Trends of humoral immune responses to heterologous antigenic exposure due to vaccination & omicron SARS-CoV-2 infection: Implications for boosting.

Background & objectives: Vaccination and natural infection can both augment the immune responses against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), but how omicron infection has affected the vaccine-induced and hybrid immunity is not well studied in Indian population. The present study was aimed to assess the durability and change in responses of humoral immunity with age, prior natural infection, vaccine type and duration with a minimum gap of six months post-two doses with either ChAdOx1 nCov-19 or BBV152 prior- and post-emergence of the omicron variant. Methods: A total of 1300 participants were included in this observational study between November 2021 and May 2022. Participants had completed at least six months after vaccination (2 doses) with either ChAdOx1 nCoV-19 or an inactivated whole virus vaccine BBV152. They were grouped according to their age (≤ or ≥60 yr) and prior exposure of SARS-CoV-2 infection. Five hundred and sixteen of these participants were followed up after emergence of the Omicron variant. The main outcome was durability and augmentation of the humoral immune response as determined by anti-receptor-binding domain (RBD) immunoglobulin G (IgG) concentrations, anti-nucleocapsid antibodies and anti-omicron RBD antibodies. Live virus neutralization assay was conducted for neutralizing antibodies against four variants - ancestral, delta and omicron and omicron sublineage BA.5. Results: Before the omicron surge, serum anti-RBD IgG antibodies were detected in 87 per cent participants after a median gap of eight months from the second vaccine dose, with a median titre of 114 [interquartile range (IQR) 32, 302] BAU/ml. The levels increased to 594 (252, 1230) BAU/ml post-omicron surge (P<0.001) with 97 per cent participants having detectable antibodies, although only 40 had symptomatic infection during the omicron surge irrespective of vaccine type and previous history of infection. Those with prior natural infection and vaccination had higher anti-RBD IgG titre at baseline, which increased further [352 (IQR 131, 869) to 816 (IQR 383, 2001) BAU/ml] (P<0.001). The antibody levels remained elevated after a mean time gap of 10 months, although there was a decline of 41 per cent. The geometric mean titre was 452.54, 172.80, 83.1 and 76.99 against the ancestral, delta, omicron and omicron BA.5 variants in the live virus neutralization assay. Interpretation & conclusions: Anti-RBD IgG antibodies were detected in 85 per cent of participants after a median gap of eight months following the second vaccine dose. Omicron infection probably resulted in a substantial proportion of asymptomatic infection in the first four months in our study population and boosted the vaccine-induced humoral immune response, which declined but still remained durable over 10 months.

Statin and aspirin as adjuvant therapy in hospitalised patients with SARS-CoV-2 infection: a randomised clinical trial (RESIST trial).

BACKGROUND: Statins and aspirin have been proposed for treatment of COVID-19 because of their anti-inflammatory and anti-thrombotic properties. Several observational studies have shown favourable results. There is a need for a randomised controlled trial. METHODS: In this single-center, open-label, randomised controlled trial, 900 RT-PCR positive COVID-19 patients requiring hospitalisation, were randomly assigned to receive either atorvastatin 40 mg (Group A, n = 224), aspirin 75 mg (Group B, n = 225), or both (Group C, n = 225) in addition to standard of care for 10 days or until discharge whichever was earlier or only standard of care (Group D, n = 226). The primary outcome variable was clinical deterioration to WHO Ordinal Scale for Clinical Improvement ≥ 6. The secondary outcome was change in serum C-reactive protein, interleukin-6, and troponin I. RESULTS: The primary outcome occurred in 25 (2.8%) patients: 7 (3.2%) in Group A, 3 (1.4%) in Group B, 8 (3.6%) in Group C, and 7 (3.2%) in Group D. There was no difference in primary outcome across the study groups (P = 0.463). Comparison of all patients who received atorvastatin or aspirin with the control group (Group D) also did not show any benefit [Atorvastatin: HR 1.0 (95% CI 0.41-2.46) P = 0.99; Aspirin: HR 0.7 (95% CI 0.27-1.81) P = 0.46]. The secondary outcomes revealed lower serum interleukin-6 levels among patients in Groups B and C. There was no excess of adverse events. CONCLUSIONS: Among patients admitted with mild to moderate COVID-19 infection, additional treatment with aspirin, atorvastatin, or a combination of the two does not prevent clinical deterioration. Trial Registry Number CTRI/2020/07/026791 ( http://ctri.nic.in ; registered on 25/07/2020).

Covid-19 presenting as isolated severe thrombocytopenia in an HIV-lymphoma survivor.

Coronavirus disease has myriad manifestations and can present with predominantly extrapulmonary manifestations. We describe a 50-year-old man, a person living with HIV (PLHA), a non-Hodgkin lymphoma survivor, who presented with isolated severe thrombocytopenia. He was found to have immune-mediated thrombocytopenia, and showed excellent response to intravenous immunoglobulins.

Single-dose oral ivermectin in mild and moderate COVID-19 (RIVET-COV): A single-centre randomized, placebo-controlled trial.

INTRODUCTION: Ivermectin is an antiparasitic drug which has in-vitro efficacy in reducing severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) viral load. Hence, Ivermectin is under investigation as a repurposed agent for treating COVID-19. METHODS: In this pilot, double blind, randomized controlled trial, hospitalized patients with mild-to-moderate COVID-19 were assigned to a single oral administration of an elixir formulation of Ivermectin at either 24 mg or 12 mg dose, or placebo in a 1:1:1 ratio. The co-primary outcomes were conversion of RT-PCR to negative result and the decline of viral load at day 5 of enrolment. Safety outcomes included total and serious adverse events. The primary outcomes were assessed in patients who had positive RT-PCR at enrolment (modified intention-to-treat population). Safety outcomes were assessed in all patients who received the intervention (intention-to-treat population). RESULTS: Among the 157 patients randomized, 125 were included in modified intention-to-treat analysis. 40 patients each were assigned to Ivermectin 24 mg and 12 mg, and 45 patients to placebo. The RT-PCR negativity at day 5 was higher in the two Ivermectin arms but failed to attain statistical significance (Ivermectin 24 mg, 47.5%; 12 mg arm, 35.0%; and placebo arm, 31.1%; p-value = 0.30). The decline of viral load at day 5 was similar in each arm. No serious adverse events occurred. CONCLUSIONS: In patients with mild and moderate COVID-19, a single oral administration of Ivermectin did not significantly increase either the negativity of RT-PCR or decline in viral load at day 5 of enrolment compared with placebo.

Seroprevalence of antibodies to SARS-CoV-2 in healthcare workers & implications of infection control practice in India.

Background & objectives: Healthcare workers (HCWs) are considered to be at a high risk of contracting COVID-19 infection. Besides, control of nosocomial infections transmitted from HCWs to the patients is also a cause of concern. This study was undertaken to investigate the seroprevalence of antibodies against the SARS-CoV-2 virus among the hospital staff of a tertiary care health facility in north India. Methods: The HCWs were tested for SARS-CoV-2 serology (IgG+IgM) using chemiluminescence immunoassay between June 22 and July 24, 2020. Venous blood (2 ml) was collected and tested for SARS-CoV-2 IgG and IgM antibodies. Results: Of the 3739 HCWs tested, 487 (13%) were positive for total SARS-CoV-2 antibodies. The highest seroprevalence was observed in administrative staff (19.6%) and least in physicians (5.4%). The staff who used public (20%) and hospital transportation (16.9%) showed higher seroprevalence compared to staff using personal transportation (12.4%). No difference was observed between HCWs posted in COVID versus non-COVID areas. All seropositive symptomatic HCWs in our study (53.6%) had mild symptoms, and the remaining 46.4 per cent were asymptomatic. The antibody positivity rate progressively increased from 7.0 per cent in the first week to 18.6 per cent in the fourth week during the study. Interpretation & conclusions: The presence of antibodies to SARS-CoV-2 in a significant number of asymptomatic HCWs, association with the use of public transport, relatively lower seroprevalence compared with the non-HCWs and rising trend during the period of the study highlight the need for serosurveillance, creating awareness for infection control practices including social distancing and study of infection dynamics in the community for effective control of an infectious pandemic.

Clinico-demographic profile & hospital outcomes of COVID-19 patients admitted at a tertiary care centre in north India.

BACKGROUND & OBJECTIVES: In December 2019, a novel coronavirus (SARS-CoV-2) emerged in China and rapidly spread globally including India. The characteristic clinical observations and outcomes of this disease (COVID-19) have been reported from different countries. The present study was aimed to describe the clinico-demographic characteristics and in-hospital outcomes of a group of COVID-19 patients in north India. METHODS: This was a prospective, single-centre collection of data regarding epidemiological, demographic, clinical and laboratory parameters, management and outcome of COVID-19 patients admitted in a tertiary care facility in north India. Patient outcomes were recorded as death, discharge and still admitted. RESULTS: Data of 144 patients with COVID-19 were recorded and analyzed. The mean age of the patients was 40.1±13.1 yr, with 93.1 per cent males, and included 10 (6.9%) foreign nationals. Domestic travel to or from affected States (77.1%) and close contact with COVID-19 patients in congregations (82.6%) constituted the most commonly documented exposure. Nine (6.3%) patients were smokers, with a median smoking index of 200. Comorbidities were present in 23 (15.9%) patients, of which diabetes mellitus (n=16; 11.1%) was the most common. A significant proportion of patients had no symptoms (n=64; 44.4%); among the symptomatic, cough (34.7%) was the most common symptom followed by fever (17.4%) and nasal symptoms (2.15%). Majority of the patients were managed with supportive treatment with hydroxychloroquine and azithromycin given on a case-to-case basis. Only five (3.5%) patients required oxygen supplementation, four (2.8%) patients had severe disease requiring intensive care, one required mechanical ventilation and mortality occurred in two (1.4%) patients. The time to reverse transcription-polymerase chain reaction (RT-PCR) negativity was 16-18 days. INTERPRETATION & CONCLUSIONS: In this single-centre study of 144 hospitalized patients with confirmed COVID-19 in north India, the characteristic findings included younger age, high proportion of asymptomatic patients, long time to PCR negativity and low need for intensive care unit care.

Clinical Features Predicting COVID-19 Severity Risk at the Time of Hospitalization.

The global spread of COVID-19 has led to significant mortality and morbidity worldwide. Early identification of COVID-19 patients who are at high risk of developing severe disease can help in improved patient management, care, and treatment, as well as in the effective allocation of hospital resources. The severity prediction at the time of hospitalization can be extremely helpful in deciding the treatment of COVID-19 patients. To this end, this study presents an interpretable artificial intelligence (AI) model, named COVID-19 severity predictor (CoSP) that predicts COVID-19 severity using the clinical features at the time of hospital admission. We utilized a dataset comprising 64 demographic and laboratory features of 7,416 confirmed COVID-19 patients that were collected at the time of hospital admission. The proposed hierarchical CoSP model performs four-class COVID severity risk prediction into asymptomatic, mild, moderate, and severe categories. CoSP yielded better performance with good interpretability, as observed via Shapley analysis on COVID severity prediction compared to the other popular ML methods, with an area under the received operating characteristic curve (AUC-ROC) of 0.95, an area under the precision-recall curve (AUPRC) of 0.91, and a weighted F1-score of 0.83. Out of 64 initial features, 19 features were inferred as predictive of the severity of COVID-19 disease by the CoSP model. Therefore, an AI model predicting COVID-19 severity may be helpful for early intervention, optimizing resource allocation, and guiding personalized treatments, potentially enabling healthcare professionals to save lives and allocate resources effectively in the fight against the pandemic.

High seroprevalence against SARS-CoV-2 in non-vaccinated patients with inflammatory bowel disease from Northern India.

BACKGROUND: The information on seroprevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection among patients with inflammatory bowel disease (IBD) and its comparison to healthy controls is sparse. We compared the seroprevalence rates in patients with IBD and healthy controls (HCs). METHODS: Patients with IBD and HCs (contact of patients) underwent SARS-CoV-2 antibody testing (chemiluminescent immunoassay: Siemens kit IgG against antigen-S1RBD) between July 2020 and April 2021. Information on demography, disease characteristics, drug history and past history of SARS-CoV-2 infection were noted. Patients on 5-aminosalicylic acid or no treatment were considered not on immunosuppressants and those who had received steroids, thiopurines or methotrexate within six months of inclusion were considered being on immunosuppressants. RESULTS: A total of 235 patients (51.9%, males; mean age, 38.7 ± 12.4 years; median disease duration, 60 months [interquartile range, IQR: 36-120]) (ulcerative colitis [UC]: 69.4%, Crohn's disease [CD]: 28.9%, IBD unclassified [IBDU]: 1.7%) and 73 HCs (mean age, 39.6 ± 10.9 years, 80% males) were enrolled. Of the 235 patients, 128 (54.5%) patients were on immunosuppressants and 107 (45.5%) were not on immunosuppressants. Seventy-four (31.5%) patients were seropositive, of which two (0.9%) had previous history of SARS-CoV-2 infection and none received coronavirus disease-19 (COVID-19) vaccine. Seroprevalence between IBD patients and HCs (32% vs. 27%, p > 0.05) and between patients with and without immunosuppressants (28.1% vs. 36%, p > 0.05) was similar. Age, gender, disease type, duration and activity in the last six months; and medication use were similar between patients with positive and negative serology. There was a progressive increase in seroprevalence from July 2020 to April 2021. CONCLUSION: Up to 1/3rd of patients with IBD were seropositive for immunoglobulin G (IgG) SARS-Cov-2 antibody indicating high seroprevalence in patients with IBD from Northern India.

The Evaluation of Laboratory Parameters as Predictors of Disease Severity and Mortality in COVID-19 Patients: A Retrospective Study From a Tertiary Care Hospital in India.

Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection affects and alters various laboratory parameters that are predictors of disease severity and mortality, and hence, their prompt identification can aid in patient triaging and resource allocation. Objectives A retrospective study was conducted on 7416 admitted coronavirus disease 2019 (COVID-19) patients from 20 March 2020 to 9 August 2021 to identify crucial laboratory biomarkers as predictors of disease severity and outcome; also, their optimal cutoffs were also calculated. A comparison of laboratory markers between both COVID-19 waves was also performed. Results The majority of patients had mild disease (4295/7416, 57.92%), whereas 1262/7416 (17.02%) had severe disease. The overall fatal outcome was reported in 461 (6.22%) patients. Predictors for mortality were age (>52 years), albumin/globulin (A/G) ratio (≤1.47), chloride (≤101 mmol/L), ferritin (>483.89 ng/mL), lactate dehydrogenase (LDH) (>393 U/L), procalcitonin (>0.10 ng/mL), interleukin-6 (IL-6) (>8.8 pg/mL), fibrinogen (>403 mg/dL), international normalized ratio (INR) (>1.18), and D-dimer (>268 ng/mL). Disease severity predictors were neutrophils (>81%), lymphocyte (≤25.4%), absolute lymphocyte count (ALC) (≤1.38×103/µL), absolute eosinophil count (AEC) (≤0.03×103/µL), total bilirubin (TBIL) (≥0.51 mg/dL), A/G ratio (≤1.49), albumin (≤4.2 g/dL), ferritin (≥445.4 mg/dL), LDH (≥479 U/L), IL-6 (≥28.6 pg/mL), C-reactive protein/albumin (CRP/ALB) ratio (≥1.78), D-dimer (≥237 ng/mL), and fibrinogen (≥425 mg/dL). The majority of patients admitted in the second wave were older and had severe disease, increased fatality, and significantly deranged laboratory parameters than first wave patients. Conclusion Our findings suggested that several biomarkers are crucial for both severe disease and mortality in COVID-19 patients. Ferritin, LDH, IL-6, A/G ratio, fibrinogen, and D-dimer are important biomarkers for both severity and mortality, and when combined, they provide valuable information for patient monitoring and triaging. In addition to these, older age, INR, chloride, and procalcitonin are also significant risk factors for mortality. For severe COVID-19, TBIL, CRP/ALB, albumin, neutrophil percentage, lymphocyte percentage, ALC, and AEC are also important biomarkers. According to the study, the majority of the baseline laboratory parameters associated with COVID-19 mortality and severe disease were significantly higher during the second wave, which could be one of the possible causes for the high mortality rate in India during the second wave. So, the combination of all these parameters can be a powerful tool in emergency settings to improve the efficacy of treatment and prevent mortality, and the planning of subsequent waves should be done accordingly.

Impact of various hematological and biochemical parameters on mortality in coronavirus disease 2019 (COVID-19): A single-center study from North India.

Background: Severe acute respiratory syndrome coronavirus 2 (SARS CoV-2), which causes coronavirus disease 2019 (COVID-19), has rapidly evolved into a pandemic, affecting more than 90 million people and more than 1.9 million deaths worldwide. Despite extensive study, the prognostic role of various hematological and biochemical parameters remains unclear. Methods: This study was carried out at a COVID care facility in Delhi. The demographic and clinical information, laboratory parameters (hematological, biochemical, and inflammatory), and the treatment of admitted COVID-19 patients during first wave were collected from electronic medical records and were subsequently analyzed. Results: Between March 2020 and November 2020, a total of 5574 patients were admitted to hospital due to COVID-19. Majority (77.2%) were male and had a mean (standard deviation [SD]) age of 38.9 (14.9) years. The mean (SD) duration of hospital stay was significantly higher in nonsurvivors. Out of the entire cohort, 8.7% of the patients had comorbidities, whereas 47.1% of the patients were asymptomatic at presentation. Compared to the survivors, the nonsurvivors had a significantly higher proportion of comorbidities and were more likely to be symptomatic. Patients who died during hospital stay had significantly higher relative neutrophil percent and neutrophil-lymphocyte ratio and lower lymphocyte percent. The patients who died had significantly higher levels of ferritin, D-dimer, and fibrinogen. Conclusions: Analysis of various hematological and inflammatory parameters can provide useful prognostic information among COVID-19-affected patients. It can also help in identifying patients who merit aggressive institutional care and thereby potentially mitigate the mortality.

Silent Hypoxia in Coronavirus disease-2019: Is it more dangerous? -A retrospective cohort study.

Background: Hypoxia in patients with COVID-19 is one of the strongest predictors of mortality. Silent hypoxia is characterised by the presence of hypoxia without dyspnoea. Silent hypoxia has been shown to affect the outcome in previous studies. Methods: This was a retrospective study of a cohort of patients with SARS-CoV-2 infection who were hypoxic at presentation. Clinical, laboratory and treatment parameters in patients with silent hypoxia and dyspnoeic hypoxia were compared. Multivariate logistic regression models were fitted to identify the factors predicting mortality. Results: Among 2080 patients with COVID-19 admitted to our hospital, 811 patients were hypoxic with SpO2 <94% at the time of presentation. Among them, 174 (21.45%) did not have dyspnoea since the onset of COVID-19 symptoms. Further, 5.2% of patients were completely asymptomatic for COVID-19 and were found to be hypoxic only on pulse oximetry. The case fatality rate in patients with silent hypoxia was 45.4% as compared to 40.03% in dyspnoeic hypoxic patients (P = 0.202). The odds ratio of death was 1.1 (95% CI: 0.41-2.97) in the patients with silent hypoxia after adjusting for baseline characteristics, laboratory parameters, treatment and in-hospital complications, which did not reach statistical significance (P = 0.851). Conclusion: Silent hypoxia may be the only presenting feature of COVID-19. As the case fatality rate is comparable between silent and dyspnoeic hypoxia, it should be recognised early and treated as aggressively. Because home isolation is recommended in patients with COVID-19, it is essential to use pulse oximetry in the home setting to identify these patients.

Clinical features, demography, and predictors of outcomes of SARS-CoV-2 infection at a tertiary care hospital in India: A cohort study.

BACKGROUND: The "second wave" of the COVID-19 pandemic hit India from early April 2021 to June 2021. We describe the clinical features, treatment trends, and baseline laboratory parameters of a cohort of patients with SARS-CoV-2 infection and their association with the outcome. METHODS: This was a retrospective cohort study. Multivariate logistic regression models were fitted to identify clinical and biochemical predictors of developing hypoxia, deterioration during the hospital stay, and death. RESULTS: A total of 2080 patients were included. The case fatality rate was 19.5%. Among the survivors, the median duration of hospital stay was 8 (5-11) days. Out of 853 (42.3%%) of patients who had COVID-19 acute respiratory distress syndrome at presentation, 340 (39.9%) died. Patients aged >45 years had higher odds of death as compared to the 18-44 years age group. Vaccination reduced the odds of death by 40% (odds ratio [OR] [95% confidence interval [CI]]: 0.6 [0.4-0.9], P = 0.032). Patients with hyper inflammation at baseline as suggested by leukocytosis (OR [95% CI]: 2.1 [1.5-3.1], P < 0.001), raised d-dimer >500 mg/dL (OR [95% CI]: 3.2 [2.2-4.7], P < 0.001), and raised C-reactive peptide >0.5 mg/L (OR [95% CI]: 3.7 [2.2-13], P = 0.037) had higher odds of death. Patients who were admitted in the 2nd week had lower odds and those admitted in the 3rd week had higher odds of death. CONCLUSION: This study shows that vaccination status and early admission during the inflammatory phase can change the course of illness of these patients. Improving vaccination rates and early admission of patients with moderate and severe COVID-19 can improve the outcomes.

The Effectiveness of SARS-CoV-2 Vaccination in Preventing Severe Illness and Death - Real-world Data from a Cohort of Patients Hospitalized with COVID-19.

Background: While long-term studies on the correlates of protection, vaccine effectiveness, and enhanced surveillance are awaited for SARS-CoV-2 vaccine, studies on breakthrough infections help understand the nature and course of this illness among vaccinated individuals and guide in public health preparedness. This study aims to compare the differences in the hospitalization outcomes SARS-CoV-2 infection of fully vaccinated individuals with with those of unvaccinated and partially vaccinated individuals. Materials and Methods: Single institution observational cohort study. This study compared the differences in clinical, biochemical parameters and the hospitalization outcomes of 53 fully vaccinated individuals with those of unvaccinated (1464) and partially vaccinated (231) individuals, among a cohort of 2,080 individuals hospitalized with SARS-CoV-2 infection. Descriptive statistics and propensity-score weighted multivariate logistic regression analysis adjusting for clinical and laboratory parameters were used to compare the differences and to identify factors associated with outcomes. Results: Completing the course of vaccination protected individuals from developing severe COVID-19 as evidenced by lower proportions of those with hypoxia, abnormal levels of inflammatory markers, requiring ventilatory support, and death compared to unvaccinated and partially vaccinated individuals. There were no differences in these outcomes among patients who received either vaccine type approved in India. Conclusions: Efforts should be made to improve the vaccination rates as a timely measure to prepare for the upcoming waves of this highly transmissible pandemic. Vaccination rates of the communities may also guide in the planning of the health needs and appropriate use of medical resources.

Impact of Latent Tuberculosis on Severity and Outcomes in Admitted COVID-19 Patients.

Background There is limited data on coronavirus disease 2019 (COVID-19) and latent tuberculosis infection (LTBI). Methodology We analyzed data of admitted COVID-19 patients evaluated for LTBI to examine the impact of LTBI on severity, laboratory parameters, and COVID-19 outcome. Prospectively collected data were analyzed for 60 patients who were administered the Mantoux tuberculosis skin test (TST) using five tuberculin units of purified protein derivative. All patients were administered TST irrespective of Bacille Calmette-Guérin (BCG) vaccination status. Comorbidities, clinical features, radiologic involvement, laboratory parameters, and clinical course were analyzed concerning LTBI. Results The mean age was 45.9 (±15.2) years, and 35 (58.3%) patients had non-severe disease. The vast majority (n = 56/60; 93.3%) had been vaccinated with single-dose BCG in infancy or early childhood, as per national immunization guidelines. LTBI was diagnosed in 15 (25%) patients. LTBI prevalence was lower in severe (n = 1/25; 4%) than non-severe (n = 14/35; 40%) COVID-19 (p = 0.01) patients. LTBI patients had lower percentage neutrophil count, higher lymphocyte percentage, higher monocyte count, lower neutrophil-lymphocyte (NL) ratio, lower alanine aminotransferase, lower C-reactive protein, and lesser radiologic involvement compared to those without LTBI (p < 0.05). Similarly, among the mild COVID-19 subgroup, those with LTBI had higher lymphocyte and monocyte counts and lesser radiologic involvement than those without LTBI (p < 0.05). Conclusions LTBI patients appear to have milder disease, higher lymphocyte and monocyte count, higher NL ratio, and lesser radiographic involvement. This observation needs to be studied in larger studies using interferon release assays.

Atorvastatin and Aspirin as Adjuvant Therapy in Patients with SARS-CoV-2 Infection: A structured summary of a study protocol for a randomised controlled trial.

OBJECTIVES: To assess the impact of adding statin (atorvastatin) and/or aspirin on clinical deterioration in patients infected with SARS-CoV-2 who require hospitalisation. The safety of these drugs in COVID-19 patients will also be evaluated. TRIAL DESIGN: This is a single-centre, prospective, four-arm parallel design, open-label, randomized control trial. PARTICIPANTS: The study will be conducted at National Cancer Institute (NCI), Jhajjar, Haryana, which is a part of All India Institute of Medical Sciences (AIIMS), New Delhi, and has been converted into a dedicated COVID-19 management centre since the outbreak of the pandemic. All RT-PCR confirmed cases of SARS-CoV-2 infection with age ≥ 40 years and < 75 years requiring hospital admission (patients with WHO clinical improvement ordinal score 3 to 5) will be included in the trial. Written informed consent will be taken for all recruited patients. Patients with a critical illness (WHO clinical improvement ordinal score > 5), documented significant liver disease/dysfunction (aspartate transaminase [AST] / alanine aminotransferase [ALT] > 240), myopathy and rhabdomyolysis (creatine phosphokinase [CPK] > 5x normal), allergy or intolerance to statins or aspirin, prior statin or aspirin use within 30 days, history of active gastrointestinal bleeding in past three months, coagulopathy, thrombocytopenia (platelet count < 100000/ dl), pregnancy, active breastfeeding, or inability to take oral or nasogastric medications will be excluded. Patients refusing to give written consent and taking drugs that are known to have a significant drug interaction with statin or aspirin [including cyclosporine, HIV protease inhibitors, hepatitis C protease inhibitor, telaprevir, fibric acid derivatives (gemfibrozil), niacin, azole antifungals (itraconazole, ketoconazole), clarithromycin and colchicine] will also be excluded from the trial. INTERVENTION AND COMPARATOR: In this study, the benefit and safety of atorvastatin (statin) and/or aspirin as adjuvant therapy will be compared with the control group receiving usual care for management of COVID-19. Atorvastatin will be prescribed as 40 mg oral tablets once daily for ten days or until discharge, whichever is earlier. The dose of aspirin will be 75 mg once daily for ten days or until discharge, whichever is earlier. All other therapies will be administered according to the institute's COVID-19 treatment protocol and the treating physician's clinical judgment. MAIN OUTCOMES: All study participants will be prospectively followed up for ten days or until hospital discharge, whichever is longer for outcomes. The primary outcome will be clinical deterioration characterized by progression to WHO clinical improvement ordinal score ≥ 6 (i.e., endotracheal intubation, non-invasive mechanical ventilation, pressor agents, renal replacement therapy, ECMO requirement, and mortality). The secondary outcomes will be change in serum inflammatory markers (C-reactive protein and Interleukin-6), Troponin I, and creatine phosphokinase (CPK) from time zero to 5th day of study enrolment or 7th day after symptom onset, whichever is later. Other clinical outcomes that will be assessed include progression to Acute Respiratory Distress Syndrome (ARDS), shock, ICU admission, length of ICU admission, length of hospital admission, and in-hospital mortality. Adverse drug effects like myalgia, myopathy, rhabdomyolysis, hepatotoxicity, and bleeding will also be examined in the trial to assess the safety of the interventions. RANDOMISATION: The study will use a four-arm parallel-group design. A computer-generated permuted block randomization with mixed block size will be used to randomize the participants in a 1:1:1:1 ratio to group A (atorvastatin with conventional therapy), group B (aspirin with conventional therapy), group C (aspirin + atorvastatin with conventional therapy), and group D (control; only conventional therapy). BLINDING (MASKING): The study will be an open-label trial. NUMBERS TO BE RANDOMISED (SAMPLE SIZE): As there is no existing study that has evaluated the role of aspirin and atorvastatin in COVID-19 patients, formal sample size calculation has not been done. Patients satisfying the inclusion and exclusion criteria will be recruited during six months of study period. Once the first 200 patients are included in each arm (i.e., total 800 patients), the final sample size calculation will be done on the basis of the interim analysis of the collected data. TRIAL STATUS: The institutional ethical committee has approved the study protocol (Protocol version 3.0 [June 2020]). Participant recruitment starting date: 28th July 2020 Participant recruitment ending date: 27th January 2021 Trial duration: 6 months TRIAL REGISTRATION: The trial has been prospectively registered in Clinical Trial Registry - India (ICMR- NIMS): Reference no. CTRI/2020/07/026791 (registered on 25 July 2020)]. FULL PROTOCOL: The full protocol is attached as an additional file, accessible from the Trials website (Additional file 1). In the interest of expediting dissemination of this material, the familiar formatting has been eliminated; this Letter serves as a summary of the key elements of the full protocol.

Neu Laxova syndrome.

NeuLaxova syndrome (NLS) is a rare congenital abnormality involving multiple systems. Until date, only 60 cases of this syndrome have been reported in the literature. A stillborn fetus from a 23-year-old female with bad obstetrics history and consanguinity marriage, presented at 41 weeks gestation and not appreciating fetal movements for the past 3 days. Ultrasound examination revealed the absence of fetal cardiac activity and features of growth retardation. The fetus was sent for pathological examination. At autopsy, fetus had ichthyosis over the scalp and face, depressed nasal bridge, low set ears, microcephaly, slopping forehead, wide interdigital spaces, edema of hands and feet, hypoplastic penis, right leg showed congenital talipes equinovarus and left leg showed rocker bottom foot. On dissection, all organs were in situ. Both lungs were hypoplastic, brain was atrophied, and heart showed right ventricle hypertrophied. A diagnosis of NLS was made. Genetic counseling and early serial ultrasound examination should be performed at high-risk families because of its autosomal recessive mode of inheritance. Early diagnosis of the disease may offer termination of the pregnancy as an option. The prognosis is poor, and the affected newborns are either stillborn or die immediately after birth.

Reagent strips test: A simplified method for prompt analysis of cerebrospinal fluid in neurological disorders in emergency.

INTRODUCTION: The initial examination of cerebrospinal fluid (CSF) for proteins, glucose, and leukocytes, is still the gold standard investigation in some neurological conditions like meningitis. Aims and objective of the present study were to determine the accuracy of urinary reagent strip for semi-quantitative analysis of protein, glucose, leucocytes and erythrocytes in CSF along with its role in emergency for rapid diagnosis of neurological conditions. MATERIALS AND METHODS: 360 samples of CSF were received in emergency laboratory of a tertiary care hospital in a period of 6 months. All CSF samples were subjected to two types of tests-the definitive test and the index test. CSF microscopy for leucocyte and erythrocyte as well as biochemistry tests for protein and glucose on automated biochemistry analyser were considered as definitive test. The index test for protein, glucose, leucocyte and erythrocyte for the same sample was conducted by Combur-10 urinary reagent strip. RESULT: The strip test showed a sensitivity of 99% and a specificity of 54% for proteins. With respect to glucose, the strip was highly sensitive (98%) as well as highly specific (92%).It showed a high sensitivity and specificity for leukocytes ≥ 10 cells/cumm i.e.100% and 96% respectively. For CSF erythrocytes sensitivity and specificity was 100. CONCLUSION: Urinary reagent strip can be used routinely for rapid analysis of CSF. If implemented, this technique will be useful especially in emergency settings as well as in areas with limited resources.