Rehabilitation Therapy Allocation and Changes in Physical Function Among Patients Hospitalized Due to COVID-19: A Retrospective Cohort Analysis.

OBJECTIVE: Limited staffing and initial transmission concerns have limited rehabilitation services during the COVID-19 pandemic. The purpose of this analysis was to determine the associations between Activity Measure for Post-Acute Care (AM-PAC) mobility categories and allocation of rehabilitation, and in-hospital AM-PAC score change and receipt of rehabilitation services for patients with COVID-19. METHODS: This was a retrospective cohort study of electronic health record data from 1 urban hospital, including adults with a COVID-19 diagnosis, admitted August 2020 to April 2021. Patients were stratified by level of medical care (intensive care unit [ICU] and floor). Therapy allocation (referral for rehabilitation, receipt of rehabilitation, and visit frequency) was the primary outcome; change in AM-PAC score was secondary. AM-PAC Basic Mobility categories (None [21-24], Minimum [18-21], Moderate [10-17], and Maximum [6-9]) were the main predictor variable. Primary analysis included logistic and linear regression, adjusted for covariates. RESULTS: A total of 1397 patients (ICU: n = 360; floor: n = 1037) were included. AM-PAC mobility category was associated with therapy allocation outcomes for floor but not patients in the ICU: the Moderate category had greater adjusted odds of referral (adjusted odds ratio [aOR] = 10.88; 95% CI = 5.71-21.91), receipt of at least 1 visit (aOR = 3.45; 95% CI = 1.51-8.55), and visit frequency (percentage mean difference) (aOR = 42.14; 95% CI = 12.45-79.67). The secondary outcome of AM-PAC score improvement was highest for patients in the ICU who were given at least 1 rehabilitation therapy visit (aOR = 5.31; 95% CI = 1.90-15.52). CONCLUSION: AM-PAC mobility categories were associated with rehabilitation allocation outcomes for floor patients. AM-PAC score improvement was highest among patients requiring ICU-level care with at least 1 rehabilitation therapy visit. IMPACT: Use of AM-PAC Basic Mobility categories may help improve decisions for rehabilitation therapy allocation among patients who do not require critical care, particularly during times of limited resources.

Impact of Alcohol Misuse on Requirements for Critical Care Services and Development of Hospital Delirium in Patients With COVID-19 pneumonia.

Alcohol misuse has been associated with increased morbidity in the setting of pulmonary infections, including the need for critical care resource utilization and development of delirium. How alcohol misuse impacts morbidity and outcomes among patients admitted with COVID-19 pneumonia is not well described. We sought to determine if alcohol misuse was associated with an increased need for critical care resources and development of delirium among patients hospitalized with COVID-19 pneumonia. DESIGN: Retrospective cohort study. SETTING: Twelve University of Colorado hospitals between March 2020 and April 2021. PATIENTS: Adults with a COVID-19 diagnosis. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The primary outcome was admission to the ICU. Secondary outcomes included need for mechanical ventilation, development of delirium, and in-hospital mortality. Alcohol misuse was defined by International Classification of Diseases, 10th Revision codes. Of 5,979 patients hospitalized with COVID-19, 26% required ICU admission and 15.4% required mechanical ventilation. Delirium developed in 4.5% and 10.5% died during hospitalization. Alcohol misuse was identified in 4%. In analyses adjusted for age, sex, body mass index, diabetes, and liver disease, alcohol misuse was associated with increased odds of ICU admission (adjusted odds ratio [aOR], 1.46; p < 0.01), mechanical ventilation (aOR, 1.43; p = 0.03), and delirium (aOR, 5.55; p < 0.01) compared with patients without misuse. Mortality rates were not associated with alcohol misuse alone, although the presence of both alcohol misuse and in-hospital delirium significantly increased odds of in-hospital death (aOR, 2.60; p = 0.04). CONCLUSIONS: Among patients hospitalized with COVID-19, alcohol misuse was associated with increased utilization of critical care resources including ICU admission and mechanical ventilation. Delirium was an important modifiable risk factor associated with worse outcomes in hospitalized patients with alcohol misuse, including increased odds of death.

Impact of Alcohol Misuse on Requirements for Critical Care Services and Development of Hospital Delirium in Patients With COVID-19 pneumonia

OBJECTIVES: Alcohol misuse has been associated with increased morbidity in the setting of pulmonary infections, including the need for critical care resource utilization and development of delirium. How alcohol misuse impacts morbidity and outcomes among patients admitted with COVID-19 pneumonia is not well described. We sought to determine if alcohol misuse was associated with an increased need for critical care resources and development of delirium among patients hospitalized with COVID-19 pneumonia. DESIGN: Retrospective cohort study. SETTING: Twelve University of Colorado hospitals between March 2020 and April 2021. PATIENTS: Adults with a COVID-19 diagnosis. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The primary outcome was admission to the ICU. Secondary outcomes included need for mechanical ventilation, development of delirium, and in-hospital mortality. Alcohol misuse was defined by International Classification of Diseases, 10th Revision codes. Of 5,979 patients hospitalized with COVID-19, 26% required ICU admission and 15.4% required mechanical ventilation. Delirium developed in 4.5% and 10.5% died during hospitalization. Alcohol misuse was identified in 4%. In analyses adjusted for age, sex, body mass index, diabetes, and liver disease, alcohol misuse was associated with increased odds of ICU admission (adjusted odds ratio [aOR], 1.46;p < 0.01), mechanical ventilation (aOR, 1.43;p = 0.03), and delirium (aOR, 5.55;p < 0.01) compared with patients without misuse. Mortality rates were not associated with alcohol misuse alone, although the presence of both alcohol misuse and in-hospital delirium significantly increased odds of in-hospital death (aOR, 2.60;p = 0.04). CONCLUSIONS: Among patients hospitalized with COVID-19, alcohol misuse was associated with increased utilization of critical care resources including ICU admission and mechanical ventilation. Delirium was an important modifiable risk factor associated with worse outcomes in hospitalized patients with alcohol misuse, including increased odds of death.

Prospective telehealth analysis of functional performance, frailty, quality of life, and mental health after COVID-19 hospitalization.

BACKGROUND: COVID-19 is a global pandemic with poorly understood long-term consequences. Determining the trajectory of recovery following COVID-19 hospitalization is critical for prioritizing care, allocating resources, facilitating prognosis, and informing rehabilitation. The purpose of this study was to prospectively evaluate recovery following COVID-19 hospitalization. METHODS: Participants age 18 years or older who were hospitalized for ≥24 h due to COVID-19 completed phone/video call virtual assessments (including the 10-time chair rise test) and survey forms at three time points (2-6, 12, and 18 weeks) after hospital discharge. Univariate logistic and linear regression models assessed the associations of the outcomes with primary predictors (categorical age, sex, race/ethnicity group, and categorical pre-hospitalization frailty) at baseline; the same were used to assess differences in change from week 2-6 (continuous outcomes) or outcome persistence/worsening (categorical) at last contact. RESULTS: One hundred nine adults (age 53.0 [standard deviation 13.1]; 53% female) participated including 43 (39%) age 60 or greater; 59% identified as an ethnic and/or racial minority. Over 18 weeks, the mean time to complete the 10-time chair rise test decreased (i.e., improved) by 6.0 s (95% CI: 4.1, 7.9 s; p < 0.001); this change did not differ by pre-hospital frailty, race/ethnicity group, or sex, but those age ≥ 60 had greater improvement. At weeks 2-6, 67% of participants reported a worse Clinical Frailty Scale category compared to their pre-hospitalization level, whereas 42% reported a worse frailty score at 18 weeks. Participants who did not return to pre-hospitalization levels were more likely to be female, younger, and report a pre-hospitalization category of 'very fit' or 'well'. CONCLUSIONS: We found that functional performance improved from weeks 2-6 to 18 weeks of follow-up; that incident clinical frailty developed in some individuals following COVID-19; and that age, sex, race/ethnicity, and pre-hospitalization frailty status may impact recovery from COVID-19. Notably, individuals age 60 and older were more likely than those under age 45 years to return to their pre-hospitalization status and to make greater improvements in functional performance. The results of the present study provide insight into the trajectory of recovery among a representative cohort of individuals hospitalized due to COVID-19.

Disparities in the allocation of inpatient physical and occupational therapy services for patients with COVID-19.

BACKGROUND: Survivors of the novel coronavirus (COVID-19) experience significant morbidity with reduced physical function and impairments in activities of daily living. The use of in-hospital rehabilitation therapy may reduce long-term impairments. OBJECTIVE: To determine the frequency of therapy referral and treatment amongst hospitalized COVID-19 patients, assess for disparities in referral and receipt of therapy, and identify potentially modifiable factors contributing to disparities in therapy allocation. DESIGN, SETTING AND PARTICIPANTS: Retrospective cohort study using data collected from the University of Colorado Health Data Compass data warehouse assessing therapy referral rates and estimated delivery based on available administrative billing. MEASUREMENTS: Multivariable logistic regression was used to determine the association between sex and/or underrepresented minority race with therapy referral or delivery. RESULTS: Amongst 6239 COVID-19-related hospitalization, a therapy referral was present in 3952 patients (51.9%). Hispanic ethnicity was independently associated with lower odds of receipt of therapy referral (adjusted OR [aOR]: 0.78, 95% confidence interval [CI]: 0.67-0.93, p = .001). Advanced age (aOR: 1.53, 95% CI: 1.46-1.62, p < .001), greater COVID illness severity (aOR for intensive care unit admission: 1.63, 95% CI: 1.37-1.94, p < .01) and hospital stay (aOR: 1.14, 95% CI: 1.12-1.15, p < .01) were positively associated with referral. CONCLUSIONS AND RELEVANCE: In a cohort of patients hospitalized for COVID-19 across a multicenter healthcare system, we found that referral rates and delivery of physical therapy and/or occupational therapy sessions were significantly reduced for patients of Hispanic identity compared with patients of non-Hispanic, Caucasian identity after adjustment for potential confounding by available demographic and illness severity variables.

Predicting prognosis in COVID-19 patients using machine learning and readily available clinical data.

RATIONALE: Prognostic tools for aiding in the treatment of hospitalized COVID-19 patients could help improve outcome by identifying patients at higher or lower risk of severe disease. The study objective was to develop models to stratify patients by risk of severe outcomes during COVID-19 hospitalization using readily available information at hospital admission. METHODS: Hierarchical ensemble classification models were trained on a set of 229 patients hospitalized with COVID-19 to predict severe outcomes, including ICU admission, development of acute respiratory distress syndrome, or intubation, using easily attainable attributes including basic patient characteristics, vital signs at admission, and basic lab results collected at time of presentation. Each test stratifies patients into groups of increasing risk. An additional cohort of 330 patients was used for blinded, independent validation. Shapley value analysis evaluated which attributes contributed most to the models' predictions of risk. MAIN RESULTS: Test performance was assessed using precision (positive predictive value) and recall (sensitivity) of the final risk groups. All test cut-offs were fixed prior to blinded validation. In development and validation, the tests achieved precision in the lowest risk groups near or above 0.9. The proportion of patients with severe outcomes significantly increased across increasing risk groups. While the importance of attributes varied by test and patient, C-reactive protein, lactate dehydrogenase, and D-dimer were often found to be important in the assignment of risk. CONCLUSIONS: Risk of severe outcomes for patients hospitalized with COVID-19 infection can be assessed using machine learning-based models based on attributes routinely collected at hospital admission.

Elevated glycohemoglobin is linked to critical illness in CoVID-19: a retrospective analysis.

BACKGROUND: Several studies have explored hospitalization risk factors with the novel coronavirus disease 2019 (COVID-19) infection. Our goal was to identify clinical characteristics outside of laboratory or radiologic data associated with intubation or death within 7 days of admission. METHODS: The first 436 patients admitted to the University of Colorado Hospital (Denver metropolitan area) with confirmed COVID-19 were included. Demographics, comorbidities, and select medications were collected by chart abstraction. Missing height for calculating body mass index (BMI) was imputed using the median height for patients' sex and race/ethnicity. Adjusted odds ratios (aOR) were estimated using multivariable logistic regression and a minimax concave penalty (MCP) regularized logistic regression explored prediction. RESULTS: Participants had a mean [standard deviation (SD)] age 55 (17), BMI 30.9 (8.2), 55% were male and 80% were ethnic/racial minorities. Increasing age [aOR: 1.24 (1.07, 1.45) per 10 years], higher BMI (aOR 1.03 (1.00, 1.06), and poorly controlled diabetes [hemoglobin A1C (HbA1c) ⩾ 8] (aOR 2.26 (1.24, 4.12) were significantly (p < 0.05) associated with greater odds of intubation or death. Female sex [aOR: 0.63, 95% CI (0.40, 0.98); p value = 0.043] was associated with lesser odds of intubation or death. The odds of death and/or intubation increased 19% for every 1 unit increase in HbA1c value [OR: 1.19 (1.01, 1.43); p = 0.04]. Our final MCP model included indicators of A1C ⩾ 8, age > 65, sex, and minority status, but predicted intubation/death only slightly better than random chance [area under the receiver operating characteristic curve (AUC) = 0.61 (0.56, 0.67)]. CONCLUSION: In a hospitalized patient cohort with COVID-19, worsening control of diabetes as evidenced by higher HbA1c was associated with increased risk of intubation or death within 7 days of admission. These results complement and help clarify previous associations found between diabetes and acute disease in COVID-19. Importantly, our analysis is missing some known predictors of severity in COVID-19. Our predictive model had limited success, suggesting unmeasured factors contribute to disease severity differences.