Efficacy and safety of thrombolysis in COVID19 related ARDS.

INTRODUCTION: COVID19 causes significant pulmonary microthrombi in some individuals, which can lead to ARDS and death. Thrombolysis could be an effective approach in some patients with severe ARDS. We describe our experience with usage of thrombolytic agents in COVID19 critically ill patients, who were in worsening respiratory failure. METHODOLOGY: Retrospective chart analysis was done in patients who were thrombolysed between May 2020- Sept 2020. Analysis was done to find out factors associated with improvement in oxygenation and survival. RESULTS: Twenty seven patients with severe ARDS [all had respiratory rate >30, FiO2 >0.6(on NIV/HFNC) and PiO2/FiO2 ratio<120] were thrombolysed in our ICU for COVID19 causes. C.T. Pulmonary Angiography could not be done in any of the 27 patients due to poor general condition, but 2D echo was normal in most (5 had dilated RA,RV) and none of the patients was in shock. So there was no conventional indication of thrombolysis in these patients, yet after thrombolysis, we saw dramatic changes in oxygenation (defined by decrease in FiO2 by ≥0.2) in twenty patients. Five patients had major bleed. Eleven patients survived (survival rate of 40.7%) and survival rate was high { 66% (8/12)} in patients who were thrombolysed within 2 days of oxygen requirement. CONCLUSION: In this unprecedented pandemic with high mortality rates, efficacy of early thrombolysis needs to be further explored in randomised controlled trials.

Prevalence and Causes of Diagnostic Errors in Hospitalized Patients Under Investigation for COVID-19.

BACKGROUND: The COVID-19 pandemic required clinicians to care for a disease with evolving characteristics while also adhering to care changes (e.g., physical distancing practices) that might lead to diagnostic errors (DEs). OBJECTIVE: To determine the frequency of DEs and their causes among patients hospitalized under investigation (PUI) for COVID-19. DESIGN: Retrospective cohort. SETTING: Eight medical centers affiliated with the Hospital Medicine ReEngineering Network (HOMERuN). TARGET POPULATION: Adults hospitalized under investigation (PUI) for COVID-19 infection between February and July 2020. MEASUREMENTS: We randomly selected up to 8 cases per site per month for review, with each case reviewed by two clinicians to determine whether a DE (defined as a missed or delayed diagnosis) occurred, and whether any diagnostic process faults took place. We used bivariable statistics to compare patients with and without DE and multivariable models to determine which process faults or patient factors were associated with DEs. RESULTS: Two hundred and fifty-seven patient charts underwent review, of which 36 (14%) had a diagnostic error. Patients with and without DE were statistically similar in terms of socioeconomic factors, comorbidities, risk factors for COVID-19, and COVID-19 test turnaround time and eventual positivity. Most common diagnostic process faults contributing to DE were problems with clinical assessment, testing choices, history taking, and physical examination (all p < 0.01). Diagnostic process faults associated with policies and procedures related to COVID-19 were not associated with DE risk. Fourteen patients (35.9% of patients with errors and 5.4% overall) suffered harm or death due to diagnostic error. LIMITATIONS: Results are limited by available documentation and do not capture communication between providers and patients. CONCLUSION: Among PUI patients, DEs were common and not associated with pandemic-related care changes, suggesting the importance of more general diagnostic process gaps in error propagation.

Whether Early Steroid dose is associated with lower mortality in COVID-19 critically ill Patients- An exploratory chart review.

INTRODUCTION: Steroids have shown its usefulness in critically ill COVID-19 patients. However, the time of starting steroid and dose tailored to severity remain a matter of inquiry due to still emerging evidences and wide-ranging concerns of benefits and harms. We did a retrospective record analysis in an apex teaching hospital ICU setting to explore optimal doses and duration of steroid therapy which can decrease mortality. METHODOLOGY: 114 adults with COVID-19-ARDS admitted to ICU between 20thMarch-15thAugust2020 were included in chart review. We did preliminary exploratory analysis (rooted in steroid therapy matrix categorized by dose and duration) to understand the effect of several covariates on survival. This was followed by univariate and multivariate Cox proportion hazard regression analysis and model diagnostics. RESULTS: Exploratory analysis and visualization indicated age, optimal steroid, severity (measured in P/F) of disease and infection status as potential covariates for survival. Univariate cox regression analysis showed significant positive association of age>60 years{2.6 (1.5-4.7)} and protective effect of optimum steroid{0.38(0.2-0.72)} on death (hazard) in critically ill patients. Multivariate cox regression analysis after adjusting effect of age showed protective effect of optimum steroid on hazard defined as death {0.46(0.23-0.87),LR=17.04,(p=2e-04)}.The concordance was 0.70 and model diagnostics fulfilled the assumption criteria for proportional hazard model. CONCLUSION: Optimal dose steroid as per defined 'optimum' (<24 hours and doses tailored to P/F at presentation) criteria can offer protective effect from mortality which persists after adjusting for age. This protective effect was not found to be negatively influenced by the risk of infection.

Active surveillance with telemedicine in patients on anticoagulants during the national lockdown (COVID-19 phase) and comparison with pre-COVID-19 phase.

BACKGROUND: The COVID-19 pandemic brought restriction to the movement of people due to the implementation of lockdown across various regions around the world. In India, most of the patients belong to rural areas and hence were unable to come for a follow-up visit. Hence, we reached out to patients on oral anticoagulation using telemedicine with aim of communicating with the patient concerning drug compliance, titration of dose of anticoagulation, health education, and identification of high-risk patients needing referral to the nearest health facility/our institute. This study was conducted at the Hero DMC heart institute (a tertiary care center for cardiac diseases). The study design is cross-sectional and involves a comparison of the pre-COVID-19 phase with the COVID-19 phase. We asked a five-component (Likert scale) questionnaire from patients for satisfaction after the consult. All symptoms, need for hospitalization and clinical events were recorded. The events were compared in both groups. RESULTS: We contacted 628 patients through telemedicine and 600 patients gave consent for participation in the study. For comparison, we analyzed data of 614 patients in the pre-COVID-19 phase. The mean age during the pre-COVID-19 phase was 55.27 + 17.09 years and the COVID-19 phase was 56.97 + 15.09 years with males more than females in both groups. There was no significant difference in the number of patients on oral anticoagulants and novel oral anticoagulants (NOAC). However, there were higher number of  patients on antiplatelets in the pre-COVID phase (p value0.01). 37% in the pre-COVID-19 phase and 40.31 % in the COVID-19 phase were noted to have out of target range INR (International normalized ratio). There was no difference in the number of bleeding or thromboembolic events seen. Patient response as assessed by a questionnaire (Likert scale) showed that >75% of patients were satisfied. CONCLUSION: Through telemedicine, we were able to approach our patients on oral anticoagulation and achieved titration of anti-coagulation, and health education similar to pre-COVID-19 times. During pandemics, telemedicine offers a promising option for patient management with chronic cardiac conditions. It also provides us an opportunity for the management of patients on oral anticoagulation involving titration of drug dosages (anti-coagulation), identification of high-risk patients, and health education.

A Delphi consensus statement for the management of post-COVID interstitial lung disease.

INTRODUCTION: As millions of people worldwide recover from COVID-19, a substantial proportion continue to have persistent symptoms, pulmonary function abnormalities, and radiological findings suggestive of post-COVID interstitial lung disease (ILD). To date, there is limited scientific evidence on the management of post-COVID ILD, necessitating a consensus-based approach. AREAS COVERED: A panel of experts in pulmonology and thoracic radiology was constituted. Key questions regarding the management of post-COVID ILD were identified. A search was performed on PubMed and EMBASE and updated till 1 March 2022. The relevant literature regarding the epidemiology, pathophysiology, diagnosis and treatment of post-COVID ILD was summarized. Subsequently, suggestions regarding the management of these patients were framed, and a consensus was obtained using the Delphi approach. Those suggestions which were approved by over 80% of the panelists were accepted. The final document was approved by all panel members. EXPERT OPINION: Dedicated facilities should be established for the care of patients with post-COVID ILD. Symptom screening, pulmonary function testing, and thoracic imaging have a role in the diagnosis. The pharmacologic and non-pharmacologic options for the management of post-COVID ILD are discussed. Further research into the pathophysiology and management of post-COVID ILD will improve our understanding of this condition.

Changing Critical Care Patterns and Associated Outcomes in Mechanically Ventilated Severe COVID-19 Patients in Different Time Periods: An Explanatory Study from Central India.

Background: The outcomes in critical illness depend on disease severity, practice protocols, workload, and access to care. This study investigates the factors affecting outcomes in mechanically ventilated coronavirus disease-2019 acute respiratory distress syndrome (COVID-19 ARDS) patients admitted in a tertiary teaching hospital intensive care unit (ICU) in Central India with reference to different time periods in pandemic. This is one of the largest series of mechanically ventilated COVID-19 ARDS patients, globally. Methods: This retrospective cohort study classified the entire data into four time periods (Period 1: April 2020 to June 2020; Period 2: July 2020 to September 2020; Period 3: October 2020 to December 2020; and Period 4: January 2021 to April 2021). We performed a multivariable-adjusted analysis to evaluate predictors of mortality, adjusted for baseline-severity, sequential organ failure assessment (SOFA score) and time period. We applied mixed-effect binomial logistic regression to model fixed-effect variables with incremental complexity. Results: Among the 56 survivors (19.4%) out of 288 mechanically ventilated patients, there was an up-gradient of survival proportion (0, 18.2, 17.4, and 28.6%) in four time periods. Symptom-intubation interval (OR 1.16; 95% CI 1.03-1.31) and driving pressures (DPs) (OR 1.17; 95% CI 1.07-1.28) were significant predictors of mortality in the model having minimal AIC and BIC values. Patients aged above 60 years also had a larger effect, but statistically insignificant effect favoring mortality (OR 1.99; 95% CI 0.92-4.27). The most complex but less parsimonious model (with higher AIC/BIC) indicated the protective odds of high steroid on mortality (OR 0.59; 95% CI 0.59-0.82). Conclusion: The outcomes in mechanically ventilated COVID-19 ARDS patients are heterogeneous across time windows and may be affected by the complex interaction of baseline risk and critical care parameters. How to cite this article: Saigal S, Joshi A, Panda R, Goyal A, Kodamanchili S, Anand A, et al. Changing Critical Care Patterns and Associated Outcomes in Mechanically Ventilated Severe COVID-19 Patients in Different Time Periods: An Explanatory Study from Central India. Indian J Crit Care Med 2022;26(9):1022-1030.

The incidence and clinical impact of thrombotic events in hospitalized COVID-2019 illness.

BACKGROUND: Coronavirus disease-2019 (COVID-19) infection and thrombosis are of great clinical importance as this association has shown to increase mortality. We intend to estimate the incidence of thrombotic events (TE) and their impact on clinical outcomes in hospitalized COVID-19 patients. METHODS: This was an analytical cross-sectional study. The study population comprised of hospitalized COVID-19 patients between 1st March 2021 and 31st May 2021. The clinico-demographic data, thrombotic events, and clinical outcomes were collected from electronic health records. RESULTS: A total of 1274 patients were analyzed. The median age of the study population was 56 years (IQR: 44-66 years). The estimated incidence of TE was 5.8% (N.=74); 60.8% of these TE occurred in patients having severe/critical COVID-19 illness and 70.3% of TE occurred in patients in the intensive care unit. Venous events (3.9%) were common compared to arterial events(1.9%). On multivariate logistic regression analysis, total leukocyte count, C-reactive protein, and D-dimer level were found to be the independent predictors of having TE. Receiver operator curve revealed a cut-off point of 872.5 DDU µg/L for D-dimer level (sensitivity: 67.6% and specificity: 72.1%; P<0.001, area under curve 0.78) for predicting TE. Patients with TE had significantly higher mortality compared to those without TE (58.1% vs. 22.2%; P<0.001); and the presence of TE (OR=2.94; 95% CI:1.7-5.1, P<0.001) was found to be the independent predictor of mortality. CONCLUSIONS: The incidence of TE is high for hospitalized COVID-19 patients and it is even higher in severe/critical COVID illness. Its presence has shown to double the mortality compared to those without it.

Pathological changes in COVID-19 pneumonia on limited post-mortem sampling of lung: A saga of inflammation and thrombosis.

We describe three postmortem open lung-biopsy findings among patients with COVID-19 pneumonia who were on anticoagulant therapy. The spectrum of histopathological findings included lung inflammation in the form of diffuse alveolar damage (DAD) in exudative and organizing phases, with or without pulmonary artery thrombosis in different stages of evolution. This spectrum of inflammation and thrombosis may be indicative of a natural history of severe COVID-19 pneumonia or demonstrative of variation in therapeutics.

SARS-CoV-2 infection is associated with increased odds of insomnia, RLS and dream enactment behavior.

Background: Literature suggests that the COVID-19 pandemic has resulted in poor sleep quality, especially among the infected population. However, literature regarding the effect of COVID-19 pandemic and SARS-CoV-2 infection on occurrence of insomnia, restless legs syndrome and dream enactment behavior is either scarce or unavailable. Methods: This study was planned to assess the effect of SARS-CoV-2 infection on the occurrence of insomnia, restless legs syndrome (RLS) and dream enactment behavior (DEB). For this cross-sectional study, a questionnaire comprising of items related to demographic details, past medical history, and information related to SARS-CoV-2 infection was distributed through social media. Insomnia was diagnosed using clinical criteria. RLS, DEB, sleep quality, depression and anxiety were assessed using a validated questionnaire. Information regarding the use of hypnotic medications was also gathered. Results: Of the 1596 respondents, 37.2% reported disturbed sleep while insomnia was reported by 22.6% respondents. 27.3% of respondents reported RLS and 17.4% suffered DEB. The odds of insomnia were greater among males (OR = 1.27; 95% CI: 1.03-1.58; P < 0.02) and among those who had SARS-CoV-2 infection (OR = 1.76; 95% CI = 1.42-2.19; P < 0.001). Similarly, SARS-CoV-2 infection was also associated with increased odds of RLS (OR = 2.48; 95% CI = 1.98-3.11; P < 0.001) and DEB (OR = 1.58; 95%CI = 1.21-2.06; P < 0.001). Insomnia, RLS and DEB were more frequent among respondents who required oxygen therapy, those who experienced loss of taste and/or smell, depression and anxiety. Prevalence of insomnia, DEB and RLS was higher than said prevalence among respondents with no history of SARS-CoV-2 infection, but lower than that of those with positive history of SARS-CoV-2 infection. 5.3% of respondents reported taking hypnotic medications before infection, 7% during infection and 5.3% after infection. Conclusion: SARS-CoV-2-infection-related factors in association with environmental factors have increased the prevalence of insomnia, DEB and RLS among subjects having infection. SARS-CoV-2-associated immunological changes, hypoxia and neurotropism may play a role in occurrence of insomnia, DEB and RLS.

Impact of a nurse-led teleconsultation strategy for cardiovascular disease management during COVID-19 pandemic in India: a pyramid model feasibility study.

OBJECTIVE: The COVID-19 pandemic necessitated the use of telemedicine to maintain continuity of care for patients with cardiovascular diseases (CVDs). This study aimed to demonstrate the feasibility of implementing a nurse-led teleconsultation strategy for CVD management during the COVID-19 pandemic in India and evaluated the impact of nurse-led teleconsultations on patient treatment satisfaction. DESIGN, SETTING AND PARTICIPANTS: We developed a two-stage teleconsultation strategy and tested the feasibility of implementing a nurse-led teleconsultation strategy to manage CVD in a northern state (Punjab) in India. A multidisciplinary team of experts developed the treatment protocol used for teleconsultations to manage CVD. Nurses were trained to provide teleconsultation, triaging of patients and referrals to the physicians. Patients with CVD who had an outpatient visit or hospitalisation between September 2019 and March 2020 at the Dayanand Medical College Hospital, Ludhiana, India, were contacted by phone and offered teleconsultations. Telemedicine strategy comprised: stage 1 nurse-led teleconsultations and stage 2 physician-led teleconsultations. Descriptive analysis was performed to report the proportion of patients triaged by the two-stage telemedicine strategy, and patient's clinical characteristics, and treatment satisfaction between the nurse-led versus physician-led teleconsultations. RESULTS: Overall, nurse-led stage 1 teleconsultations were provided to 12 042 patients with CVD. The mean (SD) age of the participants was 58.9 years (12.8), and men were 65.4%. A relatively small proportion of patients (6.3%) were referred for the stage-2 physician-led teleconsultations and of these only 8.4% required hospitalisations. During stage 1 nurse-led teleconsultations, patients were referred to the physicians due to uncontrolled diabetes (24.9%), uncontrolled hypertension (18.7%) and congestive heart failure (16.2%). The patient's treatment satisfaction was similar between the nurse-led versus physician-led teleconsultations (p=0.07). CONCLUSION: This study showed that a nurse-led telemedicine strategy is feasible to implement in a resource-constraint setting for triaging patients with CVD and reduces physician's burden.

A multicenter survey study of antifibrotic use for symptomatic patients with post-COVID-19 interstitial lung abnormalities.

Background: Little data exist on antifibrotic drugs for treating symptomatic patients with persistent interstitial lung abnormalities in the postacute phase of coronavirus disease 2019 (COVID-19). Herein, we describe the physician practices of prescribing pirfenidone and nintedanib for these patients and the physician-assessed response. Materials and Methods: This was a multicenter, retrospective survey study of subjects administered pirfenidone or nintedanib for post-COVID-19 interstitial lung abnormalities. Data on the demographic details, comorbidities, abnormalities on the computed tomography (CT) of the chest, treatment, antifibrotic drug use, and physician-assessed response were collected on a standard case record pro forma. We explored physician practices of prescribing antifibrotics (primary objective) and the physician-assessed response (secondary objective). Results: We included 142 subjects (mean age, 55.9 years; 16.2% women) at eight centers. The most common abnormalities on CT chest included ground glass opacities (75.7%), consolidation (49.5%), reticulation (43.9%), and parenchymal bands (16.8%). Of the 5701 patients discharged after hospitalization at six centers, 115 (2.0%) received antifibrotics. The drugs were prescribed an average of 26 days after symptom onset. One hundred and sixteen subjects were administered pirfenidone; 11 (9.5%) received the full dose (2400 mg/day). Thirty subjects were prescribed nintedanib; 23 (76.7%) received the full dose (300 mg/day). Of 76 subjects with available information, 27 (35.6%) and 26 (34.2%) had significant or partial radiologic improvement, respectively, according to the physician's assessment. Conclusions: Antifibrotic agents were administered to a minority of patients discharged after recovery from acute COVID-19 pneumonia. Larger, randomized studies on the efficacy and safety of these agents are required.

Six-Week Hospital-Based Pulmonary Rehabilitation in Covid Pneumonia ICU Survivors: Experience from a Tertiary Care Center in Central India.

OBJECTIVE: There is very limited data on the usefulness of pulmonary rehabilitation in patients with coronavirus pneumonia who have survived intensive care unit care. The primary aim was to explore the feasibility of conducting a pulmonary rehabilitation program in patients with coronavirus disease-19 pneumonia surviving intensive care. The secondary aim was to study the impact of a hospital-based 6-week pulmonary rehabilitation program on exercise capacity, quality of life, and psychological parameters in these patients. This study was conducted at the Center for Pulmonary Rehabilitation, Department of Pulmonary Medicine of the institute. MATERIAL AND METHODS: A total of 27 patients were enrolled. Among them, 14 patients who completed the desired 12 sessions over 6 weeks constituted the pulmonary rehabilitation group and 13 patients who either did not consent or defaulted within the first 2 weeks were considered as controls. Both groups had assessments at 0 and 6 weeks that included a 6-Minute Walk Test, Incremental Shuttle Walk Test, mMRC Dyspnea Scale, Baseline Dyspnea Index, and Transitional Dyspnea Index, Saint George's Respiratory Questionnaire score, and Depression, Anxiety, Stress Scale-21 score. RESULTS: Significant improvement in dyspnea by mMRC (P = .01) and exercise capacity as measured by 6-Minute Walk Test (P <.001) and Incremental Shuttle Walk Test (P = .025) was seen in the pulmonary rehabilitation group as compared to the control group. There was no significant improvement in quality of life and psychological parameters (Depression, Anxiety, Stress Scale 21 score) after 6 weeks of pulmonary rehabilitation program as measured in our study. CONCLUSION: Pulmonary rehabilitation is feasible and appears promising in coronavirus disease acute respiratory distress syndrome survivors. However, data from other centers and a larger number of patients are required to imbibe conclusive results.

Deciphering the Interactions of SARS-CoV-2 Proteins with Human Ion Channels Using Machine-Learning-Based Methods.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is accountable for the protracted COVID-19 pandemic. Its high transmission rate and pathogenicity led to health emergencies and economic crisis. Recent studies pertaining to the understanding of the molecular pathogenesis of SARS-CoV-2 infection exhibited the indispensable role of ion channels in viral infection inside the host. Moreover, machine learning (ML)-based algorithms are providing a higher accuracy for host-SARS-CoV-2 protein-protein interactions (PPIs). In this study, PPIs of SARS-CoV-2 proteins with human ion channels (HICs) were trained on the PPI-MetaGO algorithm. PPI networks (PPINs) and a signaling pathway map of HICs with SARS-CoV-2 proteins were generated. Additionally, various U.S. food and drug administration (FDA)-approved drugs interacting with the potential HICs were identified. The PPIs were predicted with 82.71% accuracy, 84.09% precision, 84.09% sensitivity, 0.89 AUC-ROC, 65.17% Matthews correlation coefficient score (MCC) and 84.09% F1 score. Several host pathways were found to be altered, including calcium signaling and taste transduction pathway. Potential HICs could serve as an initial set to the experimentalists for further validation. The study also reinforces the drug repurposing approach for the development of host directed antiviral drugs that may provide a better therapeutic management strategy for infection caused by SARS-CoV-2.

Adequate Antithrombin III Level Predicts Survival in Severe COVID-19 Pneumonia.

Critically ill patients with COVID-19 are at an increased thrombotic risk, hence thromboprophylaxis with heparin is considered mandatory. Antithrombin III (ATIII) is the most potent endogenous anticoagulant and is required for the clinical efficacy of heparin. Profound hypercoagulable and inflammatory state associated with COVID-19 can result in decreased ATIII levels and ineffective heparin treatment resulting in increased mortality. The present study evaluated ATIII levels in critically ill patients of COVID-19 and correlated them with other coagulation parameters and disease outcomes. A retrospective review of those critically ill COVID-19 patients was performed who were on a therapeutic dose of low molecular weight heparin (LMWH) and had serial measurements of ATIII, anti-factor Xa (antiFXa) assay and other routine coagulation parameters. A total of 27 critically ill COVID-19 patients were identified, out of these, 12 survived and 15 had disease-induced mortality. ATIII levels were found to be significantly lower in non-survivors on the third day of serial measurement along with worsening of other coagulation parameters. AntiFXa levels were found to be higher in non-survivors as compared to survivors. Further studies are required to establish ATIII as a prognostic marker and to determine the utility of monitoring antiFXa levels in COVID-19 patients on LMWH therapy.

Sleep EEG Signatures in COVID-19 Survivors.

Study Objectives: Effect of COVID-19 on sleep architecture is not known. This study was done to find out EEG changes seen during sleep in COVID-19 survivors. Methodology: In this prospective single centre study, consecutive patients diagnosed with RTPCR confirmed COVID 19 were included after 4-6 weeks of discharge from hospital. All patients underwent level I PSG. EEG was analysed for presence of abnormal EEG pattern. Results: Total 189 patients were contacted telephonically for participation in this study. Finally 81 patients (55 males, 26 females) underwent Level I PSG. Total sleep time was 345.1 ± 85.1 min. Sleep efficiency was 76.0 ± 14.2%. Mean time (%) during N1, N2, N3 and Rapid Eye movement (REM) was 16.4%, 59.2%, 7.9% and 18.4% percentage, respectively. Mean AHI was 28.7 ± 22.8 per hour and arousal index was 23.9 ± 13.3. Alpha intrusion was the most common EEG finding (78%), followed by cyclical alternating pattern (59%). REM density was significantly increased in 38% of patients. REM alpha bursts and increased spindles were also seen in 27% and 16%. Conclusion: Abnormal EEG waves are very commonly seen in COVID-19 survivors. Presence of these abnormal PSG-EEG waves hints that COVID-19 might have similar effects as depression, insomnia on these subjects, at least in short run. Whether these changes are temporary or permanent needs to be evaluated by performing serial polysomnographies in patients with COVID-19 ARDS.

Pulmonary rehabilitation in COVID-19 pneumonia sequelae: so near yet so far.

To evaluate the benefit of pulmonary rehabilitation, a control group is a must to mitigate the effect of confounding factors like spontaneous resolution of lung damage, learning effect and better mental status https://bit.ly/3qy5sfe.

Obstructive sleep apnea is highly prevalent in COVID19 related moderate to severe ARDS survivors: findings of level I polysomnography in a tertiary care hospital.

STUDY OBJECTIVES: Studies have found Obstructive Sleep Apnea (OSA) as a risk factor for increased risk for COVID19 Acute respiratory Distress Syndrome (ARDS); but most of the studies were done in already known patients of OSA. This study was done to find prevalence of OSA in patients with COVID-19 related acute respiratory distress syndrome. METHODOLOGY: A hospital based longitudinal study was conducted among COVID 19 Intensive Care Unit (ICU) survivors. All consecutive COVID19 with moderate to severe ARDS were evaluated for OSA by Level I Polysomnography (PSG) after 4-6 weeks of discharge. Prevalence of OSA and PSG variables {Total sleep time, Sleep efficiency, sleep stage percentage, Apnea Hypopnea Index (AHI), T90, nadir oxygen} was estimated. RESULTS: Out of 103 patients discharged from ICU during study period (October 2020 to 15 December 2020), 67 underwent Level I PSG. Mean Age was 52.6 ± 10.9 years and mean Body Mass Index was 27.5 ± 6.2 kg/m2. Total sleep time was 343.2 ± 86 min, sleep efficiency was 75.9 ± 14.2%. OSA (AHI ≥5) was seen in 65/67 patients and 49 patients had moderate to severe OSA (ie AHI ≥15). CONCLUSION: Moderate-severe OSA was highly prevalent (73%) in COVID19 moderate to severe ARDS survivors. Role of OSA in pathophysiology of COVID19 ARDS needs further evaluation.

Assessment of Obstructive Sleep Apnea in Association with Severity of COVID-19: A Prospective Observational Study.

INTRODUCTION: OSA has been postulated to be associated with mortality in COVID-19, but studies are lacking thereof. This study was done to estimate the prevalence of OSA in patients with COVID-19 using various screening questionnaires and to assess effect of OSA on outcome of disease. METHODOLOGY: In this prospective observational study, consecutive patients with RT-PCR confirmed COVID-19 were screened for OSA by different questionnaires (STOPBANG, Berlin Questionnaire, NoSAS, and Epworth Scale). Association between OSA, outcome (mortality) and requirement for respiratory support was assessed. RESULTS: In study of 213 patients; screening questionnaires for OSA [STOPBANG, Berlin Questionnaire (BQ), NoSAS] were more likely to be positive in patients who died compared to patients who survived. On binary logistic regression analysis, age ≥ 55 and STOPBANG score ≥ 5 were found to have small positive but independent effect on mortality even after adjusting for other variables. Proportion of patients who were classified as high risk for OSA by various OSA screening tools significantly increased with increasing respiratory support (p < 0.001 for STOPBANG, BQ, ESS and p = 0.004 for NoSAS). CONCLUSION: This is one of the first prospective studies of sequentially hospitalized patients with confirmed COVID-19 status who were screened for possible OSA could be an independent risk factor for poor outcome in patients with COVID-19.