Dataset Information

Evaluating Muscle Mass in Survivors of Acute Respiratory Distress Syndrome: A 1-Year Multicenter Longitudinal Study.

ABSTRACT:

Objectives

Rapid muscle wasting occurs during acute respiratory failure, resulting in muscle weakness and functional impairments. This study examines survivors' body composition in the year after acute respiratory distress syndrome and tests associations of patient characteristics, hospital exposures, and survivors' strength and physical functioning with whole body percent lean mass.

Design

Prospective cohort study with 6- and 12-month follow-up.

Setting

National study enrolling patients from five study centers.

Patients

Acute respiratory distress syndrome survivors (n = 120).

Interventions

None.

Measurements and main results

Lean and fat mass from dual energy x-ray absorptiometry. On average, survivors gained whole body total mass (+1.4 kg; 0.1-2.7) and fat mass (+1.2 kg; 0.2-2.2) and maintained lean mass (+0.2 kg; -0.4 to 0.8) between 6 and 12 months. Proportionally, percent fat mass increased and percent lean mass decreased for the whole body, trunk, and legs (p < 0.05). Greater whole body percent lean mass was associated with younger age, male sex, and lower baseline body mass index, but not other patient characteristics or ICU/hospital exposures. Greater percent lean mass was also significantly associated with gait speed and 6-minute walk distance, but not volitional strength or self-reported functional status.

Conclusions

In the first year after acute respiratory distress syndrome, patients gained fat mass and maintained lean mass. We found no association of whole body percent lean mass with commonly hypothesized hospital risk factors. Direct measurement of body composition and performance-based functional measures may be helpful for understanding functional recovery in ICU survivors.

SUBMITTER: Chan KS

PROVIDER: S-EPMC6051433 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Evaluating Muscle Mass in Survivors of Acute Respiratory Distress Syndrome: A 1-Year Multicenter Longitudinal Study.

Chan Kitty S KS Mourtzakis Marina M Aronson Friedman Lisa L Dinglas Victor D VD Hough Catherine L CL Ely E Wesley EW Morris Peter E PE Hopkins Ramona O RO Needham Dale M DM

Critical care medicine 20180801 8

<h4>Objectives</h4>Rapid muscle wasting occurs during acute respiratory failure, resulting in muscle weakness and functional impairments. This study examines survivors' body composition in the year after acute respiratory distress syndrome and tests associations of patient characteristics, hospital exposures, and survivors' strength and physical functioning with whole body percent lean mass.<h4>Design</h4>Prospective cohort study with 6- and 12-month follow-up.<h4>Setting</h4>National study enro ...[more]

PMID: 29727365

Similar Datasets

Project description:BackgroundTo evaluate participant-related variables associated with missing assessment(s) at follow-up visits during a longitudinal research study.MethodsThis is a prospective, longitudinal, multi-site study of 196 acute respiratory distress syndrome (ARDS) survivors. More than 30 relevant sociodemographic, physical status, and mental health variables (representing participant characteristics prior to ARDS, at hospital discharge, and at the immediately preceding follow-up visit) were evaluated for association with missed assessments at 3, 6, 12, and 24-month follow-up visits (89-95% retention rates), using binomial logistic regression.ResultsMost participants were male (56%), white (58%), and ≤ high school education (64%). Sociodemographic characteristics were not associated with missed assessments at the initial 3-month visit or subsequent visits. The number of dependencies in Activities of Daily Living (ADLs) at hospital discharge was associated with higher odds of missed assessments at the initial visit (OR: 1.26, 95% CI: 1.12, 1.43). At subsequent 6-, 12-, and 24 months visits, post-hospital discharge physical and psychological status were not associated with subsequent missed assessments. Instead, the following were associated with lower odds of missed assessments: indicators of poorer health prior to hospital admission (inability to walk 5 min (OR: 0.46; 0.23, 0.91), unemployment due to health (OR: 0.47; 0.23, 0.96), and alcohol abuse (OR: 0.53; 0.28, 0.97)) and having the preceding visit at the research clinic rather than at home/facility, or by phone/mail (OR: 0.54; 0.31, 0.96). Inversely, variables associated with higher odds of missed assessments at subsequent visits include: functional dependency prior to hospital admission (i.e. dependency with > = 2 Instrumental Activities of Daily Living (IADLs) (OR: 1.96; 1.08, 3.52), and missing assessments at preceding visit (OR: 2.26; 1.35, 3.79).ConclusionsDuring the recovery process after hospital discharge, dependencies in physical functioning (e.g. ADLs, IADLs) prior to hospitalization and at hospital discharge were associated with higher odds of missed assessments. Conversely, other indicators of poorer health at baseline were associated with lower odds of missed assessments after the initial post-discharge visit. To reduce missing assessments, longitudinal clinical research studies may benefit from focusing additional resources on participants with dependencies in physical functioning prior to hospitalization and at hospital discharge.

Project description:RationaleNearly 60% of patients who are intubated in intensive care units (ICUs) experience dysphagia after extubation, and approximately 50% of them aspirate. Little is known about dysphagia recovery time after patients are discharged from the hospital.ObjectivesTo determine factors associated with recovery from dysphagia symptoms after hospital discharge for acute respiratory distress syndrome (ARDS) survivors who received oral intubation with mechanical ventilation.MethodsThis is a prospective, 5-year longitudinal cohort study involving 13 ICUs at four teaching hospitals in Baltimore, Maryland. The Sydney Swallowing Questionnaire (SSQ), a 17-item visual analog scale (range, 0-1,700), was used to quantify patient-perceived dysphagia symptoms at hospital discharge, and at 3, 6, 12, 24, 36, 48, and 60 months after ARDS. An SSQ score greater than or equal to 200 was used to indicate clinically important dysphagia symptoms at the time of hospital discharge. Recovery was defined as an SSQ score less than 200, with a decrease from hospital discharge greater than or equal to 119, the reliable change index for SSQ score. Fine and Gray proportional subdistribution hazards regression analysis was used to evaluate patient and ICU variables associated with time to recovery accounting for the competing risk of death.Measurements and main resultsThirty-seven (32%) of 115 patients had an SSQ score greater than or equal to 200 at hospital discharge; 3 died before recovery. All 34 remaining survivors recovered from dysphagia symptoms by 5-year follow-up, 7 (23%) after 6 months. ICU length of stay was independently associated with time to recovery, with a hazard ratio (95% confidence interval) of 0.96 (0.93-1.00) per day.ConclusionsOne-third of orally intubated ARDS survivors have dysphagia symptoms that persist beyond hospital discharge. Patients with a longer ICU length of stay have slower recovery from dysphagia symptoms and should be carefully considered for swallowing assessment to help prevent complications related to dysphagia.

Project description:To examine the reliability, validity, responsiveness, and minimal important difference of the 4-m gait speed test in acute respiratory distress syndrome survivors.Secondary analyses of data from two longitudinal follow-up studies of acute respiratory distress syndrome survivors. Test-retest and inter-rater reliability, construct validity (convergent, discriminant, and known group), predictive validity, and responsiveness were examined. The minimal important difference was estimated using anchor- and distribution-based approaches.A national multicenter prospective study (ARDSNet Long-Term Outcome Study) and a multisite prospective study in Baltimore, MD (Improving Care of Acute Lung Injury Patients).Acute respiratory distress syndrome survivors with 4-m gait speed assessment up to 60 months after acute respiratory distress syndrome (ARDSNet Long-Term Outcome Study, n = 184; Improving Care of Acute Lung Injury Patients, n = 122).Not applicable.Four-meter gait speed was assessed at 6- and 12-month follow-up (ARDSNet Long-Term Outcome Study) and 36-, 48-, and 60-month follow-up (Improving Care of Acute Lung Injury Patients). Excellent test-retest (intraclass correlation, 0.89-0.99 across studies and follow-up) and inter-rater (intraclass correlation, 0.97) reliability were found. Convergent validity was supported by moderate-to-strong correlations (69% of 32 > 0.40) with other physical function measures. Discriminant validity was supported by weak correlations (86% of 28 < 0.30) with mental health measures. Survivors with impaired versus nonimpaired measures of muscle strength and pulmonary function had significantly slower 4-m gait speed (all but one p < 0.05). Furthermore, 4-m gait speed significantly predicted future hospitalization and health-related quality of life. Gait speed changes were consistent with reported changes in function, supporting responsiveness. The estimated 4-m gait speed minimal important difference was 0.03-0.06 m/s.The 4-m gait speed is a reliable, valid, and responsive measure of physical function in acute respiratory distress syndrome survivors. The estimated minimal important difference will facilitate sample size calculations for clinical studies evaluating the 4-m gait speed test in acute respiratory distress syndrome survivors.

Dataset Information

Evaluating Muscle Mass in Survivors of Acute Respiratory Distress Syndrome: A 1-Year Multicenter Longitudinal Study.

Objectives

Design

Setting

Patients

Interventions

Measurements and main results

Conclusions

Publications

Evaluating Muscle Mass in Survivors of Acute Respiratory Distress Syndrome: A 1-Year Multicenter Longitudinal Study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets