"Nurse-The Archer" Fighting Against the Hidden Enemy.

Background and aim: The coronavirus disease-2019 (COVID-19) pandemic is a global threat spreading like a wildfire and taking the world by its storm. It has challenged the healthcare delivery systems and disrupted them in a way no one ever imagined before. We at Apollo Hospitals, Chennai, Tamil Nadu, India received many patients in the COVID critical care unit (CCU) and found a gradual lack of bundle care compliance resulting in an upsurge of central line-associated bloodstream infection (CLABSI) amid the patients. Materials and methods: A qualitative research approach and quasi-experimental research design were selected to assess the knowledge of the 150 frontline COVID CCU nurses regarding the CLABSI bundle and its prevention strategies. Results: This study revealed that 57% [mean (M) = 12.6; standard deviation (SD) = 2.37] of nurses had inadequate knowledge of the CLABSI bundle and its prevention strategies, in the pretest and scored 80% (M = 6.7; SD = 2.28) in the post-test, with "t" = 22.06 at p < 0.00001 after the hands-on training. The percentage of compliance to CLABSI bundle care increased to 83% and thereafter in an increasing trend. This was clearly evident through the reduction in the preventable CLABSI rate among critically ill COVID-19 patients. Conclusion: Nurses are on the frontline in preventing and controlling healthcare-associated infections (HAIs). Fighting with all the visible and invisible challenges, our research focused on hands-on training for frontline warriors to adhere to the CLABSI bundle care which drove us to the reduction in preventable CLABSI rate in our hospital through improved CLABSI bundle compliance. How to cite this article: Premkumar S, Ramanathan Y, Varghese JJ, Morris B, Nambi PS, Ramakrishnan N, et al. "Nurse-The Archer" Fighting Against the Hidden Enemy. Indian J Crit Care Med 2023;27(4):246-253.

"Nurse-The Archer" Fighting Against the Hidden Enemy.

Background and aim: The coronavirus disease-2019 (COVID-19) pandemic is a global threat spreading like a wildfire and taking the world by its storm. It has challenged the healthcare delivery systems and disrupted them in a way no one ever imagined before. We at Apollo Hospitals, Chennai, Tamil Nadu, India received many patients in the COVID critical care unit (CCU) and found a gradual lack of bundle care compliance resulting in an upsurge of central line-associated bloodstream infection (CLABSI) amid the patients. Materials and methods: A qualitative research approach and quasi-experimental research design were selected to assess the knowledge of the 150 frontline COVID CCU nurses regarding the CLABSI bundle and its prevention strategies. Results: This study revealed that 57% [mean (M) = 12.6; standard deviation (SD) = 2.37] of nurses had inadequate knowledge of the CLABSI bundle and its prevention strategies, in the pretest and scored 80% (M = 6.7; SD = 2.28) in the post-test, with "t" = 22.06 at p < 0.00001 after the hands-on training. The percentage of compliance to CLABSI bundle care increased to 83% and thereafter in an increasing trend. This was clearly evident through the reduction in the preventable CLABSI rate among critically ill COVID-19 patients. Conclusion: Nurses are on the frontline in preventing and controlling healthcare-associated infections (HAIs). Fighting with all the visible and invisible challenges, our research focused on hands-on training for frontline warriors to adhere to the CLABSI bundle care which drove us to the reduction in preventable CLABSI rate in our hospital through improved CLABSI bundle compliance. How to cite this article: Premkumar S, Ramanathan Y, Varghese JJ, Morris B, Nambi PS, Ramakrishnan N, et al. "Nurse-The Archer" Fighting Against the Hidden Enemy. Indian J Crit Care Med 2023;27(4):246-253.

Characteristics and outcomes of an international cohort of 600 000 hospitalized patients with COVID-19.

BACKGROUND: We describe demographic features, treatments and clinical outcomes in the International Severe Acute Respiratory and emerging Infection Consortium (ISARIC) COVID-19 cohort, one of the world's largest international, standardized data sets concerning hospitalized patients. METHODS: The data set analysed includes COVID-19 patients hospitalized between January 2020 and January 2022 in 52 countries. We investigated how symptoms on admission, co-morbidities, risk factors and treatments varied by age, sex and other characteristics. We used Cox regression models to investigate associations between demographics, symptoms, co-morbidities and other factors with risk of death, admission to an intensive care unit (ICU) and invasive mechanical ventilation (IMV). RESULTS: Data were available for 689 572 patients with laboratory-confirmed (91.1%) or clinically diagnosed (8.9%) SARS-CoV-2 infection from 52 countries. Age [adjusted hazard ratio per 10 years 1.49 (95% CI 1.48, 1.49)] and male sex [1.23 (1.21, 1.24)] were associated with a higher risk of death. Rates of admission to an ICU and use of IMV increased with age up to age 60 years then dropped. Symptoms, co-morbidities and treatments varied by age and had varied associations with clinical outcomes. The case-fatality ratio varied by country partly due to differences in the clinical characteristics of recruited patients and was on average 21.5%. CONCLUSIONS: Age was the strongest determinant of risk of death, with a ∼30-fold difference between the oldest and youngest groups; each of the co-morbidities included was associated with up to an almost 2-fold increase in risk. Smoking and obesity were also associated with a higher risk of death. The size of our international database and the standardized data collection method make this study a comprehensive international description of COVID-19 clinical features. Our findings may inform strategies that involve prioritization of patients hospitalized with COVID-19 who have a higher risk of death.

Approach to Thromboprophylaxis for Prevention of Venous Thromboembolism in COVID-19: Global Updates and Clinical Insights from India.

Venous thromboembolism (VTE) frequently occurs in patients with coronavirus disease-19 (COVID-19) and is associated with increased mortality. Several global guidelines recommended prophylactic-intensity anticoagulation rather than intermediate-intensity or therapeutic-intensity anticoagulation for patients with COVID-19-related acute or critical illness without suspected or confirmed VTE. Even though standard doses of thromboprophylaxis are received, many cases of thrombotic complications are reported; hence, appropriate and adequate thromboprophylaxis is critical for the prevention of VTE in COVID-19. In spite of an increased prevalence of VTE in Indian patients, sufficient data on patient characteristics, diagnosis, and therapeutic approach for VTE in COVID is lacking. In this article, we review the available global literature (search conducted up to 31 May 2021) and provide clinical insights into our approach towards managing VTE in patients with COVID-19. Furthermore, in this review, we summarize the incidence and risk factors for VTE with emphasis on the thromboprophylaxis approach in hospitalized patients and special populations with COVID-19 and assess clinical implications in the Indian context.

Impact of COVID-19 on non-COVID intensive care unit service utilization, case mix and outcomes: A registry-based analysis from India.

Background: Coronavirus disease 2019 (COVID-19) has been responsible for over 3.4 million deaths globally and over 25 million cases in India. As part of the response, India imposed a nation-wide lockdown and prioritized COVID-19 care in hospitals and intensive care units (ICUs). Leveraging data from the Indian Registry of IntenSive care, we sought to understand the impact of the COVID-19 pandemic on critical care service utilization, case-mix, and clinical outcomes in non-COVID ICUs.  Methods: We included all consecutive patients admitted between 1 st October 2019 and 27 th September 2020. Data were extracted from the registry database and included patients admitted to the non-COVID or general ICUs at each of the sites. Outcomes included measures of resource-availability, utilisation, case-mix, acuity, and demand for ICU beds. We used a Mann-Whitney test to compare the pre-pandemic period (October 2019 - February 2020) to the pandemic period (March-September 2020). In addition, we also compared the period of intense lockdown (March-May 31 st 2020) with the pre-pandemic period. Results: There were 3424 patient encounters in the pre-pandemic period and 3524 encounters in the pandemic period. Comparing these periods, weekly admissions declined (median [Q1 Q3] 160 [145,168] to 113 [98.5,134]; p=0.00002); unit turnover declined (median [Q1 Q3] 12.1 [11.32,13] to 8.58 [7.24,10], p<0.00001), and APACHE II score increased (median [Q1 Q3] 19 [19,20] to 21 [20,22] ; p<0.00001). Unadjusted ICU mortality increased (9.3% to 11.7%, p=0.01519) and the length of ICU stay was similar (median [Q1 Q3] 2.11 [2, 2] vs. 2.24 [2, 3] days; p=0.15096). Conclusion: Our registry-based analysis of the impact of COVID-19 on non-COVID critical care demonstrates significant disruptions to healthcare utilization during the pandemic and an increase in the severity of illness.

Multivariable mortality risk prediction using machine learning for COVID-19 patients at admission (AICOVID).

In Coronavirus disease 2019 (COVID-19), early identification of patients with a high risk of mortality can significantly improve triage, bed allocation, timely management, and possibly, outcome. The study objective is to develop and validate individualized mortality risk scores based on the anonymized clinical and laboratory data at admission and determine the probability of Deaths at 7 and 28 days. Data of 1393 admitted patients (Expired-8.54%) was collected from six Apollo Hospital centers (from April to July 2020) using a standardized template and electronic medical records. 63 Clinical and Laboratory parameters were studied based on the patient's initial clinical state at admission and laboratory parameters within the first 24 h. The Machine Learning (ML) modelling was performed using eXtreme Gradient Boosting (XGB) Algorithm. 'Time to event' using Cox Proportional Hazard Model was used and combined with XGB Algorithm. The prospective validation cohort was selected of 977 patients (Expired-8.3%) from six centers from July to October 2020. The Clinical API for the Algorithm is  http://20.44.39.47/covid19v2/page1.php being used prospectively. Out of the 63 clinical and laboratory parameters, Age [adjusted hazard ratio (HR) 2.31; 95% CI 1.52-3.53], Male Gender (HR 1.72, 95% CI 1.06-2.85), Respiratory Distress (HR 1.79, 95% CI 1.32-2.53), Diabetes Mellitus (HR 1.21, 95% CI 0.83-1.77), Chronic Kidney Disease (HR 3.04, 95% CI 1.72-5.38), Coronary Artery Disease (HR 1.56, 95% CI - 0.91 to 2.69), respiratory rate > 24/min (HR 1.54, 95% CI 1.03-2.3), oxygen saturation below 90% (HR 2.84, 95% CI 1.87-4.3), Lymphocyte% in DLC (HR 1.99, 95% CI 1.23-2.32), INR (HR 1.71, 95% CI 1.31-2.13), LDH (HR 4.02, 95% CI 2.66-6.07) and Ferritin (HR 2.48, 95% CI 1.32-4.74) were found to be significant. The performance parameters of the current model is at AUC ROC Score of 0.8685 and Accuracy Score of 96.89. The validation cohort had the AUC of 0.782 and Accuracy of 0.93. The model for Mortality Risk Prediction provides insight into the COVID Clinical and Laboratory Parameters at admission. It is one of the early studies, reflecting on 'time to event' at the admission, accurately predicting patient outcomes.

Awake prone position in adult nonintubated patients with acute hypoxaemic respiratory failure secondary to COVID-19:A multi-centre feasibility randomized controlled trial (preprint)

BackgroundThe primary manifestation of Corona Virus Disease -2019 (COVID-19) is acute hypoxic respiratory failure secondary to pneumonia and/or acute respiratory distress syndrome. Prone position has been shown to improve outcomes in ventilated patients with moderate to severe acute respiratory distress syndrome. The feasibility and safety of awake prone positioning and its impact on outcomes if any, in non-intubated patients with mild to moderate acute respiratory distress syndrome secondary to COVID-19 is unknown. Results of the observational studies published thus far in this pandemic have been conflicting. In this context, we conducted a multi-centre, parallel group, randomised controlled feasibility study on awake prone positioning in non-intubated patients with COVID-19 pneumonia requiring supplemental oxygen. Methods60 patients diagnosed with acute hypoxic respiratory failure secondary to COVID -19 pneumonia requiring 4 or more litres of oxygen to maintain a saturation of [≥] 92% were recruited in this study. Thirty patients each were randomised to either standard care or awake prone group. Patients randomised to the standard care were allowed to change their position as per comfort and patients randomized to the prone group were encouraged to self-prone for at least 6 hours a day. The primary outcome was the proportion of patients adhering to the protocol in each group. Secondary outcomes include failure of therapy leading to escalation of respiratory support, number of hours prone, maximum hours of continuous prone positioning in a day, length of stay in ICU, ICU mortality, total number of patients needing intubation and adverse events. ResultsIn the prone group, 43% (13 out of 30) of patients were able to self-prone for 6 or more hours a day. The median maximum prone duration per session was 2 hours. In the supine group, 47% (14 out of 30) were completely supine and 53% spent some hours in the prone position, but none exceeded 6 hours. There was no significant difference in any of the secondary outcomes between the two groups and there were no adverse events. InterpretationAwake proning in non-intubated patients with acute hypoxic respiratory failure is feasible and safe under clinical trial conditions. The results of our feasibility study will potentially help in the design of larger definitive trials to address this key knowledge gap.

Operationalisation of the Randomized Embedded Multifactorial Adaptive Platform for COVID-19 trials in a low and lower-middle income critical care learning health system.

The Randomized Embedded Multifactorial Adaptive Platform (REMAP-CAP) adapted for COVID-19) trial is a global adaptive platform trial of hospitalised patients with COVID-19. We describe implementation in three countries under the umbrella of the Wellcome supported Low and Middle Income Country (LMIC) critical  care network: Collaboration for Research, Implementation and Training in Asia (CCA). The collaboration sought to overcome known barriers to multi centre-clinical trials in resource-limited settings. Methods described focused on six aspects of implementation: i, Strengthening an existing community of practice; ii, Remote study site recruitment, training and support; iii, Harmonising the REMAP CAP- COVID trial with existing care processes; iv, Embedding REMAP CAP- COVID case report form into the existing CCA registry platform, v, Context specific adaptation and data management; vi, Alignment with existing pandemic and critical care research in the CCA. Methods described here may enable other LMIC sites to participate as equal partners in international critical care trials of urgent public health importance, both during this pandemic and beyond.

Breaking Barriers to Reach Farther: A Call for Urgent Action on Tele-ICU Services.

How to cite this article: Ramakrishnan N, Vijayaraghavan BKT, Venkataraman R. Breaking Barriers to Reach Farther: A Call for Urgent Action on Tele-ICU Services. Indian J Crit Care Med 2020;24(6):393-397.

Critical Care Epidemiology and Research in the Face of a Pandemic: An Opportunity in a Crisis.

How to cite this article: Vijayaraghavan BKT, Venkataraman R, Ramakrishnan N. Critical Care Epidemiology and Research in the Face of a Pandemic: An Opportunity in a Crisis. Indian J Crit Care Med 2020;24(4):242-244.