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Comorbidities and clinical features related to severe outcomes among COVID-19 cases in Selangor, Malaysia.
Hasani, Wan Shakira Rodzlan; Ganapathy, Shubash Shander; Lin, Chong Zhuo; Rifin, Halizah Mat; Bahari, Mohammad Nazarudin; Ghazali, Muhammad Haikal; Lodz, Noor Aliza; Ramli, Muhd Hafizuddin Taufik; Majid, Nur Liana Ab; Ling, Miaw Yn Jane; Yusoff, Muhammad Fadhli Mohd; Ahmad, Noor Ani; Suleiman, Anita; Yusoff, Ahmad Faudzi; Balan, Venugopalan; Ngadiman, Sha'ari.
  • Hasani WSR; Institute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Setia Alam, Selangor, Malaysia.
  • Ganapathy SS; Institute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Setia Alam, Selangor, Malaysia.
  • Lin CZ; Institute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Setia Alam, Selangor, Malaysia.
  • Rifin HM; Institute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Setia Alam, Selangor, Malaysia.
  • Bahari MN; Selangor State Health Department, Ministry of Health Malaysia, Shah Alam, Selangor, Malaysia.
  • Ghazali MH; Selangor State Health Department, Ministry of Health Malaysia, Shah Alam, Selangor, Malaysia.
  • Lodz NA; Institute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Setia Alam, Selangor, Malaysia.
  • Ramli MHT; Institute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Setia Alam, Selangor, Malaysia.
  • Majid NLA; Institute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Setia Alam, Selangor, Malaysia.
  • Ling MYJ; Institute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Setia Alam, Selangor, Malaysia.
  • Yusoff MFM; Institute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Setia Alam, Selangor, Malaysia.
  • Ahmad NA; Institute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Setia Alam, Selangor, Malaysia.
  • Suleiman A; Disease Control Division, Ministry of Health Malaysia, WP Putrajaya, Malaysia.
  • Yusoff AF; Institute for Medical Research, National Institutes of Health, Ministry of Health Malaysia, Setia Alam, Selangor, Malaysia.
  • Balan V; Selangor State Health Department, Ministry of Health Malaysia, Shah Alam, Selangor, Malaysia.
  • Ngadiman S; Selangor State Health Department, Ministry of Health Malaysia, Shah Alam, Selangor, Malaysia.
Western Pac Surveill Response J ; 12(1): 46-52, 2021.
Article in English | MEDLINE | ID: covidwho-1259710
Semantic information from SemMedBD (by NLM)
1. Comorbidity PREDISPOSES Severe disease
Subject
Comorbidity
Predicate
PREDISPOSES
Object
Severe disease
2. COVID-19 PROCESS_OF Patients
Subject
COVID-19
Predicate
PROCESS_OF
Object
Patients
3. Comorbidity PREDISPOSES Severe disease
Subject
Comorbidity
Predicate
PREDISPOSES
Object
Severe disease
4. COVID-19 PROCESS_OF Patients
Subject
COVID-19
Predicate
PROCESS_OF
Object
Patients
ABSTRACT

BACKGROUND:

Pre-existing comorbidities can predict severe disease requiring intensive care unit (ICU) admission among COVID-19 cases. We compared comorbidities, clinical features and other predictive factors between COVID-19 patients requiring ICU admission for intubation/mechanical ventilation and all other COVID-19 cases in Selangor, Malaysia.

METHOD:

Field data collected during the COVID-19 outbreak in Selangor, Malaysia, up to 13 April 2020 were used, comprising socio-demographic characteristics, comorbidities and presenting symptoms of COVID-19 cases. ICU admission was determined from medical records. Multiple logistic regression analysis was performed to identify factors associated with ICU admission requiring intubation/mechanical ventilation among COVID-19 cases.

RESULTS:

A total of 1287 COVID-19-positive cases were included for analysis. The most common comorbidities were hypertension (15.5%) and diabetes (11.0%). More than one third of cases presented with fever (43.8%) or cough (37.1%). Of the 25 cases that required intubation/mechanical ventilation, 68.0% had hypertension, 88.0% had fever, 40.0% had dyspnoea and 44.0% were lethargic. Multivariate regression showed that cases that required intubation/mechanical ventilation had significantly higher odds of being older (aged 360 years) [adjusted odds ratio (aOR) = 3.9] and having hypertension (aOR = 5.7), fever (aOR = 9.8), dyspnoea (aOR = 9.6) or lethargy (aOR = 7.9) than cases that did not require intubation/mechanical ventilation.

CONCLUSION:

The COVID-19 cases in Selangor, Malaysia requiring intubation/mechanical ventilation were significantly older, with a higher proportion of hypertension and symptoms of fever, dyspnoea and lethargy. These risk factors have been reported previously for severe COVID-19 cases, and highlight the role that ageing and underlying comorbidities play in severe outcomes to respiratory disease.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Respiration, Artificial / Severity of Illness Index / Comorbidity / Diabetes Complications / COVID-19 / Hospitalization / Hypertension / Intensive Care Units Type of study: Observational study / Prognostic study / Risk factors Topics: Long Covid Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: English Journal: Western Pac Surveill Response J Year: 2021 Document Type: Article Affiliation country: Wpsar.2020.11.3.007

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Respiration, Artificial / Severity of Illness Index / Comorbidity / Diabetes Complications / COVID-19 / Hospitalization / Hypertension / Intensive Care Units Type of study: Observational study / Prognostic study / Risk factors Topics: Long Covid Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: English Journal: Western Pac Surveill Response J Year: 2021 Document Type: Article Affiliation country: Wpsar.2020.11.3.007