Evidence map›Paper›PMID 39130863›Full record

ArticleCureus2024

Hematological Markers as Predictors of ICU Admission in COVID-19 Patients: A Case-Control Study From a Tertiary Hospital.

Nor Hayati Ismail, Alaa Siddig, Muhammad 'Akif Hasenan, Majdan Ramli, Noor Haslina Mohd Noor, Mohd Nazri Hassan, Muhammad Farid Johan, Marini Ramli, Rosnah Bahar, Shafini Mohamed Yusoff

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Nor Hayati IsmailDepartment of Hematology, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, MYS.
Alaa SiddigDepartment of Pathology, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, MYS.
Muhammad 'Akif HasenanDepartment of Hematology, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, MYS.
Majdan RamliDepartment of Pathology, Hospital Raja Perempuan Zainab II, Kota Bharu, MYS.
Noor Haslina Mohd NoorDepartment of Hematology, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, MYS.
Mohd Nazri HassanDepartment of Hematology, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, MYS.
Muhammad Farid JohanDepartment of Hematology, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, MYS.
Marini RamliDepartment of Hematology, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, MYS.
Rosnah BaharDepartment of Hematology, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, MYS.
Shafini Mohamed YusoffDepartment of Hematology, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, MYS.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 illness severity ranges from mild- to life-threatening cases necessitating critical care. Rapid prediction of disease severity and the need for critical care support in COVID-19 patients remain essential, not only for current management but also for preparedness in future pandemics. This study aimed to assess hematological parameters as predictors of intensive care unit (ICU) admission and survival in COVID-19 patients, providing insights applicable to a broad range of infectious diseases.

methodsA case-control study was conducted at Hospital Raja Perempuan Zainab II, a tertiary referral hospital in Kelantan, Malaysia, from March 2020 to August 2021. Demographics, clinical, and laboratory data were retrieved from patients' medical records. Statistical analyses, including the Chi-square (χ2) test, independent t-tests, and simple and multiple logistic regressions, were used to analyze the data. A receiver operating characteristic (ROC) curve analysis was conducted to assess the accuracy of the predictors.

resultsThe median age was 51 years, with females comprising 56.7% (n=148) and males 43.3% (n=113). A total of 88.5% of patients were admitted to non-ICU wards, with a mortality rate of 5.7%. Significant differences were observed in the distribution of hematological parameters between ICU-admitted and non-admitted patients. Neutrophil (OR: 23.96, 95% CI: 7.296-78.675) and white blood cell (WBC) count (OR: 36.677, 95% CI: 2.086-644.889) were the most significant predictors for ICU admission and survival, respectively.

conclusionsWBC and neutrophil counts exhibited high predictive value for ICU admission, while WBC, neutrophil, lymphocyte, and immature granulocyte (IG) counts were significant predictors of survival status among COVID-19 patients. These findings underscore the continued relevance of hematological markers in managing severe respiratory infections and improving critical care triage, with implications for current and future healthcare challenges.

Indexed as

covid-19hematological parametersicu admissionimmature granulocytelymphocyteneutrophilpredictorprognostic factorssurvival statuswhite blood cell

Identifiers

PMID39130863
PMCPMC11310825

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