Analgesics
Antiandrogens
Azvudine
Bromhexine
Budesonide
Colchicine
Conv. Plasma
Curcumin
Famotidine
Favipiravir
Fluvoxamine
Hydroxychlor..
Ivermectin
Lifestyle
Melatonin
Metformin
Minerals
Molnupiravir
Monoclonals
Naso/orophar..
Nigella Sativa
Nitazoxanide
Paxlovid
Quercetin
Remdesivir
Thermotherapy
Vitamins
More

Other
Feedback
Home
Top
Results
Abstract
All HCQ studies
Meta analysis
 
Feedback
Home
next
study
previous
study
c19hcq.org COVID-19 treatment researchHCQHCQ (more..)
Melatonin Meta
Metformin Meta
Azvudine Meta
Bromhexine Meta Molnupiravir Meta
Budesonide Meta
Colchicine Meta
Conv. Plasma Meta Nigella Sativa Meta
Curcumin Meta Nitazoxanide Meta
Famotidine Meta Paxlovid Meta
Favipiravir Meta Quercetin Meta
Fluvoxamine Meta Remdesivir Meta
Hydroxychlor.. Meta Thermotherapy Meta
Ivermectin Meta

All Studies   Meta Analysis    Recent:   
0 0.5 1 1.5 2+ Mortality -4% Improvement Relative Risk HCQ for COVID-19  Kokturk et al.  LATE TREATMENT Is late treatment with HCQ beneficial for COVID-19? Retrospective 1,500 patients in Turkey No significant difference in mortality c19hcq.org Kokturk et al., Respiratory Medicine, Apr 2021 Favors HCQ Favors control

The predictors of COVID-19 mortality in a nationwide cohort of Turkish patients

Kokturk et al., Respiratory Medicine, doi:10.1016/j.rmed.2021.106433
Apr 2021  
  Post
  Facebook
Share
  Source   PDF   All   Meta
HCQ for COVID-19
1st treatment shown to reduce risk in March 2020
 
*, now known with p < 0.00000000001 from 422 studies, recognized in 42 countries.
No treatment is 100% effective. Protocols combine complementary and synergistic treatments. * >10% efficacy in meta analysis with ≥3 clinical studies.
4,000+ studies for 60+ treatments. c19hcq.org
Retrospective 1,500 hospitalized late stage (median SaO2 87.7) patients in Turkey, showing no significant difference with HCQ treatment.
risk of death, 3.8% higher, RR 1.04, p = 0.97, treatment 62 of 1,382 (4.5%), control 5 of 118 (4.2%), adjusted per study, odds ratio converted to relative risk.
Effect extraction follows pre-specified rules prioritizing more serious outcomes. Submit updates
Kokturk et al., 28 Apr 2021, retrospective, database analysis, Turkey, peer-reviewed, 68 authors.
This PaperHCQAll
The predictors of COVID-19 mortality in a nationwide cohort of Turkish patients
Nurdan Kokturk, Cenk Babayigit, Seval Kul, Pelin Duru Cetinkaya, Sibel Atis Nayci, Serap Argun Baris, Oguz Karcioglu, Pinar Aysert, Ilim Irmak, Aycan Akbas Yuksel, Yonca Sekibag, Oya Baydar Toprak, Emel Azak, Sait Mulamahmutoglu, Caglar Cuhadaroglu, Aslihan Demirel, Bugra Kerget, Burcu Baran Ketencioglu, Hasan Selcuk Ozger, Gulcihan Ozkan, Zeynep Ture, Begum Ergan, Vildan Avkan Oguz, Oguz Kilinc, Merve Ercelik, Tansu Ulukavak Ciftci, Ozlem Alici, Esra Nurlu Temel, Ozlem Ataoglu, Asena Aydin, Dilek Cetiner Bahcetepe, Yusuf Taha Gullu, Fusun Fakili, Figen Deveci, Neslihan Kose, Muge Meltem Tor, Gulsah Gunluoglu, Sedat Altin, Teyfik Turgut, Tibel Tuna, Onder Ozturk, Oner Dikensoy, Pinar Yildiz Gulhan, Ilknur Basyigit, Hasim Boyaci, I Kivilcim Oguzulgen, Sermin Borekci, Bilun Gemicioglu, Firat Bayraktar, Osman Elbek, Ismail Hanta, Hacer Kuzu Okur, Gulseren Sagcan, Oguz Uzun, Metin Akgun, Goksel Altinisik, Berna Dursun, Ebru Cakir Edis, Erkmen Gulhan, Fusun Oner Eyuboglu, Okkes Gultekin, Yavuz Havlucu, Metin Ozkan, Aysin Sakar Coskun, Abdullah Sayiner, Ali Fuat Kalyoncu, Oya Itil, Hasan Bayram
Respiratory Medicine, doi:10.1016/j.rmed.2021.106433
The COVID-19-related death rate varies between countries and is affected by various risk factors. This multicenter registry study was designed to evaluate the mortality rate and the related risk factors in Turkey. We retrospectively evaluated 1500 adults with COVID-19 from 26 centers who were hospitalized between March 11 and July 31, 2020. In the study group, 1041 and 459 cases were diagnosed as definite and highly probable cases, respectively. There were 993 PCR-positive cases (66.2%). Among all cases, 1144 (76.3%) were diagnosed with non-severe pneumonia, whereas 212 (14.1%) had severe pneumonia. Death occurred in 67 patients, corresponding to a mortality rate of 4.5% (95% CI:3.5-5.6). The univariate analysis demonstrated that various factors, including male sex, age ≥65 years and the presence of dyspnea or confusion, malignity, chronic obstructive lung disease, interstitial lung disease, immunosuppressive conditions, severe pneumonia, multiorgan dysfunction, and sepsis, were positively associated with mortality. Favipiravir, hydroxychloroquine and azithromycin were not associated with survival. Following multivariate analysis, male sex, severe pneumonia, multiorgan dysfunction, malignancy, sepsis and interstitial lung diseases were found to be independent risk factors for mortality. Among the biomarkers, procalcitonin levels on the 3rd-5th days of admission showed the strongest associations with mortality (OR: 6.18;). This study demonstrated that the mortality rate in hospitalized patients in the early phase of the COVID-19 pandemic was a serious threat and that those patients with male sex, severe pneumonia, multiorgan dysfunction, malignancy, sepsis and interstitial lung diseases were at increased risk of mortality; therefore, such patients should be closely monitored.
Author's contributions NK, HB, OI, CB, FOE, AS, ECE, BD, and AFK designed the study; NK, CB, PDC, SAB, OK, PA, II, AAY, YS, OBT, EA, SM, CC, AD, BK, BBK, HSO, GO, ZTY, BE, VAO, OK, ME, TUC, OA, ENT, OA, AA, DCB, YTG, FF, FD, NK, MMT, GG, SA, TT, TT, OO, OD, PYG, IB, HB, IKO, SB, BG, FB, OE, IH, HKO, GS, OU, and MA collected the data; SK and SAN analyzed the data; NK, CB, SK, SAN searched the literature and wrote the manuscript; NK, SAB, PDC, BG, OG, EM, MMT, GA and SAB edited and revised manuscript according to journal's instructions; NK, FOE, AS, MMT, OE, BG, YH, ASC and HB edited and controlled the final version of the manuscript. All of the authors approved the final version of the manuscript. Disclaimers The views expressed in this article do not communicate an official position of the Turkish Thoracic Society. Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
References
Aksel, Early predictors of mortality for moderate to severely ill patients with Covid-19, Am. J. Emerg. Med, doi:10.1016/j.ajem.2020.08.076
Altunok, Clinical characteristics of adult patients hospitalized with laboratory-confirmed COVID-19 pneumonia, J. Infect. Chemother
Bahl, Early predictors of in-hospital mortality in patients with COVID-19 in a large American cohort, Intern. Emerg. Med
Bauchner, Excess deaths and the great pandemic of 2020, J. Am. Med. Assoc
Bayram, Interference in scientific research on COVID-19 in Turkey, Lancet
Cakir, COVID-19 in Turkey: lessons learned, J. Epidemiol. Glob. Health
Caliskan, Smoking and comorbidities are associated with COVID-19 severity and mortality in 565 patients treated in Turkey: a retrospective observational study, Rev. Assoc. Med. Bras
Chidambaram, Factors associated with disease severity and mortality among patients with COVID-19: a systematic review and meta-analysis, PloS One
Chousein, Is there any effect of smoking status on severity and mortality of hospitalized patients with COVID-19 pneumonia? Tuberk, Toraks
Du, Predictors of mortality for patients with COVID-19 pneumonia caused by SARS-CoV-2: a prospective cohort study, Eur. Respir. J
Esme, Older adults with coronavirus disease 2019; a nationwide study in Turkey, J. Gerontol. A. Biol. Sci. Med. Sci, doi:10.1093/gerona/glaa219.glaa219
Garrido, Clinical value of procalcitonin in critically ill patients infected by SARS-CoV-2, Am. J. Emerg. Med, doi:10.1016/j.ajem.2020.11.011
Horby, Dexamethasone in hospitalized patients with COVID-19 -preliminary report, N. Engl. J. Med
Hu, Procalcitonin levels in COVID-19 patients, Int. J. Antimicrob. Agents
Huang, C-reactive protein, procalcitonin, D-dimer, and ferritin in severe coronavirus disease-2019: a meta-analysis, Ther. Adv. Respir. Dis
Izcovich, Prognostic factors for severity and mortality in patients infected with COVID-19: a systematic review, PloS One
Jin, Gender differences in patients with COVID-19: focus on severity and mortality, Front. Public. Health
Karanasos, Impact of smoking status on disease severity and mortality of hospitalized patients with COVID-19 infection: a systematic review and metaanalysis, Nicotine Tob. Res
Kocayigit, Characteristics and outcomes of critically Ill patients with Covid-19 in Sakarya, Turkey: a single center cohort study, Turk. J. Med. Sci, doi:10.3906/sag-2005-57
Köktürk, COVID-19 pandemic and the global perspective of Turkish thoracic society, Turk. Thorac. J
Li, COVID-19 patients' clinical characteristics, discharge rate, and fatality rate of meta-analysis, J. Med. Virol
Martins-Filho, Factors associated with mortality in patients with COVID-19. A quantitative evidence synthesis of clinical and laboratory data, Eur. J. Intern. Med
Matta, Morbidity and mortality trends of Covid 19 in top 10 countries, Indian J. Tubercul
Onder, Case-fatality rate and characteristics of patients dying in relation to COVID-19 in Italy, J. Am. Med. Assoc
Ranieri, Acute respiratory distress syndrome: the Berlin Definition, J. Am. Med. Assoc
Ravelli, Classification criteria for macrophage activation syndrome complicating systemic juvenile idiopathic arthritis: a European league against rheumatism/American college of rheumatology/Paediatric rheumatology international trials organisation collaborative initiative, Ann. Rheum. Dis
Richardson, Presenting characteristics, comorbidities, and outcomes among 5700 patients hospitalized with COVID-19 in the New York City area, J. Am. Med. Assoc
Salton, Prolonged low-dose methylprednisolone in patients with severe COVID-19 pneumonia, Open Forum Infect. Dis
Sun, Characteristics and prognostic factors of disease severity in patients with COVID-19: the Beijing experience, J. Autoimmun
Tang, Anticoagulant treatment is associated with decreased mortality in severe coronavirus disease 2019 patients with coagulopathy, J. Thromb. Haemostasis, doi:10.1111/jth.14817
Thompson, Effect sizes, confidence intervals, and confidence intervals for effect sizes, Psychol. Sch
Varol, The impact of charlson comorbidity index on mortality from SARS-CoV-2 virus infection and a novel COVID-19 mortality index: CoLACD, Int. J. Clin. Pract, doi:10.1111/ijcp.13858.e13858
Viecca, Enhanced platelet inhibition treatment improves hypoxemia in patients with severe Covid-19 and hypercoagulability. A case control, proof of concept study, Pharmacol. Res
Watson, Interpreting a COVID-19 test result, BMJ
Who, WHO Coronavirus Disease (COVID-19) Dashboard
Worldometer, Countries where covid-19 has spread
Wu, Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72 314 cases from the Chinese center for disease control and prevention, J. Am. Med. Assoc
Yadaw, Clinical Predictors of COVID-19 Mortality, doi:10.1101/2020.05.19.20103036
Zhang, Hospitals' responsibility in response to the threat of infectious disease outbreak in the context of the coronavirus disease 2019 (COVID-19) pandemic: implications for low-and middle-income countries, Glob. Health J
Late treatment
is less effective
Please send us corrections, updates, or comments. c19early involves the extraction of 100,000+ datapoints from thousands of papers. Community updates help ensure high accuracy. Treatments and other interventions are complementary. All practical, effective, and safe means should be used based on risk/benefit analysis. No treatment 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   
Submit