Characteristics and Outcomes of Patients Admitted to Intensive Care Units in an Academic Hospital Northern Iran

Background: Identifying risk factors that predict mortality in the intensive care unit (ICU) can lead to improved management of critically ill patients and help reduce mortality rates. Objectives: This study aimed to identify the prevalence and risk factors that potentially contribute to predicting mortality in the ICU. Methods: This cross-sectional study was conducted in the general ICU of an academic hospital in northeastern Iran from April 2019 to March 2023. Demographic and clinical data were retrieved from medical records, including age, gender, marital status, residency, length of stay in the ICU, level of consciousness, duration of mechanical ventilation (MV), and co-morbidities. The outcomes were categorized as death or discharge. Results: Out of 8,650 admitted patients, 62.8% were discharged, and 37.2% died. The factors significantly associated with death included age (59.24 ± 21.9 years vs. 49.63 ± 23.32 years, P < 0.0001), female gender (42.7% vs. 57.3%, P < 0.0001), marital status (41.1% married vs. 58.9% unmarried, P < 0.0001), length of stay in the ICU (5.99 ± 9.09 days vs. 4.13 ± 6.55 days, P < 0.0001), Glasgow Coma Scale (GCS) of 3 - 5 (87.9% vs. 12.1%, P < 0.0001), duration of MV (4.86 ± 8.69 days vs. 1.09 ± 4.85 days, P < 0.0001), and co-morbidities (44.7% vs. 55.3%, P < 0.0001), which were confirmed by logistic regression analysis. Conclusions: The prevalence of death in the ICU was 37.2%. Age, co-morbidities, cerebral vascular accident (CVA), GCS, duration of MV, and marital status were significantly associated with mortality.

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Journal
Zahedan Journal of Research in Medical Sciences
Published
2024-10-07
DOI
https://doi.org/10.5812/zjrms-151648
Citations
1
Primary Topic
Respiratory Support and Mechanisms
Type
article
Field-Weighted Citation Impact
0.42

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article

Characteristics and Outcomes of Patients Admitted to Intensive Care Units in an Academic Hospital Northern Iran

Leila Kanafi Vahed, Mohammad Reza Habibi, Siamak Rimaz, Shaghayegh Shahnavazi
1 citations
Zahedan Journal of Research in Medical Sciences
Respiratory Support and Mechanisms
0.42
article

Characteristics and Outcomes of Patients Admitted to Intensive Care Units in an Academic Hospital Northern Iran

Leila Kanafi Vahed, Mohammad Reza Habibi, Siamak Rimaz, Shaghayegh Shahnavazi
article en
1 citations

Abstract

Background: Identifying risk factors that predict mortality in the intensive care unit (ICU) can lead to improved management of critically ill patients and help reduce mortality rates. Objectives: This study aimed to identify the prevalence and risk factors that potentially contribute to predicting mortality in the ICU. Methods: This cross-sectional study was conducted in the general ICU of an academic hospital in northeastern Iran from April 2019 to March 2023. Demographic and clinical data were retrieved from medical records, including age, gender, marital status, residency, length of stay in the ICU, level of consciousness, duration of mechanical ventilation (MV), and co-morbidities. The outcomes were categorized as death or discharge. Results: Out of 8,650 admitted patients, 62.8% were discharged, and 37.2% died. The factors significantly associated with death included age (59.24 ± 21.9 years vs. 49.63 ± 23.32 years, P < 0.0001), female gender (42.7% vs. 57.3%, P < 0.0001), marital status (41.1% married vs. 58.9% unmarried, P < 0.0001), length of stay in the ICU (5.99 ± 9.09 days vs. 4.13 ± 6.55 days, P < 0.0001), Glasgow Coma Scale (GCS) of 3 - 5 (87.9% vs. 12.1%, P < 0.0001), duration of MV (4.86 ± 8.69 days vs. 1.09 ± 4.85 days, P < 0.0001), and co-morbidities (44.7% vs. 55.3%, P < 0.0001), which were confirmed by logistic regression analysis. Conclusions: The prevalence of death in the ICU was 37.2%. Age, co-morbidities, cerebral vascular accident (CVA), GCS, duration of MV, and marital status were significantly associated with mortality.

Zahedan Journal of Research in Medical SciencesVol. 26(4)
Guilan University of Medical Sciences (IR), Alzahra Medical and Education Center (IR)
Guilan University of Medical Sciences
Good health and well-being
Openalex Percentile: Top 32%
Respiratory Support and Mechanisms
0.42
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Characteristics and Outcomes of Patients Admitted to Intensive Care Units in an Academic Hospital Northern Iran — Leila Kanafi Vahed, Mohammad Reza Habibi, et al. · Zahedan Journal of Research in Medical Sciences (2024) | TGRS Research Map | TGRS