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1.
Arab Gulf Journal of Scientific Research ; 39(Special Issue (2):48-59, 2021.
Article in English | GIM | ID: covidwho-1929360

ABSTRACT

Background: Coronavirus disease 2019 (COVID-19) associated inflammatory cytokine storm that worsens COVID-19, relies heavily on the inflammatory response. IL-6, a TH1 cytokine, PCT and CRP have been linked to serious illness and a higher mortality rate. We further tried to evaluate the role of these indicators and their association with clinical severity in COVID-19 patients. Material and Methods: Eighty-three consecutive patients with age 18 years with RT-PCR test positive for SARS-CoV-2 were included in the study. Demographic characteristics (age and sex), underlying co-morbidities, symptoms, physical findings, and laboratory tests of the patients were recorded. All patients were categorized as having mild, moderate, and severe COVID-19 disease, according to the Indian Council of Medical Research (ICMR). The levels of IL-6 and PCT were estimated by electrochemiluminescence immunoassay (ECLIA) using Cobas-e411 Immunoassay System, and Quantitative CRP was done by Unicorn-230 automated biochemistry analyzer to find out their correlation with disease severity and outcome. Multiple Regression was performed to find out factors associated with the adverse outcome of the disease. Result: Mean age of patients was 51 years. IL-6, CRP, and PCT levels increased in 73%, 68.0%, and 8.2% patients on admission, respectively. The most common co-morbidity associated with the disease was hypertension (25%), followed by diabetes (24%) and respiratory disease (15%). Increased IL-6, CRP, and PCT levels were found in 77 percent, 79 percent, and 20 percent of patients, respectively. We found that IL-6 (P0.05), CRP (P0.05), and PCT (P0.05) were significantly raised in COVID-19 patients with increasing severity of the disease. The Area under the receiver operating characteristic (AUROC) of these parameters ranged between 0.65 and 0.8 (IL-6, 0.828;CRP, 0.809;and PCT, 0.658), indicating a reliable biomarker to assess clinical severity.

2.
researchsquare; 2022.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-1850369.v1

ABSTRACT

Background: Increased occurrence of mucormycosis in India during the second wave of the COVID-19 pandemic in early 2021 in India subsequently prompted us to undertake a multi-site case-control investigation. The objectives were to examine the monthly trend of Covid-19 Associated Mucormycosis (CAM) cases among in-patients and to identify factors associated with it.Methods: Eleven study sites were involved across India and archived records since 1st January till 30th September, 2021 were used for trend analysis. The cases and controls were enrolled during 15th June 2021 to 30th September 2021. Data were collected using a semi-structured questionnaire. Among 1211 enrolled participants, 336 were CAM cases and 875 were COVID-19 positive non-mucormycosis controls. Results: Admitted CAM-case number reached highest point in May 2021 after a month of peak admission for COVID-19. Odds of developing CAM increased with the history of working in a dusty environment (adjusted odds ratio; aOR 3.24, 95%CI: 1.34, 7.82), diabetes mellitus (aOR: 31.83, 95%CI: 13.96, 72.63), longer duration of hospital stay (aOR: 1.06, 95%CI: 1.02, 1.11) and use of methyl prednisolone (aOR: 2.71, 95%CI: 1.37, 5.37) following adjustment for age, gender, occupation, education, type of houses used for living, requirement of ventilatory support and route of steroid administration. Higher proportion of CAM cases required supplemental oxygen compared to the controls; use of non-rebreather mask (NRBM) was associated as a protective factor against mucormycosis compared to face masks (aOR: 0.18, 95%CI: 0.08, 0.41). Genomic sequencing of archived respiratory samples showed similar presence of Delta and Delta derivates in both cases and controls.Conclusions: Appropriate management of hyperglycemia, judicious use of steroids and use of NRBM during oxygen supplementation among COVID-19 patients bear the potential to reduce the risk of occurrence of mucormycosis. Avoiding exposure to dusty environment would add to prevention efforts.  


Subject(s)
COVID-19
3.
Kamal Kajal; Karan Singla; Goverdhan Dutt Puri; Ashish Bhalla; Aparna Mukherjee; Gunjan Kumar; Alka Turuk; Madhumita Premkumar; Varun Mahajan; Thrilok Chander Bingi; Pankaj Bhardwaj; Mary John; Geetha R Menon; Damodar Sahu; Samiran Panda; Vishnu Vardhan Rao; Rajarao Mesipogu; Mohammed Ayaz Mohiuddin; Vinaya Sekhar Aedula; Manoj K Gupta; Akhil D Goel; Vikas Loomba; Maria Thomas; U K Ojha; R R Jha; Veeresh Salgar; Santosh Algur; Ashish Pathak; Ashish Sharma; Manju Purohit; Himanshu Dandu; Amit Gupta; Vivek Kumar; Lisa Sarangi; Mahesh Rath; Tridip Dutta Baruah; Pankaj Kumar Kannauje; Ajit Kumar; Rajnish Joshi; Saurabh Saigal; Abhishek Goel; Janakkumar R Khambholja; Amit Patel; Surabhi Madan; Nitesh Shah; V K Katyal; Deepinder Singh; Sandeep Goyal; Arti Shah; Amit Chauhan; Bhavesh Patel; Kala Yadhav M L; Dayananda V P; Chetana G S; Anita Desai; Manisha Panchal; Mayank Anderpa; Payal Tadavi; Sourin Bhuniya; Manoj Kumar Panigrahi; Shakti Kumar Bal; Sachin K Shivnitwar; Prajakta Lokhande; Srikanth Tripathy; Vijay Nongpiur; Star Pala; Md Jamil; Bal Kishan Gupta; Jigyasa Gupta; Rashmi Upadhyay; Saurabh Srivastava; Simmi Dube; Preksha Dwivedi; Rita Saxena; Mohammed Shameem; Nazish Fatima; Shariq Ahmed; Nehal M. Shah; Soumitra Ghosh; Yogiraj Ray; Avijit Hazra; Arunansu Talukdar; Naveen Dulhani; Nyanthung Kikon; Subhasis Mukherjee; Susenjit Mallick; Lipilekha Patnaik; Sudhir Bhandari; Abhishek Agrawal; Rajaat Vohra; Nikita Sharma; Rajiv Kumar Bandaru; Mehdi Ali Mirza; Jaya Chakravarty; Sushila Kataria; Ratnamala Choudhury; Soumyadip Chatterji; M.Pavan Kumar.
researchsquare; 2022.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-1740554.v1

ABSTRACT

BackgroundSevere Corona virus disease (COVID-19) is associated with high mortality. Although single centre intensive care units (ICU) have reported clinical characteristics and outcomes, no large scale multicentric study from India has been published. The present retrospective, multi-centre study was aimed to describe the predictors and outcomes of COVID-19 patients requiring ICU admission from COVID-19 Registry of Indian council of Medical Research (ICMR), India.MethodsProspectively collected data from multiple participating institutions was entered in the electronic National Clinical Registry of COVID 19. We enrolled patients aged>18 years with COVID-19 pneumonia requiring ICU admission between March 2020 and August 2021. Exclusion criteria were negative RT PCR, death within 24 hours of ICU admission, or patients with incomplete data in the registry Their demographic characteristics, laboratory variables, ICU severity indices, treatment strategies and outcomes were analysed.ResultsA total of 5865 patients, with mean age 56±15 years, with 3840/5865 (65.4%) men, were enrolled in the ICMR registry.. Overall mortality was 2535/5865 (43.5%). Non-survivors were older than survivors (58.2±15.4 years vs 53.6 ±14.7 years; P=0.001). Non-survivors had multiple comorbidities (n=1951, 52.9%) with hypertension (47.2%) and diabetes (45.6%) being the most common, higher creatinine (1.6 ± P=0.001, high D-dimer (1.56 vs 1.37, P=0.001), higher CT severity index (16.8±5.2 vs 13.5 ±5.47 ) compared to  survivors. Non survivors had longer hospital and ICU stay (P=0.001). On multivariate regression analysis, high NLR (HR 1.017, 95% CI 1.005- 1.029, P=0.001), high CRP (HR 1.008, 95% CI 1.006- 1.010, P=0.001), high D dimer ((HR 1.089, 95% CI 1.065- 1.113, P=0.001) were associated with mechanical ventilation while younger age, (HR 0.974, CI 0.965-0.983, p=0.001), high D dimer (HR-1.014, CI 1.001-1.027, P=0.035) and use of prophylactic LMWH (HR 0.647, CI 0.527-0.794, p=0.001) were independently associated with mortality. ConclusionIn this large retrospective study of 5865 critically ill COVID 19 patients admitted to ICU, overall mortality was 2535/5865 (43.5%). Age, high D dimer, CT Severity score and use of prophylactic LMWH were independently associated with mortality. 


Subject(s)
COVID-19
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