Functional impact on adults and older people after hospitalization by Covid-19.

BACKGROUND AND OBJECTIVES: Hospitalization by Covid-19 can cause persistent functional consequences after hospital discharge due to direct and indirect effects of SARS-COV-2 in several organs and systems of the body added to post-intensive care syndrome and prolonged bed rest. These impacts can lead to dependency in activities of daily living, mainly in older people due to aging process and functional decline. This study aimed to compare the effects of hospitalization by Covid-19 on functional capacity of adults and older people and to identify its associated factors. METHODS: Cross-sectional observational study of 159 survivors of hospitalization by Covid-19 after 1 month from discharge at Hospital das Clínicas of the University of São Paulo, divided into groups: adults (aged < 60 years) and older people (aged ≥ 60 years). Those who did not accept to participate, without availability or without ability to understand the questionnaires were excluded. Functional capacity was assessed by the Barthel Index and patients were classified according to their scores. Data analysis was performed in JASP Statistics program and the sample was compared between the age groups. Wilcoxon test was applied to compare before and after periods, Mann-Whitney test was used for between groups comparison. We adopted alpha = 0.05. RESULTS: The total Barthel Index median score was lower 1 month after hospital discharge than in the pre-Covid-19 period. Older people had worse functional status than adults before and also showed greater impairment after hospital discharge. Both groups showed lower Barthel Index classification than before, and older people presented more functional dependence than adults in both periods. Age, sarcopenia and frailty were associated factors. DISCUSSION: Hospitalization by Covid-19 impacts functional capacity after 1 month from discharge, especially in older people. Age, sarcopenia and frailty are associated factors. These results suggest need for care and rehabilitation of Covid-19 survivors.

Timing to out-of-bed mobilization and mobility levels of COVID-19 patients admitted to the ICU: Experiences in Brazilian clinical practice.

INTRODUCTION: At the beginning of the coronavirus disease 2019 (COVID-19) pandemic, there was scarce data about clinical/functional conditions during hospitalization or after hospital discharge. Little was known about COVID-19 repercussions and how to do early mobilization in intensive care unit (ICU). OBJECTIVE: Identify the time to the initiation of out-of-bed mobilization and the levels of mobility (sitting over the edge of the bed, sitting in a chair, standing, and ambulating) reached by critically ill patients with COVID-19 during hospitalization and the factors that could impact early mobilization. METHODS: This was a retrospective observational study of patients with COVID-19 in the ICU. RESULTS: There were 157 surviving COVID-19 patients included in the study (median age: 61 years; median ICU length of stay: 12 days). The median time to initiate out-of-bed mobilization in the ICU was 6 days; between patients who received mechanical ventilation (MV) compared with those who did not, this time was 8 vs. 2.5 days (p < .001). Most patients who used MV were mobilized after extubation (79.6%). During ICU stays, 88.0% of all patients were mobilized out of bed, and 41.0% were able to ambulate either with assistance or independently. The time to initiate out-of-bed mobilization is associated with sedation time and MV time. CONCLUSION: Despite the pandemic scenario, patients were quickly mobilized out of bed, and most of the patients achieved higher mobility levels in the ICU and at hospital discharge. Sedation time and MV time were associated with delays in initiating mobilization.

Functional Recovery Groups in Critically Ill COVID-19 Patients and Their Associated Factors: From ICU to Hospital Discharge.

OBJECTIVES: To analyze functional recovery groups of critically ill COVID-19 survivors during their hospital stay and to identify the associated factors. DESIGN: Prospective observational multicenter study. SETTING: Demographic, clinical, and therapeutic variables were collected, and physical and functional status were evaluated. The Barthel index was evaluated at three time points: 15 days before hospitalization, at ICU discharge, and at hospital discharge from the ward. PATIENTS: Patients with functional independence before COVID-19 diagnosis were recruited from four hospitals and followed up until hospital discharge. MEASUREMENTS AND MAIN RESULTS: Three groups of functional recovery were described for 328 patients: functional independence ( n = 144; 44%), which included patients who preserved their functional status during hospitalization; recovered functionality ( n = 109; 33.2%), which included patients who showed dependence at ICU discharge but recovered their independence by hospital discharge; and functional dependency ( n = 75; 22.8%), which included patients who were dependent at ICU discharge and had not recovered their functional status at hospital discharge. The factors associated with becoming functionally dependent at ICU discharge were time to out-of-bed patient mobilization (odds ratio [OR], 1.20; 95% CI, 1.11-1.29), age (OR, 1.02; 95% CI, 1.01-1.04), hyperglycemia (OR, 2.52; 95% CI, 1.56-4.07), and Simplified Acute Physiology Score (OR, 1.022; 95% CI, 1.01-1.04). Recovery to baseline independence during ward stays was associated with ICU length of stay (OR, 0.97; 95% CI, 0.94-0.99) and muscle strength (Medical Research Council test) at ICU discharge (OR, 1.13; 95% CI, 1.08-1.18). CONCLUSIONS: Age, hyperglycemia, and time for patient mobilization out of bed were independent factors associated with becoming physically dependent after their ICU stay. Recovery of physical function at hospital discharge was associated with muscle strength at ICU discharge and length of ICU stay.

Ambulation capacity, age, immunosuppression, and mechanical ventilation are risk factors of in-hospital death in severe COVID-19: a cohort study.

IMPORTANCE: Despite ambulation capacity being associated with a decreased level of physical activity and survival may be influenced by the functional capacity, studies have not addressed the association between ambulation capacity and death in patients hospitalized by COVID-19. OBJECTIVE: To verify the functional, clinical, and sociodemographic risk factors associated with in-hospital death in individuals with severe COVID-19. METHODS: It is a cohort retrospective study performed at a large tertiary hospital. Patients 18 years of age or more, of both sexes, hospitalized due to severe COVID-19 were included. Cases with dubious medical records and/or missing essential data were excluded. Patients were classified according to their ambulation capacity before the COVID-19 infection. Information regarding sociodemographic characteristics, in-hospital death, total hospital stays, Intensive Care Unit (ICU) stays, and the necessity of Mechanical Ventilation (MV) were collected from medical records and registered in a RedCap database. Multiple logistic regression analysis was used to identify possible factors associated with the in-hospital death rate. RESULTS: Data from 1110 participants were included in the statistical analysis. The median age of the patients was 57 (46‒66) years, 58.42% (n = 590) were male, and 61.73% (n = 602) were brown or black. The case fatality rate during hospitalization was 36.0% (n = 363). In-hospital death was associated with ambulation capacity; dependent ambulators (OR = 2.3; CI 95% = 1.2-4.4) and non-functional ambulation (OR = 1.9; CI 95% = 1.1-3.3), age [older adults (OR = 3.0; CI 95% = 1.9‒4.), ICU stays (OR = 1.4; CI 95% = 1.2‒1.4), immunosuppression (OR = 5.5 CI 95% = 2.3‒13.5) and mechanical ventilation (OR = 27.5; CI 95% = 12.0-62.9). CONCLUSION AND RELEVANCE: Decreased ambulation capacity, age, length of ICU stay, immunosuppression, and mechanical ventilation was associated with a high risk of in-hospital death due to COVID-19.

Use and misuse of biomarkers and the role of D-dimer and C-reactive protein in the management of COVID-19: A post-hoc analysis of a prospective cohort study.

OBJECTIVE: Coronavirus disease 2019 (COVID-19) is associated with high mortality among hospitalized patients and incurs high costs. Severe acute respiratory syndrome coronavirus 2 infection can trigger both inflammatory and thrombotic processes, and these complications can lead to a poorer prognosis. This study aimed to evaluate the association and temporal trends of D-dimer and C-reactive protein (CRP) levels with the incidence of venous thromboembolism (VTE), hospital mortality, and costs among inpatients with COVID-19. METHODS: Data were extracted from electronic patient records and laboratory databases. Crude and adjusted associations for age, sex, number of comorbidities, Sequential Organ Failure Assessment score at admission, and D-dimer or CRP logistic regression models were used to evaluate associations. RESULTS: Between March and June 2020, COVID-19 was documented in 3,254 inpatients. The D-dimer level ≥4,000 ng/mL fibrinogen equivalent unit (FEU) mortality odds ratio (OR) was 4.48 (adjusted OR: 1.97). The CRP level ≥220 mg/dL OR for death was 7.73 (adjusted OR: 3.93). The D-dimer level ≥4,000 ng/mL FEU VTE OR was 3.96 (adjusted OR: 3.26). The CRP level ≥220 mg/dL OR for VTE was 2.71 (adjusted OR: 1.92). All these analyses were statistically significant (p<0.001). Stratified hospital costs demonstrated a dose-response pattern. Adjusted D-dimer and CRP levels were associated with higher mortality and doubled hospital costs. In the first week, elevated D-dimer levels predicted VTE occurrence and systemic inflammatory harm, while CRP was a hospital mortality predictor. CONCLUSION: D-dimer and CRP levels were associated with higher hospital mortality and a higher incidence of VTE. D-dimer was more strongly associated with VTE, although its discriminative ability was poor, while CRP was a stronger predictor of hospital mortality. Their use outside the usual indications should not be modified and should be discouraged.

Characteristics and outcomes of patients with COVID-19 admitted to the ICU in a university hospital in São Paulo, Brazil - study protocol

OBJECTIVES: We designed a cohort study to describe characteristics and outcomes of patients with coronavirus disease (COVID-19) admitted to the intensive care unit (ICU) in the largest public hospital in Sao Paulo, Brazil, as Latin America becomes the epicenter of the pandemic. METHODS: This is the protocol for a study being conducted at an academic hospital in Brazil with 300 adult ICU beds dedicated to COVID-19 patients. We will include adult patients admitted to the ICU with suspected or confirmed COVID-19 during the study period. The main outcome is ICU survival at 28 days. Data will be collected prospectively and retrospectively by trained investigators from the hospital's electronic medical records, using an electronic data capture tool. We will collect data on demographics, comorbidities, severity of disease, and laboratorial test results at admission. Information on the need for advanced life support and ventilator parameters will be collected during ICU stay. Patients will be followed up for 28 days in the ICU and 60 days in the hospital. We will plot Kaplan-Meier curves to estimate ICU and hospital survival and perform survival analysis using the Cox proportional hazards model to identify the main risk factors for mortality. ClinicalTrials.gov: NCT04378582. RESULTS: We expect to include a large sample of patients with COVID-19 admitted to the ICU and to be able to provide data on admission characteristics, use of advanced life support, ICU survival at 28 days, and hospital survival at 60 days. CONCLUSIONS: This study will provide epidemiological data about critically ill patients with COVID-19 in Brazil, which could inform health policy and resource allocation in low- and middle-income countries.

Applications of Non-invasive Neuromodulation for the Management of Disorders Related to COVID-19.

Background: Novel coronavirus disease (COVID-19) morbidity is not restricted to the respiratory system, but also affects the nervous system. Non-invasive neuromodulation may be useful in the treatment of the disorders associated with COVID-19. Objective: To describe the rationale and empirical basis of the use of non-invasive neuromodulation in the management of patients with COVID-10 and related disorders. Methods: We summarize COVID-19 pathophysiology with emphasis of direct neuroinvasiveness, neuroimmune response and inflammation, autonomic balance and neurological, musculoskeletal and neuropsychiatric sequela. This supports the development of a framework for advancing applications of non-invasive neuromodulation in the management COVID-19 and related disorders. Results: Non-invasive neuromodulation may manage disorders associated with COVID-19 through four pathways: (1) Direct infection mitigation through the stimulation of regions involved in the regulation of systemic anti-inflammatory responses and/or autonomic responses and prevention of neuroinflammation and recovery of respiration; (2) Amelioration of COVID-19 symptoms of musculoskeletal pain and systemic fatigue; (3) Augmenting cognitive and physical rehabilitation following critical illness; and (4) Treating outbreak-related mental distress including neurological and psychiatric disorders exacerbated by surrounding psychosocial stressors related to COVID-19. The selection of the appropriate techniques will depend on the identified target treatment pathway. Conclusion: COVID-19 infection results in a myriad of acute and chronic symptoms, both directly associated with respiratory distress (e.g., rehabilitation) or of yet-to-be-determined etiology (e.g., fatigue). Non-invasive neuromodulation is a toolbox of techniques that based on targeted pathways and empirical evidence (largely in non-COVID-19 patients) can be investigated in the management of patients with COVID-19.

Characteristics and outcomes of patients with COVID-19 admitted to the ICU in a university hospital in São Paulo, Brazil - study protocol.

OBJECTIVES: We designed a cohort study to describe characteristics and outcomes of patients with coronavirus disease (COVID-19) admitted to the intensive care unit (ICU) in the largest public hospital in Sao Paulo, Brazil, as Latin America becomes the epicenter of the pandemic. METHODS: This is the protocol for a study being conducted at an academic hospital in Brazil with 300 adult ICU beds dedicated to COVID-19 patients. We will include adult patients admitted to the ICU with suspected or confirmed COVID-19 during the study period. The main outcome is ICU survival at 28 days. Data will be collected prospectively and retrospectively by trained investigators from the hospital's electronic medical records, using an electronic data capture tool. We will collect data on demographics, comorbidities, severity of disease, and laboratorial test results at admission. Information on the need for advanced life support and ventilator parameters will be collected during ICU stay. Patients will be followed up for 28 days in the ICU and 60 days in the hospital. We will plot Kaplan-Meier curves to estimate ICU and hospital survival and perform survival analysis using the Cox proportional hazards model to identify the main risk factors for mortality. ClinicalTrials.gov: NCT04378582. RESULTS: We expect to include a large sample of patients with COVID-19 admitted to the ICU and to be able to provide data on admission characteristics, use of advanced life support, ICU survival at 28 days, and hospital survival at 60 days. CONCLUSIONS: This study will provide epidemiological data about critically ill patients with COVID-19 in Brazil, which could inform health policy and resource allocation in low- and middle-income countries.