Literature DB >> 33774948

Isaric 4c Mortality Score As A Predictor Of In-Hospital Mortality In Covid-19 Patients Admitted In Ayub Teaching Hospital During First Wave Of The Pandemic.

Rashid Ali1, Fatima Qayyum1, Nasir Ahmed1, Muhammad Zeeshan Haroon2, Romana Irshad3, Sabeen Sajjad1, Sidra Qayyum Malik4, Sania Saleem1, Rizwana Hussain5, Ayesha Zahid1, Umer Farooq6.   

Abstract

BACKGROUND: Many factors have been identified which can predict severe outcomes and mortality in hospitalized patients of COVID-19. This study was conducted with the objective of finding out the association of various clinical and laboratory parameters as used by International Severe Acute Respiratory and emerging Infections Consortium (ISARIC) World Health Organization (WHO)- ISARIC/WHO 4C Mortality score in predicting high risk patients of COVID-19. Ascertaining the parameters would help in triage of patients of severe disease at the outset, and shall prove beneficial in improving the standard of care.
METHODS: This cross-sectional study was carried out in COVID-19 Department of Ayub Teaching Hospital, Abbottabad. All COVID-19 patients admitted from 15th April to 15th July 2020 were included.
RESULTS: A total of 347 patients were included in the study. The mean age was 56.46±15.44 years. Male patients were 225 (65%) and female 122 (35%). Diabetes (36%) was the most common co-morbidity, followed by hypertension (30.8%). Two hundred & six (63.8%) patients recovered and 117 (36.2%) patients died. Shortness of breath (80%), fever (79%) and cough (65%) were the most common presenting symptoms. Patients admitted with a 4C Mortality score of 0-3 (Low Risk Category), the patients who recovered were 36 (90%) and those who died were 4 (10.0%). In patients admitted with a 4C Mortality score of more than 14 (Very High-Risk Category), the number of patients who recovered was 1 (20%), and those who died were 4 (80%). The difference in mortality among the categories was statistically significant (p<0.001). Hypertension was a risk factor for death in patients of COVID-19 (Odds ratio=1.24, 95% CI [0.76-2.01]). Lymphopenia was not associated with statistically significant increased risk for mortality.
CONCLUSIONS: The ISARIC 4C mortality score can be used for stratifying and predicting mortality in COVID-19 patients on arrival in hospital. We propose that it should be used in every patient of COVID-19 presenting to the hospital. Those falling in Low and Intermediate Risk Category should be managed in ward level. Those falling in High and Very High Category should be admitted in HDU/ICU with aggressive treatment from the start.

Entities:  

Keywords:  COVID-19; SARS-CoV-2; Risk factors; Mortality; Clinical Laboratory Tests

Mesh:

Year:  2021        PMID: 33774948

Source DB:  PubMed          Journal:  J Ayub Med Coll Abbottabad        ISSN: 1025-9589


  6 in total

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Authors:  Nicolás Munera; Esteban Garcia-Gallo; Álvaro Gonzalez; José Zea; Yuli V Fuentes; Cristian Serrano; Alejandra Ruiz-Cuartas; Alejandro Rodriguez; Luis F Reyes
Journal:  ERJ Open Res       Date:  2022-06-27

2.  Prospective validation of the 4C prognostic models for adults hospitalised with COVID-19 using the ISARIC WHO Clinical Characterisation Protocol.

Authors:  Stephen R Knight; Rishi K Gupta; Antonia Ho; Riinu Pius; Iain Buchan; Gail Carson; Thomas M Drake; Jake Dunning; Cameron J Fairfield; Carrol Gamble; Christopher A Green; Sophie Halpin; Hayley E Hardwick; Karl A Holden; Peter W Horby; Clare Jackson; Kenneth A Mclean; Laura Merson; Jonathan S Nguyen-Van-Tam; Lisa Norman; Piero L Olliaro; Mark G Pritchard; Clark D Russell; Catherine A Shaw; Aziz Sheikh; Tom Solomon; Cathie Sudlow; Olivia V Swann; Lance C W Turtle; Peter J M Openshaw; J Kenneth Baillie; Annemarie Docherty; Malcolm G Semple; Mahdad Noursadeghi; Ewen M Harrison
Journal:  Thorax       Date:  2021-11-22       Impact factor: 9.102

3.  Machine Learning Based Prediction of COVID-19 Mortality Suggests Repositioning of Anticancer Drug for Treating Severe Cases.

Authors:  Thomas Linden; Frank Hanses; Daniel Domingo-Fernández; Lauren Nicole DeLong; Alpha Tom Kodamullil; Jochen Schneider; Maria J G T Vehreschild; Julia Lanznaster; Maria Madeleine Ruethrich; Stefan Borgmann; Martin Hower; Kai Wille; Torsten Feldt; Siegbert Rieg; Bernd Hertenstein; Christoph Wyen; Christoph Roemmele; Jörg Janne Vehreschild; Carolin E M Jakob; Melanie Stecher; Maria Kuzikov; Andrea Zaliani; Holger Fröhlich
Journal:  Artif Intell Life Sci       Date:  2021-12-17

4.  External Validation of 4C ISARIC Mortality Score in Critically ill COVID-19 Patients from Saudi Arabia.

Authors:  Waleed Tharwat Aletreby; Shahzad Ahmad Mumtaz; Saima Akhtar Shahzad; Intekhab Ahmed; Mohammed Ali Alodat; Mohamed Gharba; Zohdi Ahmed Farea; Ahmed Fouad Mady; Waqas Mahmood; Huda Mhawish; Majd Munia Abdulmowla; Rehab Mohammed Nasser
Journal:  Saudi J Med Med Sci       Date:  2022-01-12

5.  Role of advanced respiratory support in acute respiratory failure in clinically frail patients with COVID-19.

Authors:  Iftikhar Nadeem; Louise Jordon; Masood Ur Rasool; Noor Mahdi; Ritesh Kumar; Zahra Rehman; Craig J Tilley; Simran Kang; Amrita Rai; She Lok; Alison McMillan
Journal:  Future Microbiol       Date:  2021-12-17       Impact factor: 3.165

6.  ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19.

Authors:  Esteban Garcia-Gallo; Laura Merson; Kalynn Kennon; Sadie Kelly; Barbara Wanjiru Citarella; Daniel Vidali Fryer; Sally Shrapnel; James Lee; Sara Duque; Yuli V Fuentes; Valeria Balan; Sue Smith; Jia Wei; Bronner P Gonçalves; Clark D Russell; Louise Sigfrid; Andrew Dagens; Piero L Olliaro; Joaquin Baruch; Christiana Kartsonaki; Jake Dunning; Amanda Rojek; Aasiyah Rashan; Abi Beane; Srinivas Murthy; Luis Felipe Reyes
Journal:  Sci Data       Date:  2022-07-30       Impact factor: 8.501

  6 in total

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