Tag Archives: length of stay

Outcomes of Patients Transferred to Tertiary Center by Life-Saving System in Saudi Arabia. A Propensity Score Matching Observational Study

Mohammed Soliman1, Hanan Alenzi1, Rehab Alfenaikh1, Ahmed Aletreby2, Malak Alenzi1, Hend Alenzi1, Jennifer Gano1, Rana Alrashed1, Yasmeen Altaymani3, Mohammed Al-Odat1, Waleed Aletreby1

1 King Saud Medical City, Riyadh, Ar Riyad, Saudi Arabia
2 Faculty of Medicine, Alexandria University, Alexandria, Egypt
3 Imam Abdulrahman Alfaisal Hospital, Riyad, Saudi Arabia

DOI: 10.2478/jccm-2024-0038

Background: Inter-hospital transfer is intended to provide access to centralized special care for critically ill patients, when resources in their hospitals are not available. However, an empirical gap exists in available evidence, as outcomes of transferred patients to higher centers are inconsistent.
Method: Single center propensity score matching retrospective observational study. Life-Saving transfers during 2023 were matched to direct admissions to the ICU. Hospital mortality, ICU length of stay, and costs of both groups were compared.
Results: During the study period, 328 Life-Saving transfers were matched to 656 direct admissions. Propensity score matching eliminated all imbalances between groups. Hospital mortality was not different between groups, there were 114 (34.8%) hospital mortalities of Life-Saving transfers, while there were 216 (32.9%) hospital mortalities of direct admissions, with a percent difference of 1.9% (95% CI: -4.5%, 8.4%); p value = 0.6, this result persisted in the sensitivity analysis. There were no differences in mortality risks for all the studied subgroups except pediatric patients. ICU length of stay of direct admissions and Life-Saving transfers were 10 ± 13.1 and 11.6 ± 12.4 days respectively, mean difference was statistically significant (-1.6 [95% CI: -3.2, 0.1]; p = 0.005). Life-Saving transfers entailed significantly higher costs per admission by 28,200 thousand SAR (95% CI: 26,400 – 30,000; p < 0.001).
Conclusion: Our study shows no difference in hospital mortality between Life-Saving transfers and direct admissions to ICU, however, Life-Saving transfers had a longer ICU length of stay, and higher costs per admission.

Keywords: , , , , ,
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Understanding the Correlation between Blood Profile and the Duration of Hospitalization in Pediatric Bronchopneumonia Patients: A Cross-Sectional Original Article

Dessika Listiarini1, Dev Desai2, Yanuar Wahyu Hidayat1, Kevin Alvaro Handoko3

1 Dr. Soeselo General Hospital, Slawi, Central Java, Indonesia
2 Smt. NHL Municipal Medical College, Ahmedabad, Gujarat, India
3 Bhakti Rahayu Tabanan Hospital, Tabanan, Bali, Indonesia

DOI: 10.2478/jccm-2024-0031

Introduction: Pediatric bronchopneumonia is a prevalent life-threatening disease, particularly in developing countries. Affordable and accessible blood biomarkers are needed to predict disease severity which can be based on the Duration of Hospitalization (DOH).
Aim of the Study: To assess the significance and correlation between differential blood profiles, especially the Neutrophil-Lymphocyte Ratio (NLR), and the DOH in bronchopneumonia children.
Material and Methods: A record-based study was conducted at a secondary care hospital in Indonesia. After due ethical permission, following inclusion and exclusion criteria, 284 children with confirmed diagnoses of bronchopneumonia were included in the study. Blood cell counts and ratios were assessed with the DOH as the main criterion of severity. Mann-Whitney test and correlation coefficient were used to draw an analysis.
Results: Study samples were grouped into DOH of ≤ 4 days and > 4 days, focusing on NLR values, neutrophils, lymphocytes, and leukocytes. The NLR median was higher (3.98) in patients hospitalized over 4 days (P<0.0001). Lymphocyte medians were significantly higher in the opposite group (P<0.0001). Thrombocyte medians were similar in both groups (P=0.44481). The overall NLR and DOH were weakly positively correlated, with a moderate positive correlation in total neutrophils and DOH, and a moderate negative correlation in total lymphocytes and DOH. The correlation between the DOH ≤ 4 days group with each biomarker was stronger, except for leukocyte and thrombocyte. Analysis of the longer DOH group did not yield enough correlation across all blood counts.
Conclusions: Admission levels of leukocyte count, neutrophil, lymphocyte, and NLR significantly correlate with the DOH, with NLR predicting severity and positively correlated with the DOH.

Keywords: , , , , , , ,
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Renal Manifestations and their Association with Mortality and Length of Stay in COVID-19 Patients at a Safety-net Hospital

Sandra Gomez-Paz1, Eric Lam2, Luis Gonzalez-Mosquera2, Diana Cardenas-Maldonado2, Joshua Fogel3, Ellen Gabrielle Kagan2, Sofia Rubinstein1

1 Division of Nephrology and Hypertension, Department of Internal Medicine, Nassau University Medical Center, East Meadow, New York, USA
2 Department of Internal Medicine, Nassau University Medical Center, East Meadow, New York, USA
3 Department of Business Management, Brooklyn College, Brooklyn, New York, USA

DOI: 10.2478/jccm-2022-0010

Background: Renal involvement in COVID-19 leads to severe disease and higher mortality. We study renal parameters in COVID-19 patients and their association with mortality and length of stay in hospital. Methods: A retrospective study (n=340) of confirmed COVID-19 patients with renal involvement determined by the presence of acute kidney injury. Multivariate analyses of logistic regression for mortality and linear regression for length of stay (LOS) adjusted for relevant demographic, comorbidity, disease severity, and treatment covariates. Results: Mortality was 54.4% and mean LOS was 12.9 days. For mortality, creatinine peak (OR:35.27, 95% CI:2.81, 442.06, p<0.01) and persistent renal involvement at discharge (OR:4.47, 95% CI:1.99,10.06, p<0.001) were each significantly associated with increased odds for mortality. Increased blood urea nitrogen peak (OR:0.98, 95%CI:0.97,0.996, p<0.05) was significantly associated with decreased odds for mortality. For LOS, increased blood urea nitrogen peak (B:0.001, SE:<0.001, p<0.01), renal replacement therapy (B:0.19, SE:0.06, p<0.01), and increased days to acute kidney injury (B:0.19, SE:0.05, p<0.001) were each significantly associated with increased length of stay. Conclusion: Our study emphasizes the importance in identifying renal involvement parameters in COVID-19 patients. These parameters are associated with LOS and mortality, and may assist clinicians to prognosticate COVID-19 patients with renal involvement.

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