Conv. Plasma
Nigella Sativa
Peg.. Lambda

All convalescent plasma..
Meta analysis
Home COVID-19 treatment researchConvalescent PlasmaConv. Plasma (more..)
Melatonin Meta
Bromhexine Meta Metformin Meta
Budesonide Meta
Cannabidiol Meta Molnupiravir Meta
Colchicine Meta
Conv. Plasma Meta
Curcumin Meta Nigella Sativa Meta
Ensovibep Meta Nitazoxanide Meta
Famotidine Meta Paxlovid Meta
Favipiravir Meta Peg.. Lambda Meta
Fluvoxamine Meta Quercetin Meta
Hydroxychlor.. Meta Remdesivir Meta
Ivermectin Meta
Lactoferrin Meta

All Studies   All Outcomes   Recent:  
0 0.5 1 1.5 2+ Mortality -270% Improvement Relative Risk Conv. Plasma  Krishnan et al.  LATE TREATMENT Is late treatment with convalescent plasma beneficial for COVID-19? Retrospective study in India (March 2020 - March 2021) Higher mortality with convalescent plasma (not stat. sig., p=0.074) Krishnan et al., The American J. Tropi.., Apr 2023 Favors conv. plasma Favors control

Predictors of Mortality among Patients Hospitalized with COVID-19 during the First Wave in India: A Multisite Case-Control Study

Krishnan et al., The American Journal of Tropical Medicine and Hygiene, doi:10.4269/ajtmh.22-0705
Apr 2023  
  Source   PDF   All Studies   Meta AnalysisMeta
Case control study with 2,431 hospitalized COVID-19 patients in India, showing higher mortality with convalescent plasma treatment, without statistical significance.
This study includes convalescent plasma and HCQ.
risk of death, 270.0% higher, OR 3.70, p = 0.07, adjusted per study, case control OR, multivariable.
Effect extraction follows pre-specified rules prioritizing more serious outcomes. Submit updates
Krishnan et al., 5 Apr 2023, retrospective, India, peer-reviewed, mean age 52.8, 48 authors, study period March 2020 - March 2021.
All Studies   All Outcomes   Submit Updates or Corrections
This PaperConv. PlasmaAll
Predictors of Mortality among Patients Hospitalized with COVID-19 during the First Wave in India: A Multisite Case-Control Study
Anand Krishnan, Rakesh Kumar, Ritvik Amarchand, Anant Mohan, Ravi Kant, Ankit Agarwal, Poorvi Kulshreshtha, Prasan Kumar Panda, Ajeet Singh Bhadoria, Neeraj Agarwal, Bijit Biswas, Rathish Nair, Naveet Wig, Rajesh Malhotra, Sushma Bhatnagar, Richa Aggarwal, Kapil Dev Soni, Nirupam Madan, Anjan Trikha, Pawan Tiwari, Angel Rajan Singh, Mukta Wyawahare, Venugopalan Gunasekaran, Dineshbabu Sekar, AIIMS, Jodhpur Sanjeev Misra, Pankaj Bhardwaj, Akhil Dhanesh Goel, Naveen Dutt, Deepak Kumar, Nitin M Nagarkar, Abhiruchi Galhotra, Atul Jindal, Utsav Raj, Ajoy Behera, Sabbah Siddiqui, Arun Kokane, Rajnish Joshi, Abhijit Pakhare, Farhan Farooque, Sai Pawan, Pradeep Deshmukh, Ranjan Solanki, Bharatsing Rathod, Vibha Dutta, Prasanta Raghab Mohapatra, Manoj Kumar Panigrahi, Sadananda Barik, Randeep Guleria
The American Journal of Tropical Medicine and Hygiene, doi:10.4269/ajtmh.22-0705
Severe acute respiratory syndrome coronavirus 2 disease (COVID-19) has caused more than 6 million deaths globally. Understanding predictors of mortality will help in prioritizing patient care and preventive approaches. This was a multicentric, unmatched, hospital-based case-control study conducted in nine teaching hospitals in India. Cases were microbiologically confirmed COVID-19 patients who died in the hospital during the period of study and controls were microbiologically confirmed COVID-19 patients who were discharged from the same hospital after recovery. Cases were recruited sequentially from March 2020 until December-March 2021. All information regarding cases and controls was extracted retrospectively from the medical records of patients by trained physicians. Univariable and multivariable logistic regression was done to assess the association between various predictor variables and deaths due to COVID-19. A total of 2,431 patients (1,137 cases and 1,294 controls) were included in the study. The mean age of patients was 52.8 years (SD: 16.5 years), and 32.1% were females. Breathlessness was the most common symptom at the time of admission (53.2%). Increasing age (adjusted odds ratio [aOR]: 46-59 years, 3.4 [95% CI: 1.5-7.7]; 60-74 years, 4.1 [95% CI: 1.7-9.5]; and $ 75 years, 11.0 [95% CI: 4.0-30.6]); preexisting diabetes mellitus (aOR: 1.9 [95% CI: 1.2-2.9]); malignancy (aOR: 3.1 [95% CI: 1.3-7.8]); pulmonary tuberculosis (aOR: 3.3 [95% CI: 1.2-8.8]); breathlessness at the time of admission (aOR: 2.2 [95% CI: 1.4-3.5]); high quick Sequential Organ Failure Assessment score at the time of admission (aOR: 5.6 [95% CI: 2.7-11.4]); and oxygen saturation , 94% at the time of admission (aOR: 2.5 [95% CI: 1.6-3.9]) were associated with mortality due to COVID-19. These results can be used to prioritize patients who are at increased risk of death and to rationalize therapy to reduce mortality due to COVID-19.
Agarwal, Biswas, Lohani, Epidemiological determinants of COVID-19 infection and mortality: a study among patients presenting with severe acute respiratory illness during the pandemic in Bihar, India. Niger Postgrad Med J
Agarwal, Mukherjee, Kumar, Chatterjee, Bhatnagar et al., Convalescent plasma in the management of moderate Covid-19 in adults in India: open label phase II multicentre randomized controlled trial (PLACID Trial), BMJ
Arshad, Treatment with hydroxychloroquine, azithromycin, and combination in patients hospitalized with COVID-19, Int J Infect Dis
Bairwa, Kumar, Ajmal, Bahurupi, Kant, Predictors of critical illness and mortality based on symptoms and initial physical examination for patients with SARS-CoV-2: a retrospective cohort study, J Infect Public Health
Bellan, Patti, Hayden, Azzolina, Pirisi et al., Fatality rate and predictors of mortality in an Italian cohort of hospitalized COVID-19 patients, Sci Rep
Bepouka, Predictors of mortality in COVID-19 patients at Kinshasa University Hospital, Democratic Republic of the Congo, from March to, Pan Afr Med J
Berenguer, Characteristics and predictors of death among 4035 consecutively hospitalized patients with COVID-19 in Spain, Clin Microbiol Infect
Bhargava, Sharma, Akagi, Szpunar, Saravolatz, Predictors for in-hospital mortality from coronavirus disease 2019 (COVID-19) infection among adults aged 18-65 years, Infect Control Hosp Epidemiol
Cao, Hiyoshi, Montgomery, Covid-19 case-fatality rate and demographic and socioeconomic influencers: worldwide spatial regression analysis based on country-level data, BMJ Open
Castelnuovo, Common cardiovascular risk factors and in-hospital mortality in 3,894 patients with COVID-19: survival analysis and machine learning-based findings from the multicentre Italian CORIST Study, Nutr Metab Cardiovasc Dis
Chidambaram, Factors associated with disease severity and mortality among patients with COVID-19: a systematic review and meta-analysis, PLoS One
Corona, Pizzocaro, Vena, Rastrelli, Semeraro et al., Diabetes is most important cause for mortality in COVID-19 hospitalized patients: systematic review and meta-analysis, Rev Endocr Metab Disord
Dorjee, Kim, Bonomo, Dolma, Prevalence and predictors of death and severe disease in patients hospitalized due to COVID-19: a comprehensive systematic review and meta-analysis of 77 studies and 38,000 patients, PLoS One
Gopalan, Predictors of mortality among hospitalized COVID-19 patients and risk score formulation for prioritizing tertiary care-an experience from south India, PLOS One
Gupta, Ish, Kumar, Dev, Yadav et al., Evaluation of the clinical profile, laboratory parameters and outcome of two hundred COVID-19 patients from a tertiary centre in India, Monaldi Arch Chest Dis
Imam, Odish, Gill, Connor, Armstrong et al., Older age and comorbidity are independent mortality predictors in a large cohort of 1305 COVID-19 patients in Michigan, United States, J Intern Med
Jain, Iyengar, Vaish, Vaishya, Differential mortality in COVID-19 patients from India and western countries, Diabetes Metab Syndr
Jaspard, Clinical presentation, outcomes and factors associated with mortality: a prospective study from three COVID-19 referral care centres in West Africa, Int J Infect Dis
Mesas, Cavero-Redondo, Alvarez-Bueno, Cabrera, Deandrade et al., Predictors of in-hospital COVID-19 mortality: a comprehensive systematic review and meta-analysis exploring differences by age, sex and health conditions, PLoS One
Recovery, Group, Horby, Dexamethasone in hospitalized patients with Covid-19, N Engl J Med
Recovery, Group, Horby, Effect of hydroxychloroquine in hospitalized patients with Covid-19, N Engl J Med
Tian, Jiang, Yao, Nicholson, Li et al., Predictors of mortality in hospitalized COVID-19 patients: a systematic review and meta-analysis, J Med Virol
Who Solidarity, Consortium, Pan, Repurposed antiviral drugs for Covid-19: interim WHO Solidarity Trial results, N Engl J Med
Late treatment
is less effective
Please send us corrections, updates, or comments. Vaccines and treatments are complementary. All practical, effective, and safe means should be used based on risk/benefit analysis. No treatment, vaccine, or intervention is 100% available and effective for all current and future variants. We do not provide medical advice. Before taking any medication, consult a qualified physician who can provide personalized advice and details of risks and benefits based on your medical history and situation. FLCCC and WCH provide treatment protocols.
  or use drag and drop