User login
A small study suggests fitness trackers can be used to assess the quality of life and daily functioning of cancer patients during treatment.
Results indicated that objective data collected from these wearable activity monitors can supplement current assessments of health status and physical function.
This is important because current assessments are limited by their subjectivity and potential for bias, according to Gillian Gresham, PhD, of Cedars-Sinai Medical Center in Los Angeles, California.
Dr Gresham and her colleagues conducted this study and reported the results in npj Digital Medicine.
“One of the challenges in treating patients with advanced cancer is obtaining ongoing, timely, objective data about their physical status during therapy,” said study author Andrew Hendifar, MD, of Cedars-Sinai.
“After all, patients typically spend most of their time at home or work, not in a clinic, and their health statuses change from day to day.”
With this in mind, the researchers studied 37 patients undergoing treatment for advanced cancer at Cedars-Sinai.
The patients wore wrist-mounted fitness trackers throughout the study except when showering or swimming. These devices log the wearer’s step counts, stairs climbed, calories, heart rate, and sleep.
Sets of activity data were collected for 3 consecutive visits during treatment. After the final clinical visit, patients were followed for 6 months to gather additional clinical and survival outcomes.
The researchers compared data from the trackers with patients’ assessments of their own symptoms, including pain, fatigue, and sleep quality, as collected from a National Institutes of Health questionnaire.
These data sets were also compared with Eastern Cooperative Oncology Group Performance Status (ECOG-PS) and Karnofsky Performance Status (KPS) scores.
Results
Patients had a median age of 62 (range, 34-81), about 54% were male, and most (73%) had pancreatic cancer. On average, the patients walked 3700 steps (1.7 miles) per day, climbed 3 flights of stairs per day, and slept 8 hours per night.
The researchers found that activity metrics correlated with ECOG-PS and KPS scores. As scores increased, daily steps and flights of stairs decreased.
The team said the largest correlation coefficients (r) were observed between average steps and increasing ECOG-PS (r=0.63, P<0.01) and KPS (r=0.69, P<0.01) scores.
Patient-reported outcomes also correlated with activity metrics. Average steps were significantly (P<0.05 for all) associated with physical functioning (r=0.57), pain (r=—0.46), and fatigue (r=—0.53). There were significant associations for distance walked and stairs climbed as well.
Finally, the researchers observed an association between activity and grade 3/4 adverse events, hospitalizations, and survival.
An increase of 1000 steps per day, on average, was associated with significantly lower odds of hospitalization (odds ratio: 0.21, 95% CI 0.56, 0.79) and grade 3/4 adverse events (odds ratio: 0.34, 95% CI 0.13, 0.94) as well as increased survival (hazard ratio: 0.48, 95% CI 0.28, 0.83).
“Data gathered through advancements in technology has the potential to help physicians measure the impact of a particular treatment on a patient’s daily functioning,” Dr Gresham said. “Furthermore, continuous activity monitoring may help predict and monitor treatment complications and allow for more timely and appropriate interventions.”
As a next step, the researchers plan to study long-term use of activity monitors in a larger, more diverse group of advanced cancer patients and correlate that data with clinical and self-reported outcomes.
“Our hope is that findings from future studies with wearable activity monitors could lead to development of individualized treatment and exercise plans that may result in increased treatment tolerability and improved survival outcomes for patients,” Dr Hendifar said.
A small study suggests fitness trackers can be used to assess the quality of life and daily functioning of cancer patients during treatment.
Results indicated that objective data collected from these wearable activity monitors can supplement current assessments of health status and physical function.
This is important because current assessments are limited by their subjectivity and potential for bias, according to Gillian Gresham, PhD, of Cedars-Sinai Medical Center in Los Angeles, California.
Dr Gresham and her colleagues conducted this study and reported the results in npj Digital Medicine.
“One of the challenges in treating patients with advanced cancer is obtaining ongoing, timely, objective data about their physical status during therapy,” said study author Andrew Hendifar, MD, of Cedars-Sinai.
“After all, patients typically spend most of their time at home or work, not in a clinic, and their health statuses change from day to day.”
With this in mind, the researchers studied 37 patients undergoing treatment for advanced cancer at Cedars-Sinai.
The patients wore wrist-mounted fitness trackers throughout the study except when showering or swimming. These devices log the wearer’s step counts, stairs climbed, calories, heart rate, and sleep.
Sets of activity data were collected for 3 consecutive visits during treatment. After the final clinical visit, patients were followed for 6 months to gather additional clinical and survival outcomes.
The researchers compared data from the trackers with patients’ assessments of their own symptoms, including pain, fatigue, and sleep quality, as collected from a National Institutes of Health questionnaire.
These data sets were also compared with Eastern Cooperative Oncology Group Performance Status (ECOG-PS) and Karnofsky Performance Status (KPS) scores.
Results
Patients had a median age of 62 (range, 34-81), about 54% were male, and most (73%) had pancreatic cancer. On average, the patients walked 3700 steps (1.7 miles) per day, climbed 3 flights of stairs per day, and slept 8 hours per night.
The researchers found that activity metrics correlated with ECOG-PS and KPS scores. As scores increased, daily steps and flights of stairs decreased.
The team said the largest correlation coefficients (r) were observed between average steps and increasing ECOG-PS (r=0.63, P<0.01) and KPS (r=0.69, P<0.01) scores.
Patient-reported outcomes also correlated with activity metrics. Average steps were significantly (P<0.05 for all) associated with physical functioning (r=0.57), pain (r=—0.46), and fatigue (r=—0.53). There were significant associations for distance walked and stairs climbed as well.
Finally, the researchers observed an association between activity and grade 3/4 adverse events, hospitalizations, and survival.
An increase of 1000 steps per day, on average, was associated with significantly lower odds of hospitalization (odds ratio: 0.21, 95% CI 0.56, 0.79) and grade 3/4 adverse events (odds ratio: 0.34, 95% CI 0.13, 0.94) as well as increased survival (hazard ratio: 0.48, 95% CI 0.28, 0.83).
“Data gathered through advancements in technology has the potential to help physicians measure the impact of a particular treatment on a patient’s daily functioning,” Dr Gresham said. “Furthermore, continuous activity monitoring may help predict and monitor treatment complications and allow for more timely and appropriate interventions.”
As a next step, the researchers plan to study long-term use of activity monitors in a larger, more diverse group of advanced cancer patients and correlate that data with clinical and self-reported outcomes.
“Our hope is that findings from future studies with wearable activity monitors could lead to development of individualized treatment and exercise plans that may result in increased treatment tolerability and improved survival outcomes for patients,” Dr Hendifar said.
A small study suggests fitness trackers can be used to assess the quality of life and daily functioning of cancer patients during treatment.
Results indicated that objective data collected from these wearable activity monitors can supplement current assessments of health status and physical function.
This is important because current assessments are limited by their subjectivity and potential for bias, according to Gillian Gresham, PhD, of Cedars-Sinai Medical Center in Los Angeles, California.
Dr Gresham and her colleagues conducted this study and reported the results in npj Digital Medicine.
“One of the challenges in treating patients with advanced cancer is obtaining ongoing, timely, objective data about their physical status during therapy,” said study author Andrew Hendifar, MD, of Cedars-Sinai.
“After all, patients typically spend most of their time at home or work, not in a clinic, and their health statuses change from day to day.”
With this in mind, the researchers studied 37 patients undergoing treatment for advanced cancer at Cedars-Sinai.
The patients wore wrist-mounted fitness trackers throughout the study except when showering or swimming. These devices log the wearer’s step counts, stairs climbed, calories, heart rate, and sleep.
Sets of activity data were collected for 3 consecutive visits during treatment. After the final clinical visit, patients were followed for 6 months to gather additional clinical and survival outcomes.
The researchers compared data from the trackers with patients’ assessments of their own symptoms, including pain, fatigue, and sleep quality, as collected from a National Institutes of Health questionnaire.
These data sets were also compared with Eastern Cooperative Oncology Group Performance Status (ECOG-PS) and Karnofsky Performance Status (KPS) scores.
Results
Patients had a median age of 62 (range, 34-81), about 54% were male, and most (73%) had pancreatic cancer. On average, the patients walked 3700 steps (1.7 miles) per day, climbed 3 flights of stairs per day, and slept 8 hours per night.
The researchers found that activity metrics correlated with ECOG-PS and KPS scores. As scores increased, daily steps and flights of stairs decreased.
The team said the largest correlation coefficients (r) were observed between average steps and increasing ECOG-PS (r=0.63, P<0.01) and KPS (r=0.69, P<0.01) scores.
Patient-reported outcomes also correlated with activity metrics. Average steps were significantly (P<0.05 for all) associated with physical functioning (r=0.57), pain (r=—0.46), and fatigue (r=—0.53). There were significant associations for distance walked and stairs climbed as well.
Finally, the researchers observed an association between activity and grade 3/4 adverse events, hospitalizations, and survival.
An increase of 1000 steps per day, on average, was associated with significantly lower odds of hospitalization (odds ratio: 0.21, 95% CI 0.56, 0.79) and grade 3/4 adverse events (odds ratio: 0.34, 95% CI 0.13, 0.94) as well as increased survival (hazard ratio: 0.48, 95% CI 0.28, 0.83).
“Data gathered through advancements in technology has the potential to help physicians measure the impact of a particular treatment on a patient’s daily functioning,” Dr Gresham said. “Furthermore, continuous activity monitoring may help predict and monitor treatment complications and allow for more timely and appropriate interventions.”
As a next step, the researchers plan to study long-term use of activity monitors in a larger, more diverse group of advanced cancer patients and correlate that data with clinical and self-reported outcomes.
“Our hope is that findings from future studies with wearable activity monitors could lead to development of individualized treatment and exercise plans that may result in increased treatment tolerability and improved survival outcomes for patients,” Dr Hendifar said.