Development and Validation of an Acute Respiratory Distress Syndrome Prediction Model in Coronavirus Disease 2019: Updated Lung Injury Prediction Score.

OBJECTIVE: To develop and validate an updated lung injury prediction score for coronavirus disease 2019 (COVID-19) (c-LIPS) tailored for predicting acute respiratory distress syndrome (ARDS) in COVID-19. PATIENTS AND METHODS: This was a registry-based cohort study using the Viral Infection and Respiratory Illness Universal Study. Hospitalized adult patients between January 2020 and January 2022 were screened. Patients who qualified for ARDS within the first day of admission were excluded. Development cohort consisted of patients enrolled from participating Mayo Clinic sites. The validation analyses were performed on remaining patients enrolled from more than 120 hospitals in 15 countries. The original lung injury prediction score (LIPS) was calculated and enhanced using reported COVID-19-specific laboratory risk factors, constituting c-LIPS. The main outcome was ARDS development and secondary outcomes included hospital mortality, invasive mechanical ventilation, and progression in WHO ordinal scale. RESULTS: The derivation cohort consisted of 3710 patients, of whom 1041 (28.1%) developed ARDS. The c-LIPS discriminated COVID-19 patients who developed ARDS with an area under the curve (AUC) of 0.79 compared with original LIPS (AUC, 0.74; P<.001) with good calibration accuracy (Hosmer-Lemeshow P=.50). Despite different characteristics of the two cohorts, the c-LIPS's performance was comparable in the validation cohort of 5426 patients (15.9% ARDS), with an AUC of 0.74; and its discriminatory performance was significantly higher than the LIPS (AUC, 0.68; P<.001). The c-LIPS's performance in predicting the requirement for invasive mechanical ventilation in derivation and validation cohorts had an AUC of 0.74 and 0.72, respectively. CONCLUSION: In this large patient sample c-LIPS was successfully tailored to predict ARDS in COVID-19 patients.

The effect of hand hygiene audit in COVID intensive care units in a tertiary care hospital in South India.

BACKGROUND: In the era of COVID-19 pandemic, there is an upsurge of healthcare-associated infections (HAI) in COVID intensive care units (ICUs), which can be reduced by following proper hand hygiene (HH) practice. Performing HH auditing in COVID ICU and providing timely feedback to the stake holders is crucial to reduce HAIs. METHODS: From November 2020- April 2021, HH audit was conducted in COVID ICUs. HH complete adherence rate (HHCAR), HH partial adherence rate (HHPAR) and HH total adherence rate (HHTAR) were analyzed. Profession-specific HHTAR and moment-specific HHTAR (for each WHO moment) were also calculated. RESULTS: HHCAR, HHPAR and HHTAR were found as 30.8%, 34.5% and 65.3% respectively. There was a significant increase in the monthly HHTAR from 26.7% to 68.4% (P < .001). The profession-specific HHAR was found to be highest among doctors (67.5%) and nurses (66.4%). As the HHTAR increases there is a significant decrease in device associated infection (DAI) rate from 24.7 to 11.5 per 1,000 device days. CONCLUSIONS: Auditing HH and providing timely feedback significantly improved HH compliance. The need of the hour is to regularly conduct HH audit in COVID locations of all healthcare facilities to reduce HAI rate among the COVID- 19 infected patients in ICUs.