Adjunctive use of saturated solution of potassium iodide (SSKI) with liposomal amphotericin B (L-AMB) in mucormycosis achieves favorable response, shortened dose and duration of amphotericin: A retrospective study from a COVID-19 tertiary care center.

PURPOSE: Second wave of COVID-19 pandemic was associated with an unprecedented rise in cases of mucormycosis, treatment of which has been challenging owing to the availability and side effects associated with amphotericin. METHODS: All patients presenting with rhino-orbital cerebral mucormycosis (ROCM) following COVID-19 infection between April 2021 to June 2021 were included in this retrospective interventional study. Primary objective was to assess the clinical response with combination of intravenous liposomal amphotericin B (4-5 mg/kg/day) and saturated solution of potassium iodide (SSKI) given orally along with surgical debridement. RESULTS: Twenty-five patients of ROCM were treated with the regimen. Mean age and fasting blood sugar levels were 53.48 years and 239.64 mg/dL respectively. All patients had history of intake of steroids with a mean daily dose of 86.39 mg of prednisolone equivalent. 88% of patients had a "proven" diagnosis of mucormycosis. Cultures were positive in 52% of patients with Rhizopus arrhizus as the predominant species. The mean daily dose of amphotericin received was 268 mg/day with a mean duration of 9.52 days. Mean daily dose of SSKI was 2.57 g. 21 patients (84%) had stabilization of disease at week 8 and achieved cure at the end of treatment whereas the mortality rate was 16%. Factors that significantly affected outcome were eye and central nervous system (CNS) involvement on presentation. CONCLUSION: SSKI, with its remarkably low cost and safety profile, makes it a potential adjuvant drug that may help achieve the twin benefits of shortened duration and dose of LAMB.

Effectiveness of convalescent plasma in Indian patients with COVID-19.

BACKGROUND: Convalescent plasma (CP) is being used as a treatment option in hospitalized patients with COVID-19. Till date, there is conflicting evidence on efficacy of CP in reducing COVID-19 related mortality. OBJECTIVE: To evaluate the effect of CP on 28-day mortality reduction in patients with COVID-19. METHODS: We did a multi-centre, retrospective case control observational study from 1st May 2020 to 31st August 2020. A total of 1079 adult patients with moderate and severe COVID-19 requiring oxygen, were reviewed. Of these, 694 patients were admitted to ICU. Out of these, 333 were given CP along with best supportive care and remaining 361 received best supportive care only. RESULTS: In the overall group of 1079 patients, mortality in plasma vs no plasma group was statistically not significant (22.4% vs 18.5%; p = 0.125; OR = 1.27, 95% CI: 0.94--1.72). However, in patients with COVID-19 admitted to ICU, mortality was significantly lower in plasma group (25.5% vs 33.2%; p = 0.026; OR = 0.69, 95%CI: 0.50-0.96). This benefit of reduced mortality was most seen in age group 60 to 74 years (26.7% vs 43.0%; p = 0.004; OR = 0.48, 95% CI: 0.29-0.80), driven mostly by females of this age group (23.1% vs 53.5%; p = 0.013; OR = 0.26, 95% CI: 0.09-0.78). Significant difference in mortality was observed in patients with one comorbidity (22.3% vs 36.5%; p = 0.004; OR = 0.50, 95% CI: 0.31-0.80). Moreover, patients on ventilator had significantly lower mortality in the plasma arm (37.2% vs 49.3%; p = 0.009; OR = 0.61, 95% CI: 0.42-0.89); particularly so for patients on invasive mechanical ventilation (63.9% vs 82.9%; p = 0.014; OR = 0.37, 95% CI: 0.16-0.83). CONCLUSION: The use of CP was associated with reduced mortality in COVID-19 elderly patients admitted in ICU, above 60 years of age, particularly females, those with comorbidities and especially those who required some form of ventilation.

Comparison of nephrotoxicity of Colistin with Polymyxin B administered in currently recommended doses: a prospective study.

BACKGROUND: The most important concern with polymyxins (Colistin and Polymyxin B) use is nephrotoxicity. There is no prospective data comparing nephrotoxicity of these two drugs, when administered in high doses and as per current recommendations. We conducted a prospective study to compare their trend of nephrotoxicity in our patient population. METHODS: Our study included adult ICU patients who received more than 48 h of Colistin or Polymyxin B and had no confounding factors for nephrotoxicity. Loading and maintenance doses were given as per a uniform protocol. Nephrotoxicity was defined as twofold increase in serum creatinine, or 50% decrease in estimated baseline creatinine clearance. Patients were followed up for 1 week after therapy. Statistical analysis was performed using SPSS version 20.0. RESULTS: 61 patients were included in Colistin group, and 51 patients in Polymyxin B group. Median Colistin dose was 233.3 (IQR 150-300) mg/day and median Polymyxin B dose was 200 (IQR 180-240) mg/day. Median duration of Colistin and Polymyxin B use was 7 (IQR 5-7) days and 7 (IQR 7-9) days respectively. Nephrotoxicity developed in 39.3% patients in Colistin group compared to 11.8% patients in Polymyxin B group. Mean onset of nephrotoxicity was 3.8 ± 0.8 days with Colistin, and 4.2 ± 0.7 days with Polymyxin B therapy. In bivariate analysis, Colistin daily dose ≥ 300 mg was found to be associated with nephrotoxicity. There was no effect of age or BMI on Colistin toxicity. Mean duration of renal failure was 4.9 ± 3.1 days with Colistin use, and 5.0 ± 2.4 days with Polymyxin B use. 75% patients in Colistin group and 83.3% patients in Polymyxin B group who developed nephrotoxicity recovered their renal function by 1 week. CONCLUSIONS: Colistin in currently recommended doses is significantly more nephrotoxic than Polymyxin B. Colistin toxicity is dose-dependent, mostly mild to moderate, and is reversible in most cases.

Evaluation of risk of nephrotoxicity with high dose, extended-interval colistin administration.

AIM: The aim was to evaluate the risk of nephrotoxicity with high-dose, extended-interval regimen of colistin administration in critical ill patients. MATERIALS AND METHODS: This prospective study was conducted on patients suffering from sepsis due to Gram-negative infection susceptible only to colistin. The dosing schedule for colistin was 9 million units stat followed by 4.5 million units at 12 hourly interval (adjusted as per body weight and renal functions). The serum creatinine and creatinine clearance were estimated at the start of therapy and daily during therapy. RESULTS: Thirty-one patients suffering ventilator associated pneumonia (61.29%), blood stream infections (29.03%) and urinary tract infections (9.67%) due to Gram-negative multiple drug resistance organisms were assessed. Most commonly isolated organism were Acinetobacter baumannii (54.83%), Klebsiella pneumonia (16.12%) and Pseudomonas (29.03%). Five patients (16.12%) developed acute kidney injury within 4-5 days of start of therapy and returned to baseline after 6 days with no patient requiring renal replacement therapy or discontinuation of colistin. CONCLUSION: Our study showed that high-dose, extended-interval colistin can be given to critically ill patients without any significant risk of nephrotoxicity.

An interesting case of AL amyloidosis and MM: a complex scenario with cardiac involvement.

Our patient presented with complaints of progressive shortness of breath for 1 month. She was diagnosed with a case of infiltrative type of restrictive cardiomyopathy (RCM) based on echocardiography and cardiac MRI findings. Her fat pad biopsy was suggestive of AL type of amyloidosis (AL). She was diagnosed with a case of multiple myeloma (MM) based on bone marrow biopsy findings with 48% plasma cells and a skeletal survey with lytic bone lesions on the skull, thus meeting the Crab criteria. We want to highlight the complex nature of this case and the difficulties associated with making a diagnosis. This case report presents an excellent opportunity to touch on the interesting topics of RCM, amyloidosis and MM.

Pulmonary Embolism: A Complication of COVID-19 or Drug Abuse?

Our patient was a young male who had presented to the emergency room with complaints of shortness of breath for three days. His workup was suggestive of a pulmonary embolism. The patient had a history of COVID-19 pneumonia six months prior to this admission, from which he recovered completely. He denied use of recreational marijuana (smoking or edibles initially) but later accepted to smoking marijuana. In fact, he had increased the dose and frequency over the last six months. The COVID-19 infection had a strong impact on his mental health, which pushed him to increase marijuana use. Our case report highlights drug abuse as a risk factor for venous thromboembolism, confounded by the recent COVID-19 infection.

Vape-associated lung injury in immediate postoperative period: an upcoming perioperative respiratory risk factor.

There has been a rapid increase in e-cigarette usage, especially among young adults. E-cigarettes are often thought to be a safe substitute to traditional smoking and are frequently used as a bridge to smoking cessation. E-cigarette or vaping product use-associated lung injury often presents with subacute or acute respiratory failure. We report a case of a young man in his 20s, who developed rapidly worsening respiratory failure in the postoperative period. This case highlights the importance of recognising this entity on time, especially in the perioperative period, and its impact on patient outcomes.

Rifampicin-induced hypertensive urgency: eyes see what the mind knows.

A man had poor control of hypertension throughout 9 months of antituberculosis treatment. He consulted multiple physicians, who kept increasing this blood pressure medicine. Despite that, it was not controlled and he visited emergency many times with hypertensive urgency. When admitted in our care, he was off antituberculosis treatment for 5 days and his blood pressure was back to normal. We attributed it secondary to rifamipicin-induced enzyme induction. Tuberculosis and hypertension both being very common diseases, we report this case to highlight lack of awareness about these important and easily preventable drug interactions.

Efficacy of high-dose intravenous immunoglobulin in severe and critical COVID-19: A retrospective cohort study.

BACKGROUND: Various immunomodulatory therapies have been explored to manage the dysregulated immune response seen in severe COVID-19 infection. The objective of this study was to evaluate the efficacy of intravenous immunoglobulin (IVIG) in severe and critical COVID-19 disease. METHODS: This retrospective study included 535 patients with severe and critical COVID-19 admitted to the intensive care unit (ICU) of a tertiary care hospital, from May 2020 to December 2020. Primary outcome was the percentage of patients requiring mechanical ventilation. Secondary outcomes were a) in-hospital mortality, b) 28-day mortality, c) ICU-length of stay (ICU-LOS), d) days to discontinuation of supplemental oxygen, and e) days to COVID-PCR negativity. Logistic regression and linear regression were performed using the adjusted and unadjusted analyses. RESULTS: We analyzed a total of 535 patients out of which 255 (47.7%) received IVIG along with standard treatment and 280 (52.3%) received only standard treatment. Two groups were similar in terms of COVID-19 severity, APACHE II score, oxygen requirements, and initial management. The requirement of invasive ventilation was significantly less in the IVIG group compared to the Non-IVIG group (32.2% vs 40.4%, p < 0.05). In-hospital mortality, 28-day mortality, and ICU-LOS were also significantly less in the IVIG group (all p < 0.05). Subgroup analysis within the IVIG group showed that early administration of IVIG (≤7 days from ICU admission), old age (≥65 years), and obesity were associated with better outcomes (need for mechanical ventilation and in-hospital mortality) (all p < 0.05). IVIG administration in patients with chronic respiratory disease was associated with a reduced requirement for mechanical ventilation (p < 0.05), but there was an insignificant improvement in mortality. CONCLUSION: High-dose IVIG improves outcomes in severe and critical COVID-19 patients. The study also underscores the importance of timing and patient selection when administering IVIG.

COVID-19 Risk Stratification and Mortality Prediction in Hospitalized Indian Patients: Harnessing clinical data for public health benefits.

The variability of clinical course and prognosis of COVID-19 highlights the necessity of patient sub-group risk stratification based on clinical data. In this study, clinical data from a cohort of Indian COVID-19 hospitalized patients is used to develop risk stratification and mortality prediction models. We analyzed a set of 70 clinical parameters including physiological and hematological for developing machine learning models to identify biomarkers. We also compared the Indian and Wuhan cohort, and analyzed the role of steroids. A bootstrap averaged ensemble of Bayesian networks was also learned to construct an explainable model for discovering actionable influences on mortality and days to outcome. We discovered blood parameters, diabetes, co-morbidity and SpO2 levels as important risk stratification features, whereas mortality prediction is dependent only on blood parameters. XGboost and logistic regression model yielded the best performance on risk stratification and mortality prediction, respectively (AUC score 0.83, AUC score 0.92). Blood coagulation parameters (ferritin, D-Dimer and INR), immune and inflammation parameters IL6, LDH and Neutrophil (%) are common features for both risk and mortality prediction. Compared with Wuhan patients, Indian patients with extreme blood parameters indicated higher survival rate. Analyses of medications suggest that a higher proportion of survivors and mild patients who were administered steroids had extreme neutrophil and lymphocyte percentages. The ensemble averaged Bayesian network structure revealed serum ferritin to be the most important predictor for mortality and Vitamin D to influence severity independent of days to outcome. The findings are important for effective triage during strains on healthcare infrastructure.

Secondary infections modify the overall course of hospitalized patients with COVID-19: a retrospective study from a network of hospitals across North India.

Objective: To gain better insight into the extent of secondary bacterial and fungal infections in hospitalized patients in India, and to assess how these alter the course of coronavirus disease 2019 (COVID-19) so that control measures can be suggested. Methods: In this retrospective, multicentre study, the data of all patients who tested positive for severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) on reverse transcriptase polymerase chain reaction (RT-PCR), admitted to hospital between March 2020 and July 2021, were accessed from the electronic health records of a network of 10 hospitals across five states in North India. Results: Of 19,852 patients testing positive for SARS-CoV-2 on RT-PCR and admitted to the study hospitals during the study period, 1940 (9.8%) patients developed secondary infections (SIs). Patients with SIs were, on average, 8 years older than patients without SIs (median age 62.6 vs 54.3 years; P<0.001). The risk of SIs was significantly (P<0.001) associated with age, severity of disease at admission, diabetes, admission to the intensive care unit (ICU), and ventilator use. The most common site of infection was urine (41.7%), followed by blood (30.8%) and sputum/bronchoalveolar lavage/endotracheal fluid (24.8%); the least common was pus/wound discharge (2.6%). Gram-negative bacilli (GNB) were the most common organisms (63.2%), followed by Gram-positive cocci (GPC) (19.6%) and fungi (17.3%). Most patients with SIs were on multiple antimicrobials. The most commonly used antibiotics against GNB were beta-lactam/beta-lactamase inhibitors (76.9%), carbapenems (57.7%), cephalosporins (53.9%), and antibiotics against carbapenem-resistant Enterobacteriaceae (47.1%). Empirical use of antibiotics against GPC was seen in 58.9% of patients with SIs, and empirical use of antifungals was observed in 56.9% of patients with SIs. The average length of hospital stay for patients with SIs was almost twice as long as that of patients without SIs (median 13 vs 7 days). Overall mortality among patients with SIs (40.3%) was more than eight times higher than that among patients without SIs (4.6%). Only 1.2% of patients with SIs with mild COVID-19 at admission died, compared with 17.5% of those with moderate COVID-19 at admission and 58.5% of those with severe COVID-19 at admission (P<0.001). The mortality rate was highest in patients with bloodstream infections (49.8%), followed by those with hospital-acquired pneumonia (47.9%), urinary tract infections (29.4%), and skin and soft tissue infections (29.4%). The mortality rate in patients with diabetes with SIs was 45.2%, compared with 34.3% in those without diabetes (P<0.001). Conclusions: SIs complicate the course of patients hospitalized with COVID-19. These patients tend to have a much longer hospital stay, a higher requirement for oxygen and ICU care, and a significantly higher mortality rate compared with those without SIs. The groups most vulnerable to SIs are patients with more severe COVID-19, elderly patients and patients with diabetes. Judicious empirical use of combination antimicrobials in these groups of vulnerable patients can save lives. It is desirable to have region- or country-specific guidelines for appropriate use of antibiotics and antifungals to prevent their overuse.

Lack of association of baseline 25-hydroxyvitamin D levels with disease severity and mortality in Indian patients hospitalized for COVID-19.

Vitamin D deficiency (VDD) owing to its immunomodulatory effects is believed to influence outcomes in COVID-19. We conducted a prospective, observational study of patients, hospitalized with COVID-19. Serum 25-OHD level < 20 ng/mL was considered VDD. Patients were classified as having mild and severe disease on basis of the WHO ordinal scale for clinical improvement (OSCI). Of the 410 patients recruited, patients with VDD (197,48.2%) were significantly younger and had lesser comorbidities. The levels of PTH were significantly higher in the VDD group (63.5 ± 54.4 vs. 47.5 ± 42.9 pg/mL). The proportion of severe cases (13.2% vs.14.6%), mortality (2% vs. 5.2%), oxygen requirement (34.5% vs.43.4%), ICU admission (14.7% vs.19.8%) was not significantly different between patients with or without VDD. There was no significant correlation between serum 25-OHD levels and inflammatory markers studied. Serum parathormone levels correlated with D-dimer (r 0.117, p- 0.019), ferritin (r 0.132, p-0.010), and LDH (r 0.124, p-0.018). Amongst VDD patients, 128(64.9%) were treated with oral cholecalciferol (median dose of 60,000 IU). The proportion of severe cases, oxygen, or ICU admission was not significantly different in the treated vs. untreated group. In conclusion, serum 25-OHD levels at admission did not correlate with inflammatory markers, clinical outcomes, or mortality in hospitalized COVID-19 patients. Treatment of VDD with cholecalciferol did not make any difference to the outcomes.

Low FT3 is an independent marker of disease severity in patients hospitalized for COVID-19.

AIM: To study the prevalence of thyroid dysfunction and its association with disease severity in hospitalized patients of coronavirus disease-19 (COVID-19). METHODS: In this retrospective cohort study, thyroid function tests (TFT) of 236 hospitalized patients of COVID-19 along with demographic, comorbid, clinical, biochemical and disease severity records were analysed. Patients were divided into previous euthyroid or hypothyroid status to observe the effect of prior hypothyroidism on the severity of COVID-19. RESULTS: TFT abnormalities were common. Low free T3 (FT3), high thyroid-stimulating hormone (TSH) and low TSH were seen in 56 (23.7%), 15 (6.4%) and 9 (3.8%) patients, respectively. The median levels of TSH (2.06 vs 1.26 mIU/mL, P = 0.001) and FT3 (2.94 vs 2.47 pg/mL, P < 0.001) were significantly lower in severe disease. Previous hypothyroid status (n = 43) was associated with older age, higher frequency of comorbidities, higher FT4 and lower FT3. TFT did not correlate with markers of inflammation (except lactate dehydrogenase); however, FT3 and TSH negatively correlated with outcome severity score and duration of hospital stay. Cox regression analysis showed that low FT3 was associated with severe COVID-19 (P = 0.032, HR 0.302; CI 0.101-0.904), irrespective of prior hypothyroidism. CONCLUSIONS: Functional thyroid abnormalities (low FT3 and low TSH) are frequently seen in hospitalized patients of COVID-19. Although these abnormalities did not correlate with markers of inflammation, this study shows that low FT3 at admission independently predicts the severity of COVID-19.

High prevalence of diabetes and other comorbidities in hospitalized patients with COVID-19 in Delhi, India, and their association with outcomes.

BACKGROUND AND AIMS: To study the prevalence and impact of diabetes mellitus and other comorbidities among hospitalized patients with COVID-19. METHODS: In a prospective, observational study including consecutive adults hospitalized with COVID-19, clinical outcomes and inflammatory markers were compared in those with and without diabetes. Participants were classified as having mild or severe COVID-19 disease using the WHO ordinal scale. RESULTS: 401 patients (125 females) with median age of 54 years (range 19-92) were evaluated. Of them 189 (47.1%) had pre-existing diabetes and21 (5.2%) had new-onset hyperglycaemia. Overall, 344 (85.8%) and 57 (14.2%) cases had mild and severe COVID-19 disease respectively. The group with diabetes had a higher proportion of severe cases (20.1% vs 9%, p-0.002), mortality (6.3 vs 1.4%, p-0.015), ICU admission (24.3 vs 12.3%, p-0.002), and oxygen requirement (53.4 vs 28.3%, p < 0.001). Baseline Hba1c (n = 331) correlated significantly with outcome severity scores (r 0.136, p-0.013) and 12/15 (80%) of those who succumbed had diabetes. Hypertension, coronary artery disease, and chronic kidney disease were present in 164 (40.9%), 35 (8.7%) and 12 (2.99%) patients respectively. Hypertension was associated with a higher proportion of severe cases, mortality, ICU admission and oxygen administration. CONCLUSIONS: We report a high prevalence of diabetes in a hospitalized COVID-19 population. Patients with diabetes or hypertension had more severe disease and greater mortality.

Respiratory Co-Infections: Modulators of SARS-CoV-2 Patients' Clinical Sub-Phenotype.

Co-infection with ancillary pathogens is a significant modulator of morbidity and mortality in infectious diseases. There have been limited reports of co-infections accompanying SARS-CoV-2 infections, albeit lacking India specific study. The present study has made an effort toward elucidating the prevalence, diversity and characterization of co-infecting respiratory pathogens in the nasopharyngeal tract of SARS-CoV-2 positive patients. Two complementary metagenomics based sequencing approaches, Respiratory Virus Oligo Panel (RVOP) and Holo-seq, were utilized for unbiased detection of co-infecting viruses and bacteria. The limited SARS-CoV-2 clade diversity along with differential clinical phenotype seems to be partially explained by the observed spectrum of co-infections. We found a total of 43 bacteria and 29 viruses amongst the patients, with 18 viruses commonly captured by both the approaches. In addition to SARS-CoV-2, Human Mastadenovirus, known to cause respiratory distress, was present in a majority of the samples. We also found significant differences of bacterial reads based on clinical phenotype. Of all the bacterial species identified, ∼60% have been known to be involved in respiratory distress. Among the co-pathogens present in our sample cohort, anaerobic bacteria accounted for a preponderance of bacterial diversity with possible role in respiratory distress. Clostridium botulinum, Bacillus cereus and Halomonas sp. are anaerobes found abundantly across the samples. Our findings highlight the significance of metagenomics based diagnosis and detection of SARS-CoV-2 and other respiratory co-infections in the current pandemic to enable efficient treatment administration and better clinical management. To our knowledge this is the first study from India with a focus on the role of co-infections in SARS-CoV-2 clinical sub-phenotype.