ammunition
assault rifle
black jack
Boko Haram
bondage
child abuse
cocaine
Daech
drug paraphernalia
explosion
gun
human trafficking
ISIL
ISIS
Islamic caliphate
Islamic state
mixed martial arts
MMA
molestation
national rifle association
NRA
nsfw
pedophile
pedophilia
poker
porn
pornography
psychedelic drug
recreational drug
sex slave rings
slot machine
terrorism
terrorist
Texas hold 'em
UFC
substance abuse
abuseed
abuseer
abusees
abuseing
abusely
abuses
aeolus
aeolused
aeoluser
aeoluses
aeolusing
aeolusly
aeoluss
ahole
aholeed
aholeer
aholees
aholeing
aholely
aholes
alcohol
alcoholed
alcoholer
alcoholes
alcoholing
alcoholly
alcohols
allman
allmaned
allmaner
allmanes
allmaning
allmanly
allmans
alted
altes
alting
altly
alts
analed
analer
anales
analing
anally
analprobe
analprobeed
analprobeer
analprobees
analprobeing
analprobely
analprobes
anals
anilingus
anilingused
anilinguser
anilinguses
anilingusing
anilingusly
anilinguss
anus
anused
anuser
anuses
anusing
anusly
anuss
areola
areolaed
areolaer
areolaes
areolaing
areolaly
areolas
areole
areoleed
areoleer
areolees
areoleing
areolely
areoles
arian
arianed
arianer
arianes
arianing
arianly
arians
aryan
aryaned
aryaner
aryanes
aryaning
aryanly
aryans
asiaed
asiaer
asiaes
asiaing
asialy
asias
ass
ass hole
ass lick
ass licked
ass licker
ass lickes
ass licking
ass lickly
ass licks
assbang
assbanged
assbangeded
assbangeder
assbangedes
assbangeding
assbangedly
assbangeds
assbanger
assbanges
assbanging
assbangly
assbangs
assbangsed
assbangser
assbangses
assbangsing
assbangsly
assbangss
assed
asser
asses
assesed
asseser
asseses
assesing
assesly
assess
assfuck
assfucked
assfucker
assfuckered
assfuckerer
assfuckeres
assfuckering
assfuckerly
assfuckers
assfuckes
assfucking
assfuckly
assfucks
asshat
asshated
asshater
asshates
asshating
asshatly
asshats
assholeed
assholeer
assholees
assholeing
assholely
assholes
assholesed
assholeser
assholeses
assholesing
assholesly
assholess
assing
assly
assmaster
assmastered
assmasterer
assmasteres
assmastering
assmasterly
assmasters
assmunch
assmunched
assmuncher
assmunches
assmunching
assmunchly
assmunchs
asss
asswipe
asswipeed
asswipeer
asswipees
asswipeing
asswipely
asswipes
asswipesed
asswipeser
asswipeses
asswipesing
asswipesly
asswipess
azz
azzed
azzer
azzes
azzing
azzly
azzs
babeed
babeer
babees
babeing
babely
babes
babesed
babeser
babeses
babesing
babesly
babess
ballsac
ballsaced
ballsacer
ballsaces
ballsacing
ballsack
ballsacked
ballsacker
ballsackes
ballsacking
ballsackly
ballsacks
ballsacly
ballsacs
ballsed
ballser
ballses
ballsing
ballsly
ballss
barf
barfed
barfer
barfes
barfing
barfly
barfs
bastard
bastarded
bastarder
bastardes
bastarding
bastardly
bastards
bastardsed
bastardser
bastardses
bastardsing
bastardsly
bastardss
bawdy
bawdyed
bawdyer
bawdyes
bawdying
bawdyly
bawdys
beaner
beanered
beanerer
beaneres
beanering
beanerly
beaners
beardedclam
beardedclamed
beardedclamer
beardedclames
beardedclaming
beardedclamly
beardedclams
beastiality
beastialityed
beastialityer
beastialityes
beastialitying
beastialityly
beastialitys
beatch
beatched
beatcher
beatches
beatching
beatchly
beatchs
beater
beatered
beaterer
beateres
beatering
beaterly
beaters
beered
beerer
beeres
beering
beerly
beeyotch
beeyotched
beeyotcher
beeyotches
beeyotching
beeyotchly
beeyotchs
beotch
beotched
beotcher
beotches
beotching
beotchly
beotchs
biatch
biatched
biatcher
biatches
biatching
biatchly
biatchs
big tits
big titsed
big titser
big titses
big titsing
big titsly
big titss
bigtits
bigtitsed
bigtitser
bigtitses
bigtitsing
bigtitsly
bigtitss
bimbo
bimboed
bimboer
bimboes
bimboing
bimboly
bimbos
bisexualed
bisexualer
bisexuales
bisexualing
bisexually
bisexuals
bitch
bitched
bitcheded
bitcheder
bitchedes
bitcheding
bitchedly
bitcheds
bitcher
bitches
bitchesed
bitcheser
bitcheses
bitchesing
bitchesly
bitchess
bitching
bitchly
bitchs
bitchy
bitchyed
bitchyer
bitchyes
bitchying
bitchyly
bitchys
bleached
bleacher
bleaches
bleaching
bleachly
bleachs
blow job
blow jobed
blow jober
blow jobes
blow jobing
blow jobly
blow jobs
blowed
blower
blowes
blowing
blowjob
blowjobed
blowjober
blowjobes
blowjobing
blowjobly
blowjobs
blowjobsed
blowjobser
blowjobses
blowjobsing
blowjobsly
blowjobss
blowly
blows
boink
boinked
boinker
boinkes
boinking
boinkly
boinks
bollock
bollocked
bollocker
bollockes
bollocking
bollockly
bollocks
bollocksed
bollockser
bollockses
bollocksing
bollocksly
bollockss
bollok
bolloked
bolloker
bollokes
bolloking
bollokly
bolloks
boner
bonered
bonerer
boneres
bonering
bonerly
boners
bonersed
bonerser
bonerses
bonersing
bonersly
bonerss
bong
bonged
bonger
bonges
bonging
bongly
bongs
boob
boobed
boober
boobes
boobies
boobiesed
boobieser
boobieses
boobiesing
boobiesly
boobiess
boobing
boobly
boobs
boobsed
boobser
boobses
boobsing
boobsly
boobss
booby
boobyed
boobyer
boobyes
boobying
boobyly
boobys
booger
boogered
boogerer
boogeres
boogering
boogerly
boogers
bookie
bookieed
bookieer
bookiees
bookieing
bookiely
bookies
bootee
booteeed
booteeer
booteees
booteeing
booteely
bootees
bootie
bootieed
bootieer
bootiees
bootieing
bootiely
booties
booty
bootyed
bootyer
bootyes
bootying
bootyly
bootys
boozeed
boozeer
boozees
boozeing
boozely
boozer
boozered
boozerer
boozeres
boozering
boozerly
boozers
boozes
boozy
boozyed
boozyer
boozyes
boozying
boozyly
boozys
bosomed
bosomer
bosomes
bosoming
bosomly
bosoms
bosomy
bosomyed
bosomyer
bosomyes
bosomying
bosomyly
bosomys
bugger
buggered
buggerer
buggeres
buggering
buggerly
buggers
bukkake
bukkakeed
bukkakeer
bukkakees
bukkakeing
bukkakely
bukkakes
bull shit
bull shited
bull shiter
bull shites
bull shiting
bull shitly
bull shits
bullshit
bullshited
bullshiter
bullshites
bullshiting
bullshitly
bullshits
bullshitsed
bullshitser
bullshitses
bullshitsing
bullshitsly
bullshitss
bullshitted
bullshitteded
bullshitteder
bullshittedes
bullshitteding
bullshittedly
bullshitteds
bullturds
bullturdsed
bullturdser
bullturdses
bullturdsing
bullturdsly
bullturdss
bung
bunged
bunger
bunges
bunging
bungly
bungs
busty
bustyed
bustyer
bustyes
bustying
bustyly
bustys
butt
butt fuck
butt fucked
butt fucker
butt fuckes
butt fucking
butt fuckly
butt fucks
butted
buttes
buttfuck
buttfucked
buttfucker
buttfuckered
buttfuckerer
buttfuckeres
buttfuckering
buttfuckerly
buttfuckers
buttfuckes
buttfucking
buttfuckly
buttfucks
butting
buttly
buttplug
buttpluged
buttpluger
buttpluges
buttpluging
buttplugly
buttplugs
butts
caca
cacaed
cacaer
cacaes
cacaing
cacaly
cacas
cahone
cahoneed
cahoneer
cahonees
cahoneing
cahonely
cahones
cameltoe
cameltoeed
cameltoeer
cameltoees
cameltoeing
cameltoely
cameltoes
carpetmuncher
carpetmunchered
carpetmuncherer
carpetmuncheres
carpetmunchering
carpetmuncherly
carpetmunchers
cawk
cawked
cawker
cawkes
cawking
cawkly
cawks
chinc
chinced
chincer
chinces
chincing
chincly
chincs
chincsed
chincser
chincses
chincsing
chincsly
chincss
chink
chinked
chinker
chinkes
chinking
chinkly
chinks
chode
chodeed
chodeer
chodees
chodeing
chodely
chodes
chodesed
chodeser
chodeses
chodesing
chodesly
chodess
clit
clited
cliter
clites
cliting
clitly
clitoris
clitorised
clitoriser
clitorises
clitorising
clitorisly
clitoriss
clitorus
clitorused
clitoruser
clitoruses
clitorusing
clitorusly
clitoruss
clits
clitsed
clitser
clitses
clitsing
clitsly
clitss
clitty
clittyed
clittyer
clittyes
clittying
clittyly
clittys
cocain
cocaine
cocained
cocaineed
cocaineer
cocainees
cocaineing
cocainely
cocainer
cocaines
cocaining
cocainly
cocains
cock
cock sucker
cock suckered
cock suckerer
cock suckeres
cock suckering
cock suckerly
cock suckers
cockblock
cockblocked
cockblocker
cockblockes
cockblocking
cockblockly
cockblocks
cocked
cocker
cockes
cockholster
cockholstered
cockholsterer
cockholsteres
cockholstering
cockholsterly
cockholsters
cocking
cockknocker
cockknockered
cockknockerer
cockknockeres
cockknockering
cockknockerly
cockknockers
cockly
cocks
cocksed
cockser
cockses
cocksing
cocksly
cocksmoker
cocksmokered
cocksmokerer
cocksmokeres
cocksmokering
cocksmokerly
cocksmokers
cockss
cocksucker
cocksuckered
cocksuckerer
cocksuckeres
cocksuckering
cocksuckerly
cocksuckers
coital
coitaled
coitaler
coitales
coitaling
coitally
coitals
commie
commieed
commieer
commiees
commieing
commiely
commies
condomed
condomer
condomes
condoming
condomly
condoms
coon
cooned
cooner
coones
cooning
coonly
coons
coonsed
coonser
coonses
coonsing
coonsly
coonss
corksucker
corksuckered
corksuckerer
corksuckeres
corksuckering
corksuckerly
corksuckers
cracked
crackwhore
crackwhoreed
crackwhoreer
crackwhorees
crackwhoreing
crackwhorely
crackwhores
crap
craped
craper
crapes
craping
craply
crappy
crappyed
crappyer
crappyes
crappying
crappyly
crappys
cum
cumed
cumer
cumes
cuming
cumly
cummin
cummined
cumminer
cummines
cumming
cumminged
cumminger
cumminges
cumminging
cummingly
cummings
cummining
cumminly
cummins
cums
cumshot
cumshoted
cumshoter
cumshotes
cumshoting
cumshotly
cumshots
cumshotsed
cumshotser
cumshotses
cumshotsing
cumshotsly
cumshotss
cumslut
cumsluted
cumsluter
cumslutes
cumsluting
cumslutly
cumsluts
cumstain
cumstained
cumstainer
cumstaines
cumstaining
cumstainly
cumstains
cunilingus
cunilingused
cunilinguser
cunilinguses
cunilingusing
cunilingusly
cunilinguss
cunnilingus
cunnilingused
cunnilinguser
cunnilinguses
cunnilingusing
cunnilingusly
cunnilinguss
cunny
cunnyed
cunnyer
cunnyes
cunnying
cunnyly
cunnys
cunt
cunted
cunter
cuntes
cuntface
cuntfaceed
cuntfaceer
cuntfacees
cuntfaceing
cuntfacely
cuntfaces
cunthunter
cunthuntered
cunthunterer
cunthunteres
cunthuntering
cunthunterly
cunthunters
cunting
cuntlick
cuntlicked
cuntlicker
cuntlickered
cuntlickerer
cuntlickeres
cuntlickering
cuntlickerly
cuntlickers
cuntlickes
cuntlicking
cuntlickly
cuntlicks
cuntly
cunts
cuntsed
cuntser
cuntses
cuntsing
cuntsly
cuntss
dago
dagoed
dagoer
dagoes
dagoing
dagoly
dagos
dagosed
dagoser
dagoses
dagosing
dagosly
dagoss
dammit
dammited
dammiter
dammites
dammiting
dammitly
dammits
damn
damned
damneded
damneder
damnedes
damneding
damnedly
damneds
damner
damnes
damning
damnit
damnited
damniter
damnites
damniting
damnitly
damnits
damnly
damns
dick
dickbag
dickbaged
dickbager
dickbages
dickbaging
dickbagly
dickbags
dickdipper
dickdippered
dickdipperer
dickdipperes
dickdippering
dickdipperly
dickdippers
dicked
dicker
dickes
dickface
dickfaceed
dickfaceer
dickfacees
dickfaceing
dickfacely
dickfaces
dickflipper
dickflippered
dickflipperer
dickflipperes
dickflippering
dickflipperly
dickflippers
dickhead
dickheaded
dickheader
dickheades
dickheading
dickheadly
dickheads
dickheadsed
dickheadser
dickheadses
dickheadsing
dickheadsly
dickheadss
dicking
dickish
dickished
dickisher
dickishes
dickishing
dickishly
dickishs
dickly
dickripper
dickrippered
dickripperer
dickripperes
dickrippering
dickripperly
dickrippers
dicks
dicksipper
dicksippered
dicksipperer
dicksipperes
dicksippering
dicksipperly
dicksippers
dickweed
dickweeded
dickweeder
dickweedes
dickweeding
dickweedly
dickweeds
dickwhipper
dickwhippered
dickwhipperer
dickwhipperes
dickwhippering
dickwhipperly
dickwhippers
dickzipper
dickzippered
dickzipperer
dickzipperes
dickzippering
dickzipperly
dickzippers
diddle
diddleed
diddleer
diddlees
diddleing
diddlely
diddles
dike
dikeed
dikeer
dikees
dikeing
dikely
dikes
dildo
dildoed
dildoer
dildoes
dildoing
dildoly
dildos
dildosed
dildoser
dildoses
dildosing
dildosly
dildoss
diligaf
diligafed
diligafer
diligafes
diligafing
diligafly
diligafs
dillweed
dillweeded
dillweeder
dillweedes
dillweeding
dillweedly
dillweeds
dimwit
dimwited
dimwiter
dimwites
dimwiting
dimwitly
dimwits
dingle
dingleed
dingleer
dinglees
dingleing
dinglely
dingles
dipship
dipshiped
dipshiper
dipshipes
dipshiping
dipshiply
dipships
dizzyed
dizzyer
dizzyes
dizzying
dizzyly
dizzys
doggiestyleed
doggiestyleer
doggiestylees
doggiestyleing
doggiestylely
doggiestyles
doggystyleed
doggystyleer
doggystylees
doggystyleing
doggystylely
doggystyles
dong
donged
donger
donges
donging
dongly
dongs
doofus
doofused
doofuser
doofuses
doofusing
doofusly
doofuss
doosh
dooshed
doosher
dooshes
dooshing
dooshly
dooshs
dopeyed
dopeyer
dopeyes
dopeying
dopeyly
dopeys
douchebag
douchebaged
douchebager
douchebages
douchebaging
douchebagly
douchebags
douchebagsed
douchebagser
douchebagses
douchebagsing
douchebagsly
douchebagss
doucheed
doucheer
douchees
doucheing
douchely
douches
douchey
doucheyed
doucheyer
doucheyes
doucheying
doucheyly
doucheys
drunk
drunked
drunker
drunkes
drunking
drunkly
drunks
dumass
dumassed
dumasser
dumasses
dumassing
dumassly
dumasss
dumbass
dumbassed
dumbasser
dumbasses
dumbassesed
dumbasseser
dumbasseses
dumbassesing
dumbassesly
dumbassess
dumbassing
dumbassly
dumbasss
dummy
dummyed
dummyer
dummyes
dummying
dummyly
dummys
dyke
dykeed
dykeer
dykees
dykeing
dykely
dykes
dykesed
dykeser
dykeses
dykesing
dykesly
dykess
erotic
eroticed
eroticer
erotices
eroticing
eroticly
erotics
extacy
extacyed
extacyer
extacyes
extacying
extacyly
extacys
extasy
extasyed
extasyer
extasyes
extasying
extasyly
extasys
fack
facked
facker
fackes
facking
fackly
facks
fag
faged
fager
fages
fagg
fagged
faggeded
faggeder
faggedes
faggeding
faggedly
faggeds
fagger
fagges
fagging
faggit
faggited
faggiter
faggites
faggiting
faggitly
faggits
faggly
faggot
faggoted
faggoter
faggotes
faggoting
faggotly
faggots
faggs
faging
fagly
fagot
fagoted
fagoter
fagotes
fagoting
fagotly
fagots
fags
fagsed
fagser
fagses
fagsing
fagsly
fagss
faig
faiged
faiger
faiges
faiging
faigly
faigs
faigt
faigted
faigter
faigtes
faigting
faigtly
faigts
fannybandit
fannybandited
fannybanditer
fannybandites
fannybanditing
fannybanditly
fannybandits
farted
farter
fartes
farting
fartknocker
fartknockered
fartknockerer
fartknockeres
fartknockering
fartknockerly
fartknockers
fartly
farts
felch
felched
felcher
felchered
felcherer
felcheres
felchering
felcherly
felchers
felches
felching
felchinged
felchinger
felchinges
felchinging
felchingly
felchings
felchly
felchs
fellate
fellateed
fellateer
fellatees
fellateing
fellately
fellates
fellatio
fellatioed
fellatioer
fellatioes
fellatioing
fellatioly
fellatios
feltch
feltched
feltcher
feltchered
feltcherer
feltcheres
feltchering
feltcherly
feltchers
feltches
feltching
feltchly
feltchs
feom
feomed
feomer
feomes
feoming
feomly
feoms
fisted
fisteded
fisteder
fistedes
fisteding
fistedly
fisteds
fisting
fistinged
fistinger
fistinges
fistinging
fistingly
fistings
fisty
fistyed
fistyer
fistyes
fistying
fistyly
fistys
floozy
floozyed
floozyer
floozyes
floozying
floozyly
floozys
foad
foaded
foader
foades
foading
foadly
foads
fondleed
fondleer
fondlees
fondleing
fondlely
fondles
foobar
foobared
foobarer
foobares
foobaring
foobarly
foobars
freex
freexed
freexer
freexes
freexing
freexly
freexs
frigg
frigga
friggaed
friggaer
friggaes
friggaing
friggaly
friggas
frigged
frigger
frigges
frigging
friggly
friggs
fubar
fubared
fubarer
fubares
fubaring
fubarly
fubars
fuck
fuckass
fuckassed
fuckasser
fuckasses
fuckassing
fuckassly
fuckasss
fucked
fuckeded
fuckeder
fuckedes
fuckeding
fuckedly
fuckeds
fucker
fuckered
fuckerer
fuckeres
fuckering
fuckerly
fuckers
fuckes
fuckface
fuckfaceed
fuckfaceer
fuckfacees
fuckfaceing
fuckfacely
fuckfaces
fuckin
fuckined
fuckiner
fuckines
fucking
fuckinged
fuckinger
fuckinges
fuckinging
fuckingly
fuckings
fuckining
fuckinly
fuckins
fuckly
fucknugget
fucknuggeted
fucknuggeter
fucknuggetes
fucknuggeting
fucknuggetly
fucknuggets
fucknut
fucknuted
fucknuter
fucknutes
fucknuting
fucknutly
fucknuts
fuckoff
fuckoffed
fuckoffer
fuckoffes
fuckoffing
fuckoffly
fuckoffs
fucks
fucksed
fuckser
fuckses
fucksing
fucksly
fuckss
fucktard
fucktarded
fucktarder
fucktardes
fucktarding
fucktardly
fucktards
fuckup
fuckuped
fuckuper
fuckupes
fuckuping
fuckuply
fuckups
fuckwad
fuckwaded
fuckwader
fuckwades
fuckwading
fuckwadly
fuckwads
fuckwit
fuckwited
fuckwiter
fuckwites
fuckwiting
fuckwitly
fuckwits
fudgepacker
fudgepackered
fudgepackerer
fudgepackeres
fudgepackering
fudgepackerly
fudgepackers
fuk
fuked
fuker
fukes
fuking
fukly
fuks
fvck
fvcked
fvcker
fvckes
fvcking
fvckly
fvcks
fxck
fxcked
fxcker
fxckes
fxcking
fxckly
fxcks
gae
gaeed
gaeer
gaees
gaeing
gaely
gaes
gai
gaied
gaier
gaies
gaiing
gaily
gais
ganja
ganjaed
ganjaer
ganjaes
ganjaing
ganjaly
ganjas
gayed
gayer
gayes
gaying
gayly
gays
gaysed
gayser
gayses
gaysing
gaysly
gayss
gey
geyed
geyer
geyes
geying
geyly
geys
gfc
gfced
gfcer
gfces
gfcing
gfcly
gfcs
gfy
gfyed
gfyer
gfyes
gfying
gfyly
gfys
ghay
ghayed
ghayer
ghayes
ghaying
ghayly
ghays
ghey
gheyed
gheyer
gheyes
gheying
gheyly
gheys
gigolo
gigoloed
gigoloer
gigoloes
gigoloing
gigololy
gigolos
goatse
goatseed
goatseer
goatsees
goatseing
goatsely
goatses
godamn
godamned
godamner
godamnes
godamning
godamnit
godamnited
godamniter
godamnites
godamniting
godamnitly
godamnits
godamnly
godamns
goddam
goddamed
goddamer
goddames
goddaming
goddamly
goddammit
goddammited
goddammiter
goddammites
goddammiting
goddammitly
goddammits
goddamn
goddamned
goddamner
goddamnes
goddamning
goddamnly
goddamns
goddams
goldenshower
goldenshowered
goldenshowerer
goldenshoweres
goldenshowering
goldenshowerly
goldenshowers
gonad
gonaded
gonader
gonades
gonading
gonadly
gonads
gonadsed
gonadser
gonadses
gonadsing
gonadsly
gonadss
gook
gooked
gooker
gookes
gooking
gookly
gooks
gooksed
gookser
gookses
gooksing
gooksly
gookss
gringo
gringoed
gringoer
gringoes
gringoing
gringoly
gringos
gspot
gspoted
gspoter
gspotes
gspoting
gspotly
gspots
gtfo
gtfoed
gtfoer
gtfoes
gtfoing
gtfoly
gtfos
guido
guidoed
guidoer
guidoes
guidoing
guidoly
guidos
handjob
handjobed
handjober
handjobes
handjobing
handjobly
handjobs
hard on
hard oned
hard oner
hard ones
hard oning
hard only
hard ons
hardknight
hardknighted
hardknighter
hardknightes
hardknighting
hardknightly
hardknights
hebe
hebeed
hebeer
hebees
hebeing
hebely
hebes
heeb
heebed
heeber
heebes
heebing
heebly
heebs
hell
helled
heller
helles
helling
hellly
hells
hemp
hemped
hemper
hempes
hemping
hemply
hemps
heroined
heroiner
heroines
heroining
heroinly
heroins
herp
herped
herper
herpes
herpesed
herpeser
herpeses
herpesing
herpesly
herpess
herping
herply
herps
herpy
herpyed
herpyer
herpyes
herpying
herpyly
herpys
hitler
hitlered
hitlerer
hitleres
hitlering
hitlerly
hitlers
hived
hiver
hives
hiving
hivly
hivs
hobag
hobaged
hobager
hobages
hobaging
hobagly
hobags
homey
homeyed
homeyer
homeyes
homeying
homeyly
homeys
homo
homoed
homoer
homoes
homoey
homoeyed
homoeyer
homoeyes
homoeying
homoeyly
homoeys
homoing
homoly
homos
honky
honkyed
honkyer
honkyes
honkying
honkyly
honkys
hooch
hooched
hoocher
hooches
hooching
hoochly
hoochs
hookah
hookahed
hookaher
hookahes
hookahing
hookahly
hookahs
hooker
hookered
hookerer
hookeres
hookering
hookerly
hookers
hoor
hoored
hoorer
hoores
hooring
hoorly
hoors
hootch
hootched
hootcher
hootches
hootching
hootchly
hootchs
hooter
hootered
hooterer
hooteres
hootering
hooterly
hooters
hootersed
hooterser
hooterses
hootersing
hootersly
hooterss
horny
hornyed
hornyer
hornyes
hornying
hornyly
hornys
houstoned
houstoner
houstones
houstoning
houstonly
houstons
hump
humped
humpeded
humpeder
humpedes
humpeding
humpedly
humpeds
humper
humpes
humping
humpinged
humpinger
humpinges
humpinging
humpingly
humpings
humply
humps
husbanded
husbander
husbandes
husbanding
husbandly
husbands
hussy
hussyed
hussyer
hussyes
hussying
hussyly
hussys
hymened
hymener
hymenes
hymening
hymenly
hymens
inbred
inbreded
inbreder
inbredes
inbreding
inbredly
inbreds
incest
incested
incester
incestes
incesting
incestly
incests
injun
injuned
injuner
injunes
injuning
injunly
injuns
jackass
jackassed
jackasser
jackasses
jackassing
jackassly
jackasss
jackhole
jackholeed
jackholeer
jackholees
jackholeing
jackholely
jackholes
jackoff
jackoffed
jackoffer
jackoffes
jackoffing
jackoffly
jackoffs
jap
japed
japer
japes
japing
japly
japs
japsed
japser
japses
japsing
japsly
japss
jerkoff
jerkoffed
jerkoffer
jerkoffes
jerkoffing
jerkoffly
jerkoffs
jerks
jism
jismed
jismer
jismes
jisming
jismly
jisms
jiz
jized
jizer
jizes
jizing
jizly
jizm
jizmed
jizmer
jizmes
jizming
jizmly
jizms
jizs
jizz
jizzed
jizzeded
jizzeder
jizzedes
jizzeding
jizzedly
jizzeds
jizzer
jizzes
jizzing
jizzly
jizzs
junkie
junkieed
junkieer
junkiees
junkieing
junkiely
junkies
junky
junkyed
junkyer
junkyes
junkying
junkyly
junkys
kike
kikeed
kikeer
kikees
kikeing
kikely
kikes
kikesed
kikeser
kikeses
kikesing
kikesly
kikess
killed
killer
killes
killing
killly
kills
kinky
kinkyed
kinkyer
kinkyes
kinkying
kinkyly
kinkys
kkk
kkked
kkker
kkkes
kkking
kkkly
kkks
klan
klaned
klaner
klanes
klaning
klanly
klans
knobend
knobended
knobender
knobendes
knobending
knobendly
knobends
kooch
kooched
koocher
kooches
koochesed
koocheser
koocheses
koochesing
koochesly
koochess
kooching
koochly
koochs
kootch
kootched
kootcher
kootches
kootching
kootchly
kootchs
kraut
krauted
krauter
krautes
krauting
krautly
krauts
kyke
kykeed
kykeer
kykees
kykeing
kykely
kykes
lech
leched
lecher
leches
leching
lechly
lechs
leper
lepered
leperer
leperes
lepering
leperly
lepers
lesbiansed
lesbianser
lesbianses
lesbiansing
lesbiansly
lesbianss
lesbo
lesboed
lesboer
lesboes
lesboing
lesboly
lesbos
lesbosed
lesboser
lesboses
lesbosing
lesbosly
lesboss
lez
lezbianed
lezbianer
lezbianes
lezbianing
lezbianly
lezbians
lezbiansed
lezbianser
lezbianses
lezbiansing
lezbiansly
lezbianss
lezbo
lezboed
lezboer
lezboes
lezboing
lezboly
lezbos
lezbosed
lezboser
lezboses
lezbosing
lezbosly
lezboss
lezed
lezer
lezes
lezing
lezly
lezs
lezzie
lezzieed
lezzieer
lezziees
lezzieing
lezziely
lezzies
lezziesed
lezzieser
lezzieses
lezziesing
lezziesly
lezziess
lezzy
lezzyed
lezzyer
lezzyes
lezzying
lezzyly
lezzys
lmaoed
lmaoer
lmaoes
lmaoing
lmaoly
lmaos
lmfao
lmfaoed
lmfaoer
lmfaoes
lmfaoing
lmfaoly
lmfaos
loined
loiner
loines
loining
loinly
loins
loinsed
loinser
loinses
loinsing
loinsly
loinss
lubeed
lubeer
lubees
lubeing
lubely
lubes
lusty
lustyed
lustyer
lustyes
lustying
lustyly
lustys
massa
massaed
massaer
massaes
massaing
massaly
massas
masterbate
masterbateed
masterbateer
masterbatees
masterbateing
masterbately
masterbates
masterbating
masterbatinged
masterbatinger
masterbatinges
masterbatinging
masterbatingly
masterbatings
masterbation
masterbationed
masterbationer
masterbationes
masterbationing
masterbationly
masterbations
masturbate
masturbateed
masturbateer
masturbatees
masturbateing
masturbately
masturbates
masturbating
masturbatinged
masturbatinger
masturbatinges
masturbatinging
masturbatingly
masturbatings
masturbation
masturbationed
masturbationer
masturbationes
masturbationing
masturbationly
masturbations
methed
mether
methes
mething
methly
meths
militaryed
militaryer
militaryes
militarying
militaryly
militarys
mofo
mofoed
mofoer
mofoes
mofoing
mofoly
mofos
molest
molested
molester
molestes
molesting
molestly
molests
moolie
moolieed
moolieer
mooliees
moolieing
mooliely
moolies
moron
moroned
moroner
morones
moroning
moronly
morons
motherfucka
motherfuckaed
motherfuckaer
motherfuckaes
motherfuckaing
motherfuckaly
motherfuckas
motherfucker
motherfuckered
motherfuckerer
motherfuckeres
motherfuckering
motherfuckerly
motherfuckers
motherfucking
motherfuckinged
motherfuckinger
motherfuckinges
motherfuckinging
motherfuckingly
motherfuckings
mtherfucker
mtherfuckered
mtherfuckerer
mtherfuckeres
mtherfuckering
mtherfuckerly
mtherfuckers
mthrfucker
mthrfuckered
mthrfuckerer
mthrfuckeres
mthrfuckering
mthrfuckerly
mthrfuckers
mthrfucking
mthrfuckinged
mthrfuckinger
mthrfuckinges
mthrfuckinging
mthrfuckingly
mthrfuckings
muff
muffdiver
muffdivered
muffdiverer
muffdiveres
muffdivering
muffdiverly
muffdivers
muffed
muffer
muffes
muffing
muffly
muffs
murdered
murderer
murderes
murdering
murderly
murders
muthafuckaz
muthafuckazed
muthafuckazer
muthafuckazes
muthafuckazing
muthafuckazly
muthafuckazs
muthafucker
muthafuckered
muthafuckerer
muthafuckeres
muthafuckering
muthafuckerly
muthafuckers
mutherfucker
mutherfuckered
mutherfuckerer
mutherfuckeres
mutherfuckering
mutherfuckerly
mutherfuckers
mutherfucking
mutherfuckinged
mutherfuckinger
mutherfuckinges
mutherfuckinging
mutherfuckingly
mutherfuckings
muthrfucking
muthrfuckinged
muthrfuckinger
muthrfuckinges
muthrfuckinging
muthrfuckingly
muthrfuckings
nad
naded
nader
nades
nading
nadly
nads
nadsed
nadser
nadses
nadsing
nadsly
nadss
nakeded
nakeder
nakedes
nakeding
nakedly
nakeds
napalm
napalmed
napalmer
napalmes
napalming
napalmly
napalms
nappy
nappyed
nappyer
nappyes
nappying
nappyly
nappys
nazi
nazied
nazier
nazies
naziing
nazily
nazis
nazism
nazismed
nazismer
nazismes
nazisming
nazismly
nazisms
negro
negroed
negroer
negroes
negroing
negroly
negros
nigga
niggaed
niggaer
niggaes
niggah
niggahed
niggaher
niggahes
niggahing
niggahly
niggahs
niggaing
niggaly
niggas
niggased
niggaser
niggases
niggasing
niggasly
niggass
niggaz
niggazed
niggazer
niggazes
niggazing
niggazly
niggazs
nigger
niggered
niggerer
niggeres
niggering
niggerly
niggers
niggersed
niggerser
niggerses
niggersing
niggersly
niggerss
niggle
niggleed
niggleer
nigglees
niggleing
nigglely
niggles
niglet
nigleted
nigleter
nigletes
nigleting
nigletly
niglets
nimrod
nimroded
nimroder
nimrodes
nimroding
nimrodly
nimrods
ninny
ninnyed
ninnyer
ninnyes
ninnying
ninnyly
ninnys
nooky
nookyed
nookyer
nookyes
nookying
nookyly
nookys
nuccitelli
nuccitellied
nuccitellier
nuccitellies
nuccitelliing
nuccitellily
nuccitellis
nympho
nymphoed
nymphoer
nymphoes
nymphoing
nympholy
nymphos
opium
opiumed
opiumer
opiumes
opiuming
opiumly
opiums
orgies
orgiesed
orgieser
orgieses
orgiesing
orgiesly
orgiess
orgy
orgyed
orgyer
orgyes
orgying
orgyly
orgys
paddy
paddyed
paddyer
paddyes
paddying
paddyly
paddys
paki
pakied
pakier
pakies
pakiing
pakily
pakis
pantie
pantieed
pantieer
pantiees
pantieing
pantiely
panties
pantiesed
pantieser
pantieses
pantiesing
pantiesly
pantiess
panty
pantyed
pantyer
pantyes
pantying
pantyly
pantys
pastie
pastieed
pastieer
pastiees
pastieing
pastiely
pasties
pasty
pastyed
pastyer
pastyes
pastying
pastyly
pastys
pecker
peckered
peckerer
peckeres
peckering
peckerly
peckers
pedo
pedoed
pedoer
pedoes
pedoing
pedoly
pedophile
pedophileed
pedophileer
pedophilees
pedophileing
pedophilely
pedophiles
pedophilia
pedophiliac
pedophiliaced
pedophiliacer
pedophiliaces
pedophiliacing
pedophiliacly
pedophiliacs
pedophiliaed
pedophiliaer
pedophiliaes
pedophiliaing
pedophilialy
pedophilias
pedos
penial
penialed
penialer
peniales
penialing
penially
penials
penile
penileed
penileer
penilees
penileing
penilely
peniles
penis
penised
peniser
penises
penising
penisly
peniss
perversion
perversioned
perversioner
perversiones
perversioning
perversionly
perversions
peyote
peyoteed
peyoteer
peyotees
peyoteing
peyotely
peyotes
phuck
phucked
phucker
phuckes
phucking
phuckly
phucks
pillowbiter
pillowbitered
pillowbiterer
pillowbiteres
pillowbitering
pillowbiterly
pillowbiters
pimp
pimped
pimper
pimpes
pimping
pimply
pimps
pinko
pinkoed
pinkoer
pinkoes
pinkoing
pinkoly
pinkos
pissed
pisseded
pisseder
pissedes
pisseding
pissedly
pisseds
pisser
pisses
pissing
pissly
pissoff
pissoffed
pissoffer
pissoffes
pissoffing
pissoffly
pissoffs
pisss
polack
polacked
polacker
polackes
polacking
polackly
polacks
pollock
pollocked
pollocker
pollockes
pollocking
pollockly
pollocks
poon
pooned
pooner
poones
pooning
poonly
poons
poontang
poontanged
poontanger
poontanges
poontanging
poontangly
poontangs
porn
porned
porner
pornes
porning
pornly
porno
pornoed
pornoer
pornoes
pornography
pornographyed
pornographyer
pornographyes
pornographying
pornographyly
pornographys
pornoing
pornoly
pornos
porns
prick
pricked
pricker
prickes
pricking
prickly
pricks
prig
priged
priger
priges
priging
prigly
prigs
prostitute
prostituteed
prostituteer
prostitutees
prostituteing
prostitutely
prostitutes
prude
prudeed
prudeer
prudees
prudeing
prudely
prudes
punkass
punkassed
punkasser
punkasses
punkassing
punkassly
punkasss
punky
punkyed
punkyer
punkyes
punkying
punkyly
punkys
puss
pussed
pusser
pusses
pussies
pussiesed
pussieser
pussieses
pussiesing
pussiesly
pussiess
pussing
pussly
pusss
pussy
pussyed
pussyer
pussyes
pussying
pussyly
pussypounder
pussypoundered
pussypounderer
pussypounderes
pussypoundering
pussypounderly
pussypounders
pussys
puto
putoed
putoer
putoes
putoing
putoly
putos
queaf
queafed
queafer
queafes
queafing
queafly
queafs
queef
queefed
queefer
queefes
queefing
queefly
queefs
queer
queered
queerer
queeres
queering
queerly
queero
queeroed
queeroer
queeroes
queeroing
queeroly
queeros
queers
queersed
queerser
queerses
queersing
queersly
queerss
quicky
quickyed
quickyer
quickyes
quickying
quickyly
quickys
quim
quimed
quimer
quimes
quiming
quimly
quims
racy
racyed
racyer
racyes
racying
racyly
racys
rape
raped
rapeded
rapeder
rapedes
rapeding
rapedly
rapeds
rapeed
rapeer
rapees
rapeing
rapely
raper
rapered
raperer
raperes
rapering
raperly
rapers
rapes
rapist
rapisted
rapister
rapistes
rapisting
rapistly
rapists
raunch
raunched
rauncher
raunches
raunching
raunchly
raunchs
rectus
rectused
rectuser
rectuses
rectusing
rectusly
rectuss
reefer
reefered
reeferer
reeferes
reefering
reeferly
reefers
reetard
reetarded
reetarder
reetardes
reetarding
reetardly
reetards
reich
reiched
reicher
reiches
reiching
reichly
reichs
retard
retarded
retardeded
retardeder
retardedes
retardeding
retardedly
retardeds
retarder
retardes
retarding
retardly
retards
rimjob
rimjobed
rimjober
rimjobes
rimjobing
rimjobly
rimjobs
ritard
ritarded
ritarder
ritardes
ritarding
ritardly
ritards
rtard
rtarded
rtarder
rtardes
rtarding
rtardly
rtards
rum
rumed
rumer
rumes
ruming
rumly
rump
rumped
rumper
rumpes
rumping
rumply
rumprammer
rumprammered
rumprammerer
rumprammeres
rumprammering
rumprammerly
rumprammers
rumps
rums
ruski
ruskied
ruskier
ruskies
ruskiing
ruskily
ruskis
sadism
sadismed
sadismer
sadismes
sadisming
sadismly
sadisms
sadist
sadisted
sadister
sadistes
sadisting
sadistly
sadists
scag
scaged
scager
scages
scaging
scagly
scags
scantily
scantilyed
scantilyer
scantilyes
scantilying
scantilyly
scantilys
schlong
schlonged
schlonger
schlonges
schlonging
schlongly
schlongs
scrog
scroged
scroger
scroges
scroging
scrogly
scrogs
scrot
scrote
scroted
scroteed
scroteer
scrotees
scroteing
scrotely
scroter
scrotes
scroting
scrotly
scrots
scrotum
scrotumed
scrotumer
scrotumes
scrotuming
scrotumly
scrotums
scrud
scruded
scruder
scrudes
scruding
scrudly
scruds
scum
scumed
scumer
scumes
scuming
scumly
scums
seaman
seamaned
seamaner
seamanes
seamaning
seamanly
seamans
seamen
seamened
seamener
seamenes
seamening
seamenly
seamens
seduceed
seduceer
seducees
seduceing
seducely
seduces
semen
semened
semener
semenes
semening
semenly
semens
shamedame
shamedameed
shamedameer
shamedamees
shamedameing
shamedamely
shamedames
shit
shite
shiteater
shiteatered
shiteaterer
shiteateres
shiteatering
shiteaterly
shiteaters
shited
shiteed
shiteer
shitees
shiteing
shitely
shiter
shites
shitface
shitfaceed
shitfaceer
shitfacees
shitfaceing
shitfacely
shitfaces
shithead
shitheaded
shitheader
shitheades
shitheading
shitheadly
shitheads
shithole
shitholeed
shitholeer
shitholees
shitholeing
shitholely
shitholes
shithouse
shithouseed
shithouseer
shithousees
shithouseing
shithousely
shithouses
shiting
shitly
shits
shitsed
shitser
shitses
shitsing
shitsly
shitss
shitt
shitted
shitteded
shitteder
shittedes
shitteding
shittedly
shitteds
shitter
shittered
shitterer
shitteres
shittering
shitterly
shitters
shittes
shitting
shittly
shitts
shitty
shittyed
shittyer
shittyes
shittying
shittyly
shittys
shiz
shized
shizer
shizes
shizing
shizly
shizs
shooted
shooter
shootes
shooting
shootly
shoots
sissy
sissyed
sissyer
sissyes
sissying
sissyly
sissys
skag
skaged
skager
skages
skaging
skagly
skags
skank
skanked
skanker
skankes
skanking
skankly
skanks
slave
slaveed
slaveer
slavees
slaveing
slavely
slaves
sleaze
sleazeed
sleazeer
sleazees
sleazeing
sleazely
sleazes
sleazy
sleazyed
sleazyer
sleazyes
sleazying
sleazyly
sleazys
slut
slutdumper
slutdumpered
slutdumperer
slutdumperes
slutdumpering
slutdumperly
slutdumpers
sluted
sluter
slutes
sluting
slutkiss
slutkissed
slutkisser
slutkisses
slutkissing
slutkissly
slutkisss
slutly
sluts
slutsed
slutser
slutses
slutsing
slutsly
slutss
smegma
smegmaed
smegmaer
smegmaes
smegmaing
smegmaly
smegmas
smut
smuted
smuter
smutes
smuting
smutly
smuts
smutty
smuttyed
smuttyer
smuttyes
smuttying
smuttyly
smuttys
snatch
snatched
snatcher
snatches
snatching
snatchly
snatchs
sniper
snipered
sniperer
sniperes
snipering
sniperly
snipers
snort
snorted
snorter
snortes
snorting
snortly
snorts
snuff
snuffed
snuffer
snuffes
snuffing
snuffly
snuffs
sodom
sodomed
sodomer
sodomes
sodoming
sodomly
sodoms
spic
spiced
spicer
spices
spicing
spick
spicked
spicker
spickes
spicking
spickly
spicks
spicly
spics
spik
spoof
spoofed
spoofer
spoofes
spoofing
spoofly
spoofs
spooge
spoogeed
spoogeer
spoogees
spoogeing
spoogely
spooges
spunk
spunked
spunker
spunkes
spunking
spunkly
spunks
steamyed
steamyer
steamyes
steamying
steamyly
steamys
stfu
stfued
stfuer
stfues
stfuing
stfuly
stfus
stiffy
stiffyed
stiffyer
stiffyes
stiffying
stiffyly
stiffys
stoneded
stoneder
stonedes
stoneding
stonedly
stoneds
stupided
stupider
stupides
stupiding
stupidly
stupids
suckeded
suckeder
suckedes
suckeding
suckedly
suckeds
sucker
suckes
sucking
suckinged
suckinger
suckinges
suckinging
suckingly
suckings
suckly
sucks
sumofabiatch
sumofabiatched
sumofabiatcher
sumofabiatches
sumofabiatching
sumofabiatchly
sumofabiatchs
tard
tarded
tarder
tardes
tarding
tardly
tards
tawdry
tawdryed
tawdryer
tawdryes
tawdrying
tawdryly
tawdrys
teabagging
teabagginged
teabagginger
teabagginges
teabagginging
teabaggingly
teabaggings
terd
terded
terder
terdes
terding
terdly
terds
teste
testee
testeed
testeeed
testeeer
testeees
testeeing
testeely
testeer
testees
testeing
testely
testes
testesed
testeser
testeses
testesing
testesly
testess
testicle
testicleed
testicleer
testiclees
testicleing
testiclely
testicles
testis
testised
testiser
testises
testising
testisly
testiss
thrusted
thruster
thrustes
thrusting
thrustly
thrusts
thug
thuged
thuger
thuges
thuging
thugly
thugs
tinkle
tinkleed
tinkleer
tinklees
tinkleing
tinklely
tinkles
tit
tited
titer
tites
titfuck
titfucked
titfucker
titfuckes
titfucking
titfuckly
titfucks
titi
titied
titier
tities
titiing
titily
titing
titis
titly
tits
titsed
titser
titses
titsing
titsly
titss
tittiefucker
tittiefuckered
tittiefuckerer
tittiefuckeres
tittiefuckering
tittiefuckerly
tittiefuckers
titties
tittiesed
tittieser
tittieses
tittiesing
tittiesly
tittiess
titty
tittyed
tittyer
tittyes
tittyfuck
tittyfucked
tittyfucker
tittyfuckered
tittyfuckerer
tittyfuckeres
tittyfuckering
tittyfuckerly
tittyfuckers
tittyfuckes
tittyfucking
tittyfuckly
tittyfucks
tittying
tittyly
tittys
toke
tokeed
tokeer
tokees
tokeing
tokely
tokes
toots
tootsed
tootser
tootses
tootsing
tootsly
tootss
tramp
tramped
tramper
trampes
tramping
tramply
tramps
transsexualed
transsexualer
transsexuales
transsexualing
transsexually
transsexuals
trashy
trashyed
trashyer
trashyes
trashying
trashyly
trashys
tubgirl
tubgirled
tubgirler
tubgirles
tubgirling
tubgirlly
tubgirls
turd
turded
turder
turdes
turding
turdly
turds
tush
tushed
tusher
tushes
tushing
tushly
tushs
twat
twated
twater
twates
twating
twatly
twats
twatsed
twatser
twatses
twatsing
twatsly
twatss
undies
undiesed
undieser
undieses
undiesing
undiesly
undiess
unweded
unweder
unwedes
unweding
unwedly
unweds
uzi
uzied
uzier
uzies
uziing
uzily
uzis
vag
vaged
vager
vages
vaging
vagly
vags
valium
valiumed
valiumer
valiumes
valiuming
valiumly
valiums
venous
virgined
virginer
virgines
virgining
virginly
virgins
vixen
vixened
vixener
vixenes
vixening
vixenly
vixens
vodkaed
vodkaer
vodkaes
vodkaing
vodkaly
vodkas
voyeur
voyeured
voyeurer
voyeures
voyeuring
voyeurly
voyeurs
vulgar
vulgared
vulgarer
vulgares
vulgaring
vulgarly
vulgars
wang
wanged
wanger
wanges
wanging
wangly
wangs
wank
wanked
wanker
wankered
wankerer
wankeres
wankering
wankerly
wankers
wankes
wanking
wankly
wanks
wazoo
wazooed
wazooer
wazooes
wazooing
wazooly
wazoos
wedgie
wedgieed
wedgieer
wedgiees
wedgieing
wedgiely
wedgies
weeded
weeder
weedes
weeding
weedly
weeds
weenie
weenieed
weenieer
weeniees
weenieing
weeniely
weenies
weewee
weeweeed
weeweeer
weeweees
weeweeing
weeweely
weewees
weiner
weinered
weinerer
weineres
weinering
weinerly
weiners
weirdo
weirdoed
weirdoer
weirdoes
weirdoing
weirdoly
weirdos
wench
wenched
wencher
wenches
wenching
wenchly
wenchs
wetback
wetbacked
wetbacker
wetbackes
wetbacking
wetbackly
wetbacks
whitey
whiteyed
whiteyer
whiteyes
whiteying
whiteyly
whiteys
whiz
whized
whizer
whizes
whizing
whizly
whizs
whoralicious
whoralicioused
whoraliciouser
whoraliciouses
whoraliciousing
whoraliciously
whoraliciouss
whore
whorealicious
whorealicioused
whorealiciouser
whorealiciouses
whorealiciousing
whorealiciously
whorealiciouss
whored
whoreded
whoreder
whoredes
whoreding
whoredly
whoreds
whoreed
whoreer
whorees
whoreface
whorefaceed
whorefaceer
whorefacees
whorefaceing
whorefacely
whorefaces
whorehopper
whorehoppered
whorehopperer
whorehopperes
whorehoppering
whorehopperly
whorehoppers
whorehouse
whorehouseed
whorehouseer
whorehousees
whorehouseing
whorehousely
whorehouses
whoreing
whorely
whores
whoresed
whoreser
whoreses
whoresing
whoresly
whoress
whoring
whoringed
whoringer
whoringes
whoringing
whoringly
whorings
wigger
wiggered
wiggerer
wiggeres
wiggering
wiggerly
wiggers
woody
woodyed
woodyer
woodyes
woodying
woodyly
woodys
wop
woped
woper
wopes
woping
woply
wops
wtf
wtfed
wtfer
wtfes
wtfing
wtfly
wtfs
xxx
xxxed
xxxer
xxxes
xxxing
xxxly
xxxs
yeasty
yeastyed
yeastyer
yeastyes
yeastying
yeastyly
yeastys
yobbo
yobboed
yobboer
yobboes
yobboing
yobboly
yobbos
zoophile
zoophileed
zoophileer
zoophilees
zoophileing
zoophilely
zoophiles
anal
ass
ass lick
balls
ballsac
bisexual
bleach
causas
cheap
cost of miracles
cunt
display network stats
fart
fda and death
fda AND warn
fda AND warning
fda AND warns
feom
fuck
gfc
humira AND expensive
illegal
madvocate
masturbation
nuccitelli
overdose
porn
shit
snort
texarkana
Bipolar depression
Depression
adolescent depression
adolescent major depressive disorder
adolescent schizophrenia
adolescent with major depressive disorder
animals
autism
baby
brexpiprazole
child
child bipolar
child depression
child schizophrenia
children with bipolar disorder
children with depression
children with major depressive disorder
compulsive behaviors
cure
elderly bipolar
elderly depression
elderly major depressive disorder
elderly schizophrenia
elderly with dementia
first break
first episode
gambling
gaming
geriatric depression
geriatric major depressive disorder
geriatric schizophrenia
infant
kid
major depressive disorder
major depressive disorder in adolescents
major depressive disorder in children
parenting
pediatric
pediatric bipolar
pediatric depression
pediatric major depressive disorder
pediatric schizophrenia
pregnancy
pregnant
rexulti
skin care
teen
wine
section[contains(@class, 'nav-hidden')]
footer[@id='footer']
div[contains(@class, 'pane-node-field-article-topics')]
section[contains(@class, 'footer-nav-section-wrapper')]
section[contains(@class, 'content-row')]
div[contains(@class, 'panel-pane pane-article-read-next')]
A peer-reviewed clinical journal serving healthcare professionals working with the Department of Veterans Affairs, the Department of Defense, and the Public Health Service.
Cross-Sectional Analysis of Biologic Use in the Treatment of Veterans With Hidradenitis Suppurativa
Cross-Sectional Analysis of Biologic Use in the Treatment of Veterans With Hidradenitis Suppurativa
Hidradenitis suppurativa (HS) is a chronic, inflammatory skin disorder characterized by painful nodules, abscesses, and tunnels predominantly affecting intertriginous areas of the body.1,2 The condition poses significant challenges in terms of diagnosis, treatment, and quality of life for affected individuals. Various systemic therapies have been explored to manage this debilitating condition, with the emergence of biologic agents offering hope for improved outcomes. In 2015, adalimumab (ADA) was the first biologic approved by the US Food and Drug Administration (FDA) for the treatment of HS, followed by secukinumab in 2023 and bimekizumab in 2024. However, the off-label use of other biologics and/or tumor necrosis factor inhibitors such as infliximab (IFX) has become common practice.3
Although these therapies have demonstrated promising results in the treatment of HS, their widespread use may be hindered by accessibility and cost barriers. Orenstein et al analyzed data from the IBM Explorys platform from 2015 to 2020 and found that only 1.8% of patients diagnosed with HS had been prescribed ADA or IFX.4 More recently, Garg et al examined IBM MarketScan and IBM US Medicaid data from 2015 to 2018 to evaluate trends in clinical care and treatment. The prevalence of ADA and IFX prescriptions among patients with HS ranged from 2.3% to 8.0% (ADA) and 0.7% to 0.9% (IFX) for patients with commercial insurance, and 1.4% to 4.8% (ADA) and 0.5% to 0.7% (IFX) for patients with Medicaid.5 Biologics are often expensive, and the high cost associated with these therapies has been identified as a significant barrier to access for patients with HS, particularly those who lack adequate insurance coverage or face financial constraints.6
Furthermore, these barriers, particularly the financial barriers, are potentially compounded by the demographics of patients most notably affected by HS. In the US, a disproportionate incidence of HS has been noted in specific groups and age ranges, including women, individuals aged 18 to 29 years, and Black individuals.4 Orenstein et al found a statistically significant difference in use of ADA and IFX biologics based on age, sex, and race.4
The aim of this study was to examine the use of 2 biologics (ADA and IFX) in the Veterans Health Administration (VHA), a unique population in which financial barriers are reduced due to the single-payer government health care system structure. This design allowed for improved isolation and evaluation of variation in ADA and/or IFX prescription rates by demographics and health-related factors among patients with HS. To our knowledge, no studies have analyzed these metrics within the VHA.
Methods
This retrospective, cross-sectional analysis of VHA patients used data from the US Department of Veterans Affairs (VA) Corporate Data Warehouse, a data repository that provides access to longitudinal national electronic health record data for all veterans receiving care through VHA facilities. This study received ethical approval from institutional review boards at the Minneapolis Veterans Affairs Health Care System and VA Salt Lake City Healthcare System. Patient information was deidentified, and patient consent was not required.
Patients with HS were identified using ≥ 1 International Classification of Diseases (ICD) diagnostic code: (ICD-9 [705.83] or ICD-10 [L73.2]) between January 1, 2011, and December 31, 2021. The study included patients aged ≥ 18 years as of January 1, 2011, with ≥ 2 patient encounters during the postdiagnosis follow-up period, and with ≥ 1 encounter 6 months postindex. Patients with a biologic prescription prior to HS diagnosis were excluded. For this study, the term biologics refers to ADA and/or IFX prescriptions, unless otherwise specified. Only ADA and IFX were included in this analysis because ADA, a tumor necrosis factor (TNF)-á inhibitor, was the only FDA-approved medication at the time of the search, and IFX is another common TNF-α inhibitor used for the treatment of HS.
Statistical Analysis
We calculated logistic regression using SAS 9.4 (SAS Institute, Cary, NC). For each variable, the univariate relationship with biologic prescriptions was examined first, followed by the multivariate relationship controlling for all other variables. The following variables were controlled for in the multivariate models and were chosen a priori: sex, age, race, ethnicity, US region, hospital setting, current or previous tobacco use, obesity (defined as body mass index [BMI] ≥ 30), and Charlson Comorbidity Index (CCI).7
Results
Using ICD codes, we identified 29,483 individuals with ≥ 1 HS diagnosis (Figure 1). Of those identified, 1537 patients (5.21%) had been prescribed ≥ 1 biologic. The cohort was predominantly White (60.56%), male (75.27%), obese (59.34%), and had a history of current or previous tobacco use (73.47%) (Table 1). There were significant adjusted differences in prescription rates among veterans with HS based on age, race, and BMI. Notably, there was an age-dependent reduction in the odds of being prescribed a biologic in patients with HS. Compared with patients aged 18 to 44 years, patients aged 45 to 64 years (adjusted odds ratio [aOR], 0.63; 95% CI, 0.54–0.74; P < .001) and patients aged ≥ 65 years (aOR, 0.36; 95% CI, 0.27–0.48; P < .001) had significantly lower odds of receiving a biologic prescription (Table 2). Compared with White patients with HS, Native Hawaiian (NH) or Pacific Islander (PI) patients were less likely to be prescribed a biologic (aOR, 0.23; 95% CI, 0.06–0.92; P = .04). Patients with obesity had significantly higher odds of receiving a biologic prescription compared with patients without obesity (aOR, 1.47; 95% CI, 1.27– 1.71; P < .001).
Included in Analysis.
After adjusting for the variables listed in Table 1, there were no significant differences in biologic prescription rates for men compared with women (aOR, 0.97; 95% CI, 0.83-1.12; P = .68). We observed slight variations in biologic prescriptions between US regions (Midwest 5.0%, East 4.2%, South 5.8%, West 4.6%), none of which were significantly different in the fully adjusted model. No statistically significant differences were found in biologic prescriptions between urban and rural VA settings (5.4% vs 4.8%; aOR, 1.06; 95% CI, 0.90–1.24; P = .47). Tobacco use was not associated with the rate of biologic prescription receipt (aOR, 1.14; 95% CI, 0.97–1.34; P = .11). After adjusting for other variables (as outlined in Table 2), no significant differences were found between CCI of 0 and 1 (aOR, 0.97; 95% CI, 0.82–1.16; P = .77) or between CCI of 0 and 2 (aOR, 0.89; 95% CI, 0.74–1.07; P = .22).7


Discussion
The aim of the study was to ascertain potential discrepancies in biologic prescription patterns among patients with HS in the VHA by demographic and lifestyle behavior modifiers. Veteran cohorts are unique in composition, consisting predominantly of older White men within a single-payer health care system. The prevalence of biologic prescriptions in this population was low (5.2%), consistent with prior studies (1.8%–8.9%).4,5
We found a significant difference in ADA/IFX prescription patterns between White patients and NH/PI patients (aOR, 0.23; 95% CI, 0.06-0.92; P = .04). Further replication of this result is needed due to the small number of NH/PI patients included in the study (n = 241). Notably, we did not find a significant difference in the odds of Black patients being prescribed a biologic compared with White patients (aOR, 1.07; 95% CI, 0.92–1.25; P = .38), consistent with prior studies.4
In line with prior studies, age was associated with the likelihood of receiving a biologic prescription.4 Using the multivariate model adjusting for variables listed in Table 1, including CCI, patients aged 45 to 64 years and > 64 years were less likely to be prescribed a biologic than patients aged 18 to 44 years. HS disease activity could be a potential confounding variable, as HS severity may subside in some people with increasing age or menopause.8
Because different regions in the US have different sociopolitical ideologies and governing legislation, we hypothesized that there may be dissimilarities in the prevalence rates of biologic prescribing across various US regions. However, no significant differences were found in prescription patterns among US regions or between rural and urban settings. Previous research has demonstrated discernible disparities in both dermatologic care and clinical outcomes based on hospital setting (ie, urban vs rural).9-11
Tobacco use has been demonstrated to be associated with the development of HS.12 In a large retrospective analysis, Garg et al reported increased odds of receiving a new HS diagnosis in known tobacco users (aOR, 1.9; 95% CI, 1.8–2.0).13 The extent to which tobacco use affects HS severity is less understood. While some studies have found an association between smoking and HS severity, other analyses have failed to find this association.14,15 The effects of smoking cessation on the disease course of HS are unknown.16 This analysis, found no significant difference in prescriptions for biologics among patients with HS comparing current or previous tobacco users with nonusers.
There is a known positive correlation between increasing BMI and HS prevalence and severity that may be explained by the downstream effects of adipose tissue secretion of proinflammatory mediators and insulin resistance in the setting of chronic inflammation.12 This analysis found that patients with HS and obesity were 1.47 times more likely to be prescribed a biologic than patients with HS without obesity, which may be confounded by increased HS severity among patients with obesity. The initial concern when analyzing tobacco use and obesity was that clinician bias may result in a decrease in the prevalence of biologic use in these demographics, which was not supported in this study.
Although we identified few disparities, the results demonstrated a substantial underutilization of biologic therapies (5.2%), similar to the other US civilian studies (1.8-8.9%).4,5 While there is no current universal, standardized severity scoring system to evaluate HS (it is difficult to objectively define moderate to severe HS), estimates have shown that 40.3% to 65.8% of patients with HS have Hurley stage II or III.17-19 Therefore, only a small percentage of patients with moderate to severe disease were prescribed the only FDA-approved medication during this time period. The persistence of this underutilization within a medical system that reduces financial barriers suggests that nonfinancial barriers have a notable role in the underutilization of biologics.
For instance, risk of adverse events, particularly lymphoma and infection, has been cited by patients as a reason to avoid biologics. Additionally, treatment fatigue reduced some patients’ willingness to try new treatments, as did lack of knowledge about treatment options.6,20 Other reported barriers included the frequency of injections and fear of needles.6 Additionally, within the VA, ADA may require prior authorization at the local facility level.21 An established relationship with a dermatologist has been shown to significantly increase the odds of being prescribed a biologic medication in the face of these barriers.4 Future system-wide quality improvement initiatives could be implemented to identify patients with HS not followed by dermatology, with the goal of establishing care with a dermatologist.
Limitations
Limitations to this study include an inability to categorize HS disease severity and assess the degree to which disease severity confounded study findings, particularly in relation to tobacco use and obesity. The generalizability of this study is also limited because of the demographic characteristics of the veteran patient population, which is predominantly older, White, and male, whereas HS disproportionately affects younger, Black, and female individuals in the US.22 Despite these limitations, this study contributes valuable insights into the use of biologic therapies for veteran populations with HS using a national dataset.
Conclusions
This study was performed within a single-payer government medical system, likely reducing or removing the financial barriers that some patient populations may face when pursuing biologics for HS treatment. However, the prevalence of biologic use in this population was low overall (5.2%), suggesting that other factors play a role in the underutilization of biologics in HS. Consistent with previous studies, younger individuals were more likely to be prescribed a biologic, and no difference in prescription rates between Black and White patients was observed. Unlike previous studies, no significant difference in prescription rates between men and women was observed.
- Goldburg SR, Strober BE, Payette MJ. Hidradenitis suppurativa: epidemiology, clinical presentation, and pathogenesis. J Am Acad Dermatol. 2020;82:1045-1058. doi:10.1016/j.jaad.2019.08.090
- Tchero H, Herlin C, Bekara F, et al. Hidradenitis suppurativa: a systematic review and meta-analysis of therapeutic interventions. Indian J Dermatol Venereol Leprol. 2019;85:248-257. doi:10.4103/ijdvl.IJDVL_69_18
- Shih T, Lee K, Grogan T, et al. Infliximab in hidradenitis suppurativa: a systematic review and meta-analysis. Dermatol Ther. 2022;35:e15691. doi:10.1111/dth.15691
- Orenstein LAV, Wright S, Strunk A, et al. Low prescription of tumor necrosis alpha inhibitors in hidradenitis suppurativa: a cross-sectional analysis. J Am Acad Dermatol. 2021;84:1399-1401. doi:10.1016/j.jaad.2020.07.108
- Garg A, Naik HB, Alavi A, et al. Real-world findings on the characteristics and treatment exposures of patients with hidradenitis suppurativa from US claims data. Dermatol Ther (Heidelb). 2023;13:581-594. doi:10.1007/s13555-022-00872-1
- De DR, Shih T, Fixsen D, et al. Biologic use in hidradenitis suppurativa: patient perspectives and barriers. J Dermatolog Treat. 2022;33:3060-3062. doi:10.1080/09546634.2022.2089336
- Charlson ME, Pompei P, Ales KL, et al. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40:373- 383. doi:10.1016/0021-9681(87)90171-8
- von der Werth JM, Williams HC. The natural history of hidradenitis suppurativa. J Eur Acad Dermatol Venereol. 2000;14:389-392. doi:10.1046/j.1468-3083.2000.00087.x
- Silverberg JI, Barbarot S, Gadkari A, et al. Atopic dermatitis in the pediatric population: a cross-sectional, international epidemiologic study. Ann Allergy Asthma Immunol. 2021;126:417-428.e2. doi:10.1016/j.anai.2020.12.020
- Wu YP, Parsons B, Jo Y, et al. Outdoor activities and sunburn among urban and rural families in a Western region of the US: implications for skin cancer prevention. Prev Med Rep. 2022;29:101914. doi:10.1016/j.pmedr.2022.101914
- Mannschreck DB, Li X, Okoye G. Rural melanoma patients in Maryland do not present with more advanced disease than urban patients. Dermatol Online J. 2021;27. doi:10.5070/D327553607
- Garg A, Malviya N, Strunk A, et al. Comorbidity screening in hidradenitis suppurativa: evidence-based recommendations from the US and Canadian Hidradenitis Suppurativa Foundations. J Am Acad Dermatol. 2022;86:1092-1101. doi:10.1016/j.jaad.2021.01.059
- Garg A, Papagermanos V, Midura M, et al. Incidence of hidradenitis suppurativa among tobacco smokers: a population- based retrospective analysis in the U.S.A. Br J Dermatol. 2018;178:709-714. doi:10.1111/bjd.15939
- Sartorius K, Emtestam L, Jemec GBE, et al. Objective scoring of hidradenitis suppurativa reflecting the role of tobacco smoking and obesity. Br J Dermatol. 2009;161:831- 839. doi:10.1111/j.1365-2133.2009.09198.x
- Canoui-Poitrine F, Revuz JE, Wolkenstein P, et al. Clinical characteristics of a series of 302 French patients with hidradenitis suppurativa, with an analysis of factors associated with disease severity. J Am Acad Dermatol. 2009;61:51-57. doi:10.1016/j.jaad.2009.02.013
- Dufour DN, Emtestam L, Jemec GB. Hidradenitis suppurativa: a common and burdensome, yet under-recognised, inflammatory skin disease. Postgrad Med J. 2014;90:216- 221. doi:10.1136/postgradmedj-2013-131994
- Vazquez BG, Alikhan A, Weaver AL, et al. Incidence of hidradenitis suppurativa and associated factors: a population- based study of Olmsted County, Minnesota. J Invest Dermatol. 2013;133:97-103. doi:10.1038/jid.2012.255
- Vanlaerhoven AMJD, Ardon CB, van Straalen KR, et al. Hurley III hidradenitis suppurativa has an aggressive disease course. Dermatology. 2018;234:232-233. doi:10.1159/000491547
- Shahi V, Alikhan A, Vazquez BG, et al. Prevalence of hidradenitis suppurativa: a population-based study in Olmsted County, Minnesota. Dermatology. 2014;229:154-158. doi:10.1159/000363381
- Salame N, Sow YN, Siira MR, et al. Factors affecting treatment selection among patients with hidradenitis suppurativa. JAMA Dermatol. 2024;160:179. doi:10.1001/jamadermatol.2023.5425
- VA Formulary Advisor: ADALIMUMAB-BWWD INJ,SOLN. US Department of Veterans Affairs. Updated December 17, 2025. Accessed January 15, 2026. https://www.va.gov/formularyadvisor/drugs/4042383-ADALIMUMAB-BWWD-INJ-SOLN
- Garg A, Lavian J, Lin G, et al. Incidence of hidradenitis suppurativa in the United States: a sex- and age-adjusted population analysis. J Am Acad Dermatol. 2017;77:118- 122. doi:10.1016/j.jaad.2017.02.005
Hidradenitis suppurativa (HS) is a chronic, inflammatory skin disorder characterized by painful nodules, abscesses, and tunnels predominantly affecting intertriginous areas of the body.1,2 The condition poses significant challenges in terms of diagnosis, treatment, and quality of life for affected individuals. Various systemic therapies have been explored to manage this debilitating condition, with the emergence of biologic agents offering hope for improved outcomes. In 2015, adalimumab (ADA) was the first biologic approved by the US Food and Drug Administration (FDA) for the treatment of HS, followed by secukinumab in 2023 and bimekizumab in 2024. However, the off-label use of other biologics and/or tumor necrosis factor inhibitors such as infliximab (IFX) has become common practice.3
Although these therapies have demonstrated promising results in the treatment of HS, their widespread use may be hindered by accessibility and cost barriers. Orenstein et al analyzed data from the IBM Explorys platform from 2015 to 2020 and found that only 1.8% of patients diagnosed with HS had been prescribed ADA or IFX.4 More recently, Garg et al examined IBM MarketScan and IBM US Medicaid data from 2015 to 2018 to evaluate trends in clinical care and treatment. The prevalence of ADA and IFX prescriptions among patients with HS ranged from 2.3% to 8.0% (ADA) and 0.7% to 0.9% (IFX) for patients with commercial insurance, and 1.4% to 4.8% (ADA) and 0.5% to 0.7% (IFX) for patients with Medicaid.5 Biologics are often expensive, and the high cost associated with these therapies has been identified as a significant barrier to access for patients with HS, particularly those who lack adequate insurance coverage or face financial constraints.6
Furthermore, these barriers, particularly the financial barriers, are potentially compounded by the demographics of patients most notably affected by HS. In the US, a disproportionate incidence of HS has been noted in specific groups and age ranges, including women, individuals aged 18 to 29 years, and Black individuals.4 Orenstein et al found a statistically significant difference in use of ADA and IFX biologics based on age, sex, and race.4
The aim of this study was to examine the use of 2 biologics (ADA and IFX) in the Veterans Health Administration (VHA), a unique population in which financial barriers are reduced due to the single-payer government health care system structure. This design allowed for improved isolation and evaluation of variation in ADA and/or IFX prescription rates by demographics and health-related factors among patients with HS. To our knowledge, no studies have analyzed these metrics within the VHA.
Methods
This retrospective, cross-sectional analysis of VHA patients used data from the US Department of Veterans Affairs (VA) Corporate Data Warehouse, a data repository that provides access to longitudinal national electronic health record data for all veterans receiving care through VHA facilities. This study received ethical approval from institutional review boards at the Minneapolis Veterans Affairs Health Care System and VA Salt Lake City Healthcare System. Patient information was deidentified, and patient consent was not required.
Patients with HS were identified using ≥ 1 International Classification of Diseases (ICD) diagnostic code: (ICD-9 [705.83] or ICD-10 [L73.2]) between January 1, 2011, and December 31, 2021. The study included patients aged ≥ 18 years as of January 1, 2011, with ≥ 2 patient encounters during the postdiagnosis follow-up period, and with ≥ 1 encounter 6 months postindex. Patients with a biologic prescription prior to HS diagnosis were excluded. For this study, the term biologics refers to ADA and/or IFX prescriptions, unless otherwise specified. Only ADA and IFX were included in this analysis because ADA, a tumor necrosis factor (TNF)-á inhibitor, was the only FDA-approved medication at the time of the search, and IFX is another common TNF-α inhibitor used for the treatment of HS.
Statistical Analysis
We calculated logistic regression using SAS 9.4 (SAS Institute, Cary, NC). For each variable, the univariate relationship with biologic prescriptions was examined first, followed by the multivariate relationship controlling for all other variables. The following variables were controlled for in the multivariate models and were chosen a priori: sex, age, race, ethnicity, US region, hospital setting, current or previous tobacco use, obesity (defined as body mass index [BMI] ≥ 30), and Charlson Comorbidity Index (CCI).7
Results
Using ICD codes, we identified 29,483 individuals with ≥ 1 HS diagnosis (Figure 1). Of those identified, 1537 patients (5.21%) had been prescribed ≥ 1 biologic. The cohort was predominantly White (60.56%), male (75.27%), obese (59.34%), and had a history of current or previous tobacco use (73.47%) (Table 1). There were significant adjusted differences in prescription rates among veterans with HS based on age, race, and BMI. Notably, there was an age-dependent reduction in the odds of being prescribed a biologic in patients with HS. Compared with patients aged 18 to 44 years, patients aged 45 to 64 years (adjusted odds ratio [aOR], 0.63; 95% CI, 0.54–0.74; P < .001) and patients aged ≥ 65 years (aOR, 0.36; 95% CI, 0.27–0.48; P < .001) had significantly lower odds of receiving a biologic prescription (Table 2). Compared with White patients with HS, Native Hawaiian (NH) or Pacific Islander (PI) patients were less likely to be prescribed a biologic (aOR, 0.23; 95% CI, 0.06–0.92; P = .04). Patients with obesity had significantly higher odds of receiving a biologic prescription compared with patients without obesity (aOR, 1.47; 95% CI, 1.27– 1.71; P < .001).
Included in Analysis.
After adjusting for the variables listed in Table 1, there were no significant differences in biologic prescription rates for men compared with women (aOR, 0.97; 95% CI, 0.83-1.12; P = .68). We observed slight variations in biologic prescriptions between US regions (Midwest 5.0%, East 4.2%, South 5.8%, West 4.6%), none of which were significantly different in the fully adjusted model. No statistically significant differences were found in biologic prescriptions between urban and rural VA settings (5.4% vs 4.8%; aOR, 1.06; 95% CI, 0.90–1.24; P = .47). Tobacco use was not associated with the rate of biologic prescription receipt (aOR, 1.14; 95% CI, 0.97–1.34; P = .11). After adjusting for other variables (as outlined in Table 2), no significant differences were found between CCI of 0 and 1 (aOR, 0.97; 95% CI, 0.82–1.16; P = .77) or between CCI of 0 and 2 (aOR, 0.89; 95% CI, 0.74–1.07; P = .22).7


Discussion
The aim of the study was to ascertain potential discrepancies in biologic prescription patterns among patients with HS in the VHA by demographic and lifestyle behavior modifiers. Veteran cohorts are unique in composition, consisting predominantly of older White men within a single-payer health care system. The prevalence of biologic prescriptions in this population was low (5.2%), consistent with prior studies (1.8%–8.9%).4,5
We found a significant difference in ADA/IFX prescription patterns between White patients and NH/PI patients (aOR, 0.23; 95% CI, 0.06-0.92; P = .04). Further replication of this result is needed due to the small number of NH/PI patients included in the study (n = 241). Notably, we did not find a significant difference in the odds of Black patients being prescribed a biologic compared with White patients (aOR, 1.07; 95% CI, 0.92–1.25; P = .38), consistent with prior studies.4
In line with prior studies, age was associated with the likelihood of receiving a biologic prescription.4 Using the multivariate model adjusting for variables listed in Table 1, including CCI, patients aged 45 to 64 years and > 64 years were less likely to be prescribed a biologic than patients aged 18 to 44 years. HS disease activity could be a potential confounding variable, as HS severity may subside in some people with increasing age or menopause.8
Because different regions in the US have different sociopolitical ideologies and governing legislation, we hypothesized that there may be dissimilarities in the prevalence rates of biologic prescribing across various US regions. However, no significant differences were found in prescription patterns among US regions or between rural and urban settings. Previous research has demonstrated discernible disparities in both dermatologic care and clinical outcomes based on hospital setting (ie, urban vs rural).9-11
Tobacco use has been demonstrated to be associated with the development of HS.12 In a large retrospective analysis, Garg et al reported increased odds of receiving a new HS diagnosis in known tobacco users (aOR, 1.9; 95% CI, 1.8–2.0).13 The extent to which tobacco use affects HS severity is less understood. While some studies have found an association between smoking and HS severity, other analyses have failed to find this association.14,15 The effects of smoking cessation on the disease course of HS are unknown.16 This analysis, found no significant difference in prescriptions for biologics among patients with HS comparing current or previous tobacco users with nonusers.
There is a known positive correlation between increasing BMI and HS prevalence and severity that may be explained by the downstream effects of adipose tissue secretion of proinflammatory mediators and insulin resistance in the setting of chronic inflammation.12 This analysis found that patients with HS and obesity were 1.47 times more likely to be prescribed a biologic than patients with HS without obesity, which may be confounded by increased HS severity among patients with obesity. The initial concern when analyzing tobacco use and obesity was that clinician bias may result in a decrease in the prevalence of biologic use in these demographics, which was not supported in this study.
Although we identified few disparities, the results demonstrated a substantial underutilization of biologic therapies (5.2%), similar to the other US civilian studies (1.8-8.9%).4,5 While there is no current universal, standardized severity scoring system to evaluate HS (it is difficult to objectively define moderate to severe HS), estimates have shown that 40.3% to 65.8% of patients with HS have Hurley stage II or III.17-19 Therefore, only a small percentage of patients with moderate to severe disease were prescribed the only FDA-approved medication during this time period. The persistence of this underutilization within a medical system that reduces financial barriers suggests that nonfinancial barriers have a notable role in the underutilization of biologics.
For instance, risk of adverse events, particularly lymphoma and infection, has been cited by patients as a reason to avoid biologics. Additionally, treatment fatigue reduced some patients’ willingness to try new treatments, as did lack of knowledge about treatment options.6,20 Other reported barriers included the frequency of injections and fear of needles.6 Additionally, within the VA, ADA may require prior authorization at the local facility level.21 An established relationship with a dermatologist has been shown to significantly increase the odds of being prescribed a biologic medication in the face of these barriers.4 Future system-wide quality improvement initiatives could be implemented to identify patients with HS not followed by dermatology, with the goal of establishing care with a dermatologist.
Limitations
Limitations to this study include an inability to categorize HS disease severity and assess the degree to which disease severity confounded study findings, particularly in relation to tobacco use and obesity. The generalizability of this study is also limited because of the demographic characteristics of the veteran patient population, which is predominantly older, White, and male, whereas HS disproportionately affects younger, Black, and female individuals in the US.22 Despite these limitations, this study contributes valuable insights into the use of biologic therapies for veteran populations with HS using a national dataset.
Conclusions
This study was performed within a single-payer government medical system, likely reducing or removing the financial barriers that some patient populations may face when pursuing biologics for HS treatment. However, the prevalence of biologic use in this population was low overall (5.2%), suggesting that other factors play a role in the underutilization of biologics in HS. Consistent with previous studies, younger individuals were more likely to be prescribed a biologic, and no difference in prescription rates between Black and White patients was observed. Unlike previous studies, no significant difference in prescription rates between men and women was observed.
Hidradenitis suppurativa (HS) is a chronic, inflammatory skin disorder characterized by painful nodules, abscesses, and tunnels predominantly affecting intertriginous areas of the body.1,2 The condition poses significant challenges in terms of diagnosis, treatment, and quality of life for affected individuals. Various systemic therapies have been explored to manage this debilitating condition, with the emergence of biologic agents offering hope for improved outcomes. In 2015, adalimumab (ADA) was the first biologic approved by the US Food and Drug Administration (FDA) for the treatment of HS, followed by secukinumab in 2023 and bimekizumab in 2024. However, the off-label use of other biologics and/or tumor necrosis factor inhibitors such as infliximab (IFX) has become common practice.3
Although these therapies have demonstrated promising results in the treatment of HS, their widespread use may be hindered by accessibility and cost barriers. Orenstein et al analyzed data from the IBM Explorys platform from 2015 to 2020 and found that only 1.8% of patients diagnosed with HS had been prescribed ADA or IFX.4 More recently, Garg et al examined IBM MarketScan and IBM US Medicaid data from 2015 to 2018 to evaluate trends in clinical care and treatment. The prevalence of ADA and IFX prescriptions among patients with HS ranged from 2.3% to 8.0% (ADA) and 0.7% to 0.9% (IFX) for patients with commercial insurance, and 1.4% to 4.8% (ADA) and 0.5% to 0.7% (IFX) for patients with Medicaid.5 Biologics are often expensive, and the high cost associated with these therapies has been identified as a significant barrier to access for patients with HS, particularly those who lack adequate insurance coverage or face financial constraints.6
Furthermore, these barriers, particularly the financial barriers, are potentially compounded by the demographics of patients most notably affected by HS. In the US, a disproportionate incidence of HS has been noted in specific groups and age ranges, including women, individuals aged 18 to 29 years, and Black individuals.4 Orenstein et al found a statistically significant difference in use of ADA and IFX biologics based on age, sex, and race.4
The aim of this study was to examine the use of 2 biologics (ADA and IFX) in the Veterans Health Administration (VHA), a unique population in which financial barriers are reduced due to the single-payer government health care system structure. This design allowed for improved isolation and evaluation of variation in ADA and/or IFX prescription rates by demographics and health-related factors among patients with HS. To our knowledge, no studies have analyzed these metrics within the VHA.
Methods
This retrospective, cross-sectional analysis of VHA patients used data from the US Department of Veterans Affairs (VA) Corporate Data Warehouse, a data repository that provides access to longitudinal national electronic health record data for all veterans receiving care through VHA facilities. This study received ethical approval from institutional review boards at the Minneapolis Veterans Affairs Health Care System and VA Salt Lake City Healthcare System. Patient information was deidentified, and patient consent was not required.
Patients with HS were identified using ≥ 1 International Classification of Diseases (ICD) diagnostic code: (ICD-9 [705.83] or ICD-10 [L73.2]) between January 1, 2011, and December 31, 2021. The study included patients aged ≥ 18 years as of January 1, 2011, with ≥ 2 patient encounters during the postdiagnosis follow-up period, and with ≥ 1 encounter 6 months postindex. Patients with a biologic prescription prior to HS diagnosis were excluded. For this study, the term biologics refers to ADA and/or IFX prescriptions, unless otherwise specified. Only ADA and IFX were included in this analysis because ADA, a tumor necrosis factor (TNF)-á inhibitor, was the only FDA-approved medication at the time of the search, and IFX is another common TNF-α inhibitor used for the treatment of HS.
Statistical Analysis
We calculated logistic regression using SAS 9.4 (SAS Institute, Cary, NC). For each variable, the univariate relationship with biologic prescriptions was examined first, followed by the multivariate relationship controlling for all other variables. The following variables were controlled for in the multivariate models and were chosen a priori: sex, age, race, ethnicity, US region, hospital setting, current or previous tobacco use, obesity (defined as body mass index [BMI] ≥ 30), and Charlson Comorbidity Index (CCI).7
Results
Using ICD codes, we identified 29,483 individuals with ≥ 1 HS diagnosis (Figure 1). Of those identified, 1537 patients (5.21%) had been prescribed ≥ 1 biologic. The cohort was predominantly White (60.56%), male (75.27%), obese (59.34%), and had a history of current or previous tobacco use (73.47%) (Table 1). There were significant adjusted differences in prescription rates among veterans with HS based on age, race, and BMI. Notably, there was an age-dependent reduction in the odds of being prescribed a biologic in patients with HS. Compared with patients aged 18 to 44 years, patients aged 45 to 64 years (adjusted odds ratio [aOR], 0.63; 95% CI, 0.54–0.74; P < .001) and patients aged ≥ 65 years (aOR, 0.36; 95% CI, 0.27–0.48; P < .001) had significantly lower odds of receiving a biologic prescription (Table 2). Compared with White patients with HS, Native Hawaiian (NH) or Pacific Islander (PI) patients were less likely to be prescribed a biologic (aOR, 0.23; 95% CI, 0.06–0.92; P = .04). Patients with obesity had significantly higher odds of receiving a biologic prescription compared with patients without obesity (aOR, 1.47; 95% CI, 1.27– 1.71; P < .001).
Included in Analysis.
After adjusting for the variables listed in Table 1, there were no significant differences in biologic prescription rates for men compared with women (aOR, 0.97; 95% CI, 0.83-1.12; P = .68). We observed slight variations in biologic prescriptions between US regions (Midwest 5.0%, East 4.2%, South 5.8%, West 4.6%), none of which were significantly different in the fully adjusted model. No statistically significant differences were found in biologic prescriptions between urban and rural VA settings (5.4% vs 4.8%; aOR, 1.06; 95% CI, 0.90–1.24; P = .47). Tobacco use was not associated with the rate of biologic prescription receipt (aOR, 1.14; 95% CI, 0.97–1.34; P = .11). After adjusting for other variables (as outlined in Table 2), no significant differences were found between CCI of 0 and 1 (aOR, 0.97; 95% CI, 0.82–1.16; P = .77) or between CCI of 0 and 2 (aOR, 0.89; 95% CI, 0.74–1.07; P = .22).7


Discussion
The aim of the study was to ascertain potential discrepancies in biologic prescription patterns among patients with HS in the VHA by demographic and lifestyle behavior modifiers. Veteran cohorts are unique in composition, consisting predominantly of older White men within a single-payer health care system. The prevalence of biologic prescriptions in this population was low (5.2%), consistent with prior studies (1.8%–8.9%).4,5
We found a significant difference in ADA/IFX prescription patterns between White patients and NH/PI patients (aOR, 0.23; 95% CI, 0.06-0.92; P = .04). Further replication of this result is needed due to the small number of NH/PI patients included in the study (n = 241). Notably, we did not find a significant difference in the odds of Black patients being prescribed a biologic compared with White patients (aOR, 1.07; 95% CI, 0.92–1.25; P = .38), consistent with prior studies.4
In line with prior studies, age was associated with the likelihood of receiving a biologic prescription.4 Using the multivariate model adjusting for variables listed in Table 1, including CCI, patients aged 45 to 64 years and > 64 years were less likely to be prescribed a biologic than patients aged 18 to 44 years. HS disease activity could be a potential confounding variable, as HS severity may subside in some people with increasing age or menopause.8
Because different regions in the US have different sociopolitical ideologies and governing legislation, we hypothesized that there may be dissimilarities in the prevalence rates of biologic prescribing across various US regions. However, no significant differences were found in prescription patterns among US regions or between rural and urban settings. Previous research has demonstrated discernible disparities in both dermatologic care and clinical outcomes based on hospital setting (ie, urban vs rural).9-11
Tobacco use has been demonstrated to be associated with the development of HS.12 In a large retrospective analysis, Garg et al reported increased odds of receiving a new HS diagnosis in known tobacco users (aOR, 1.9; 95% CI, 1.8–2.0).13 The extent to which tobacco use affects HS severity is less understood. While some studies have found an association between smoking and HS severity, other analyses have failed to find this association.14,15 The effects of smoking cessation on the disease course of HS are unknown.16 This analysis, found no significant difference in prescriptions for biologics among patients with HS comparing current or previous tobacco users with nonusers.
There is a known positive correlation between increasing BMI and HS prevalence and severity that may be explained by the downstream effects of adipose tissue secretion of proinflammatory mediators and insulin resistance in the setting of chronic inflammation.12 This analysis found that patients with HS and obesity were 1.47 times more likely to be prescribed a biologic than patients with HS without obesity, which may be confounded by increased HS severity among patients with obesity. The initial concern when analyzing tobacco use and obesity was that clinician bias may result in a decrease in the prevalence of biologic use in these demographics, which was not supported in this study.
Although we identified few disparities, the results demonstrated a substantial underutilization of biologic therapies (5.2%), similar to the other US civilian studies (1.8-8.9%).4,5 While there is no current universal, standardized severity scoring system to evaluate HS (it is difficult to objectively define moderate to severe HS), estimates have shown that 40.3% to 65.8% of patients with HS have Hurley stage II or III.17-19 Therefore, only a small percentage of patients with moderate to severe disease were prescribed the only FDA-approved medication during this time period. The persistence of this underutilization within a medical system that reduces financial barriers suggests that nonfinancial barriers have a notable role in the underutilization of biologics.
For instance, risk of adverse events, particularly lymphoma and infection, has been cited by patients as a reason to avoid biologics. Additionally, treatment fatigue reduced some patients’ willingness to try new treatments, as did lack of knowledge about treatment options.6,20 Other reported barriers included the frequency of injections and fear of needles.6 Additionally, within the VA, ADA may require prior authorization at the local facility level.21 An established relationship with a dermatologist has been shown to significantly increase the odds of being prescribed a biologic medication in the face of these barriers.4 Future system-wide quality improvement initiatives could be implemented to identify patients with HS not followed by dermatology, with the goal of establishing care with a dermatologist.
Limitations
Limitations to this study include an inability to categorize HS disease severity and assess the degree to which disease severity confounded study findings, particularly in relation to tobacco use and obesity. The generalizability of this study is also limited because of the demographic characteristics of the veteran patient population, which is predominantly older, White, and male, whereas HS disproportionately affects younger, Black, and female individuals in the US.22 Despite these limitations, this study contributes valuable insights into the use of biologic therapies for veteran populations with HS using a national dataset.
Conclusions
This study was performed within a single-payer government medical system, likely reducing or removing the financial barriers that some patient populations may face when pursuing biologics for HS treatment. However, the prevalence of biologic use in this population was low overall (5.2%), suggesting that other factors play a role in the underutilization of biologics in HS. Consistent with previous studies, younger individuals were more likely to be prescribed a biologic, and no difference in prescription rates between Black and White patients was observed. Unlike previous studies, no significant difference in prescription rates between men and women was observed.
- Goldburg SR, Strober BE, Payette MJ. Hidradenitis suppurativa: epidemiology, clinical presentation, and pathogenesis. J Am Acad Dermatol. 2020;82:1045-1058. doi:10.1016/j.jaad.2019.08.090
- Tchero H, Herlin C, Bekara F, et al. Hidradenitis suppurativa: a systematic review and meta-analysis of therapeutic interventions. Indian J Dermatol Venereol Leprol. 2019;85:248-257. doi:10.4103/ijdvl.IJDVL_69_18
- Shih T, Lee K, Grogan T, et al. Infliximab in hidradenitis suppurativa: a systematic review and meta-analysis. Dermatol Ther. 2022;35:e15691. doi:10.1111/dth.15691
- Orenstein LAV, Wright S, Strunk A, et al. Low prescription of tumor necrosis alpha inhibitors in hidradenitis suppurativa: a cross-sectional analysis. J Am Acad Dermatol. 2021;84:1399-1401. doi:10.1016/j.jaad.2020.07.108
- Garg A, Naik HB, Alavi A, et al. Real-world findings on the characteristics and treatment exposures of patients with hidradenitis suppurativa from US claims data. Dermatol Ther (Heidelb). 2023;13:581-594. doi:10.1007/s13555-022-00872-1
- De DR, Shih T, Fixsen D, et al. Biologic use in hidradenitis suppurativa: patient perspectives and barriers. J Dermatolog Treat. 2022;33:3060-3062. doi:10.1080/09546634.2022.2089336
- Charlson ME, Pompei P, Ales KL, et al. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40:373- 383. doi:10.1016/0021-9681(87)90171-8
- von der Werth JM, Williams HC. The natural history of hidradenitis suppurativa. J Eur Acad Dermatol Venereol. 2000;14:389-392. doi:10.1046/j.1468-3083.2000.00087.x
- Silverberg JI, Barbarot S, Gadkari A, et al. Atopic dermatitis in the pediatric population: a cross-sectional, international epidemiologic study. Ann Allergy Asthma Immunol. 2021;126:417-428.e2. doi:10.1016/j.anai.2020.12.020
- Wu YP, Parsons B, Jo Y, et al. Outdoor activities and sunburn among urban and rural families in a Western region of the US: implications for skin cancer prevention. Prev Med Rep. 2022;29:101914. doi:10.1016/j.pmedr.2022.101914
- Mannschreck DB, Li X, Okoye G. Rural melanoma patients in Maryland do not present with more advanced disease than urban patients. Dermatol Online J. 2021;27. doi:10.5070/D327553607
- Garg A, Malviya N, Strunk A, et al. Comorbidity screening in hidradenitis suppurativa: evidence-based recommendations from the US and Canadian Hidradenitis Suppurativa Foundations. J Am Acad Dermatol. 2022;86:1092-1101. doi:10.1016/j.jaad.2021.01.059
- Garg A, Papagermanos V, Midura M, et al. Incidence of hidradenitis suppurativa among tobacco smokers: a population- based retrospective analysis in the U.S.A. Br J Dermatol. 2018;178:709-714. doi:10.1111/bjd.15939
- Sartorius K, Emtestam L, Jemec GBE, et al. Objective scoring of hidradenitis suppurativa reflecting the role of tobacco smoking and obesity. Br J Dermatol. 2009;161:831- 839. doi:10.1111/j.1365-2133.2009.09198.x
- Canoui-Poitrine F, Revuz JE, Wolkenstein P, et al. Clinical characteristics of a series of 302 French patients with hidradenitis suppurativa, with an analysis of factors associated with disease severity. J Am Acad Dermatol. 2009;61:51-57. doi:10.1016/j.jaad.2009.02.013
- Dufour DN, Emtestam L, Jemec GB. Hidradenitis suppurativa: a common and burdensome, yet under-recognised, inflammatory skin disease. Postgrad Med J. 2014;90:216- 221. doi:10.1136/postgradmedj-2013-131994
- Vazquez BG, Alikhan A, Weaver AL, et al. Incidence of hidradenitis suppurativa and associated factors: a population- based study of Olmsted County, Minnesota. J Invest Dermatol. 2013;133:97-103. doi:10.1038/jid.2012.255
- Vanlaerhoven AMJD, Ardon CB, van Straalen KR, et al. Hurley III hidradenitis suppurativa has an aggressive disease course. Dermatology. 2018;234:232-233. doi:10.1159/000491547
- Shahi V, Alikhan A, Vazquez BG, et al. Prevalence of hidradenitis suppurativa: a population-based study in Olmsted County, Minnesota. Dermatology. 2014;229:154-158. doi:10.1159/000363381
- Salame N, Sow YN, Siira MR, et al. Factors affecting treatment selection among patients with hidradenitis suppurativa. JAMA Dermatol. 2024;160:179. doi:10.1001/jamadermatol.2023.5425
- VA Formulary Advisor: ADALIMUMAB-BWWD INJ,SOLN. US Department of Veterans Affairs. Updated December 17, 2025. Accessed January 15, 2026. https://www.va.gov/formularyadvisor/drugs/4042383-ADALIMUMAB-BWWD-INJ-SOLN
- Garg A, Lavian J, Lin G, et al. Incidence of hidradenitis suppurativa in the United States: a sex- and age-adjusted population analysis. J Am Acad Dermatol. 2017;77:118- 122. doi:10.1016/j.jaad.2017.02.005
- Goldburg SR, Strober BE, Payette MJ. Hidradenitis suppurativa: epidemiology, clinical presentation, and pathogenesis. J Am Acad Dermatol. 2020;82:1045-1058. doi:10.1016/j.jaad.2019.08.090
- Tchero H, Herlin C, Bekara F, et al. Hidradenitis suppurativa: a systematic review and meta-analysis of therapeutic interventions. Indian J Dermatol Venereol Leprol. 2019;85:248-257. doi:10.4103/ijdvl.IJDVL_69_18
- Shih T, Lee K, Grogan T, et al. Infliximab in hidradenitis suppurativa: a systematic review and meta-analysis. Dermatol Ther. 2022;35:e15691. doi:10.1111/dth.15691
- Orenstein LAV, Wright S, Strunk A, et al. Low prescription of tumor necrosis alpha inhibitors in hidradenitis suppurativa: a cross-sectional analysis. J Am Acad Dermatol. 2021;84:1399-1401. doi:10.1016/j.jaad.2020.07.108
- Garg A, Naik HB, Alavi A, et al. Real-world findings on the characteristics and treatment exposures of patients with hidradenitis suppurativa from US claims data. Dermatol Ther (Heidelb). 2023;13:581-594. doi:10.1007/s13555-022-00872-1
- De DR, Shih T, Fixsen D, et al. Biologic use in hidradenitis suppurativa: patient perspectives and barriers. J Dermatolog Treat. 2022;33:3060-3062. doi:10.1080/09546634.2022.2089336
- Charlson ME, Pompei P, Ales KL, et al. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40:373- 383. doi:10.1016/0021-9681(87)90171-8
- von der Werth JM, Williams HC. The natural history of hidradenitis suppurativa. J Eur Acad Dermatol Venereol. 2000;14:389-392. doi:10.1046/j.1468-3083.2000.00087.x
- Silverberg JI, Barbarot S, Gadkari A, et al. Atopic dermatitis in the pediatric population: a cross-sectional, international epidemiologic study. Ann Allergy Asthma Immunol. 2021;126:417-428.e2. doi:10.1016/j.anai.2020.12.020
- Wu YP, Parsons B, Jo Y, et al. Outdoor activities and sunburn among urban and rural families in a Western region of the US: implications for skin cancer prevention. Prev Med Rep. 2022;29:101914. doi:10.1016/j.pmedr.2022.101914
- Mannschreck DB, Li X, Okoye G. Rural melanoma patients in Maryland do not present with more advanced disease than urban patients. Dermatol Online J. 2021;27. doi:10.5070/D327553607
- Garg A, Malviya N, Strunk A, et al. Comorbidity screening in hidradenitis suppurativa: evidence-based recommendations from the US and Canadian Hidradenitis Suppurativa Foundations. J Am Acad Dermatol. 2022;86:1092-1101. doi:10.1016/j.jaad.2021.01.059
- Garg A, Papagermanos V, Midura M, et al. Incidence of hidradenitis suppurativa among tobacco smokers: a population- based retrospective analysis in the U.S.A. Br J Dermatol. 2018;178:709-714. doi:10.1111/bjd.15939
- Sartorius K, Emtestam L, Jemec GBE, et al. Objective scoring of hidradenitis suppurativa reflecting the role of tobacco smoking and obesity. Br J Dermatol. 2009;161:831- 839. doi:10.1111/j.1365-2133.2009.09198.x
- Canoui-Poitrine F, Revuz JE, Wolkenstein P, et al. Clinical characteristics of a series of 302 French patients with hidradenitis suppurativa, with an analysis of factors associated with disease severity. J Am Acad Dermatol. 2009;61:51-57. doi:10.1016/j.jaad.2009.02.013
- Dufour DN, Emtestam L, Jemec GB. Hidradenitis suppurativa: a common and burdensome, yet under-recognised, inflammatory skin disease. Postgrad Med J. 2014;90:216- 221. doi:10.1136/postgradmedj-2013-131994
- Vazquez BG, Alikhan A, Weaver AL, et al. Incidence of hidradenitis suppurativa and associated factors: a population- based study of Olmsted County, Minnesota. J Invest Dermatol. 2013;133:97-103. doi:10.1038/jid.2012.255
- Vanlaerhoven AMJD, Ardon CB, van Straalen KR, et al. Hurley III hidradenitis suppurativa has an aggressive disease course. Dermatology. 2018;234:232-233. doi:10.1159/000491547
- Shahi V, Alikhan A, Vazquez BG, et al. Prevalence of hidradenitis suppurativa: a population-based study in Olmsted County, Minnesota. Dermatology. 2014;229:154-158. doi:10.1159/000363381
- Salame N, Sow YN, Siira MR, et al. Factors affecting treatment selection among patients with hidradenitis suppurativa. JAMA Dermatol. 2024;160:179. doi:10.1001/jamadermatol.2023.5425
- VA Formulary Advisor: ADALIMUMAB-BWWD INJ,SOLN. US Department of Veterans Affairs. Updated December 17, 2025. Accessed January 15, 2026. https://www.va.gov/formularyadvisor/drugs/4042383-ADALIMUMAB-BWWD-INJ-SOLN
- Garg A, Lavian J, Lin G, et al. Incidence of hidradenitis suppurativa in the United States: a sex- and age-adjusted population analysis. J Am Acad Dermatol. 2017;77:118- 122. doi:10.1016/j.jaad.2017.02.005
Cross-Sectional Analysis of Biologic Use in the Treatment of Veterans With Hidradenitis Suppurativa
Cross-Sectional Analysis of Biologic Use in the Treatment of Veterans With Hidradenitis Suppurativa
AI Tool Helps Patients Assess Bowel Preparation for Colonoscopy
AI Tool Helps Patients Assess Bowel Preparation for Colonoscopy
TOPLINE:
An artificial intelligence (AI) model, developed using stool images, accurately assessed whether a patient’s bowel preparation was sufficient for colonoscopy. The best version of the model achieved an area under the receiver operating characteristic curve (AUC) of 0.95, accuracy of 0.90, sensitivity of 0.93, and specificity of 0.86.
METHODOLOGY:
- Patients often need help during bowel preparation for colonoscopy, which increases staff workload; up to 20%-25% of colonoscopies are reported to be inadequately prepared. Researchers developed and tested an AI tool (AI-PREPOO) using stool images to assess whether patients were ready for colonoscopy.
- They conducted a multicenter observational study in Japan between 2022 and 2023 that included 37 patients scheduled for colonoscopy (median age, 57 years; 45.9% women).
- After starting consumption of a 2-liter polyethylene glycol solution, patients used smartphones to take photos of their stool in the toilet after each bowel movement and uploaded the images to a secure web server.
- The images were divided into training and test sets. Images were classified as “ready” for colonoscopy when the stool was clear or light yellow and watery with no solid content.
- Four image-recognition models based on different deep learning architectures were developed using transfer learning to classify readiness for colonoscopy.
TAKEAWAY:
- Researchers collected 282 stool images, with 141 classified as ready and 141 as not ready. Of these, 224 images were used for training (the number augmented to 2240 images) and 58 for testing.
- All four AI-PREPOO models showed high performance, with AUCs ranging from 0.92 to 0.95; pairwise differences in AUCs were not significant.
- The AI-PREPOO 1 model, based on the MobileNetV3-Small architecture, showed the most balanced performance, with an AUC of 0.95, accuracy of 0.90, sensitivity of 0.93, and specificity of 0.86 on the test set.
- During colonoscopy, all patients had a Boston Bowel Preparation Scale score of 6 or higher, indicating that “ready” images corresponded to an adequately prepared bowel.
IN PRACTICE:
“If implemented as a mobile application, our model would allow patients to quickly and independently assess bowel preparation adequacy, reducing reliance on nurses and alleviating embarrassment associated with sharing stool images. This approach could also lessen nurses’ workload by minimizing unnecessary inquiries and preventing excessive or insufficient bowel preparation due to uncertainty,” the authors wrote.
SOURCE:
This study was led by Kosuke Kojima, Graduate School of Medical and Dental Sciences, Niigata University in Niigata, Japan. It was published online in the Journal of Gastroenterology and Hepatology.
LIMITATIONS:
The small dataset limited generalizability and increased the risk for overfitting. In real-world practice, stool images might vary in lighting, angle, focus, zoom, and background; thus, a larger and more diverse dataset was needed. The model lacked external validation in an independent or prospective cohort.
DISCLOSURES:
This study received support from the Japanese Foundation for Research and Promotion of Endoscopy. The authors reported having no conflicts of interest.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.
A version of this article first appeared on Medscape.com.
TOPLINE:
An artificial intelligence (AI) model, developed using stool images, accurately assessed whether a patient’s bowel preparation was sufficient for colonoscopy. The best version of the model achieved an area under the receiver operating characteristic curve (AUC) of 0.95, accuracy of 0.90, sensitivity of 0.93, and specificity of 0.86.
METHODOLOGY:
- Patients often need help during bowel preparation for colonoscopy, which increases staff workload; up to 20%-25% of colonoscopies are reported to be inadequately prepared. Researchers developed and tested an AI tool (AI-PREPOO) using stool images to assess whether patients were ready for colonoscopy.
- They conducted a multicenter observational study in Japan between 2022 and 2023 that included 37 patients scheduled for colonoscopy (median age, 57 years; 45.9% women).
- After starting consumption of a 2-liter polyethylene glycol solution, patients used smartphones to take photos of their stool in the toilet after each bowel movement and uploaded the images to a secure web server.
- The images were divided into training and test sets. Images were classified as “ready” for colonoscopy when the stool was clear or light yellow and watery with no solid content.
- Four image-recognition models based on different deep learning architectures were developed using transfer learning to classify readiness for colonoscopy.
TAKEAWAY:
- Researchers collected 282 stool images, with 141 classified as ready and 141 as not ready. Of these, 224 images were used for training (the number augmented to 2240 images) and 58 for testing.
- All four AI-PREPOO models showed high performance, with AUCs ranging from 0.92 to 0.95; pairwise differences in AUCs were not significant.
- The AI-PREPOO 1 model, based on the MobileNetV3-Small architecture, showed the most balanced performance, with an AUC of 0.95, accuracy of 0.90, sensitivity of 0.93, and specificity of 0.86 on the test set.
- During colonoscopy, all patients had a Boston Bowel Preparation Scale score of 6 or higher, indicating that “ready” images corresponded to an adequately prepared bowel.
IN PRACTICE:
“If implemented as a mobile application, our model would allow patients to quickly and independently assess bowel preparation adequacy, reducing reliance on nurses and alleviating embarrassment associated with sharing stool images. This approach could also lessen nurses’ workload by minimizing unnecessary inquiries and preventing excessive or insufficient bowel preparation due to uncertainty,” the authors wrote.
SOURCE:
This study was led by Kosuke Kojima, Graduate School of Medical and Dental Sciences, Niigata University in Niigata, Japan. It was published online in the Journal of Gastroenterology and Hepatology.
LIMITATIONS:
The small dataset limited generalizability and increased the risk for overfitting. In real-world practice, stool images might vary in lighting, angle, focus, zoom, and background; thus, a larger and more diverse dataset was needed. The model lacked external validation in an independent or prospective cohort.
DISCLOSURES:
This study received support from the Japanese Foundation for Research and Promotion of Endoscopy. The authors reported having no conflicts of interest.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.
A version of this article first appeared on Medscape.com.
TOPLINE:
An artificial intelligence (AI) model, developed using stool images, accurately assessed whether a patient’s bowel preparation was sufficient for colonoscopy. The best version of the model achieved an area under the receiver operating characteristic curve (AUC) of 0.95, accuracy of 0.90, sensitivity of 0.93, and specificity of 0.86.
METHODOLOGY:
- Patients often need help during bowel preparation for colonoscopy, which increases staff workload; up to 20%-25% of colonoscopies are reported to be inadequately prepared. Researchers developed and tested an AI tool (AI-PREPOO) using stool images to assess whether patients were ready for colonoscopy.
- They conducted a multicenter observational study in Japan between 2022 and 2023 that included 37 patients scheduled for colonoscopy (median age, 57 years; 45.9% women).
- After starting consumption of a 2-liter polyethylene glycol solution, patients used smartphones to take photos of their stool in the toilet after each bowel movement and uploaded the images to a secure web server.
- The images were divided into training and test sets. Images were classified as “ready” for colonoscopy when the stool was clear or light yellow and watery with no solid content.
- Four image-recognition models based on different deep learning architectures were developed using transfer learning to classify readiness for colonoscopy.
TAKEAWAY:
- Researchers collected 282 stool images, with 141 classified as ready and 141 as not ready. Of these, 224 images were used for training (the number augmented to 2240 images) and 58 for testing.
- All four AI-PREPOO models showed high performance, with AUCs ranging from 0.92 to 0.95; pairwise differences in AUCs were not significant.
- The AI-PREPOO 1 model, based on the MobileNetV3-Small architecture, showed the most balanced performance, with an AUC of 0.95, accuracy of 0.90, sensitivity of 0.93, and specificity of 0.86 on the test set.
- During colonoscopy, all patients had a Boston Bowel Preparation Scale score of 6 or higher, indicating that “ready” images corresponded to an adequately prepared bowel.
IN PRACTICE:
“If implemented as a mobile application, our model would allow patients to quickly and independently assess bowel preparation adequacy, reducing reliance on nurses and alleviating embarrassment associated with sharing stool images. This approach could also lessen nurses’ workload by minimizing unnecessary inquiries and preventing excessive or insufficient bowel preparation due to uncertainty,” the authors wrote.
SOURCE:
This study was led by Kosuke Kojima, Graduate School of Medical and Dental Sciences, Niigata University in Niigata, Japan. It was published online in the Journal of Gastroenterology and Hepatology.
LIMITATIONS:
The small dataset limited generalizability and increased the risk for overfitting. In real-world practice, stool images might vary in lighting, angle, focus, zoom, and background; thus, a larger and more diverse dataset was needed. The model lacked external validation in an independent or prospective cohort.
DISCLOSURES:
This study received support from the Japanese Foundation for Research and Promotion of Endoscopy. The authors reported having no conflicts of interest.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.
A version of this article first appeared on Medscape.com.
AI Tool Helps Patients Assess Bowel Preparation for Colonoscopy
AI Tool Helps Patients Assess Bowel Preparation for Colonoscopy
Military-Backed French Biotech Brings Ricin Antidote
Military-Backed French Biotech Brings Ricin Antidote
France has authorized Ricimed, the first antibody-based treatment specifically indicated for acute ricin intoxication, providing clinicians with a targeted option beyond supportive care for exposure to one of the most lethal naturally occurring toxins.
Fabentech is a French biopharmaceutical company specializing in medical countermeasures against biological threats and infectious diseases.
The polyclonal antibody technology used in the development of Ricimed has received marketing authorization in France as a treatment for ricin poisoning. Ricin is a highly toxic natural substance that can cause death within hours to a few days of exposure.
Supported by the Ministry of Armed Forces and Veterans Affairs (Directorate General of Armaments [DGA] and Armed Forces Health Service) in France, Ricimed is the first approved antidote for ricin poisoning, a condition for which treatment was previously limited to supportive measures alone.
Historical Incident
One incident, in particular, remains etched in espionage history. On September 7, 1978 in London during the Cold War, Bulgarian dissident writer Georgi Markov, living in exile, was struck by the umbrella of a passer-by while waiting at a bus stop. He felt a slight sting. Four days later, he died in the hospital due to a sudden and unexplained illness. An autopsy revealed that he had been poisoned by a tiny metal pellet implanted at the tip of an umbrella containing ricin, a lethal toxin. The legend of the “Bulgarian umbrella,” later invoked in other assassination attempts, was born.
Since then, although Markov remains the only known individual to have been killed by ricin poisoning, this theoretically extremely toxic substance, which can be manufactured relatively easily from castor beans, a widely available plant, has continued to fascinate authors of thrillers and spy novels.
Numerous works of fiction depict characters who succumb to ricin poisoning. The toxin is notably portrayed as a favored weapon of the main character in the hit television series Breaking Bad.
However, ricin is not confined to the realm of science fiction. For several years, authorities in various countries have feared that extremist groups could carry out attacks using ricin. The threat has been taken particularly seriously since 2018, when a clandestine ricin laboratory operated by members of the Islamic State was dismantled in Germany. Since then, several similar attack plots have been thwarted.
This context triggered a race among major powers to develop an effective antidote as quickly as possible. In this effort, Fabentech has risen to a challenge.
“Having demonstrated its ability to target and then neutralize ricin before it causes irreparable damage, Ricimed is a treatment that works based on polyclonal antibodies and compensates for the absence of a vaccine or specific treatment,” Fabentech said in a press release.
The polyclonal antibody technology used by Fabentech offers potential for the development of antidotes against bioterrorist attacks and for the treatment of many infectious diseases.
Ricimed contributed to the deployment of a European health shield against intentional biological threats in France.
Military Backing
Speaking to Le Figaro, France’s oldest national newspaper, Fabentech CEO Sébastien Iva explained that ricin disrupts the body by halting cell function, while noting several other drug candidates in development at the firm.
Typically, the lungs sustain fatal damage. Our treatment interrupts this toxic process. In animals administered the antidote, we observed pulmonary function recovery, allowing survival.
Given that the possibility of terrorist attacks using ricin is considered a national security issue, Fabentech benefited from the support by the Ministry of the Armed Forces and the DGA and lasted nearly a decade of research and development work.
The granting of marketing authorisation was also supported by the French Armed Forces and welcomed by the French Minister of the Armed Forces, Catherine Vautrin, who previously served as France’s Minister of Labour, Health, and Solidarity.
“Supporting the development of companies in France capable of manufacturing antidotes against certain biological agents helps guarantee the operational superiority of our armed forces. Developing and producing such drugs when they do not yet exist on the market is also serving the nation and the public interest,” she said.
Although the threat posed by ricin remains hypothetical, Fabentech reports a strong interest from potential clients, with many countries seeking protection against possible bioterrorist attacks.
The DGA had already placed an order for several doses of Ricimed for deployment in France. For optimal effectiveness, the antidote must be administered within 6 hours of poisoning. Iva confirmed that multiple countries had already expressed interest in acquiring the antidote.
This story was translated from JIM, part of the Medscape Professional Network.
A version of this article first appeared on Medscape.com.
France has authorized Ricimed, the first antibody-based treatment specifically indicated for acute ricin intoxication, providing clinicians with a targeted option beyond supportive care for exposure to one of the most lethal naturally occurring toxins.
Fabentech is a French biopharmaceutical company specializing in medical countermeasures against biological threats and infectious diseases.
The polyclonal antibody technology used in the development of Ricimed has received marketing authorization in France as a treatment for ricin poisoning. Ricin is a highly toxic natural substance that can cause death within hours to a few days of exposure.
Supported by the Ministry of Armed Forces and Veterans Affairs (Directorate General of Armaments [DGA] and Armed Forces Health Service) in France, Ricimed is the first approved antidote for ricin poisoning, a condition for which treatment was previously limited to supportive measures alone.
Historical Incident
One incident, in particular, remains etched in espionage history. On September 7, 1978 in London during the Cold War, Bulgarian dissident writer Georgi Markov, living in exile, was struck by the umbrella of a passer-by while waiting at a bus stop. He felt a slight sting. Four days later, he died in the hospital due to a sudden and unexplained illness. An autopsy revealed that he had been poisoned by a tiny metal pellet implanted at the tip of an umbrella containing ricin, a lethal toxin. The legend of the “Bulgarian umbrella,” later invoked in other assassination attempts, was born.
Since then, although Markov remains the only known individual to have been killed by ricin poisoning, this theoretically extremely toxic substance, which can be manufactured relatively easily from castor beans, a widely available plant, has continued to fascinate authors of thrillers and spy novels.
Numerous works of fiction depict characters who succumb to ricin poisoning. The toxin is notably portrayed as a favored weapon of the main character in the hit television series Breaking Bad.
However, ricin is not confined to the realm of science fiction. For several years, authorities in various countries have feared that extremist groups could carry out attacks using ricin. The threat has been taken particularly seriously since 2018, when a clandestine ricin laboratory operated by members of the Islamic State was dismantled in Germany. Since then, several similar attack plots have been thwarted.
This context triggered a race among major powers to develop an effective antidote as quickly as possible. In this effort, Fabentech has risen to a challenge.
“Having demonstrated its ability to target and then neutralize ricin before it causes irreparable damage, Ricimed is a treatment that works based on polyclonal antibodies and compensates for the absence of a vaccine or specific treatment,” Fabentech said in a press release.
The polyclonal antibody technology used by Fabentech offers potential for the development of antidotes against bioterrorist attacks and for the treatment of many infectious diseases.
Ricimed contributed to the deployment of a European health shield against intentional biological threats in France.
Military Backing
Speaking to Le Figaro, France’s oldest national newspaper, Fabentech CEO Sébastien Iva explained that ricin disrupts the body by halting cell function, while noting several other drug candidates in development at the firm.
Typically, the lungs sustain fatal damage. Our treatment interrupts this toxic process. In animals administered the antidote, we observed pulmonary function recovery, allowing survival.
Given that the possibility of terrorist attacks using ricin is considered a national security issue, Fabentech benefited from the support by the Ministry of the Armed Forces and the DGA and lasted nearly a decade of research and development work.
The granting of marketing authorisation was also supported by the French Armed Forces and welcomed by the French Minister of the Armed Forces, Catherine Vautrin, who previously served as France’s Minister of Labour, Health, and Solidarity.
“Supporting the development of companies in France capable of manufacturing antidotes against certain biological agents helps guarantee the operational superiority of our armed forces. Developing and producing such drugs when they do not yet exist on the market is also serving the nation and the public interest,” she said.
Although the threat posed by ricin remains hypothetical, Fabentech reports a strong interest from potential clients, with many countries seeking protection against possible bioterrorist attacks.
The DGA had already placed an order for several doses of Ricimed for deployment in France. For optimal effectiveness, the antidote must be administered within 6 hours of poisoning. Iva confirmed that multiple countries had already expressed interest in acquiring the antidote.
This story was translated from JIM, part of the Medscape Professional Network.
A version of this article first appeared on Medscape.com.
France has authorized Ricimed, the first antibody-based treatment specifically indicated for acute ricin intoxication, providing clinicians with a targeted option beyond supportive care for exposure to one of the most lethal naturally occurring toxins.
Fabentech is a French biopharmaceutical company specializing in medical countermeasures against biological threats and infectious diseases.
The polyclonal antibody technology used in the development of Ricimed has received marketing authorization in France as a treatment for ricin poisoning. Ricin is a highly toxic natural substance that can cause death within hours to a few days of exposure.
Supported by the Ministry of Armed Forces and Veterans Affairs (Directorate General of Armaments [DGA] and Armed Forces Health Service) in France, Ricimed is the first approved antidote for ricin poisoning, a condition for which treatment was previously limited to supportive measures alone.
Historical Incident
One incident, in particular, remains etched in espionage history. On September 7, 1978 in London during the Cold War, Bulgarian dissident writer Georgi Markov, living in exile, was struck by the umbrella of a passer-by while waiting at a bus stop. He felt a slight sting. Four days later, he died in the hospital due to a sudden and unexplained illness. An autopsy revealed that he had been poisoned by a tiny metal pellet implanted at the tip of an umbrella containing ricin, a lethal toxin. The legend of the “Bulgarian umbrella,” later invoked in other assassination attempts, was born.
Since then, although Markov remains the only known individual to have been killed by ricin poisoning, this theoretically extremely toxic substance, which can be manufactured relatively easily from castor beans, a widely available plant, has continued to fascinate authors of thrillers and spy novels.
Numerous works of fiction depict characters who succumb to ricin poisoning. The toxin is notably portrayed as a favored weapon of the main character in the hit television series Breaking Bad.
However, ricin is not confined to the realm of science fiction. For several years, authorities in various countries have feared that extremist groups could carry out attacks using ricin. The threat has been taken particularly seriously since 2018, when a clandestine ricin laboratory operated by members of the Islamic State was dismantled in Germany. Since then, several similar attack plots have been thwarted.
This context triggered a race among major powers to develop an effective antidote as quickly as possible. In this effort, Fabentech has risen to a challenge.
“Having demonstrated its ability to target and then neutralize ricin before it causes irreparable damage, Ricimed is a treatment that works based on polyclonal antibodies and compensates for the absence of a vaccine or specific treatment,” Fabentech said in a press release.
The polyclonal antibody technology used by Fabentech offers potential for the development of antidotes against bioterrorist attacks and for the treatment of many infectious diseases.
Ricimed contributed to the deployment of a European health shield against intentional biological threats in France.
Military Backing
Speaking to Le Figaro, France’s oldest national newspaper, Fabentech CEO Sébastien Iva explained that ricin disrupts the body by halting cell function, while noting several other drug candidates in development at the firm.
Typically, the lungs sustain fatal damage. Our treatment interrupts this toxic process. In animals administered the antidote, we observed pulmonary function recovery, allowing survival.
Given that the possibility of terrorist attacks using ricin is considered a national security issue, Fabentech benefited from the support by the Ministry of the Armed Forces and the DGA and lasted nearly a decade of research and development work.
The granting of marketing authorisation was also supported by the French Armed Forces and welcomed by the French Minister of the Armed Forces, Catherine Vautrin, who previously served as France’s Minister of Labour, Health, and Solidarity.
“Supporting the development of companies in France capable of manufacturing antidotes against certain biological agents helps guarantee the operational superiority of our armed forces. Developing and producing such drugs when they do not yet exist on the market is also serving the nation and the public interest,” she said.
Although the threat posed by ricin remains hypothetical, Fabentech reports a strong interest from potential clients, with many countries seeking protection against possible bioterrorist attacks.
The DGA had already placed an order for several doses of Ricimed for deployment in France. For optimal effectiveness, the antidote must be administered within 6 hours of poisoning. Iva confirmed that multiple countries had already expressed interest in acquiring the antidote.
This story was translated from JIM, part of the Medscape Professional Network.
A version of this article first appeared on Medscape.com.
Military-Backed French Biotech Brings Ricin Antidote
Military-Backed French Biotech Brings Ricin Antidote
Veterans With Dementia Face Extended Time Away From Home After Emergency Department Care
Veterans With Dementia Face Extended Time Away From Home After Emergency Department Care
TOPLINE:
Veterans with dementia experienced significant reductions in time spent at home following emergency department (ED) visits, with a mean of 21.7 days away from home within 180 days of the index visit. ED admission was the strongest predictor of extended time away from home, followed by high frailty, an unmarried status, and lack of housing.
METHODOLOGY:
- Researchers conducted a retrospective cohort study using Department of Veterans Affairs (VA) and Centers for Medicare & Medicaid Services administrative data of 51,707 veterans with dementia (mean age, 79.9 years; 97.6% men; 52.2% married individuals; 73% White individuals) who had an eligible Veterans Health Administration ED visit between October 2016 and September 2018.
- The primary outcome was home time, defined as days alive and not spent in institutional care settings during the 180 days following the index ED visit; secondary outcomes included ED revisits within 30 days of the index visit and 30-day mortality.
TAKEAWAY:
- Veterans experienced a mean of 21.7 days away from home within 180 days after the ED visit; 4.5% never returned home, and 18.2% spent the entire 180-day follow-up period at home. Patients admitted from the ED spent a mean of 34.2 days away from home within 180 days, whereas those discharged directly spent a mean of 13.6 days.
- ED admission had the strongest association with increased days away from home (rate ratio [RR], 3.18), followed by patient factors such as unhoused status (RR, 1.50), very high frailty (RR, 1.27), unmarried status — never married (RR, 1.24) or divorced, separated, or widowed (RR, 1.24) — and depression (RR, 1.13).
- Compared with the overall cohort, veterans with psychiatric concerns had the highest risk for extended time away from home (RR, 1.31), followed by those with nonspecific concerns and geriatric syndromes.
- Among all participants, 27.6% had a 30-day ED revisit, and 4% died within 30 days of the index visit. An admission was associated with a lower likelihood of a 30-day ED revisit (hazard ratio [HR], 0.75) but an increased likelihood of 30-day mortality (HR, 4.87).
IN PRACTICE:
"Home time offers a promising, patient-centered measure to align emergency care with patients' and care partners' goals and preferences to remain at home," the authors wrote. However, they emphasized that "refining its application — particularly in accounting for index hospitalizations and long-term care transitions — is critical to accurately capturing quality of care and long-term well-being."
SOURCE:
The study was led by Justine Seidenfeld, MD, MHs, Durham Veterans Affairs Health Care System, Durham, North Carolina. It was published online on December 29, 2025, in JAMA Network Open.
LIMITATIONS:
The study population of veterans aged 65-66 years may have had incomplete dementia confirmation as Medicare data were limited, and the predominantly male cohort limited generalizability. Marriage status served as an imperfect proxy for social and care partner support. The varying severity of dementia among participants could not be fully assessed using VA administrative data. Additionally, some highly emergent ED visits may have been inadvertently included if patients were not properly triaged, and very low-acuity visits could not be reliably identified due to the lack of validated approaches.
DISCLOSURES:
The study was supported by the National Institute on Aging-Veterans Affairs Mentored Physician and Clinical Psychologist Scientist Award in Alzheimer's Disease (AD) and AD-Related Dementias, a project grant from the National Institute on Aging, and a grant from the Veterans Affairs Office of Health Systems Research, Center of Innovation to Accelerate Discovery and Practice Transformation at the Durham VA Health Care System. Several authors reported receiving grants, personal fees, and payments for literature reviews from or serving as consultants for various organizations. Detailed disclosures are noted in the original article.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.
A version of this article first appeared on Medscape.com.
TOPLINE:
Veterans with dementia experienced significant reductions in time spent at home following emergency department (ED) visits, with a mean of 21.7 days away from home within 180 days of the index visit. ED admission was the strongest predictor of extended time away from home, followed by high frailty, an unmarried status, and lack of housing.
METHODOLOGY:
- Researchers conducted a retrospective cohort study using Department of Veterans Affairs (VA) and Centers for Medicare & Medicaid Services administrative data of 51,707 veterans with dementia (mean age, 79.9 years; 97.6% men; 52.2% married individuals; 73% White individuals) who had an eligible Veterans Health Administration ED visit between October 2016 and September 2018.
- The primary outcome was home time, defined as days alive and not spent in institutional care settings during the 180 days following the index ED visit; secondary outcomes included ED revisits within 30 days of the index visit and 30-day mortality.
TAKEAWAY:
- Veterans experienced a mean of 21.7 days away from home within 180 days after the ED visit; 4.5% never returned home, and 18.2% spent the entire 180-day follow-up period at home. Patients admitted from the ED spent a mean of 34.2 days away from home within 180 days, whereas those discharged directly spent a mean of 13.6 days.
- ED admission had the strongest association with increased days away from home (rate ratio [RR], 3.18), followed by patient factors such as unhoused status (RR, 1.50), very high frailty (RR, 1.27), unmarried status — never married (RR, 1.24) or divorced, separated, or widowed (RR, 1.24) — and depression (RR, 1.13).
- Compared with the overall cohort, veterans with psychiatric concerns had the highest risk for extended time away from home (RR, 1.31), followed by those with nonspecific concerns and geriatric syndromes.
- Among all participants, 27.6% had a 30-day ED revisit, and 4% died within 30 days of the index visit. An admission was associated with a lower likelihood of a 30-day ED revisit (hazard ratio [HR], 0.75) but an increased likelihood of 30-day mortality (HR, 4.87).
IN PRACTICE:
"Home time offers a promising, patient-centered measure to align emergency care with patients' and care partners' goals and preferences to remain at home," the authors wrote. However, they emphasized that "refining its application — particularly in accounting for index hospitalizations and long-term care transitions — is critical to accurately capturing quality of care and long-term well-being."
SOURCE:
The study was led by Justine Seidenfeld, MD, MHs, Durham Veterans Affairs Health Care System, Durham, North Carolina. It was published online on December 29, 2025, in JAMA Network Open.
LIMITATIONS:
The study population of veterans aged 65-66 years may have had incomplete dementia confirmation as Medicare data were limited, and the predominantly male cohort limited generalizability. Marriage status served as an imperfect proxy for social and care partner support. The varying severity of dementia among participants could not be fully assessed using VA administrative data. Additionally, some highly emergent ED visits may have been inadvertently included if patients were not properly triaged, and very low-acuity visits could not be reliably identified due to the lack of validated approaches.
DISCLOSURES:
The study was supported by the National Institute on Aging-Veterans Affairs Mentored Physician and Clinical Psychologist Scientist Award in Alzheimer's Disease (AD) and AD-Related Dementias, a project grant from the National Institute on Aging, and a grant from the Veterans Affairs Office of Health Systems Research, Center of Innovation to Accelerate Discovery and Practice Transformation at the Durham VA Health Care System. Several authors reported receiving grants, personal fees, and payments for literature reviews from or serving as consultants for various organizations. Detailed disclosures are noted in the original article.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.
A version of this article first appeared on Medscape.com.
TOPLINE:
Veterans with dementia experienced significant reductions in time spent at home following emergency department (ED) visits, with a mean of 21.7 days away from home within 180 days of the index visit. ED admission was the strongest predictor of extended time away from home, followed by high frailty, an unmarried status, and lack of housing.
METHODOLOGY:
- Researchers conducted a retrospective cohort study using Department of Veterans Affairs (VA) and Centers for Medicare & Medicaid Services administrative data of 51,707 veterans with dementia (mean age, 79.9 years; 97.6% men; 52.2% married individuals; 73% White individuals) who had an eligible Veterans Health Administration ED visit between October 2016 and September 2018.
- The primary outcome was home time, defined as days alive and not spent in institutional care settings during the 180 days following the index ED visit; secondary outcomes included ED revisits within 30 days of the index visit and 30-day mortality.
TAKEAWAY:
- Veterans experienced a mean of 21.7 days away from home within 180 days after the ED visit; 4.5% never returned home, and 18.2% spent the entire 180-day follow-up period at home. Patients admitted from the ED spent a mean of 34.2 days away from home within 180 days, whereas those discharged directly spent a mean of 13.6 days.
- ED admission had the strongest association with increased days away from home (rate ratio [RR], 3.18), followed by patient factors such as unhoused status (RR, 1.50), very high frailty (RR, 1.27), unmarried status — never married (RR, 1.24) or divorced, separated, or widowed (RR, 1.24) — and depression (RR, 1.13).
- Compared with the overall cohort, veterans with psychiatric concerns had the highest risk for extended time away from home (RR, 1.31), followed by those with nonspecific concerns and geriatric syndromes.
- Among all participants, 27.6% had a 30-day ED revisit, and 4% died within 30 days of the index visit. An admission was associated with a lower likelihood of a 30-day ED revisit (hazard ratio [HR], 0.75) but an increased likelihood of 30-day mortality (HR, 4.87).
IN PRACTICE:
"Home time offers a promising, patient-centered measure to align emergency care with patients' and care partners' goals and preferences to remain at home," the authors wrote. However, they emphasized that "refining its application — particularly in accounting for index hospitalizations and long-term care transitions — is critical to accurately capturing quality of care and long-term well-being."
SOURCE:
The study was led by Justine Seidenfeld, MD, MHs, Durham Veterans Affairs Health Care System, Durham, North Carolina. It was published online on December 29, 2025, in JAMA Network Open.
LIMITATIONS:
The study population of veterans aged 65-66 years may have had incomplete dementia confirmation as Medicare data were limited, and the predominantly male cohort limited generalizability. Marriage status served as an imperfect proxy for social and care partner support. The varying severity of dementia among participants could not be fully assessed using VA administrative data. Additionally, some highly emergent ED visits may have been inadvertently included if patients were not properly triaged, and very low-acuity visits could not be reliably identified due to the lack of validated approaches.
DISCLOSURES:
The study was supported by the National Institute on Aging-Veterans Affairs Mentored Physician and Clinical Psychologist Scientist Award in Alzheimer's Disease (AD) and AD-Related Dementias, a project grant from the National Institute on Aging, and a grant from the Veterans Affairs Office of Health Systems Research, Center of Innovation to Accelerate Discovery and Practice Transformation at the Durham VA Health Care System. Several authors reported receiving grants, personal fees, and payments for literature reviews from or serving as consultants for various organizations. Detailed disclosures are noted in the original article.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.
A version of this article first appeared on Medscape.com.
Veterans With Dementia Face Extended Time Away From Home After Emergency Department Care
Veterans With Dementia Face Extended Time Away From Home After Emergency Department Care
High-Deductible Plans May Be Linked to Worse Cancer Survival
High-Deductible Plans May Be Linked to Worse Cancer Survival
TOPLINE:
A new analysis found that high-deductible health plans were associated with worse overall survival and cancer-specific survival among cancer survivors. High-deductible plans, however, were not associated with worse overall survival among adults without a history of cancer.
METHODOLOGY:
- Previous studies have linked high-deductible health plans with decreased or delayed health utilization among cancer survivors and higher out-of-pocket costs. However, it’s not clear whether these plans influence cancer outcomes.
- In a cross-sectional study, researchers analyzed data from 147,254 respondents (aged 18 to 84 years) in the National Health Interview Survey from 2011 to 2018 and identified individuals with high-deductible plans — 2331 cancer survivors and 37,473 people without a history of cancer.
- The researchers acquired linked mortality files from the National Death Index, which included data on mortality events through the end of 2019.
- High-deductible health plans were identified through survey responses and defined as plans with yearly deductibles of at least $1200-$1350 for individuals or at least $2400-$2700 for families.
- The primary endpoints included overall survival and cancer-specific survival. Researchers adjusted for insurance status, marital status, sex, comorbidities, education, household income, geographic region, cancer site, and time since diagnosis.
TAKEAWAY:
- Among cancer survivors, having a high-deductible health plan was associated with worse overall survival (hazard ratio [HR], 1.46) and cancer-specific survival (HR, 1.34). However, sensitivity analyses incorporating time since diagnosis slightly attenuated the cancer-specific survival association (HR, 1.20; 95% CI, 0.92-1.55).
- Among adults without a history of cancer, having a high-deductible health plan was not associated with significantly worse overall survival (HR, 1.08; 95% CI, 0.96-1.21).
- General concerns over finances, worry about medical bills, cost-related delays, or forgone care, as well as cost-related underuse of medications were significant mediators of the associations between high-deductible health plan status and mortality outcomes among cancer survivors.
- High-deductible health plan status was also associated with worse cancer-specific survival among cancer survivors with incomes at least 400% of the federal poverty level (HR, 1.65; P for interaction = .03).
IN PRACTICE:
“These data suggest that insurance coverage that financially discourages medical care may financially discourage necessary care and ultimately worsen cancer outcomes,” the study authors wrote. “This danger appears to be unique to cancer survivors, as [high-deductible health plans] were not associated with survival among adults without a cancer history.”
SOURCE:
The study, led by Justin M. Barnes, MD, MS, Department of Radiation Oncology, Mayo Clinic in Rochester, Minnesota, was published online on January 29 in JAMA Network Open.
LIMITATIONS:
High-deductible health plan status was self-reported and may have been inaccurate for some individuals, with more than half of consumers being unsure about their annual deductible amount. The study lacked specific plan details and exact deductible amounts, and high-deductible health plan status was based on a single time point during survey participation. Additionally, researchers lacked information about cancer stage, cancer-directed therapies, recurrences, or complications, and cancer mortality could be from cancers diagnosed after survey participation.
DISCLOSURES:
Meera Ragavan, MD, MPH, disclosed receiving personal fees from Trial Library and AstraZeneca and grants from Merck, outside the submitted work. Other authors reported receiving personal fees from Costs of Care during the study. Additional disclosures are noted in the original article.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.
A version of this article first appeared on Medscape.com.
TOPLINE:
A new analysis found that high-deductible health plans were associated with worse overall survival and cancer-specific survival among cancer survivors. High-deductible plans, however, were not associated with worse overall survival among adults without a history of cancer.
METHODOLOGY:
- Previous studies have linked high-deductible health plans with decreased or delayed health utilization among cancer survivors and higher out-of-pocket costs. However, it’s not clear whether these plans influence cancer outcomes.
- In a cross-sectional study, researchers analyzed data from 147,254 respondents (aged 18 to 84 years) in the National Health Interview Survey from 2011 to 2018 and identified individuals with high-deductible plans — 2331 cancer survivors and 37,473 people without a history of cancer.
- The researchers acquired linked mortality files from the National Death Index, which included data on mortality events through the end of 2019.
- High-deductible health plans were identified through survey responses and defined as plans with yearly deductibles of at least $1200-$1350 for individuals or at least $2400-$2700 for families.
- The primary endpoints included overall survival and cancer-specific survival. Researchers adjusted for insurance status, marital status, sex, comorbidities, education, household income, geographic region, cancer site, and time since diagnosis.
TAKEAWAY:
- Among cancer survivors, having a high-deductible health plan was associated with worse overall survival (hazard ratio [HR], 1.46) and cancer-specific survival (HR, 1.34). However, sensitivity analyses incorporating time since diagnosis slightly attenuated the cancer-specific survival association (HR, 1.20; 95% CI, 0.92-1.55).
- Among adults without a history of cancer, having a high-deductible health plan was not associated with significantly worse overall survival (HR, 1.08; 95% CI, 0.96-1.21).
- General concerns over finances, worry about medical bills, cost-related delays, or forgone care, as well as cost-related underuse of medications were significant mediators of the associations between high-deductible health plan status and mortality outcomes among cancer survivors.
- High-deductible health plan status was also associated with worse cancer-specific survival among cancer survivors with incomes at least 400% of the federal poverty level (HR, 1.65; P for interaction = .03).
IN PRACTICE:
“These data suggest that insurance coverage that financially discourages medical care may financially discourage necessary care and ultimately worsen cancer outcomes,” the study authors wrote. “This danger appears to be unique to cancer survivors, as [high-deductible health plans] were not associated with survival among adults without a cancer history.”
SOURCE:
The study, led by Justin M. Barnes, MD, MS, Department of Radiation Oncology, Mayo Clinic in Rochester, Minnesota, was published online on January 29 in JAMA Network Open.
LIMITATIONS:
High-deductible health plan status was self-reported and may have been inaccurate for some individuals, with more than half of consumers being unsure about their annual deductible amount. The study lacked specific plan details and exact deductible amounts, and high-deductible health plan status was based on a single time point during survey participation. Additionally, researchers lacked information about cancer stage, cancer-directed therapies, recurrences, or complications, and cancer mortality could be from cancers diagnosed after survey participation.
DISCLOSURES:
Meera Ragavan, MD, MPH, disclosed receiving personal fees from Trial Library and AstraZeneca and grants from Merck, outside the submitted work. Other authors reported receiving personal fees from Costs of Care during the study. Additional disclosures are noted in the original article.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.
A version of this article first appeared on Medscape.com.
TOPLINE:
A new analysis found that high-deductible health plans were associated with worse overall survival and cancer-specific survival among cancer survivors. High-deductible plans, however, were not associated with worse overall survival among adults without a history of cancer.
METHODOLOGY:
- Previous studies have linked high-deductible health plans with decreased or delayed health utilization among cancer survivors and higher out-of-pocket costs. However, it’s not clear whether these plans influence cancer outcomes.
- In a cross-sectional study, researchers analyzed data from 147,254 respondents (aged 18 to 84 years) in the National Health Interview Survey from 2011 to 2018 and identified individuals with high-deductible plans — 2331 cancer survivors and 37,473 people without a history of cancer.
- The researchers acquired linked mortality files from the National Death Index, which included data on mortality events through the end of 2019.
- High-deductible health plans were identified through survey responses and defined as plans with yearly deductibles of at least $1200-$1350 for individuals or at least $2400-$2700 for families.
- The primary endpoints included overall survival and cancer-specific survival. Researchers adjusted for insurance status, marital status, sex, comorbidities, education, household income, geographic region, cancer site, and time since diagnosis.
TAKEAWAY:
- Among cancer survivors, having a high-deductible health plan was associated with worse overall survival (hazard ratio [HR], 1.46) and cancer-specific survival (HR, 1.34). However, sensitivity analyses incorporating time since diagnosis slightly attenuated the cancer-specific survival association (HR, 1.20; 95% CI, 0.92-1.55).
- Among adults without a history of cancer, having a high-deductible health plan was not associated with significantly worse overall survival (HR, 1.08; 95% CI, 0.96-1.21).
- General concerns over finances, worry about medical bills, cost-related delays, or forgone care, as well as cost-related underuse of medications were significant mediators of the associations between high-deductible health plan status and mortality outcomes among cancer survivors.
- High-deductible health plan status was also associated with worse cancer-specific survival among cancer survivors with incomes at least 400% of the federal poverty level (HR, 1.65; P for interaction = .03).
IN PRACTICE:
“These data suggest that insurance coverage that financially discourages medical care may financially discourage necessary care and ultimately worsen cancer outcomes,” the study authors wrote. “This danger appears to be unique to cancer survivors, as [high-deductible health plans] were not associated with survival among adults without a cancer history.”
SOURCE:
The study, led by Justin M. Barnes, MD, MS, Department of Radiation Oncology, Mayo Clinic in Rochester, Minnesota, was published online on January 29 in JAMA Network Open.
LIMITATIONS:
High-deductible health plan status was self-reported and may have been inaccurate for some individuals, with more than half of consumers being unsure about their annual deductible amount. The study lacked specific plan details and exact deductible amounts, and high-deductible health plan status was based on a single time point during survey participation. Additionally, researchers lacked information about cancer stage, cancer-directed therapies, recurrences, or complications, and cancer mortality could be from cancers diagnosed after survey participation.
DISCLOSURES:
Meera Ragavan, MD, MPH, disclosed receiving personal fees from Trial Library and AstraZeneca and grants from Merck, outside the submitted work. Other authors reported receiving personal fees from Costs of Care during the study. Additional disclosures are noted in the original article.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.
A version of this article first appeared on Medscape.com.
High-Deductible Plans May Be Linked to Worse Cancer Survival
High-Deductible Plans May Be Linked to Worse Cancer Survival
Novel Blood Biomarkers May Detect Early Pancreatic Cancer
Novel Blood Biomarkers May Detect Early Pancreatic Cancer
TOPLINE:
Adding aminopeptidase N and polymeric immunoglobin receptor to a plasma biomarker panel of carbohydrate antigen 19-9 (CA19-9) and thrombospondin 2 (THBS2) enhanced the detection of early-stage pancreatic ductal adenocarcinoma (PDAC). At 95% specificity, the four-marker panel achieved more than 87% sensitivity for early-stage and more than 91% sensitivity for disease at any stage in two independent phase II studies. But prospective validation is required to ascertain clinical applicability.
METHODOLOGY:
- PDAC is associated with high mortality, but markedly improved survival is observed with early detection. Biomarkers such as CA19-9 are widely used to monitor PDAC treatment response but lack sensitivity and specificity for early-stage disease and can be influenced by patients’ genetics. A phase 2 study found THBS2 complements CA19‑9, with higher THBS2 levels linked to poorer prognosis in late-stage disease. This study uses phase 1 and 2 analyses to identify additional plasma biomarkers to improve early detection of PDAC.
- In phase 1 discovery, researchers used pooled plasma from 2 centers (University of Pennsylvania [Penn] and Mayo Clinic [Mayo]) to create representative samples for healthy control, chronic pancreatitis, early-stage PDAC (stage I/II), mid-stage PDAC (stage III), and late-stage PDAC.
- Plasma pools underwent abundant-protein depletion and were analyzed by two complementary mass spectrometry workflows; proteins consistently elevated in early PDAC (aminopeptidase N and polymeric immunoglobin receptor) were prioritized.
- Phase 2 validation measured CA19-9, THBS2, aminopeptidase N, and polymeric immunoglobin receptor levels by enzyme-linked immunosorbent assay in two blinded retrospective cohorts (Penn, n = 135; Mayo, n = 537). Overall, the Penn cohort included 59 patients with PDAC, 47 healthy control individuals, and 29 control patients with diseases (chronic pancreatitis, pancreatic cysts, pancreatic intraepithelial neoplasia, and intraductal papillary mucinous neoplasms). The Mayo cohort included 197 patients with PDAC, 140 healthy control individuals, and 200 control patients with diseases (intraductal papillary mucinous neoplasms, pancreatic neuroendocrine tumors, and chronic pancreatitis).
- Investigators developed univariate and multivariable logistic regression models to evaluate each marker alone and in combinations (2-, 3-, and 4-marker panels) for discriminating patients with PDAC from healthy control individuals and from control patients with diseases. Model performance was assessed using receiver-operating characteristic (ROC) curves and area under the ROC curve (AUC), and bootstrap methods were used to estimate 95% CIs.
TAKEAWAY:
- Comparing the performances of single markers for patients with stage I/II PDAC vs healthy control individuals, no single marker could outperform CA19-9 alone (AUC = 0.90 in both Penn and Mayo cohorts). Two-marker models (CA19-9 plus one marker) vs CA19-9 alone improved AUCs for both early- and all-stage PDACs in both cohorts.
- Looking at multivariable panels for patients with stage I/II PDAC vs healthy control individuals, the 3-marker panel of CA19-9/THBS2/ aminopeptidase N outperformed the other three-marker models, with AUCs of 0.96 (Penn) and 0.97 (Mayo). The 4-marker panel of CA19-9/THBS2/aminopeptidase N /polymeric immunoglobin receptor was the strongest performing panel with AUCs of 0.96 (Penn) and 0.97 (Mayo).
- In the Mayo cohort, the 4-marker panel (CA19-9/THBS2/aminopeptidase N/polymeric immunoglobin receptor) achieved AUCs of 0.87 and 0.91 for patients with stage I/II PDAC vs control patients with diseases and patients with stages I-IV PDAC vs control patients with diseases, respectively.
- At a specificity of 95%, “a plasma biomarker panel composed of CA19-9 (≥ 35 U/mL), THBS2 (≥ 42 ng/mL), aminopeptidase N (≥ 2995 ng/mL), and polymeric immunoglobin receptor (≥ 1800 ng/mL) yielded a sensitivity of 91.94% for all stages and 87.53% for early stage I/II PDAC detection,” the authors wrote.
IN PRACTICE:
“A panel composed of CA19-9/THBS2/aminopeptidase N/polymeric immunoglobin receptor may be suitable for early detection of PDAC based on results showing a high sensitivity and specificity in the larger Mayo phase II cohort but would require prediagnostic cohorts for verification,” the authors of the study wrote.
SOURCE:
The study, led by Brianna M. Krusen, Institute for Regenerative Medicine, Perelman School of Medicine at Penn, Philadelphia, was published online in Clinical Cancer Research.
LIMITATIONS:
The biomarker panel was evaluated on samples drawn at the time of diagnosis and has not yet been assessed in prediagnostic or high‑risk surveillance cohorts, which are necessary to establish its clinical performance.
DISCLOSURES:
The study was supported by the Penn Pancreatic Cancer Research Center, A Love for Life, and National Institutes of Health (NIH) Grant. Several authors reported receiving grants and other support from the NIH and various other sources.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.
A version of this article first appeared on Medscape.com.
TOPLINE:
Adding aminopeptidase N and polymeric immunoglobin receptor to a plasma biomarker panel of carbohydrate antigen 19-9 (CA19-9) and thrombospondin 2 (THBS2) enhanced the detection of early-stage pancreatic ductal adenocarcinoma (PDAC). At 95% specificity, the four-marker panel achieved more than 87% sensitivity for early-stage and more than 91% sensitivity for disease at any stage in two independent phase II studies. But prospective validation is required to ascertain clinical applicability.
METHODOLOGY:
- PDAC is associated with high mortality, but markedly improved survival is observed with early detection. Biomarkers such as CA19-9 are widely used to monitor PDAC treatment response but lack sensitivity and specificity for early-stage disease and can be influenced by patients’ genetics. A phase 2 study found THBS2 complements CA19‑9, with higher THBS2 levels linked to poorer prognosis in late-stage disease. This study uses phase 1 and 2 analyses to identify additional plasma biomarkers to improve early detection of PDAC.
- In phase 1 discovery, researchers used pooled plasma from 2 centers (University of Pennsylvania [Penn] and Mayo Clinic [Mayo]) to create representative samples for healthy control, chronic pancreatitis, early-stage PDAC (stage I/II), mid-stage PDAC (stage III), and late-stage PDAC.
- Plasma pools underwent abundant-protein depletion and were analyzed by two complementary mass spectrometry workflows; proteins consistently elevated in early PDAC (aminopeptidase N and polymeric immunoglobin receptor) were prioritized.
- Phase 2 validation measured CA19-9, THBS2, aminopeptidase N, and polymeric immunoglobin receptor levels by enzyme-linked immunosorbent assay in two blinded retrospective cohorts (Penn, n = 135; Mayo, n = 537). Overall, the Penn cohort included 59 patients with PDAC, 47 healthy control individuals, and 29 control patients with diseases (chronic pancreatitis, pancreatic cysts, pancreatic intraepithelial neoplasia, and intraductal papillary mucinous neoplasms). The Mayo cohort included 197 patients with PDAC, 140 healthy control individuals, and 200 control patients with diseases (intraductal papillary mucinous neoplasms, pancreatic neuroendocrine tumors, and chronic pancreatitis).
- Investigators developed univariate and multivariable logistic regression models to evaluate each marker alone and in combinations (2-, 3-, and 4-marker panels) for discriminating patients with PDAC from healthy control individuals and from control patients with diseases. Model performance was assessed using receiver-operating characteristic (ROC) curves and area under the ROC curve (AUC), and bootstrap methods were used to estimate 95% CIs.
TAKEAWAY:
- Comparing the performances of single markers for patients with stage I/II PDAC vs healthy control individuals, no single marker could outperform CA19-9 alone (AUC = 0.90 in both Penn and Mayo cohorts). Two-marker models (CA19-9 plus one marker) vs CA19-9 alone improved AUCs for both early- and all-stage PDACs in both cohorts.
- Looking at multivariable panels for patients with stage I/II PDAC vs healthy control individuals, the 3-marker panel of CA19-9/THBS2/ aminopeptidase N outperformed the other three-marker models, with AUCs of 0.96 (Penn) and 0.97 (Mayo). The 4-marker panel of CA19-9/THBS2/aminopeptidase N /polymeric immunoglobin receptor was the strongest performing panel with AUCs of 0.96 (Penn) and 0.97 (Mayo).
- In the Mayo cohort, the 4-marker panel (CA19-9/THBS2/aminopeptidase N/polymeric immunoglobin receptor) achieved AUCs of 0.87 and 0.91 for patients with stage I/II PDAC vs control patients with diseases and patients with stages I-IV PDAC vs control patients with diseases, respectively.
- At a specificity of 95%, “a plasma biomarker panel composed of CA19-9 (≥ 35 U/mL), THBS2 (≥ 42 ng/mL), aminopeptidase N (≥ 2995 ng/mL), and polymeric immunoglobin receptor (≥ 1800 ng/mL) yielded a sensitivity of 91.94% for all stages and 87.53% for early stage I/II PDAC detection,” the authors wrote.
IN PRACTICE:
“A panel composed of CA19-9/THBS2/aminopeptidase N/polymeric immunoglobin receptor may be suitable for early detection of PDAC based on results showing a high sensitivity and specificity in the larger Mayo phase II cohort but would require prediagnostic cohorts for verification,” the authors of the study wrote.
SOURCE:
The study, led by Brianna M. Krusen, Institute for Regenerative Medicine, Perelman School of Medicine at Penn, Philadelphia, was published online in Clinical Cancer Research.
LIMITATIONS:
The biomarker panel was evaluated on samples drawn at the time of diagnosis and has not yet been assessed in prediagnostic or high‑risk surveillance cohorts, which are necessary to establish its clinical performance.
DISCLOSURES:
The study was supported by the Penn Pancreatic Cancer Research Center, A Love for Life, and National Institutes of Health (NIH) Grant. Several authors reported receiving grants and other support from the NIH and various other sources.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.
A version of this article first appeared on Medscape.com.
TOPLINE:
Adding aminopeptidase N and polymeric immunoglobin receptor to a plasma biomarker panel of carbohydrate antigen 19-9 (CA19-9) and thrombospondin 2 (THBS2) enhanced the detection of early-stage pancreatic ductal adenocarcinoma (PDAC). At 95% specificity, the four-marker panel achieved more than 87% sensitivity for early-stage and more than 91% sensitivity for disease at any stage in two independent phase II studies. But prospective validation is required to ascertain clinical applicability.
METHODOLOGY:
- PDAC is associated with high mortality, but markedly improved survival is observed with early detection. Biomarkers such as CA19-9 are widely used to monitor PDAC treatment response but lack sensitivity and specificity for early-stage disease and can be influenced by patients’ genetics. A phase 2 study found THBS2 complements CA19‑9, with higher THBS2 levels linked to poorer prognosis in late-stage disease. This study uses phase 1 and 2 analyses to identify additional plasma biomarkers to improve early detection of PDAC.
- In phase 1 discovery, researchers used pooled plasma from 2 centers (University of Pennsylvania [Penn] and Mayo Clinic [Mayo]) to create representative samples for healthy control, chronic pancreatitis, early-stage PDAC (stage I/II), mid-stage PDAC (stage III), and late-stage PDAC.
- Plasma pools underwent abundant-protein depletion and were analyzed by two complementary mass spectrometry workflows; proteins consistently elevated in early PDAC (aminopeptidase N and polymeric immunoglobin receptor) were prioritized.
- Phase 2 validation measured CA19-9, THBS2, aminopeptidase N, and polymeric immunoglobin receptor levels by enzyme-linked immunosorbent assay in two blinded retrospective cohorts (Penn, n = 135; Mayo, n = 537). Overall, the Penn cohort included 59 patients with PDAC, 47 healthy control individuals, and 29 control patients with diseases (chronic pancreatitis, pancreatic cysts, pancreatic intraepithelial neoplasia, and intraductal papillary mucinous neoplasms). The Mayo cohort included 197 patients with PDAC, 140 healthy control individuals, and 200 control patients with diseases (intraductal papillary mucinous neoplasms, pancreatic neuroendocrine tumors, and chronic pancreatitis).
- Investigators developed univariate and multivariable logistic regression models to evaluate each marker alone and in combinations (2-, 3-, and 4-marker panels) for discriminating patients with PDAC from healthy control individuals and from control patients with diseases. Model performance was assessed using receiver-operating characteristic (ROC) curves and area under the ROC curve (AUC), and bootstrap methods were used to estimate 95% CIs.
TAKEAWAY:
- Comparing the performances of single markers for patients with stage I/II PDAC vs healthy control individuals, no single marker could outperform CA19-9 alone (AUC = 0.90 in both Penn and Mayo cohorts). Two-marker models (CA19-9 plus one marker) vs CA19-9 alone improved AUCs for both early- and all-stage PDACs in both cohorts.
- Looking at multivariable panels for patients with stage I/II PDAC vs healthy control individuals, the 3-marker panel of CA19-9/THBS2/ aminopeptidase N outperformed the other three-marker models, with AUCs of 0.96 (Penn) and 0.97 (Mayo). The 4-marker panel of CA19-9/THBS2/aminopeptidase N /polymeric immunoglobin receptor was the strongest performing panel with AUCs of 0.96 (Penn) and 0.97 (Mayo).
- In the Mayo cohort, the 4-marker panel (CA19-9/THBS2/aminopeptidase N/polymeric immunoglobin receptor) achieved AUCs of 0.87 and 0.91 for patients with stage I/II PDAC vs control patients with diseases and patients with stages I-IV PDAC vs control patients with diseases, respectively.
- At a specificity of 95%, “a plasma biomarker panel composed of CA19-9 (≥ 35 U/mL), THBS2 (≥ 42 ng/mL), aminopeptidase N (≥ 2995 ng/mL), and polymeric immunoglobin receptor (≥ 1800 ng/mL) yielded a sensitivity of 91.94% for all stages and 87.53% for early stage I/II PDAC detection,” the authors wrote.
IN PRACTICE:
“A panel composed of CA19-9/THBS2/aminopeptidase N/polymeric immunoglobin receptor may be suitable for early detection of PDAC based on results showing a high sensitivity and specificity in the larger Mayo phase II cohort but would require prediagnostic cohorts for verification,” the authors of the study wrote.
SOURCE:
The study, led by Brianna M. Krusen, Institute for Regenerative Medicine, Perelman School of Medicine at Penn, Philadelphia, was published online in Clinical Cancer Research.
LIMITATIONS:
The biomarker panel was evaluated on samples drawn at the time of diagnosis and has not yet been assessed in prediagnostic or high‑risk surveillance cohorts, which are necessary to establish its clinical performance.
DISCLOSURES:
The study was supported by the Penn Pancreatic Cancer Research Center, A Love for Life, and National Institutes of Health (NIH) Grant. Several authors reported receiving grants and other support from the NIH and various other sources.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.
A version of this article first appeared on Medscape.com.
Novel Blood Biomarkers May Detect Early Pancreatic Cancer
Novel Blood Biomarkers May Detect Early Pancreatic Cancer
Managing Resistance to Change Along the Journey to High Reliability
Managing Resistance to Change Along the Journey to High Reliability
To improve safety performance, many health care organizations have embarked on the journey to becoming high reliability organizations (HROs). HROs operate in complex, high-risk, constantly changing environments and avoid catastrophic events despite the inherent risks.1 HROs maintain high levels of safety and reliability by adhering to core principles, foundational practices, rigorous processes, a strong organizational culture, and continuous learning and process improvement.1-3
Becoming an HRO requires understanding what makes systems safer for patients and staff at all levels by taking ownership of 5 principles: (1) sensitivity to operations (increased awareness of the current status of systems); (2) reluctance to simplify (avoiding oversimplification of the cause[s] of problems); (3) preoccupation with failure (anticipating risks that might be symptomatic of a larger problem); (4) deference to expertise (relying on the most qualified individuals to make decisions); and (5) commitment to resilience (planning for potential failure and being prepared to respond).1,2,4 In addition to these, the Veterans Health Administration has identified 3 pillars of HROs: leadership commitment (safety and reliability are central to leadership vision, decision-making, and action-oriented behaviors), safety culture (across the organization, safety values are key to preventing harm and learning from mistakes), and continuous process improvement (promoting constant learning and improvement with evidence-based tools and methodologies).5
Implementing these principles is not enough to achieve high reliability. This transition requires significant change, which can be met with resistance. Without attending to organizational change, implementation of HRO principles can be superficial, scattered, and isolated.6 Large organizations often struggle with change as it conflicts with the fundamental human need for stability and security.7 Consequently, the journey to becoming an HRO requires an understanding of the reasons for resistance to change (RtC) as well as evidence-based strategies.
REASONS FOR RESISTANCE TO CHANGE
RtC is the informal and covert behavior of an individual or group to a particular change. RtC is commonly recognized as the failure of employees to do anything requested by managers and is a main reason change initiatives fail.8 While some staff see change as opportunities for learning and growth, others resist based on uncertainty about how the changes will impact their current work situation, or fear, frustration, confusion, and distrust.8,9 Resistance can overtly manifest with some staff publicly expressing their discontent in public without offering solutions, or covertly by ignoring the change or avoiding participation in any aspect of the change process. Both forms of RtC are equally detrimental.8
Frequent changes in organizations can also cause cynicism. Employees will view the change as something initially popular, but will only last until another change comes along.8,9 Resistance can result in the failure to achieve desired objectives, wasted time, effort, and resources, decreased momentum, and loss of confidence and trust in leaders to effectively manage the change process.9 To understand RtC, 3 main factors must be considered: individual, interpersonal, and organizational.
Individual
An individual’s personality can be an important indicator for how they will respond to change. Some individuals welcome and thrive on change while others resist in preference for the status quo.8,10 Individuals will also resist change if they believe their position, power, or prestige within the organization are in jeopardy or that the change is contrary to current personal or organizational values, principles, and objectives.8-12 Resistance can also be the result of uncertainty about what the change means, lack of information regarding the change, or questioning motives for the change.9
Interpersonal
Another influence on RtC is the interpersonal factors of employees. The personal satisfaction individuals receive from their work and the type of interactions they experience with colleagues can impact RtC. When communication with colleagues is lacking before and during change implementation, negative reactions to the change can fuel resistance.11 Cross-functional and bidirectional communication is vital; its absence can leave staff feeling inadequately informed and less supportive of the change.8 Employees’ understanding of changes through communication between other members of the organization is critical to success.11
Organizational
How organizational leaders introduce change affects the extent to which staff respond.10 RtC can emerge if staff feel change is imposed on them. Change is better received when people are actively engaged in the process and adopt a sense of ownership that will ultimately affect them and their role within the organization.12,13 Organizations are also better equipped to address potential RtC when leadership is respected and have a genuine concern for the overall well-being of staff members. Organizational leaders who mainly focus on the bottom line and have little regard for staff are more likely to be perceived as untrustworthy, which contributes to RtC.9,13 Lack of proper education and guidance from organizational leaders, as well as poor communication, can lead to RtC.8,13
MANAGING RESISTANCE TO CHANGE
RtC can be a significant factor in the success or failure of the change process. Poorly managed change can exponentially increase resistance, necessitating a multifaceted approach to managing RtC, while well-managed change can result in a high success rate. Evidence-based strategies to counter RtC focus on communication, employee participation, education and training, and engaging managers.8
Communication
Open and effective communication is critical to managing RtC, as uncertainty often exaggerates the negative aspects of change. Effective communication involves active listening, with leadership and management addressing employee concerns in a clear and concise manner. A psychologically safe culture for open dialogue is essential when addressing RtC.9,14,15 Psychological safety empowers staff to speak up, ask questions, and offer ideas, forming a solid basis for open and effective communication and participation. Leaders and managers should create opportunities for open dialogue for all members of the organization throughout the process. This can be accomplished with one-on-one meetings, open forums, town hall meetings, electronic mail, newsletters, and social media. Topics should cover the reasons for change, details of what is changing, the individual, organizational, and patient risks of not changing, as well as the benefits of changing.9 Encouraging staff to ask questions and provide feedback to promote bidirectional and closed-loop communication is essential to avoid misunderstandings.9,15 While open communication is essential, leaders must carefully plan what information to share, how much to share, and how to avoid information overload. Information about the change should be timely, adequate, applicable, and informative.15 The HRO practice of leader rounding for high reliability can be instrumental to ensure effective, bidirectional communication and collaboration among all disciplines across a health care organization through improving leadership visibility during times of change and enhancing interactions and communication with staff.3
Employee Participation
Involving staff in the change process significantly reduces RtC. Engagement fosters ownership in the change process, increasing the likelihood employees will support and even champion it. Health care professionals welcome opportunities to be involved in helping with aspects of organizational change, especially when invited to participate in the change early in the process and throughout the course of change.7,14,15
Leaders should encourage staff to provide feedback to understand the impact the change is having on them and their roles and responsibilities within the organization. This exemplifies the HRO principle of deference to expertise as the employee often has the most in-depth knowledge of their work setting. Employee perspectives can significantly influence the success of change initatives.7,14 Participation is impactful in providing employees with a sense of agency facilitating acceptance and improving desire to adopt the change.14
Tiered safety huddles and visual management systems (VMSs) also can engage staff. Tiered safety huddles provide a forum for transparent communication, increasing situational awareness, and improving a health care organization’s ability to appropriately respond to staff questions, suggestions, and concerns. VMSs display the status and progress toward organizational goals during the change process, and are highly effective in creating environments where staff feel empowered to voice concerns related to the change process.3
Education and Training
Educating employees on the value of change is crucial to overcome RtC. RtC often stems from employees not feeling prepared to adapt or adopt new processes. Health care professionals who do not receive information about change are less likely to support it.7,12,15 Staff are more likely to accept change when they understand why it is needed and how it impacts the organization’s long-term mission.11,15 Timely, compelling, and informative education on how to adapt to the change will promote more positive appraisal of the change and reduce RtC.8,15 Employees must feel confident they will receive the appropriate training, resources, and support to successfully adapt to the change. This requires leaders and managers taking time to clarify expectations, conduct a gap analysis to identify the skills and knowledge needed to support the planned change, and provide sufficient educational opportunities to fill those gaps.8 For example, the US Department of Veterans Affairs offers classes to employees on the Prosci ADKAR (Awareness, Desire, Knowledge, Ability, and Reinforcement) Model. This training provides individuals with the information and skills needed for change to be successful.16
Safety forums can be influential and allow leadership to educate staff on updates related to change processes and promote bidirectional communication.3 In safety forums, staff have an opportunity to ask questions, especially as they relate to learning about available resources to become more informed about the organizational changes.
Engaging Managers
Managers are pivotal to the successful implementation of organizational change.8 They serve as the bridge between senior leadership and frontline employees and are positioned to influence the adoption and success of change initiatives. Often the first point of contact for employees, managers can effectively communicate the need for change, and act as the liaison to align it with individual employee motivations. Since they are often the first to encounter resistance among employees, managers serve as advocates through the process. Through a coaching role, managers can help employees develop the knowledge and ability to be successful and thrive in the new environment. The Table summarizes the evidence-based strategies.

CONCLUSIONS
Implementing change in health care organizations can be challenging, especially on the journey to high reliability. RtC is the result of factors at the individual, interpersonal, and organizational levels that leaders must address to increase chances for success. Organizational changes in health care are more likely to succeed when staff understand why the change is needed through open and continuous communication, can influence the change by sharing their own perspectives, and have the knowledge, skills, and resources to prepare for and participate in the process.
- Merchant NB, O’Neal J, Dealing-Perez C, et al. A high-reliability organization mindset. Am J Med Qual. 2022;37:504-510. doi:10.1097/JMQ.0000000000000086
- Veazie S, Peterson K, Bourne D, et al. Implementing high-reliability organization principles into practice: a rapid evidence review. J Patient Saf. 2022;18:e320-e328. doi:10.1097/PTS.0000000000000768
- Murray JS, Baghdadi A, Dannenberg W, et al. The role of high reliability organization foundational practices in building a culture of safety. Fed Pract. 2024;41:214-221. doi:10.12788/fp.0486
- Ford J, Isaacks DB, Anderson T. Creating, executing and sustaining a high-reliability organization in health care. The Learning Organization: An International Journal. 2024;31:817-833. doi:10.1108/TLO-03-2023-0048
- Cox GR, Starr LM. VHA’s movement for change: implementing high-reliability principles and practices. J Healthc Manag. 2023;68:151-157. doi:10.1097/JHM-D-00056
- Myers CG, Sutcliffe KM. High reliability organising in healthcare: still a long way left to go. BMJ Qual Saf. 2022;31:845-848. doi:10.1136/bmjqs-2021-014141
- Nilsen P, Seing I, Ericsson C, et al. Characteristics of successful changes in health care organizations: an interview study with physicians, registered nurses and assistant nurses. BMC Health Serv Res. 2020;20:147. doi:10.1186/s12913-020-4999-8
- Cheraghi R, Ebrahimi H, Kheibar N, et al. Reasons for resistance to change in nursing: an integrative review. BMC Nurs. 2023;22:310. doi:10/1186/s12912-023-01460-0
- Warrick DD. Revisiting resistance to change and how to manage it: what has been learned and what organizations need to do. Bus Horiz. 2023;66:433-441. doi:10.1016/j.bushor.2022.09.001
- Sverdlik N, Oreg S. Beyond the individual-level conceptualization of dispositional resistance to change: multilevel effects on the response to organizational change. J Organ Behav. 2023;44:1066-1077. doi:10.1002/job.2678
- Khaw KW, Alnoor A, Al-Abrrow H, et al. Reactions towards organizational change: a systematic literature review. Curr Psychol. 2022;13:1-24. doi:10.1007/s12144-022-03070-6
- Pomare C, Churruca K, Long JC, et al. Organisational change in hospitals: a qualitative case-study of staff perspectives. BMC Health Serv Res. 2019;19:840. doi:10.1186/s12913-019-4704-y
- DuBose BM, Mayo AM. RtC: a concept analysis. Nurs Forum. 2020;55:631-636. doi:10.1111/nuf.12479
- Sahay S, Goldthwaite C. Participatory practices during organizational change: rethinking participation and resistance. Manag Commun Q. 2024;38(2):279-306. doi:10.1177/08933189231187883
- Damawan AH, Azizah S. Resistance to change: causes and strategies as an organizational challenge. ASSEHR. 2020;395(2020):49-53. doi:10.2991/assehr.k.200120.010
- Wong Q, Lacombe M, Keller R, et al. Leading change with ADKAR. Nurs Manage. 2019;50:28-35. doi:10.1097/01.NUMA.0000554341.70508.75
To improve safety performance, many health care organizations have embarked on the journey to becoming high reliability organizations (HROs). HROs operate in complex, high-risk, constantly changing environments and avoid catastrophic events despite the inherent risks.1 HROs maintain high levels of safety and reliability by adhering to core principles, foundational practices, rigorous processes, a strong organizational culture, and continuous learning and process improvement.1-3
Becoming an HRO requires understanding what makes systems safer for patients and staff at all levels by taking ownership of 5 principles: (1) sensitivity to operations (increased awareness of the current status of systems); (2) reluctance to simplify (avoiding oversimplification of the cause[s] of problems); (3) preoccupation with failure (anticipating risks that might be symptomatic of a larger problem); (4) deference to expertise (relying on the most qualified individuals to make decisions); and (5) commitment to resilience (planning for potential failure and being prepared to respond).1,2,4 In addition to these, the Veterans Health Administration has identified 3 pillars of HROs: leadership commitment (safety and reliability are central to leadership vision, decision-making, and action-oriented behaviors), safety culture (across the organization, safety values are key to preventing harm and learning from mistakes), and continuous process improvement (promoting constant learning and improvement with evidence-based tools and methodologies).5
Implementing these principles is not enough to achieve high reliability. This transition requires significant change, which can be met with resistance. Without attending to organizational change, implementation of HRO principles can be superficial, scattered, and isolated.6 Large organizations often struggle with change as it conflicts with the fundamental human need for stability and security.7 Consequently, the journey to becoming an HRO requires an understanding of the reasons for resistance to change (RtC) as well as evidence-based strategies.
REASONS FOR RESISTANCE TO CHANGE
RtC is the informal and covert behavior of an individual or group to a particular change. RtC is commonly recognized as the failure of employees to do anything requested by managers and is a main reason change initiatives fail.8 While some staff see change as opportunities for learning and growth, others resist based on uncertainty about how the changes will impact their current work situation, or fear, frustration, confusion, and distrust.8,9 Resistance can overtly manifest with some staff publicly expressing their discontent in public without offering solutions, or covertly by ignoring the change or avoiding participation in any aspect of the change process. Both forms of RtC are equally detrimental.8
Frequent changes in organizations can also cause cynicism. Employees will view the change as something initially popular, but will only last until another change comes along.8,9 Resistance can result in the failure to achieve desired objectives, wasted time, effort, and resources, decreased momentum, and loss of confidence and trust in leaders to effectively manage the change process.9 To understand RtC, 3 main factors must be considered: individual, interpersonal, and organizational.
Individual
An individual’s personality can be an important indicator for how they will respond to change. Some individuals welcome and thrive on change while others resist in preference for the status quo.8,10 Individuals will also resist change if they believe their position, power, or prestige within the organization are in jeopardy or that the change is contrary to current personal or organizational values, principles, and objectives.8-12 Resistance can also be the result of uncertainty about what the change means, lack of information regarding the change, or questioning motives for the change.9
Interpersonal
Another influence on RtC is the interpersonal factors of employees. The personal satisfaction individuals receive from their work and the type of interactions they experience with colleagues can impact RtC. When communication with colleagues is lacking before and during change implementation, negative reactions to the change can fuel resistance.11 Cross-functional and bidirectional communication is vital; its absence can leave staff feeling inadequately informed and less supportive of the change.8 Employees’ understanding of changes through communication between other members of the organization is critical to success.11
Organizational
How organizational leaders introduce change affects the extent to which staff respond.10 RtC can emerge if staff feel change is imposed on them. Change is better received when people are actively engaged in the process and adopt a sense of ownership that will ultimately affect them and their role within the organization.12,13 Organizations are also better equipped to address potential RtC when leadership is respected and have a genuine concern for the overall well-being of staff members. Organizational leaders who mainly focus on the bottom line and have little regard for staff are more likely to be perceived as untrustworthy, which contributes to RtC.9,13 Lack of proper education and guidance from organizational leaders, as well as poor communication, can lead to RtC.8,13
MANAGING RESISTANCE TO CHANGE
RtC can be a significant factor in the success or failure of the change process. Poorly managed change can exponentially increase resistance, necessitating a multifaceted approach to managing RtC, while well-managed change can result in a high success rate. Evidence-based strategies to counter RtC focus on communication, employee participation, education and training, and engaging managers.8
Communication
Open and effective communication is critical to managing RtC, as uncertainty often exaggerates the negative aspects of change. Effective communication involves active listening, with leadership and management addressing employee concerns in a clear and concise manner. A psychologically safe culture for open dialogue is essential when addressing RtC.9,14,15 Psychological safety empowers staff to speak up, ask questions, and offer ideas, forming a solid basis for open and effective communication and participation. Leaders and managers should create opportunities for open dialogue for all members of the organization throughout the process. This can be accomplished with one-on-one meetings, open forums, town hall meetings, electronic mail, newsletters, and social media. Topics should cover the reasons for change, details of what is changing, the individual, organizational, and patient risks of not changing, as well as the benefits of changing.9 Encouraging staff to ask questions and provide feedback to promote bidirectional and closed-loop communication is essential to avoid misunderstandings.9,15 While open communication is essential, leaders must carefully plan what information to share, how much to share, and how to avoid information overload. Information about the change should be timely, adequate, applicable, and informative.15 The HRO practice of leader rounding for high reliability can be instrumental to ensure effective, bidirectional communication and collaboration among all disciplines across a health care organization through improving leadership visibility during times of change and enhancing interactions and communication with staff.3
Employee Participation
Involving staff in the change process significantly reduces RtC. Engagement fosters ownership in the change process, increasing the likelihood employees will support and even champion it. Health care professionals welcome opportunities to be involved in helping with aspects of organizational change, especially when invited to participate in the change early in the process and throughout the course of change.7,14,15
Leaders should encourage staff to provide feedback to understand the impact the change is having on them and their roles and responsibilities within the organization. This exemplifies the HRO principle of deference to expertise as the employee often has the most in-depth knowledge of their work setting. Employee perspectives can significantly influence the success of change initatives.7,14 Participation is impactful in providing employees with a sense of agency facilitating acceptance and improving desire to adopt the change.14
Tiered safety huddles and visual management systems (VMSs) also can engage staff. Tiered safety huddles provide a forum for transparent communication, increasing situational awareness, and improving a health care organization’s ability to appropriately respond to staff questions, suggestions, and concerns. VMSs display the status and progress toward organizational goals during the change process, and are highly effective in creating environments where staff feel empowered to voice concerns related to the change process.3
Education and Training
Educating employees on the value of change is crucial to overcome RtC. RtC often stems from employees not feeling prepared to adapt or adopt new processes. Health care professionals who do not receive information about change are less likely to support it.7,12,15 Staff are more likely to accept change when they understand why it is needed and how it impacts the organization’s long-term mission.11,15 Timely, compelling, and informative education on how to adapt to the change will promote more positive appraisal of the change and reduce RtC.8,15 Employees must feel confident they will receive the appropriate training, resources, and support to successfully adapt to the change. This requires leaders and managers taking time to clarify expectations, conduct a gap analysis to identify the skills and knowledge needed to support the planned change, and provide sufficient educational opportunities to fill those gaps.8 For example, the US Department of Veterans Affairs offers classes to employees on the Prosci ADKAR (Awareness, Desire, Knowledge, Ability, and Reinforcement) Model. This training provides individuals with the information and skills needed for change to be successful.16
Safety forums can be influential and allow leadership to educate staff on updates related to change processes and promote bidirectional communication.3 In safety forums, staff have an opportunity to ask questions, especially as they relate to learning about available resources to become more informed about the organizational changes.
Engaging Managers
Managers are pivotal to the successful implementation of organizational change.8 They serve as the bridge between senior leadership and frontline employees and are positioned to influence the adoption and success of change initiatives. Often the first point of contact for employees, managers can effectively communicate the need for change, and act as the liaison to align it with individual employee motivations. Since they are often the first to encounter resistance among employees, managers serve as advocates through the process. Through a coaching role, managers can help employees develop the knowledge and ability to be successful and thrive in the new environment. The Table summarizes the evidence-based strategies.

CONCLUSIONS
Implementing change in health care organizations can be challenging, especially on the journey to high reliability. RtC is the result of factors at the individual, interpersonal, and organizational levels that leaders must address to increase chances for success. Organizational changes in health care are more likely to succeed when staff understand why the change is needed through open and continuous communication, can influence the change by sharing their own perspectives, and have the knowledge, skills, and resources to prepare for and participate in the process.
To improve safety performance, many health care organizations have embarked on the journey to becoming high reliability organizations (HROs). HROs operate in complex, high-risk, constantly changing environments and avoid catastrophic events despite the inherent risks.1 HROs maintain high levels of safety and reliability by adhering to core principles, foundational practices, rigorous processes, a strong organizational culture, and continuous learning and process improvement.1-3
Becoming an HRO requires understanding what makes systems safer for patients and staff at all levels by taking ownership of 5 principles: (1) sensitivity to operations (increased awareness of the current status of systems); (2) reluctance to simplify (avoiding oversimplification of the cause[s] of problems); (3) preoccupation with failure (anticipating risks that might be symptomatic of a larger problem); (4) deference to expertise (relying on the most qualified individuals to make decisions); and (5) commitment to resilience (planning for potential failure and being prepared to respond).1,2,4 In addition to these, the Veterans Health Administration has identified 3 pillars of HROs: leadership commitment (safety and reliability are central to leadership vision, decision-making, and action-oriented behaviors), safety culture (across the organization, safety values are key to preventing harm and learning from mistakes), and continuous process improvement (promoting constant learning and improvement with evidence-based tools and methodologies).5
Implementing these principles is not enough to achieve high reliability. This transition requires significant change, which can be met with resistance. Without attending to organizational change, implementation of HRO principles can be superficial, scattered, and isolated.6 Large organizations often struggle with change as it conflicts with the fundamental human need for stability and security.7 Consequently, the journey to becoming an HRO requires an understanding of the reasons for resistance to change (RtC) as well as evidence-based strategies.
REASONS FOR RESISTANCE TO CHANGE
RtC is the informal and covert behavior of an individual or group to a particular change. RtC is commonly recognized as the failure of employees to do anything requested by managers and is a main reason change initiatives fail.8 While some staff see change as opportunities for learning and growth, others resist based on uncertainty about how the changes will impact their current work situation, or fear, frustration, confusion, and distrust.8,9 Resistance can overtly manifest with some staff publicly expressing their discontent in public without offering solutions, or covertly by ignoring the change or avoiding participation in any aspect of the change process. Both forms of RtC are equally detrimental.8
Frequent changes in organizations can also cause cynicism. Employees will view the change as something initially popular, but will only last until another change comes along.8,9 Resistance can result in the failure to achieve desired objectives, wasted time, effort, and resources, decreased momentum, and loss of confidence and trust in leaders to effectively manage the change process.9 To understand RtC, 3 main factors must be considered: individual, interpersonal, and organizational.
Individual
An individual’s personality can be an important indicator for how they will respond to change. Some individuals welcome and thrive on change while others resist in preference for the status quo.8,10 Individuals will also resist change if they believe their position, power, or prestige within the organization are in jeopardy or that the change is contrary to current personal or organizational values, principles, and objectives.8-12 Resistance can also be the result of uncertainty about what the change means, lack of information regarding the change, or questioning motives for the change.9
Interpersonal
Another influence on RtC is the interpersonal factors of employees. The personal satisfaction individuals receive from their work and the type of interactions they experience with colleagues can impact RtC. When communication with colleagues is lacking before and during change implementation, negative reactions to the change can fuel resistance.11 Cross-functional and bidirectional communication is vital; its absence can leave staff feeling inadequately informed and less supportive of the change.8 Employees’ understanding of changes through communication between other members of the organization is critical to success.11
Organizational
How organizational leaders introduce change affects the extent to which staff respond.10 RtC can emerge if staff feel change is imposed on them. Change is better received when people are actively engaged in the process and adopt a sense of ownership that will ultimately affect them and their role within the organization.12,13 Organizations are also better equipped to address potential RtC when leadership is respected and have a genuine concern for the overall well-being of staff members. Organizational leaders who mainly focus on the bottom line and have little regard for staff are more likely to be perceived as untrustworthy, which contributes to RtC.9,13 Lack of proper education and guidance from organizational leaders, as well as poor communication, can lead to RtC.8,13
MANAGING RESISTANCE TO CHANGE
RtC can be a significant factor in the success or failure of the change process. Poorly managed change can exponentially increase resistance, necessitating a multifaceted approach to managing RtC, while well-managed change can result in a high success rate. Evidence-based strategies to counter RtC focus on communication, employee participation, education and training, and engaging managers.8
Communication
Open and effective communication is critical to managing RtC, as uncertainty often exaggerates the negative aspects of change. Effective communication involves active listening, with leadership and management addressing employee concerns in a clear and concise manner. A psychologically safe culture for open dialogue is essential when addressing RtC.9,14,15 Psychological safety empowers staff to speak up, ask questions, and offer ideas, forming a solid basis for open and effective communication and participation. Leaders and managers should create opportunities for open dialogue for all members of the organization throughout the process. This can be accomplished with one-on-one meetings, open forums, town hall meetings, electronic mail, newsletters, and social media. Topics should cover the reasons for change, details of what is changing, the individual, organizational, and patient risks of not changing, as well as the benefits of changing.9 Encouraging staff to ask questions and provide feedback to promote bidirectional and closed-loop communication is essential to avoid misunderstandings.9,15 While open communication is essential, leaders must carefully plan what information to share, how much to share, and how to avoid information overload. Information about the change should be timely, adequate, applicable, and informative.15 The HRO practice of leader rounding for high reliability can be instrumental to ensure effective, bidirectional communication and collaboration among all disciplines across a health care organization through improving leadership visibility during times of change and enhancing interactions and communication with staff.3
Employee Participation
Involving staff in the change process significantly reduces RtC. Engagement fosters ownership in the change process, increasing the likelihood employees will support and even champion it. Health care professionals welcome opportunities to be involved in helping with aspects of organizational change, especially when invited to participate in the change early in the process and throughout the course of change.7,14,15
Leaders should encourage staff to provide feedback to understand the impact the change is having on them and their roles and responsibilities within the organization. This exemplifies the HRO principle of deference to expertise as the employee often has the most in-depth knowledge of their work setting. Employee perspectives can significantly influence the success of change initatives.7,14 Participation is impactful in providing employees with a sense of agency facilitating acceptance and improving desire to adopt the change.14
Tiered safety huddles and visual management systems (VMSs) also can engage staff. Tiered safety huddles provide a forum for transparent communication, increasing situational awareness, and improving a health care organization’s ability to appropriately respond to staff questions, suggestions, and concerns. VMSs display the status and progress toward organizational goals during the change process, and are highly effective in creating environments where staff feel empowered to voice concerns related to the change process.3
Education and Training
Educating employees on the value of change is crucial to overcome RtC. RtC often stems from employees not feeling prepared to adapt or adopt new processes. Health care professionals who do not receive information about change are less likely to support it.7,12,15 Staff are more likely to accept change when they understand why it is needed and how it impacts the organization’s long-term mission.11,15 Timely, compelling, and informative education on how to adapt to the change will promote more positive appraisal of the change and reduce RtC.8,15 Employees must feel confident they will receive the appropriate training, resources, and support to successfully adapt to the change. This requires leaders and managers taking time to clarify expectations, conduct a gap analysis to identify the skills and knowledge needed to support the planned change, and provide sufficient educational opportunities to fill those gaps.8 For example, the US Department of Veterans Affairs offers classes to employees on the Prosci ADKAR (Awareness, Desire, Knowledge, Ability, and Reinforcement) Model. This training provides individuals with the information and skills needed for change to be successful.16
Safety forums can be influential and allow leadership to educate staff on updates related to change processes and promote bidirectional communication.3 In safety forums, staff have an opportunity to ask questions, especially as they relate to learning about available resources to become more informed about the organizational changes.
Engaging Managers
Managers are pivotal to the successful implementation of organizational change.8 They serve as the bridge between senior leadership and frontline employees and are positioned to influence the adoption and success of change initiatives. Often the first point of contact for employees, managers can effectively communicate the need for change, and act as the liaison to align it with individual employee motivations. Since they are often the first to encounter resistance among employees, managers serve as advocates through the process. Through a coaching role, managers can help employees develop the knowledge and ability to be successful and thrive in the new environment. The Table summarizes the evidence-based strategies.

CONCLUSIONS
Implementing change in health care organizations can be challenging, especially on the journey to high reliability. RtC is the result of factors at the individual, interpersonal, and organizational levels that leaders must address to increase chances for success. Organizational changes in health care are more likely to succeed when staff understand why the change is needed through open and continuous communication, can influence the change by sharing their own perspectives, and have the knowledge, skills, and resources to prepare for and participate in the process.
- Merchant NB, O’Neal J, Dealing-Perez C, et al. A high-reliability organization mindset. Am J Med Qual. 2022;37:504-510. doi:10.1097/JMQ.0000000000000086
- Veazie S, Peterson K, Bourne D, et al. Implementing high-reliability organization principles into practice: a rapid evidence review. J Patient Saf. 2022;18:e320-e328. doi:10.1097/PTS.0000000000000768
- Murray JS, Baghdadi A, Dannenberg W, et al. The role of high reliability organization foundational practices in building a culture of safety. Fed Pract. 2024;41:214-221. doi:10.12788/fp.0486
- Ford J, Isaacks DB, Anderson T. Creating, executing and sustaining a high-reliability organization in health care. The Learning Organization: An International Journal. 2024;31:817-833. doi:10.1108/TLO-03-2023-0048
- Cox GR, Starr LM. VHA’s movement for change: implementing high-reliability principles and practices. J Healthc Manag. 2023;68:151-157. doi:10.1097/JHM-D-00056
- Myers CG, Sutcliffe KM. High reliability organising in healthcare: still a long way left to go. BMJ Qual Saf. 2022;31:845-848. doi:10.1136/bmjqs-2021-014141
- Nilsen P, Seing I, Ericsson C, et al. Characteristics of successful changes in health care organizations: an interview study with physicians, registered nurses and assistant nurses. BMC Health Serv Res. 2020;20:147. doi:10.1186/s12913-020-4999-8
- Cheraghi R, Ebrahimi H, Kheibar N, et al. Reasons for resistance to change in nursing: an integrative review. BMC Nurs. 2023;22:310. doi:10/1186/s12912-023-01460-0
- Warrick DD. Revisiting resistance to change and how to manage it: what has been learned and what organizations need to do. Bus Horiz. 2023;66:433-441. doi:10.1016/j.bushor.2022.09.001
- Sverdlik N, Oreg S. Beyond the individual-level conceptualization of dispositional resistance to change: multilevel effects on the response to organizational change. J Organ Behav. 2023;44:1066-1077. doi:10.1002/job.2678
- Khaw KW, Alnoor A, Al-Abrrow H, et al. Reactions towards organizational change: a systematic literature review. Curr Psychol. 2022;13:1-24. doi:10.1007/s12144-022-03070-6
- Pomare C, Churruca K, Long JC, et al. Organisational change in hospitals: a qualitative case-study of staff perspectives. BMC Health Serv Res. 2019;19:840. doi:10.1186/s12913-019-4704-y
- DuBose BM, Mayo AM. RtC: a concept analysis. Nurs Forum. 2020;55:631-636. doi:10.1111/nuf.12479
- Sahay S, Goldthwaite C. Participatory practices during organizational change: rethinking participation and resistance. Manag Commun Q. 2024;38(2):279-306. doi:10.1177/08933189231187883
- Damawan AH, Azizah S. Resistance to change: causes and strategies as an organizational challenge. ASSEHR. 2020;395(2020):49-53. doi:10.2991/assehr.k.200120.010
- Wong Q, Lacombe M, Keller R, et al. Leading change with ADKAR. Nurs Manage. 2019;50:28-35. doi:10.1097/01.NUMA.0000554341.70508.75
- Merchant NB, O’Neal J, Dealing-Perez C, et al. A high-reliability organization mindset. Am J Med Qual. 2022;37:504-510. doi:10.1097/JMQ.0000000000000086
- Veazie S, Peterson K, Bourne D, et al. Implementing high-reliability organization principles into practice: a rapid evidence review. J Patient Saf. 2022;18:e320-e328. doi:10.1097/PTS.0000000000000768
- Murray JS, Baghdadi A, Dannenberg W, et al. The role of high reliability organization foundational practices in building a culture of safety. Fed Pract. 2024;41:214-221. doi:10.12788/fp.0486
- Ford J, Isaacks DB, Anderson T. Creating, executing and sustaining a high-reliability organization in health care. The Learning Organization: An International Journal. 2024;31:817-833. doi:10.1108/TLO-03-2023-0048
- Cox GR, Starr LM. VHA’s movement for change: implementing high-reliability principles and practices. J Healthc Manag. 2023;68:151-157. doi:10.1097/JHM-D-00056
- Myers CG, Sutcliffe KM. High reliability organising in healthcare: still a long way left to go. BMJ Qual Saf. 2022;31:845-848. doi:10.1136/bmjqs-2021-014141
- Nilsen P, Seing I, Ericsson C, et al. Characteristics of successful changes in health care organizations: an interview study with physicians, registered nurses and assistant nurses. BMC Health Serv Res. 2020;20:147. doi:10.1186/s12913-020-4999-8
- Cheraghi R, Ebrahimi H, Kheibar N, et al. Reasons for resistance to change in nursing: an integrative review. BMC Nurs. 2023;22:310. doi:10/1186/s12912-023-01460-0
- Warrick DD. Revisiting resistance to change and how to manage it: what has been learned and what organizations need to do. Bus Horiz. 2023;66:433-441. doi:10.1016/j.bushor.2022.09.001
- Sverdlik N, Oreg S. Beyond the individual-level conceptualization of dispositional resistance to change: multilevel effects on the response to organizational change. J Organ Behav. 2023;44:1066-1077. doi:10.1002/job.2678
- Khaw KW, Alnoor A, Al-Abrrow H, et al. Reactions towards organizational change: a systematic literature review. Curr Psychol. 2022;13:1-24. doi:10.1007/s12144-022-03070-6
- Pomare C, Churruca K, Long JC, et al. Organisational change in hospitals: a qualitative case-study of staff perspectives. BMC Health Serv Res. 2019;19:840. doi:10.1186/s12913-019-4704-y
- DuBose BM, Mayo AM. RtC: a concept analysis. Nurs Forum. 2020;55:631-636. doi:10.1111/nuf.12479
- Sahay S, Goldthwaite C. Participatory practices during organizational change: rethinking participation and resistance. Manag Commun Q. 2024;38(2):279-306. doi:10.1177/08933189231187883
- Damawan AH, Azizah S. Resistance to change: causes and strategies as an organizational challenge. ASSEHR. 2020;395(2020):49-53. doi:10.2991/assehr.k.200120.010
- Wong Q, Lacombe M, Keller R, et al. Leading change with ADKAR. Nurs Manage. 2019;50:28-35. doi:10.1097/01.NUMA.0000554341.70508.75
Managing Resistance to Change Along the Journey to High Reliability
Managing Resistance to Change Along the Journey to High Reliability
Alcohol and CRC: These Drinking Patterns May Influence Risk
Alcohol and CRC: These Drinking Patterns May Influence Risk
New research sheds light on how chronic heavy alcohol use may contribute to colorectal cancer (CRC) development and how quitting may lower the risk for precancerous colorectal adenomas.
In a large US cancer screening trial, current heavy drinkers — with an average lifetime alcohol intake of 14 or more drinks per week — had a 25% higher risk for CRC and an almost twofold higher risk for rectal cancer than light drinkers averaging less than one drink per week.
When the research team further considered drinking consistency, steady heavy drinking throughout adulthood was associated with a 91% higher risk for CRC than consistent light drinking.
Additionally, no increased risk for CRC was found among former drinkers, and former drinkers were less likely than light drinkers to develop nonadvanced colorectal adenomas.
This analysis “adds to the growing amount of concerning literature showing that chronic heavy alcohol use can potentially contribute to colorectal cancer development,” Benjamin H. Levy III, MD, gastroenterologist and clinical associate of medicine at UChicago Medicine in Chicago, who wasn’t involved in the study, told Medscape Medical News.
The study’s co-senior author, Erikka Loftfield, PhD, MPH, also noted that the study “provides new evidence indicating that drinking cessation, compared to consistent light drinking, may lower adenoma risk.”
Current cancer prevention guidelines recommend limiting alcohol intake or ideally not drinking at all, and “our findings do not change this advice,” said Loftfield, with the National Cancer Institute (NCI) in Bethesda, Maryland.
The study was published online on January 26 in the journal Cancer.
Addressing a Data Gap
Alcoholic beverages are classified as carcinogenic to humans and are causally associated with CRC, Loftfield told Medscape Medical News. However, much of the evidence for this comes from cohort studies that only measure recent drinking patterns, generally among older adults, at study baseline. Fewer studies have looked at how drinking over a person’s lifetime and alcohol consumption patterns relate to colorectal adenoma and CRC risk, she explained.
To address these gaps, Loftfield and colleagues leveraged data on alcohol intake gathered as part of the NCI’s Prostate, Long, Colorectal, and Ovarian Cancer Screening Trial.
Average lifetime alcohol intake was calculated as drinks per week from age 18 through study baseline, and drinking patterns were further classified based on consistency and intensity over time.
During 20 years of follow-up, 1679 incident CRC cases occurred among 88,092 study participants. In multivariable-adjusted analyses, current heavy drinkers had a higher risk for CRC than those averaging less than one drink per week (hazard ratio [HR], 1.25), with the strongest association observed for rectal cancer (HR, 1.95).
“The increase in rectal cancer risk for heavy drinkers seen in this 20-year observational study was especially concerning,” Levy told Medscape Medical News.
What About Moderate Drinking?
Perhaps counterintuitively, moderate current drinkers (those consuming an average of 7 to less than 14 drinks per week) had a lower risk for CRC (HR, 0.79), especially distal colon cancer (HR, 0.64), than light drinkers.
Loftfield said that research in rodents suggests moderate alcohol intake may reduce inflammation and lower DNA damage, but it’s possible that the observed inverse association is due to residual confounding by unmeasured or poorly measured confounders, such as socioeconomic status.
She said it’s also important to note that the inverse association of moderate alcohol intake was strongest for distal colon cancer and in the screening arm of the trial. Those in the screening arm who screened positive with flexible sigmoidoscopy had polyps removed and were referred for colonoscopy during the trial period, making screening a potential intervention as well.
“Screening with flexible sigmoidoscopy has previously been found to decrease CRC incidence, specifically distal colon cancer, in this population. Thus, it is possible that better adherence to screening among moderate drinkers over the course of follow-up contributed to this finding,” Loftfield explained.
When looking at consistency of drinking, her team found that current drinkers who were consistent heavy drinkers throughout adulthood had a higher risk for CRC than consistent light drinkers (HR, 1.91).
Separate analyses of incident colorectal adenomas were directionally consistent with the CRC findings. These analyses included 12,327 participants with a negative baseline sigmoidoscopy, among whom 812 adenomas were detected on repeat screening.
Compared with current light drinkers, former drinkers had significantly lower odds of nonadvanced adenomas (odds ratio [OR], 0.58), but no significant association was observed for advanced adenomas (OR, 1.08; 95% CI, 0.62-1.90). The authors cautioned, however, that overall adenoma case numbers were limited, and estimates for advanced lesions were imprecise.
Educating Patients
Reached for comment, William Dahut, chief scientific officer for the American Cancer Society, told Medscape Medical News that this “very well done, large perspective study clearly demonstrates the significant increased risk of colorectal cancer for those that are heavy drinkers.”
He noted that the nearly twofold increased risk for rectal cancer among heavy drinkers “makes biological sense because the rectum is the area of the body where the toxins produced by alcohol potentially spend the most period of time.”
Heavy drinkers are at the highest risk, Dahut said, and “for them, screenings are particularly important.”
Even with this growing body of evidence, Levy noted that many patients in America and worldwide “have not been educated yet about the potential carcinogenic dangers of chronic alcohol use.”
Levy recommended that physicians get “accurate social histories about alcohol use” and “spend several minutes educating patients about their increased risk of cancer and liver problems from heavy alcohol use.”
Dahut encouraged health providers to tell patients that the risk for CRC from alcohol is also based on one’s lifetime alcohol consumption, “not simply what they had last weekend.”
Overall, this important research study, along with the Surgeon General’s recent publication about Alcohol and Cancer Risk, will hopefully “encourage physicians to have important conversations about alcohol reduction with their patients,” Levy said.
The study had no commercial funding. Loftfield, Dahult, and Levy reported no relevant disclosures.
A version of this article first appeared on Medscape.com.
New research sheds light on how chronic heavy alcohol use may contribute to colorectal cancer (CRC) development and how quitting may lower the risk for precancerous colorectal adenomas.
In a large US cancer screening trial, current heavy drinkers — with an average lifetime alcohol intake of 14 or more drinks per week — had a 25% higher risk for CRC and an almost twofold higher risk for rectal cancer than light drinkers averaging less than one drink per week.
When the research team further considered drinking consistency, steady heavy drinking throughout adulthood was associated with a 91% higher risk for CRC than consistent light drinking.
Additionally, no increased risk for CRC was found among former drinkers, and former drinkers were less likely than light drinkers to develop nonadvanced colorectal adenomas.
This analysis “adds to the growing amount of concerning literature showing that chronic heavy alcohol use can potentially contribute to colorectal cancer development,” Benjamin H. Levy III, MD, gastroenterologist and clinical associate of medicine at UChicago Medicine in Chicago, who wasn’t involved in the study, told Medscape Medical News.
The study’s co-senior author, Erikka Loftfield, PhD, MPH, also noted that the study “provides new evidence indicating that drinking cessation, compared to consistent light drinking, may lower adenoma risk.”
Current cancer prevention guidelines recommend limiting alcohol intake or ideally not drinking at all, and “our findings do not change this advice,” said Loftfield, with the National Cancer Institute (NCI) in Bethesda, Maryland.
The study was published online on January 26 in the journal Cancer.
Addressing a Data Gap
Alcoholic beverages are classified as carcinogenic to humans and are causally associated with CRC, Loftfield told Medscape Medical News. However, much of the evidence for this comes from cohort studies that only measure recent drinking patterns, generally among older adults, at study baseline. Fewer studies have looked at how drinking over a person’s lifetime and alcohol consumption patterns relate to colorectal adenoma and CRC risk, she explained.
To address these gaps, Loftfield and colleagues leveraged data on alcohol intake gathered as part of the NCI’s Prostate, Long, Colorectal, and Ovarian Cancer Screening Trial.
Average lifetime alcohol intake was calculated as drinks per week from age 18 through study baseline, and drinking patterns were further classified based on consistency and intensity over time.
During 20 years of follow-up, 1679 incident CRC cases occurred among 88,092 study participants. In multivariable-adjusted analyses, current heavy drinkers had a higher risk for CRC than those averaging less than one drink per week (hazard ratio [HR], 1.25), with the strongest association observed for rectal cancer (HR, 1.95).
“The increase in rectal cancer risk for heavy drinkers seen in this 20-year observational study was especially concerning,” Levy told Medscape Medical News.
What About Moderate Drinking?
Perhaps counterintuitively, moderate current drinkers (those consuming an average of 7 to less than 14 drinks per week) had a lower risk for CRC (HR, 0.79), especially distal colon cancer (HR, 0.64), than light drinkers.
Loftfield said that research in rodents suggests moderate alcohol intake may reduce inflammation and lower DNA damage, but it’s possible that the observed inverse association is due to residual confounding by unmeasured or poorly measured confounders, such as socioeconomic status.
She said it’s also important to note that the inverse association of moderate alcohol intake was strongest for distal colon cancer and in the screening arm of the trial. Those in the screening arm who screened positive with flexible sigmoidoscopy had polyps removed and were referred for colonoscopy during the trial period, making screening a potential intervention as well.
“Screening with flexible sigmoidoscopy has previously been found to decrease CRC incidence, specifically distal colon cancer, in this population. Thus, it is possible that better adherence to screening among moderate drinkers over the course of follow-up contributed to this finding,” Loftfield explained.
When looking at consistency of drinking, her team found that current drinkers who were consistent heavy drinkers throughout adulthood had a higher risk for CRC than consistent light drinkers (HR, 1.91).
Separate analyses of incident colorectal adenomas were directionally consistent with the CRC findings. These analyses included 12,327 participants with a negative baseline sigmoidoscopy, among whom 812 adenomas were detected on repeat screening.
Compared with current light drinkers, former drinkers had significantly lower odds of nonadvanced adenomas (odds ratio [OR], 0.58), but no significant association was observed for advanced adenomas (OR, 1.08; 95% CI, 0.62-1.90). The authors cautioned, however, that overall adenoma case numbers were limited, and estimates for advanced lesions were imprecise.
Educating Patients
Reached for comment, William Dahut, chief scientific officer for the American Cancer Society, told Medscape Medical News that this “very well done, large perspective study clearly demonstrates the significant increased risk of colorectal cancer for those that are heavy drinkers.”
He noted that the nearly twofold increased risk for rectal cancer among heavy drinkers “makes biological sense because the rectum is the area of the body where the toxins produced by alcohol potentially spend the most period of time.”
Heavy drinkers are at the highest risk, Dahut said, and “for them, screenings are particularly important.”
Even with this growing body of evidence, Levy noted that many patients in America and worldwide “have not been educated yet about the potential carcinogenic dangers of chronic alcohol use.”
Levy recommended that physicians get “accurate social histories about alcohol use” and “spend several minutes educating patients about their increased risk of cancer and liver problems from heavy alcohol use.”
Dahut encouraged health providers to tell patients that the risk for CRC from alcohol is also based on one’s lifetime alcohol consumption, “not simply what they had last weekend.”
Overall, this important research study, along with the Surgeon General’s recent publication about Alcohol and Cancer Risk, will hopefully “encourage physicians to have important conversations about alcohol reduction with their patients,” Levy said.
The study had no commercial funding. Loftfield, Dahult, and Levy reported no relevant disclosures.
A version of this article first appeared on Medscape.com.
New research sheds light on how chronic heavy alcohol use may contribute to colorectal cancer (CRC) development and how quitting may lower the risk for precancerous colorectal adenomas.
In a large US cancer screening trial, current heavy drinkers — with an average lifetime alcohol intake of 14 or more drinks per week — had a 25% higher risk for CRC and an almost twofold higher risk for rectal cancer than light drinkers averaging less than one drink per week.
When the research team further considered drinking consistency, steady heavy drinking throughout adulthood was associated with a 91% higher risk for CRC than consistent light drinking.
Additionally, no increased risk for CRC was found among former drinkers, and former drinkers were less likely than light drinkers to develop nonadvanced colorectal adenomas.
This analysis “adds to the growing amount of concerning literature showing that chronic heavy alcohol use can potentially contribute to colorectal cancer development,” Benjamin H. Levy III, MD, gastroenterologist and clinical associate of medicine at UChicago Medicine in Chicago, who wasn’t involved in the study, told Medscape Medical News.
The study’s co-senior author, Erikka Loftfield, PhD, MPH, also noted that the study “provides new evidence indicating that drinking cessation, compared to consistent light drinking, may lower adenoma risk.”
Current cancer prevention guidelines recommend limiting alcohol intake or ideally not drinking at all, and “our findings do not change this advice,” said Loftfield, with the National Cancer Institute (NCI) in Bethesda, Maryland.
The study was published online on January 26 in the journal Cancer.
Addressing a Data Gap
Alcoholic beverages are classified as carcinogenic to humans and are causally associated with CRC, Loftfield told Medscape Medical News. However, much of the evidence for this comes from cohort studies that only measure recent drinking patterns, generally among older adults, at study baseline. Fewer studies have looked at how drinking over a person’s lifetime and alcohol consumption patterns relate to colorectal adenoma and CRC risk, she explained.
To address these gaps, Loftfield and colleagues leveraged data on alcohol intake gathered as part of the NCI’s Prostate, Long, Colorectal, and Ovarian Cancer Screening Trial.
Average lifetime alcohol intake was calculated as drinks per week from age 18 through study baseline, and drinking patterns were further classified based on consistency and intensity over time.
During 20 years of follow-up, 1679 incident CRC cases occurred among 88,092 study participants. In multivariable-adjusted analyses, current heavy drinkers had a higher risk for CRC than those averaging less than one drink per week (hazard ratio [HR], 1.25), with the strongest association observed for rectal cancer (HR, 1.95).
“The increase in rectal cancer risk for heavy drinkers seen in this 20-year observational study was especially concerning,” Levy told Medscape Medical News.
What About Moderate Drinking?
Perhaps counterintuitively, moderate current drinkers (those consuming an average of 7 to less than 14 drinks per week) had a lower risk for CRC (HR, 0.79), especially distal colon cancer (HR, 0.64), than light drinkers.
Loftfield said that research in rodents suggests moderate alcohol intake may reduce inflammation and lower DNA damage, but it’s possible that the observed inverse association is due to residual confounding by unmeasured or poorly measured confounders, such as socioeconomic status.
She said it’s also important to note that the inverse association of moderate alcohol intake was strongest for distal colon cancer and in the screening arm of the trial. Those in the screening arm who screened positive with flexible sigmoidoscopy had polyps removed and were referred for colonoscopy during the trial period, making screening a potential intervention as well.
“Screening with flexible sigmoidoscopy has previously been found to decrease CRC incidence, specifically distal colon cancer, in this population. Thus, it is possible that better adherence to screening among moderate drinkers over the course of follow-up contributed to this finding,” Loftfield explained.
When looking at consistency of drinking, her team found that current drinkers who were consistent heavy drinkers throughout adulthood had a higher risk for CRC than consistent light drinkers (HR, 1.91).
Separate analyses of incident colorectal adenomas were directionally consistent with the CRC findings. These analyses included 12,327 participants with a negative baseline sigmoidoscopy, among whom 812 adenomas were detected on repeat screening.
Compared with current light drinkers, former drinkers had significantly lower odds of nonadvanced adenomas (odds ratio [OR], 0.58), but no significant association was observed for advanced adenomas (OR, 1.08; 95% CI, 0.62-1.90). The authors cautioned, however, that overall adenoma case numbers were limited, and estimates for advanced lesions were imprecise.
Educating Patients
Reached for comment, William Dahut, chief scientific officer for the American Cancer Society, told Medscape Medical News that this “very well done, large perspective study clearly demonstrates the significant increased risk of colorectal cancer for those that are heavy drinkers.”
He noted that the nearly twofold increased risk for rectal cancer among heavy drinkers “makes biological sense because the rectum is the area of the body where the toxins produced by alcohol potentially spend the most period of time.”
Heavy drinkers are at the highest risk, Dahut said, and “for them, screenings are particularly important.”
Even with this growing body of evidence, Levy noted that many patients in America and worldwide “have not been educated yet about the potential carcinogenic dangers of chronic alcohol use.”
Levy recommended that physicians get “accurate social histories about alcohol use” and “spend several minutes educating patients about their increased risk of cancer and liver problems from heavy alcohol use.”
Dahut encouraged health providers to tell patients that the risk for CRC from alcohol is also based on one’s lifetime alcohol consumption, “not simply what they had last weekend.”
Overall, this important research study, along with the Surgeon General’s recent publication about Alcohol and Cancer Risk, will hopefully “encourage physicians to have important conversations about alcohol reduction with their patients,” Levy said.
The study had no commercial funding. Loftfield, Dahult, and Levy reported no relevant disclosures.
A version of this article first appeared on Medscape.com.
Alcohol and CRC: These Drinking Patterns May Influence Risk
Alcohol and CRC: These Drinking Patterns May Influence Risk
Teen Exercise May Reshape Breast Cancer Risk
Teen Exercise May Reshape Breast Cancer Risk
TOPLINE:
New research examining recreational physical activity’s relationship with breast tissue composition, oxidative stress, and inflammation in adolescent girls revealed potential pathways for cancer risk reduction.
METHODOLOGY:
- Recent research shows 12-22% lower risk for breast cancer among highly active women, but the biological mechanisms explaining this remain unclear. Breast tissue composition, particularly mammographic density, is one of the strongest predictors of breast cancer risk, and breast tissue composition tracks across the life course.
- Researchers analyzed data from a population-based urban cohort of 191 Black/African American and Hispanic (Dominican) adolescent girls aged 11-20 years.
- Participants reported organized and unorganized recreational physical activity in the past week, categorized as none, < 2 hours, or ≥ 2 hours.
- Optical spectroscopy measured breast tissue composition through chromophores that are positively (percent water content and percent collagen content) or negatively (percent lipid content) correlated with mammographic breast density.
- Analysis included urinary concentrations of 15-F2-isoprostane for oxidative stress and blood biomarkers of inflammation including TNF-alpha, interleukin-6, and high-sensitivity C-reactive protein.
TAKEAWAY:
- Fifty-one percent of adolescent girls reported no past-week engagement in any type of recreational physical activity, with 73% reporting no participation in organized activities and 66% reporting no participation in unorganized activities.
- Girls engaging in at least 2 hours of organized recreational physical activity vs none showed lower percent water content in breast tissue (beta coefficient, -0.41; 95% CI, -0.77 to -0.05) and lower urinary concentrations of 15-F2-isoprostane (beta coefficient, -0.50; 95% CI, -0.95 to -0.05).
- Higher urinary concentrations of 15-F2-isoprostane were associated with higher percent collagen content in breast tissue (beta coefficient, 0.15; 95% CI, 0.00-0.31).
- No associations were found between recreational physical activity and inflammatory biomarkers, and these biomarkers showed no association with breast tissue composition after adjusting for percent body fat.
IN PRACTICE:
“These findings support that recreational physical activity is associated with breast tissue composition and oxidative stress in adolescent girls, independent of body fat. Additional longitudinal research is needed to understand the implications of these findings regarding subsequent breast cancer risk,” the authors of the study wrote.
SOURCE:
The study was led by Rebecca D. Kehm, PhD, Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City. It was published online in Breast Cancer Research.
LIMITATIONS:
Recreational physical activity was assessed using self-reported data capturing only a 1-week timeframe, which may not fully reflect habitual patterns and is susceptible to measurement error. The cross-sectional nature of the analysis prevented establishing temporal relationships or causal inferences. The relatively small sample size limited statistical power, though researchers were able to detect modest associations. The findings may not be generalizable to populations with different demographics or higher levels of physical activity because recreational physical activity was notably low in this cohort. Additionally, while several validated biomarkers were examined, other mechanisms such as hormonal regulation and insulin sensitivity may also be important for understanding the relationship between adolescent physical activity and breast cancer risk.
DISCLOSURES:
The study received support from the National Institute of Environmental Health Sciences through grants U01ES026122 and P30ES009089, as well as grant ROICA263024 from the National Cancer Institute.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.
A version of this article first appeared on Medscape.com.
TOPLINE:
New research examining recreational physical activity’s relationship with breast tissue composition, oxidative stress, and inflammation in adolescent girls revealed potential pathways for cancer risk reduction.
METHODOLOGY:
- Recent research shows 12-22% lower risk for breast cancer among highly active women, but the biological mechanisms explaining this remain unclear. Breast tissue composition, particularly mammographic density, is one of the strongest predictors of breast cancer risk, and breast tissue composition tracks across the life course.
- Researchers analyzed data from a population-based urban cohort of 191 Black/African American and Hispanic (Dominican) adolescent girls aged 11-20 years.
- Participants reported organized and unorganized recreational physical activity in the past week, categorized as none, < 2 hours, or ≥ 2 hours.
- Optical spectroscopy measured breast tissue composition through chromophores that are positively (percent water content and percent collagen content) or negatively (percent lipid content) correlated with mammographic breast density.
- Analysis included urinary concentrations of 15-F2-isoprostane for oxidative stress and blood biomarkers of inflammation including TNF-alpha, interleukin-6, and high-sensitivity C-reactive protein.
TAKEAWAY:
- Fifty-one percent of adolescent girls reported no past-week engagement in any type of recreational physical activity, with 73% reporting no participation in organized activities and 66% reporting no participation in unorganized activities.
- Girls engaging in at least 2 hours of organized recreational physical activity vs none showed lower percent water content in breast tissue (beta coefficient, -0.41; 95% CI, -0.77 to -0.05) and lower urinary concentrations of 15-F2-isoprostane (beta coefficient, -0.50; 95% CI, -0.95 to -0.05).
- Higher urinary concentrations of 15-F2-isoprostane were associated with higher percent collagen content in breast tissue (beta coefficient, 0.15; 95% CI, 0.00-0.31).
- No associations were found between recreational physical activity and inflammatory biomarkers, and these biomarkers showed no association with breast tissue composition after adjusting for percent body fat.
IN PRACTICE:
“These findings support that recreational physical activity is associated with breast tissue composition and oxidative stress in adolescent girls, independent of body fat. Additional longitudinal research is needed to understand the implications of these findings regarding subsequent breast cancer risk,” the authors of the study wrote.
SOURCE:
The study was led by Rebecca D. Kehm, PhD, Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City. It was published online in Breast Cancer Research.
LIMITATIONS:
Recreational physical activity was assessed using self-reported data capturing only a 1-week timeframe, which may not fully reflect habitual patterns and is susceptible to measurement error. The cross-sectional nature of the analysis prevented establishing temporal relationships or causal inferences. The relatively small sample size limited statistical power, though researchers were able to detect modest associations. The findings may not be generalizable to populations with different demographics or higher levels of physical activity because recreational physical activity was notably low in this cohort. Additionally, while several validated biomarkers were examined, other mechanisms such as hormonal regulation and insulin sensitivity may also be important for understanding the relationship between adolescent physical activity and breast cancer risk.
DISCLOSURES:
The study received support from the National Institute of Environmental Health Sciences through grants U01ES026122 and P30ES009089, as well as grant ROICA263024 from the National Cancer Institute.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.
A version of this article first appeared on Medscape.com.
TOPLINE:
New research examining recreational physical activity’s relationship with breast tissue composition, oxidative stress, and inflammation in adolescent girls revealed potential pathways for cancer risk reduction.
METHODOLOGY:
- Recent research shows 12-22% lower risk for breast cancer among highly active women, but the biological mechanisms explaining this remain unclear. Breast tissue composition, particularly mammographic density, is one of the strongest predictors of breast cancer risk, and breast tissue composition tracks across the life course.
- Researchers analyzed data from a population-based urban cohort of 191 Black/African American and Hispanic (Dominican) adolescent girls aged 11-20 years.
- Participants reported organized and unorganized recreational physical activity in the past week, categorized as none, < 2 hours, or ≥ 2 hours.
- Optical spectroscopy measured breast tissue composition through chromophores that are positively (percent water content and percent collagen content) or negatively (percent lipid content) correlated with mammographic breast density.
- Analysis included urinary concentrations of 15-F2-isoprostane for oxidative stress and blood biomarkers of inflammation including TNF-alpha, interleukin-6, and high-sensitivity C-reactive protein.
TAKEAWAY:
- Fifty-one percent of adolescent girls reported no past-week engagement in any type of recreational physical activity, with 73% reporting no participation in organized activities and 66% reporting no participation in unorganized activities.
- Girls engaging in at least 2 hours of organized recreational physical activity vs none showed lower percent water content in breast tissue (beta coefficient, -0.41; 95% CI, -0.77 to -0.05) and lower urinary concentrations of 15-F2-isoprostane (beta coefficient, -0.50; 95% CI, -0.95 to -0.05).
- Higher urinary concentrations of 15-F2-isoprostane were associated with higher percent collagen content in breast tissue (beta coefficient, 0.15; 95% CI, 0.00-0.31).
- No associations were found between recreational physical activity and inflammatory biomarkers, and these biomarkers showed no association with breast tissue composition after adjusting for percent body fat.
IN PRACTICE:
“These findings support that recreational physical activity is associated with breast tissue composition and oxidative stress in adolescent girls, independent of body fat. Additional longitudinal research is needed to understand the implications of these findings regarding subsequent breast cancer risk,” the authors of the study wrote.
SOURCE:
The study was led by Rebecca D. Kehm, PhD, Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City. It was published online in Breast Cancer Research.
LIMITATIONS:
Recreational physical activity was assessed using self-reported data capturing only a 1-week timeframe, which may not fully reflect habitual patterns and is susceptible to measurement error. The cross-sectional nature of the analysis prevented establishing temporal relationships or causal inferences. The relatively small sample size limited statistical power, though researchers were able to detect modest associations. The findings may not be generalizable to populations with different demographics or higher levels of physical activity because recreational physical activity was notably low in this cohort. Additionally, while several validated biomarkers were examined, other mechanisms such as hormonal regulation and insulin sensitivity may also be important for understanding the relationship between adolescent physical activity and breast cancer risk.
DISCLOSURES:
The study received support from the National Institute of Environmental Health Sciences through grants U01ES026122 and P30ES009089, as well as grant ROICA263024 from the National Cancer Institute.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.
A version of this article first appeared on Medscape.com.
Teen Exercise May Reshape Breast Cancer Risk
Teen Exercise May Reshape Breast Cancer Risk