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10.1177/21501327211035094

http://scihub22266oqcxt.onion/10.1177/21501327211035094
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34315299!8323444!34315299
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suck abstract from ncbi

pmid34315299      J+Prim+Care+Community+Health 2021 ; 12 (?): 21501327211035094
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  • Profile of COVID-19 Patients at Zero Delay COVID-19 Ward, Tertiary Care Hospital in South India #MMPMID34315299
  • Etherajan T; Zahir Hussain S; Rajendran K; Ramachandran A; Natrajan M; Venugopalan N; Elumalai K; Annamalai G; Mathiyalagan G; Panneerselvam P; Pamarthi J; Rajaram M; Anandan G; Natarajan G
  • J Prim Care Community Health 2021[Jan]; 12 (?): 21501327211035094 PMID34315299show ga
  • INTRODUCTION: Coronavirus disease 2019 (COVID-19) pandemic is a worldwide public health crisis. During huge surge in COVID-19 cases, most of the patient arrived at Rajiv Gandhi Government General Hospital, Chennai were severe due to late presentation and also available evidence demonstrating that the delay in treatment is directly associated with increased mortality or poor patient outcome. As an innovative concept of Zero Delay COVID-19 Ward were set up to provide the required critical care for all severe COVID-19 cases. The experience of setting up of such Zero Delay COVID-19 Ward and profile of admitted COVID-19 patients were described in this paper. METHODS: A total of 4515 laboratory-confirmed COVID-19 patients admitted at Zero Delay COVID-19 Ward was analyzed retrospectively from 7th July to 31st December 2020. RESULTS: At the time of admission the frequency of dyspnea were 85.6% among them 99.1% recovered from dyspnea after the oxygen therapy and other management at Zero Delay COVID-19 Ward. Of the 4515 COVID-19 individuals, about 1829 (40.5%) had comorbidity, 227 (5%) had died. Multivariable logistic regression analysis, COVID-19 death was more likely to be associated with comorbidity (OR: 18.687; 95% CI: 11.229-31.1) than other variables. CONCLUSIONS: Comorbidity is an independent high risk factor for mortality of COVID-19 patients. From our observation, it is strongly recommended that effective zero delay covid-19 ward model will help for the prevention of mortality in current/expected waves of COVID-19.
  • |*COVID-19/mortality/therapy[MESH]
  • |Comorbidity[MESH]
  • |Dyspnea/therapy/virology[MESH]
  • |Hospitalization[MESH]
  • |Humans[MESH]
  • |India/epidemiology[MESH]
  • |Oxygen/therapeutic use[MESH]
  • |Retrospective Studies[MESH]
  • |Tertiary Care Centers[MESH]


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