Clinical Characteristics and Outcomes of COVID-19 Patients Hospitalized in Intensive Care Unit.

BACKGROUND: Meta-analysis and clinical studies suggest coronavirus disease-2019 (COVID-19) patients in ICU have a high mortality rate of 30-45%, which has evolved as a function of criteria of admission and the management modalities. MATERIALS AND METHODS: We conducted a retrospective evaluation for characteristics and outcomes in critical care set up across six months. RESULTS: 514 patients (74.3% males and 25.6% females) were evaluated. 9.72% (n = 50) patients expired, 78% (n = 39) were males. Mean age (years) was 57 (±14, range 64, 95% CI 55-58). 65.7% (n = 338) were of age more than 50 years, of which 71.5% (n = 242) were males. Males at 20% higher risk for death than women. (RR = 1.2, 95% CI 0.66-2.31, p = 0.61 NS). There was 18% less risk of mortality in female vs male with comorbidities (RR 0.82, 95% CI 0.67-1.12, p = 0.32 NS). Risk for mortality in diabetics was significantly increased by 116% vs nondiabetics. (RR 2.16, p = 0.0055, 95% CI 1.28-3.67). Highly significant risk of mortality in age group >50 years (3.13 times higher) vs age ≤50 years. (RR 3.18, 95% CI 1.71-8.64, p = 0.0003). 50.2% had moderate ARDS at admission. High flow nasal cannula was used in 47.2%. There is 5.79 times more likelihood to be on the ventilator with moderate to severe ARDS vs mild ARDS (RR = 5.79, 95% CI 3.10-11.05, p <0.0001). Risk for death was six times higher for patients on ventilator vs not on ventilator (RR = 6.08, 95% CI 3.49-10.59, p <0.0001). The mean number of days on ventilator for patients who underwent tracheostomy (n = 49) was 14 days as compared to 6.6 days in patients who were extubated (n = 57) (p <0.0001). P/F ratio had negative correlation with number of days of hospitalisation (Pearson r -0.391, 95% CI -0.46- -0.31, p <0.0001). 67% less chances of mortality in patients on steroids (RR = 0.33, 95% CI 0.19-60, p = 0.0012). Mean duration of ICU stay (days) was 8 (± 5, range 29, 95% CI 7.5-8.4). CONCLUSIONS: We observed that a strict adherence to the basic principles of ARDS management resulted in a lower mortality in ICU setting. HOW TO CITE THIS ARTICLE: Pandit RA, Gagana BN, Vaity C, Mulakavalupil B, Choudhary JS, Jain V, et al. Clinical Characteristics and Outcomes of COVID-19 Patients Hospitalized in Intensive Care Unit. Indian J Crit Care Med 2021;25(9):992-1000.

Absence of Case of Mucormycosis (March 2020-May 2021) under strict protocol driven management care in a COVID-19 specific tertiary care intensive care unit.

AIMS: With a sudden increase in cases of mucormycosis seen in Covid -19 patients, we conducted a retrospective analysis of all admitted patients in a tertiary care covid-19 hospital looking at incidence of mucormycosis. METHODS: Intensive care unit daily rounds data stored in an electronic format was retrieved by one of the consultants, looking for incidence of mucormycosis, diabetes mellitus, adherence to protocol for steroid use, glycemic control and use of monoclonal antibodies. Also, patients follow up data base of post covid Outpatients Department was searched for cases of mucormycosis. RESULTS: A total of 5248 patients were admitted between March 2020 to May 2021, of which 1027 were in ICU and 4221 in wards. Of the 1027 patients admitted in Intensive care unit, 915 received steroids and 417 had diabetes as existing co-morbidity. No case of mucormycosis was reported during the stay in the hospital and during immediate outpatient department follow up. The low dose steroids were administered as per state government protocol for treating COVID 19, a nurse driven strict glycemic control regime (blood glucose level was maintained between 140 and 180 mg/dl through the admission in ICU and was achieved consistently in 842 (82%) patients, followed along with minimal use of other immunomodulatory like monoclonal antibodies. CONCLUSION: A strict adherence to protocol of low dose steroids coupled with strict glycemic control helped in eliminating the risk and incidence of mucormycosis in a tertiary care dedicated covid-19 hospital.

The Second- vs First-wave COVID-19: More of the Same or a Lot Worse? A Comparison of Mortality between the Two Waves in Patients Admitted to Intensive Care Units in Nine Hospitals in Western Maharashtra.

BACKGROUND: India, along with the rest of the world, faced the challenging severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic. The second wave in India lagged behind that in the Western world, due to different timing of seasons. There is scarce data about the differences between the two waves, for intensive care unit (ICU) patients. We present the data of 3,498 patients from 9 ICUs of western Maharashtra. MATERIALS AND METHODS: We collected prospective data of hospitalized, RT-PCR confirmed, coronavirus-2019 (COVID-19) patients, from nine tertiary centers, after institutional ethics committee (IEC) approval. Then, we segregated and analyzed the data of patients admitted to the ICU, for comorbidities, high-resolution computed tomography (HRCT) score, ventilatory support, etc. The primary outcomes were ICU and hospital mortality. We also performed multivariable analysis for predictors of ICU mortality. RESULTS: Overall, there were 3,498 ICU patients. In the first wave, 1,921 patients needed ICU admission, while in the second wave, 1,577 patients. Patients in the second wave had significantly higher ICU (26.1 vs 13.4%, p <0.001) and hospital mortality (29.9 vs 18.2%, p <0.001) and need for ventilatory support of any type. More patients received steroids during the second wave. On multivariable regression, male gender, ICU admission during the second wave, increasing HRCT score, and need for intubation and mechanical ventilation were significant predictors of ICU mortality. CONCLUSION: ICU patients admitted during the two waves were of the similar age, but there were more females, and more patients had comorbidities during the second wave. The ICU and hospital mortality were significantly higher during the second wave. HOW TO CITE THIS ARTICLE: Zirpe KG, Dixit S, Kulkarni AP, Pandit RA, Ranganathan P, Prasad S, et al. The Second- vs First-wave COVID-19: More of the Same or a Lot Worse? A Comparison of Mortality between the Two Waves in Patients Admitted to Intensive Care Units in Nine Hospitals in Western Maharashtra. Indian J Crit Care Med 2021; 25(12):1343-1348.

Unmasking Hypoxia in COVID 19 - Six Minute Walk Test.

Across the world healthcare systems are dealing with COVID 19. One of the main manifestations of this infection is varied degree of involvement of lung causing a spectrum of illness from mild lower respiratory tract infection to severe Adult Respiratory Distress Syndrome (ARDS). One of the important clinical parameters is to identify hypoxia early to initiate higher level of care at the earliest. However, presence of silent or latent hypoxia has made this task a challenge in COVID 19. A simple 6-minute walk test (6MWT) to look for inducible hypoxia for a patient who looks comfortable and is not hypoxic at rest, helps in early detection of hypoxia and initiating early higher-level care. The 6MWT also helps in looking for discharge preparedness of patient. This simple tool has immense clinical applicability to ensure safe care of COVID 19 patients.