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Showing 3 results for Length of Stay
Clinical effectiveness of modified sequential organ failure assessment scoring system for predicting ICU indexing scores
Hassan Babamohamadi , Abbasali Ebrahimian , Fateme Paknazar , Hojat Torkamandi ,
Volume 74, Issue 7 (10-2016)
Abstract

Background: The ability to recognize the severity of the disease in those who their survival depend entirely on admission to the intensive care unit, is very valuable clinically. This study aimed to evaluate the clinical effectiveness of modified sequential organ failure assessment (MSOFA) scale to predict mortality and length of stay in intensive care unit patients respectively.

Methods: This was a retrospective cross-sectional study conducted on hospital records of patients admitted to the intensive care unit. All patients’ records who admitted to the intensive care unit of Kowsar Hospital, Semnan city (the capital of the province), Iran, in 2015 considered as the sample. Collecting data were done during 4 weeks in April and May 2016. The data collection tool was a demographic questionnaire and modified sequential organ failure assessment scale. Exclusion criteria included discharge in the first 24 hours after admission, the patient died a few hours after admission and incomplete information to complete the modified sequential organ failure assessment form.

Results: The study of 105 patients' records of the intensive care unit showed that 45.7% of patients were died, 15.2% and 39% were discharged and moved to other wards respectively. The results of logistic regression analysis and receiver operating characteristic (ROC) curve showed that this criterion had moderate sensitivity and specificity for prediction of mortality and length of stay in ICU patients (Area=0.635, CI= 0.527-0.743) and each unit increase in modified sequential organ failure assessment score is accompanied by increasing 32 percent chance of death (OR=1.325; 95% CI:1.129,1.555; P= 0.001(. Also each unit increase in modified sequential organ failure assessment (MSOFA) score accompanied by increasing 19% length of stay in ICU (OR=1.191; 95% CI: 1.034, 1.371; P= 0.015(.

Conclusion: The results of this study showed that the modified sequential organ failure assessment scale is not useful tool to predict the length of stay and mortality of patients admitted to the intensive care unit.


Measuring the amount of serum albumin in burn patients and the relationship between the burned area and length of hospital stay
Maryam Roham , Mohammad Javad Fatemi , Mitra Niazi , Mahnoush Momeni ,
Volume 75, Issue 5 (8-2017)
Abstract
Background: Albumin is one of the most important proteins in the body by several important functions, it is essential in the maintenance of normal plasma colloid oncotic pressure and is the primary serum binding protein responsible for the transport of various substances in the circulation including fatty acids, hormones, and drugs. Decrease in the amount of serum Albumin (Hypoalbuminemia) is a common finding in the burn patients, but its relationship with mortality is not accurately clear. Our purpose of this study was to measure the amount of Albumin serum in burn patients and find out its relationship between the burned area and length of hospital stay.
Methods: This cross-sectional study was conducted on patients aged over 16 years who referred to the Motahari Hospital of September 2014 to February 2015 in the first 24 hours of their referral. The amount of Albumin was measured in two groups of discharged patients and patients who died while hospitalized, one week after hospital stay and in the time of discharge and death; and its relationship in terms of each other was determined by statistical analysis. We also assessed the relationship between burn and duration of hospital stay with the amount of Albumin on the day of patient’s admission.
Results: This study showed that the average amount of albumin in the group of discharged patients in the time of admission, one week after and during admission was significantly higher than the group of expired patients (P<0.0001). Also there was a significant relation between the burned area and the amount of albumin (P<0.0001). The more the burned area, the less the amount of Albumin. But there was no significant relationship between the amount of albumin with age and length of hospital stay.
Conclusion: Measuring the level of Albumin is one of the yardsticks that can be used for prognosis of recovery or death of burn patients, and its assessment at regular intervals in burn patients is essential.

Survival Analysis of the Length of Hospital Stay of Suspected Stroke Patients Transferred by EMS to Ghaem Hospital in Mashhad
Razieh Yousefi , Payam Sasannejad, Eisa Nazar, Ali Hadianfar, Mohammad Taghi Shakeri., Zahra Jafari ,
Volume 81, Issue 11 (2-2024)
Abstract
Background: Identifying factors that influence the length of hospital stay for suspected stroke patients is crucial for optimizing the utilization of hospital resources. This study aimed to determine the factors associated with the length of hospital stay for suspected stroke patients transferred to Qaem Hospital in Mashhad through emergency services using survival analysis.
Methods: In this historical cohort study, general information was gathered for all suspected stroke patients who sought emergency services in Mashhad, the largest city in northeast Iran, from March 21, 2018, to March 20, 2019, and were then transferred to the Emergency Department of Qaem Hospital. Pre-hospital emergency data were integrated with hospital records using the mission ID. The primary outcome assessed in the study was the length of hospital stay, with model implementation carried out using the statistical software Stata.
Results: The median hospitalization time until patients' recovery was  seven days. Out of the 578 participants, 386 cases (66.8%) recovered, while the remaining 190 cases (33.2%) were censored (83 individuals had died during the study, and 107 individuals had exited the hospital for other reasons). The average age of patients at the time of hospitalization was 71.13±13.01 years. Statistical analysis employing Log-rank and Breslow tests identified a significant difference in hospitalization duration among patients receiving various levels of care and based on their insurance status. During multivariate analysis, the Cox regression model was considered unsuitable due to some variables not meeting the proportional hazards assumption, leading to the utilization of AFT models. Following the evaluation of AFT models, including Log-normal, Log-logistic, Exponential, and Weibull, the log-normal model emerged as the most suitable choice, exhibiting AIC and BIC values of 1273.909 and 1356.740, respectively. Significant variables influencing length of stay included patient admission priority, insurance status, season, and residency status.
Conclusion: The study suggests that parametric survival models are effective for analyzing lifetime data. Additionally, in light of the significant variables identified, enhancing facility readiness and resource allocation could facilitate more efficient planning and implementation.

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