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BACKGROUND: COVID-19 has become extremely dangerous manifesting itself in a variety of forms ranging from a simple flu-like illness to death. COVID-19 associated mucormycosis (CAM) is a global threat with diabetes being a major contributor. . OBJECTIVE: This review aims to give a clear picture of the impact of hyperglycemia in CAM along with its management. METHOD: Google and Google Scholar were searched and studies that addressed the impact of diabetes in CAM were considered for this review. We also performed a bibliographic search of the specific article to find additional studies and relevant articles were included. RESULTS: A series of events such as unregulated activation of innate immune system modification, pro-inflammatory M1 macrophages activation, and the depletion of natural killer cell activity is very common in patients with COVID-19. In addition, the exacerbated cytokine syndrome and hyperinflammatory response may elevate the severity of this condition which further leads to higher mortality. The impaired immune phase which follows provide the niche for increased infection among diabetic patients making them more prone towards developing mucormycosis and other comorbidities facilitate the way. Early detection, surgical debridement, and appropriate medical treatment with antifungals and hypoglycaemic agents may help to control the infection and associated morbidity and mortality. COVID-19 drugs, hypoglycaemic agents, antifungals, and comorbidities have all been associated with adverse side effects and drug interactions when coming together. CONCLUSION: Clinicians should be well aware of this deadly disease and manage COVID-19, diabetes, and mucormycosis through individualized treatment regimens to improve patient outcomes.
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Objectives: Palliative care (PC) referral in serious and critical COVID-19 improves decision-making, health resource utilisation, end-of-life symptom management and family support. In this study, we explored developing a systematic decision-making matrix for PC referral in COVID-19 and audited its outcomes. Materials and Methods: A team of interdisciplinary experts developed a hospital COVID-19 PC plan. PC referral and outcomes of PC referral in hospitalised COVID-19 patients were audited. Results: Out of 1575 inpatients, 1066 (67.7%) had mild and 509 (32.3%) had serious and critical COVID-19 illness. Among 50 (3.1%) referred to PC, 5 (0.4%) had mild and 45 (8.8%) had serious and critical COVID-19 illness. Out of 45 serious and critical COVID-19 patients referred to PC, 38 (84%) received end-of-life care (EOLC), 4 (9%) self-discharged against medical advice and 3 (7%) recovered. Forty-seven (94%) were referred for goals-of-care discussion. About 78% received opioids, 70% benzodiazepines and 42% haloperidol for symptom management. Among 45 serious and critical COVID-19 patients referred to PC, foregoing life-sustaining treatment was documented in 43 (96%) but implemented only in 23 (53%). Out of 38 who received EOLC, ICU was the place of death in 31 (82%) and ward in 7 (18%). Conclusion: Despite interdisciplinary experts developing a hospital COVID-19 PC, low referral of serious and critical COVID-19 patients to PC was observed. PC referral enabled access to management of end-of-life symptoms and facilitated limitation of life-sustaining treatment in some COVID-19 patients with serious illness. Educating critical care physicians about the scope of PC in the COVID-19 setting might improve PC referral.
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Introduction: Kidney transplant recipients appear to be at high risk for severe COVID-19 illness due to chronic immunosuppression and coexisting conditions. Objectives: We aimed to study the clinical characteristics, laboratory and radiological results, treatment aspects and clinical outcomes of kidney transplant patients with COVID-19. Patient and Methods: Twenty consecutive kidney transplant patients with COVID-19 pneumonia from two tertiary care centers from India were retrospectively studied from July 1 to Oct 31, 2020. Results: Of 20 patients, 18 required admission;mean age was 42.8±9.39 years and 18 out of 20 (90%) were male. Symptom onset to testing time was a mean of 3.05±1.47 days. All patients were on triple immunosuppression. The median time since transplantation to COVID-19 was 3.75 years (IQR 2.37-5.41). Fever, cough and breathlessness were the most common presenting symptoms. Nine out of twenty (45%) had severe COVID-19 while six out of 20 (30%) required intensive care. Twelve (60%) patients had lymphopenia. Additionally mycophenolate was withheld in seventeen out of twenty (85 %) and enoxaparin and intravenous methylprednisolone were administered in all hospitalized patients while remdesivir was prescribed in 16 out of 20 (80%). Moreover, acute kidney injury (AKI) was seen in five out of 20 (25%) since one of died (5%). After a median hospital stay of 8.5 days (IQR 6.75-15.5), seventeen patients were discharged from the hospital. Conclusion: COVID-19 infection in kidney transplant recipients is usually a moderate-severe form. COVID-19 should be a differential diagnosis for fever in this high-risk population however lymphopenia may not be seen in all. Antimetabolite withdrawal, intravenous steroid, anticoagulation and early remdesivir were all found to be safe and effective strategies for improving outcomes. Early diagnosis and timely treatment may decrease mortality in this high-risk population. [ FROM AUTHOR] Copyright of Journal of Nephropathology is the property of Isfahan University of Medical Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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Purpose: The clinical profile and factors affecting outcomes in acute respiratory distress syndrome (ARDS) from adequately sample-sized Indian studies are still lacking. We aimed to investigate the clinical profile, treatment pattern, outcomes; and to assess factors affecting non-recovery in ARDS patients. Patients and methods: A retrospective observational study was conducted among adult ARDS patients admitted during five year period (January 2014-December 2018) in a South Indian tertiary care setting. The relevant data were collected from the medical records to the data collection form. The univariate and multivariate logistic regression analyses were conducted to identify the predictors of outcomes using SPSS v20. Results: A total of 857 participants including 496 males and 361 females with a mean age of 46.86 ± 15.81 years were included in this study. Fever (70.9%), crepitation (58.3%), breathlessness (56.9%), and cough (45%) were the major clinical presentation. Hypertension (25.2%), kidney disease (23.8%), and diabetes (22.3%) were the major comorbidities; and sepsis (37.6%), pneumonia (33.3%), and septic shock (27.5%) were the major etiological factors observed. Antibiotics and steroids were administered to 97.9% and 52.3% of the population, respectively. The recovery rate was 47.49%. The patients with scrub typhus, dengue, pancreatitis, and oxygen supplementation had significantly lower mortality. The factors such as advanced age, sepsis, septic shock, liver diseases, and ventilation requirements were observed to be the independent predictors of non-recovery in ARDS patients. Conclusion: A comparable recovery rate was observed in our population. Advanced age, sepsis, septic shock, liver diseases, and ventilation requirements were the independent predictors of non-recovery.
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BACKGROUND: Multiple parameters may be used to prognosticate coronavirus disease-2019 (COVID-19) patients, which are often expensive laboratory or radiological investigations. We evaluated the utility of age-adjusted Charlson comorbidity index (CCI) as a predictor of outcome in COVID-19 patients treated with remdesivir. MATERIALS AND METHODS: This was a single-center, retrospective study on 126 COVID-19 patients treated with remdesivir. The age-adjusted CCI, length of hospital stay (LOS), need for invasive mechanical ventilation (IMV), and survival were recorded. RESULTS: The mean and standard deviation (SD) of age-adjusted CCI were 3.37 and 2.186, respectively. Eighty-six patients (70.5%) had age-adjusted CCI ≤4, and 36 (29.5%) had age-adjusted CCI >4. Among patients with age-adjusted CCI ≤4, 20 (23.3%) required IMV, whereas in those with age-adjusted CCI >4, 19 (52.8%) required IMV (p <0.05, Pearson's chi-square test). In those with age-adjusted CCI ≤4, the mortality was 18.6%, whereas it was 41.7% in patients with age-adjusted CCI >4 (p <0.05, Pearson's chi-square test). The receiver operating curve (ROC) of age-adjusted CCI for predicting the mortality had an area under the curve (AUC) of 0.709, p = 0.001, and sensitivity 68%, specificity 62%, and 95% confidence interval (CI) [0.608, 0.810], for a cutoff score >4. The ROC for age-adjusted CCI for predicting the need for IMV had an AUC of 0.696, p = 0.001, and sensitivity 67%, specificity 63%, and 95% CI [0.594, 0.797], for a cutoff score >4. ROC for age-adjusted CCI as a predictor of prolonged LOS (≥14 days) was insignificant. CONCLUSION: In COVID-19 patients, the age-adjusted CCI is an independent predictor of the need for IMV (score >4) and mortality (score >4) but is not useful to predict LOS (CTRI/2020/11/029266). HOW TO CITE THIS ARTICLE: Shanbhag V, Arjun NR, Chaudhuri S, Pandey AK. Utility of Age-adjusted Charlson Comorbidity Index as a Predictor of Need for Invasive Mechanical Ventilation, Length of Hospital Stay, and Survival in COVID-19 Patients. Indian J Crit Care Med 2021;25(9):987-991.