What does it take to achieve microelimination of hepatitis C among incarcerated individuals in Haryana, India?

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Facilitating Safe Discharge Through Predicting Disease Progression in Moderate Coronavirus Disease 2019 (COVID-19): A Prospective Cohort Study to Develop and Validate a Clinical Prediction Model in Resource-Limited Settings.

BACKGROUND: In locations where few people have received coronavirus disease 2019 (COVID-19) vaccines, health systems remain vulnerable to surges in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections. Tools to identify patients suitable for community-based management are urgently needed. METHODS: We prospectively recruited adults presenting to 2 hospitals in India with moderate symptoms of laboratory-confirmed COVID-19 to develop and validate a clinical prediction model to rule out progression to supplemental oxygen requirement. The primary outcome was defined as any of the following: SpO2 < 94%; respiratory rate > 30 BPM; SpO2/FiO2 < 400; or death. We specified a priori that each model would contain three clinical parameters (age, sex, and SpO2) and 1 of 7 shortlisted biochemical biomarkers measurable using commercially available rapid tests (C-reactive protein [CRP], D-dimer, interleukin 6 [IL-6], neutrophil-to-lymphocyte ratio [NLR], procalcitonin [PCT], soluble triggering receptor expressed on myeloid cell-1 [sTREM-1], or soluble urokinase plasminogen activator receptor [suPAR]), to ensure the models would be suitable for resource-limited settings. We evaluated discrimination, calibration, and clinical utility of the models in a held-out temporal external validation cohort. RESULTS: In total, 426 participants were recruited, of whom 89 (21.0%) met the primary outcome; 257 participants comprised the development cohort, and 166 comprised the validation cohort. The 3 models containing NLR, suPAR, or IL-6 demonstrated promising discrimination (c-statistics: 0.72-0.74) and calibration (calibration slopes: 1.01-1.05) in the validation cohort and provided greater utility than a model containing the clinical parameters alone. CONCLUSIONS: We present 3 clinical prediction models that could help clinicians identify patients with moderate COVID-19 suitable for community-based management. The models are readily implementable and of particular relevance for locations with limited resources.

A study to assess knowledge attitude and practices towards COVID-19 among frontline workers of a North Indian district

Frontline workers have been fighting hard since the novel Coronavirus also known as COVID-19 was declared a global pandemic by the WHO on March 12th, 2020.  This study assessed the level of knowledge of frontline workers attitudes of frontline workers and how well the frontline workers of the area adapted to the ongoing epidemic. This study used a cross-sectional research design conducted among 440 frontline workers Palwal district in Haryana. Information regarding knowledge attitude practice and socio-demographic characteristics was obtained using semi-coded and pretested questionnaire. Data were analyzed using SPSS version 20. Independent t-test ANOVA Pearson’s rank correlation test and multivariate linear regression were used. A p-value of <0.05 was considered significant. The mean of knowledge attitude and practice scores were 79.67 (SD = 1.81) 27.4 (SD = 0.98) and 22.47 (SD = 1.4) respectively. 94.8% of frontline workers had excellent knowledge 68.6% had excellent attitude and 57.7% had reasonable practice with significant positive correlation between the three. Knowledge score varied significantly with occupation (p = 0.003). Regression analysis showed that attitude score varied significantly with age gender and occupation (p<0.05). Practice score varied significantly with age (p<0.05). The majority of the HCWs had had excellent knowledge and attitude but moderate practice towards COVID-19 with a significant positive correlation between them. Knowledge appeared to be significantly associated with profession;attitude with age gender occupation source of information;and practice with age alone. Healthcare workers (HCWs) were using less authentic sources for information which is an important aspect that needs immediate correction as ultimately it affects knowledge and can be reflected in attitude and practice. Keywords: COVID-19 knowledge attitude practice frontline workers 

The COSEVAST Study Outcome: Evidence of COVID-19 Severity Proportionate to Surge in Arterial Stiffness.

BACKGROUND: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection affects the cardiovascular system at many levels. It initially infects endothelial cells, inducing marked endothelial damage and inflammation. However, there was no empirical evidence of functional compromise of arterial walls. AIMS AND OBJECTIVE: Our primary objective was to study functional arterial damage in coronavirus disease 2019 (COVID-19) and establish the noninvasive measurement of arterial stiffness as an independent marker of disease severity. MATERIALS AND METHODS: We recorded the arterial stiffness of 23 mild, 21 moderate, and 20 severe COVID-19 patients grouped on the latest National Institute of Health (NIH) severity criteria. We observed arterial stiffness of COVID-19 patients with standard parameters like noninvasive estimated carotid-femoral pulse wave velocity (cfPWV), age-normalized increase in cfPWV (ANI_cfPWV), age-normalized increase in aortic augmentation pressure (ANI_AugP), and heart rate-normalized augmentation index (HRN_ AIx). All the parameters were also corrected for statistically significant confounding factors. RESULTS: Moderate and severe COVID-19 patients have extremely significantly elevated arterial stiffness than mild patients. In mild patients, cfPWV (829.1 ± 139.2 cm/second) was significantly lower than both moderate (1067 ± 152.5 cm/second, p <0.0001) and severe (1416 ± 253.9 cm/second, p <0.0001) patients. ANI_cfPWV in moderate and severe patients was significantly higher than mild patients (mild: 101.2 ± 126.1 cm/second; moderate: 279 ± 114.4 cm/second; severe: 580.1 ± 216.4 cm/second; intergroup p <0.0001). The results even after correction for significant confounding factors did not show any considerable change in the increasing trend of arterial stiffness. CONCLUSION: This study establishes the functional deterioration of arteries in proportion to the severity of COVID-19. HOW TO CITE THIS ARTICLE: Kumar N, Kumar S, Kumar A, Bhushan D, Kumar A, Kumar A, et al. The COSEVAST Study Outcome: Evidence of COVID-19 Severity Proportionate to Surge in Arterial Stiffness. Indian J Crit Care Med 2021;25(10):1113-1119.

Repackaging of Malfunctioning High-flow Nasal Cannula as a Rescue Oxygen Therapy: An Innovation amid COVID-19 Crisis.

Oxygen supplementation is required for approximately 14% of the patients diagnosed of having COVID-19 infection. Despite the use of conventional oxygen therapy, 5% among these require treatment in the intensive care unit (ICU). Here, we are describing a situation in which oxygen therapy was delivered to the patients by making an assembly of oxygen tubing, three-way stopcock, and high-flow nasal cannula (HFNC) present in the hospital setting following the malfunction of air blender of HFNC machine (Fig. 1). This assembly might be useful as rescue oxygen therapy during a malfunction of HFNC machine and in resource-limited settings where HFNC machine is not available. The mechanisms of action could be (1) washout of anatomic dead space due to medium oxygen flow, (2) improved gas mixing in large airways, and (3) increased oxygen concentration inside the conducting airway. How to cite this article: Kumar A, Kumar A, Kumar N, Kumar A, Singh V, Kumar S, et al. Repackaging of Malfunctioning High-flow Nasal Cannula as a Rescue Oxygen Therapy: An Innovation amid COVID-19 Crisis. Indian J Crit Care Med 2021;25(8):948-949.

Multiple Peaked Cytokine Storm: Is Multiple Exposures to the COVID-19 Virus a Possible Cause?

Severe acute respiratory syndrome coronavirus 2 is the pathogen that causes coronavirus disease-2019 (COVID-19). Recent studies have shown that the "cytokine storm" (high concentration of proinflammatory cytokines) may contribute to the mortality of COVID-19. Repeated exposure to the virus can lead to a dose-dependent immune response that may be associated with more disease severity and higher mortality. Sudden deterioration/increased oxygen consumption after initial improvement may be due to multiple surges of cytokines storm within a short period, the possible cause may be due to multiple exposures within the incubation period. We hypothesize that multiple surges in cytokines storm in some patients may be due to multiple exposures of the same patient within the incubation period, sepsis, or other inflammatory lesions inside the body. In our cases, sepsis as a cause of cytokine storm was ruled out by doing the procalcitonin test, which was within the normal limit. HOW TO CITE THIS ARTICLE: Kumar A, Kumar A, Kumar A, Kumar N, Sinha C, Singh V. Multiple Peaked Cytokine Storm: Is Multiple Exposures to the COVID-19 Virus a Possible Cause? Indian J Crit Care Med 2021;25(4):463-464.

Plastic surgery practices amidst global COVID-19 pandemic: Indian consensus.

INTRODUCTION: The COVID-19 pandemic having spread globally has profound implications on medical and surgical care, which is given by the health care providers. At this time, though there are guidelines and recommendations for medical management of these patients, there is a lack of guidance on how a plastic surgeon should approach the COVID-19 suspect or infected patient who presents either in an elective or emergency setting. We aim to provide a consensus guideline based on the current recommendations of the Indian Council of Medical Research (ICMR) and the pooled experience of the major centers performing plastic and reconstructive surgery in India. METHODS: The current guidelines and recommendations on the COVID-19 pandemic were studied from both government and nongovernment sources including ICMR. The problems in the specialty of plastic surgery were categorized into four groups and for each group, separate and individual guidelines have been formulated. GUIDELINES: Consensus guidelines have been formulated for the specialty of Plastic and Reconstructive surgery. The patients requiring plastic surgery service have been categorized into four groups of acute, subacute, chronic, and late category. Acute cases are the ones who require intervention within 24-48 h. Subacute cases are the ones who require intervention in the next 3-10 days, while the chronic are the ones who need plastic surgery preferably within a month. The late category are the ones who need surgery within the next six months. This has been done based on the urgency and priority of surgical intervention titrated against the risks of operating and inadvertently acquiring the exposure of COVID-19-positive patients. CONCLUSION: Currently, in the wake of COVID-19 pandemic, there are no clear guidelines specific to the vast majority of patients who come for a plastic surgery intervention. This puts the patients at risk due to the impending plastic surgery problem while at the same time it poses a risk of exposure to COVID-19 for the surgical team. Consensus guidelines are presented, to steer the plastic surgeon in his work, in the wake of COVID-19 crisis. The guidelines are based on firm scientific evidence from the reputed research and regulatory bodies and have been made in consonance with plastic surgery experts around the country, so that these practices best suit the needs of the patients, while being mindful of resource limitations and infection risks. The approach of "delayed conservative treatment" works best in the present case scenario.