OBJECTIVES

Epidemiology data on prolonged mechanical ventilation (PMV) and PMV patient features in the Philippines is lacking. This retrospective cross-sectional study aimed to determine the prevalence of PMV among intubated patients, describe patient characteristics and outcomes, and identify risk factors associated with PMV.

A retrospective review of records was done on adult intubated patients admitted under the Medical Intensive Care Unit Service from July 2022 to June 2023. Various clinical characteristics and outcomes of PMV and non-PMV patients were collected, compared, and analyzed. PMV was defined as having MV for ≥6 hours per day
for >21 days.

Among 261 intubated ICU patients admitted, 75 (28.7%) required PMV. PMV patients were older (62 vs.
53.5), had higher Charlson Comorbidity Index scores (4 vs. 3), and required vasopressors (81.33% vs. 54.84%)
and blood products (93.33% vs. 51.08%) more often. Nosocomial infections (86.67% vs. 45.70%), ventila- tor-related (30.67% vs. 12.37%) and in-hospital (66.22% vs. 32.97%) complications developed more frequently.
Outcomes such as ICU length of stay (29.5 vs. 7 days) and hospital mortality (61.33% vs. 41.94%) were longer. Vasopressor use (OR 2.25, 95% CI 1.06-4.76), develop- ment of nosocomial infections (OR 6.20, 95% CI 2.64-
14.56), and development of in-hospital-related compli- cations (OR 2.20, 95% CI 1.13-4.30) were independent predictors of PMV.

In this single-center investigation, 28.7% of ICU patients required PMV. Knowledge of patient characteristics and risk factors aid in the development of interventions that improve outcomes and reduce PMV prevalence. Larger studies are recommended to assess nationwide PMV epidemiology and provide data on the need for step-down units for weaning.

BACKGROUND

Convalescent plasma therapy (CPT) has been utilized as an emergency and last-resort treatment for viral infections, particularly in the absence of vaccine. During the COVID-19 pandemic, CPT was implemented worldwide based on its potential to provide passive immunity through SARS-CoV-2 antibodies. While numerous studies explored the effectiveness of CPT to cure COVID-19 patients, there has no research specifically focused on superiority of CPT impact on the length of hospitalization.

This study aimed to evaluate the effect of CPT on the length of hospital stay among patients with moderate COVID-19.

This is a single blind randomized controlled trial (RCT) study involved 30 moderate-grade COVID-19 patients age 18-75 years with positive PCR result treated at Unggul Karsa Medika Hospital Bandung from February 2 to May 31, 2022. Moderate-grade COVID-19 defined by clinical pneumonia symptoms based on World Health Organization (WHO) criteria. Eligible patients were randomly assigned (1:1 ratio) and outcome assessors were blinded, while care providers and patients were not due to the intervention nature. The intervention arm (n=15) received 200 ml of high-titer CPT within 24 hours of admission with standard care and the control arm (n=15) received standard care only. The primary outcome measured was the length of stay (LOS) in both the Emergency Room (ER) and COVID-19 High Care Unit (HCU). Data were analyzed using independent T-tests.

Thirty (30) eligible patients (mean age 40 years; 53% female) were analyzed for the primary outcome and all completed follow-ups. The CPT group had significantly shorter LOS than controls (mean difference for ER:-32.7 hours [95% CI:-45.0,-20.4]; HCU:-33.3 hours [95% CI:- 45.8,-20.8]; p

The administration of CPT may reduce the LOS in moderate COVID-19 patients. However, the small sample size can limit the generalizability of this result and larger sample studies are needed to strengthen this finding. Early CPT implementation may improve patient management and optimize healthcare resource utilization during the pandemic.

Effective discharge planning is crucial for ensuring safe transitions and sustained occupational participation as clients transition from professional care to their desired community settings. Despite its importance, current discharge practices in occupational therapy remain inconsistent, often relying on informal communication, variable team coordination, and unstructured decision-making. These gaps contribute to client–caregiver unpreparedness, fragmented services, and increased readmissions. This manuscript presents the Building Rehabilitation Into Discharge Goals and Engagement (BRIDGE) Framework, a client-centered, occupation-focused conceptual model designed to structure and support the discharge planning process in occupational therapy.

The BRIDGE framework was developed through an iterative process of literature review, theoretical grounding, and integration of clinical experience. It synthesizes principles from the Canadian Practice Process Framework, Person–Environment–Occupation frameworks, the Kawa Model, and Bioecological Systems Theory. The framework outlines six discharge planning steps, ranging from goal and timeline setting to follow-up and monitoring, supported by four foundational pillars: patient and family factors, occupational therapy factors, interdisciplinary team factors, and environmental or system influences. Together, these components provide a comprehensive guide for clinical reasoning, collaborative planning, caregiver preparation, and transitional support.

The framework clarifies the role of occupational therapy, enhances interprofessional coordination, and promotes consistent transition planning. Future work should include empirical testing, case-based application, and population-specific adaptations.

BACKGROUND

Hospitalization is a major complication of atrial fibrillation (AF) and its burden has been rising across Asia. In Korea alone, AF-related hospitalizations increased by 420% from 2006 to 2015. However, comparable data are lacking in the Philippines. This study aimed to determine the prevalence of AF-related hospitalizations among adult patients aged 19 years or older using database claims of the Philippine Health Insurance Corporation (PhilHealth) in 2017 and 2018.

In both 2017 and 2018, approximately 19–20 per 10,000 total hospital admissions were due to AF. The median patient age was 68 years in 2017 and 69 years in 2018. Most admissions occurred in private tertiary hospitals located in urban areas, with a median length of stay of three days. The in-hospital mortality rate was 1.1% for both years.

Among the arrhythmias, AF was the most common cause of hospitalization in the Philippines in 2017 and 2018, which accounted for 19 per 10,000 hospitalizations. Despite this burden, the associated in-hospital mortality rate remained low.

BACKGROUND

Hospitalization is a major complication of atrial fibrillation (AF) and its burden has been rising across Asia. In Korea alone, AF-related hospitalizations increased by 420% from 2006 to 2015. However, comparable data are lacking in the Philippines. This study aimed to determine the prevalence of AF-related hospitalizations among adult patients aged 19 years or older using database claims of the Philippine Health Insurance Corporation (PhilHealth) in 2017 and 2018.

In both 2017 and 2018, approximately 19–20 per 10,000 total hospital admissions were due to AF. The median patient age was 68 years in 2017 and 69 years in 2018. Most admissions occurred in private tertiary hospitals located in urban areas, with a median length of stay of three days. The in-hospital mortality rate was 1.1% for both years.

Among the arrhythmias, AF was the most common cause of hospitalization in the Philippines in 2017 and 2018, which accounted for 19 per 10,000 hospitalizations. Despite this burden, the associated in-hospital mortality rate remained low.

BACKGROUND : Delirium is common in geriatric inpatients and may increase hospital burden. This study aimed to analyze the association of length of stay (LOS), in-hospital mortality, and 30-day readmission among geriatric inpatients at a secondary hospital in Jakarta. METHODS : A retrospective study was conducted using secondary data from geriatric inpatients assessed with the comprehensive geriatric assessment (CGA) at Atma Jaya Hospital (March 2024–February 2025). Demographic, functional, nutritional, frailty, and comorbidity variables and clinical outcomes (LOS, mortality, and readmission) were analyzed using t-tests, Fisher’s exact tests, and adjusted odds ratios (aORs) with 95% confidence intervals (CIs). RESULTS : Of 425 patients, delirium was identified in 7.8% of patients. Compared with non-delirium groups, the delirium groups had poorer clinical characteristics, including lower activities of daily living, malnutrition, higher frailty, and greater comorbidity burden. Delirium groups had longer LOS (13.88 [9.24] versus 6.36 [5.25] days; p<0.001) and higher 30-day readmission (15.2% versus 3.6%; aOR: 4.821, 95% CI: 1.62–14.353; p = 0.011), while in-hospital mortality was higher but not statistically significant (p = 0.322). CONCLUSIONS Delirium in geriatric inpatients is associated with prolonged LOS and increased risk of readmission. These findings underscore the importance of early detection and CGA-guided interdisciplinary management to reduce hospital burden and improve clinical outcomes for older adults.
30-day readmission ; delirium ; geriatrics ; length of stay ; mortality

OBJECTIVE: To assess the relationship between blood pressure reactivity index (BPRI) and in-hospital mortality risk in patients with sepsis-associated acute kidney injury (SA-AKI). METHODS: A retrospective cohort study was conducted to collect data from patients admitted to the intensive care unit (ICU) and clinically diagnosed with SA-AKI between 2008 and 2019 in the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database in the United States. The collected data included demographic characteristics, comorbidities, vital signs, laboratory parameters, sequential organ failure assessment (SOFA) and simplified acute physiology scoreII(SAPSII) within 48 hours of SA-AKI diagnosis, stages of AKI, treatment regimens, mean BPRI during the first and second 24 hours (BPRI_0_24, BPRI_24_48), and outcome measures including primary outcome (in-hospital mortality) and secondary outcomes (ICU length of stay and total hospital length of stay). Variables with statistical significance in univariate analysis were included in LASSO regression analysis for variable selection, and the selected variables were subsequently incorporated into multivariate Logistic regression analysis to identify independent predictors associated with in-hospital mortality in SA-AKI patients. Restricted cubic spline (RCS) analysis was employed to examine whether there was a linear relationship between BPRI within 48 hours and in-hospital mortality in SA-AKI patients. Basic prediction models were constructed based on the independent predictors identified through multivariate Logistic regression analysis, and receiver operator characteristic curve (ROC curve) was plotted to evaluate the predictive performance of each basic prediction model before and after incorporating BPRI. RESULTS: A total of 3 517 SA-AKI patients admitted to the ICU were included, of whom 826 died during hospitalization and 2 691 survived. The BPRI values within 48 hours of SA-AKI diagnosis were significantly lower in the death group compared with the survival group [BPRI_0_24: 4.53 (1.81, 8.11) vs. 17.39 (5.16, 52.43); BPRI_24_48: 4.76 (2.42, 12.44) vs. 32.23 (8.85, 85.52), all P < 0.05]. LASSO regression analysis identified 20 variables with non-zero coefficients that were included in the multivariate Logistic regression analysis. The results showed that respiratory rate, temperature, pulse oxygen saturation (SpO₂), white blood cell count (WBC), hematocrit (HCT), activated partial thromboplastin time (APTT), lactate, oxygenation index, SOFA score, fluid balance (FB), BPRI_0_24, and BPRI_24_48 were all independent predictors for in-hospital mortality in SA-AKI patients (all P < 0.05). RCS analysis revealed that both BPRI showed "L"-shaped non-linear relationships with the risk of in-hospital mortality in SA-AKI patients. When BPRI_0_24 ≤ 14.47 or BPRI_24_48 ≤ 24.21, the risk of in-hospital mortality in SA-AKI increased as BPRI values decreased. Three basic prediction models were constructed based on the identified independent predictors: Model 1 (physiological indicator model) included respiratory rate, temperature, SpO₂, and oxygenation index; Model 2 (laboratory indicator model) included WBC, HCT, APTT, and lactate; Model 3 (scoring indicator model) included SOFA score and FB. ROC curve analysis showed that the predictive performance of the basic models ranked from high to low as follows: Model 3, Model 2, and Model 1, with area under the curve (AUC) values of 0.755, 0.661, and 0.655, respectively. The incorporation of BPRI indicators resulted in significant improvement in the discriminative ability of each model (all P < 0.05), with AUC values increasing to 0.832 for Model 3+BPRI, 0.805 for Model 2+BPRI, and 0.808 for Model 1+BPRI. CONCLUSIONS BPRI is an independent predictor factor for in-hospital mortality in SA-AKI patients. Incorporating BPRI into the prediction model for in-hospital mortality risk in SA-AKI can significantly improve its predictive capability.
Humans ; Acute Kidney Injury/mortality* ; Sepsis/complications* ; Retrospective Studies ; Hospital Mortality ; Prognosis ; Blood Pressure ; Intensive Care Units ; Male ; Female ; Length of Stay ; Middle Aged ; Aged ; Adult ; Logistic Models

OBJECTIVE: To develop a digital intelligent multimodal shift handover system for the intensive care unit (ICU) and evaluate its application effect in ICU shift handovers. METHODS: A research and development team was established, consisting of 1 department director, 1 head nurse, 3 information technology engineers, 3 nurses, and 2 doctors. Team members were assigned responsibilities including overall coordination and planning, platform design and maintenance, pre-application training, collection and organization of clinical feedback, and research investigation respectively. A digital intelligent multimodal shift handover system was developed for ICU based on the Shannon-Weaver linear transmission model. This innovative system integrated automated data collection, intelligent dynamic monitoring, multidimensional condition analysis and visual reporting functions. A cloud platform was used to gather data from multi-parameter vital signs monitors, infusion pumps, ventilators and other devices. Artificial intelligence algorithms were employed to standardize and analyze the data, providing personalized recommendations for healthcare professionals. A self-controlled before-after method was adopted. Before the application of the ICU digital intelligent multimodal shift handover system (from December 2023 to March 2024), the traditional verbal bedside handover was used; from June 2024 to March 2025, the ICU digital intelligent multimodal shift handover system was applied for shift handovers. Questionnaires before the application of the shift handover system were collected in April 2024, and those after the application were collected in April 2025. The shift handover time, handover quality (scored by the nursing handover evaluation scale), satisfaction with doctor-nurse communication (scored by the ICU doctor-nurse scale) before and after the application of the handover system were compared, and nurses' satisfaction with the shift handover system (scored by the clinical nursing information system effectiveness evaluation scale) was investigated. RESULTS: After the application of the ICU digital intelligent multimodal shift handover system, the shift handover time was significantly shorter than that before the application [minutes: 20 (15, 25) vs. 30 (22, 40)], the handover quality was significantly higher than that before the application [score: 84.0 (78.0, 88.5) vs. 71.0 (55.0, 79.0)], and the satisfaction with doctor-nurse communication was also significantly higher than that before the application (score: 84.58±6.79 vs. 74.50±11.30). All differences were statistically significant (all P < 0.05). In addition, the nurses' system effectiveness evaluation scale score was 102.30±10.56, which indicated that nurses had a very high level of satisfaction with the ICU digital intelligent multimodal shift handover system. CONCLUSIONS The application of the ICU digital intelligent multimodal shift handover system can shorten the shift handover time, improve the handover quality, and enhance the satisfaction with doctor-nurse communication. Nurses have a high level of satisfaction with this system.
Intensive Care Units ; Humans ; Patient Handoff ; Artificial Intelligence ; Algorithms

OBJECTIVE: To investigate the differences in indwelling duration, clinical scenarios, and complications between the modified midline catheter (MMC) and the central venous catheter (CVC) in the treatment of patients in the medical intensive care unit (ICU) and the risk factors for complications based on real-world data. METHODS: A retrospective cohort study was conducted. The adult patients admitted to the medical ICU of the Third Xiangya Hospital of Central South University and had undergone placement of either a MMC or a CVC between January 1, 2023, and July 31, 2024, were consecutively enrolled by querying the hospital's electronic medical record system. Based on the type of catheter inserted, the patients were divided into the MMC group and the CVC group. The two groups were compared regarding the selection of catheters in the context of different underlying diseases, the actual clinical application after catheterization, catheter-related complications, the international normalized ratio (INR) and platelet count (PLT) during puncture and catheterization, the length of ICU stay, total length of hospital stay, catheter indwelling duration, and mortality during hospitalization. Multivariate Logistic regression analysis was employed to identify independent risk factors for catheter removal. RESULTS: Among the 274 patients, 52 received a MMC and 222 received a CVC. The utilization rate of MMC was significantly higher than that of CVC in patients with acute respiratory distress syndrome (ARDS), cardiovascular disease, and cancer [ARDS: 92.3% (48/52) vs. 70.3% (156/222), cardiovascular disease: 84.6% (44/52) vs. 54.5% (121/222), cancer: 30.8% (16/52) vs. 17.1% (38/222), all P < 0.05]. However, the use of MMC was significantly lower than CVC when vasoactive drug infusion was required [57.7% (30/52) vs. 79.7% (177/222), P < 0.05]. A significantly higher proportion of patients in the MMC group had a catheter indwelling time ≥ 12 days as compared with the CVC group [32.7% (17/52) vs. 13.5% (30/222), P < 0.05]. There were no statistically significant differences in other underlying diseases, venous access usage, INR and PLT during puncture and catheterization, length of ICU stay, total length of hospital stay, and in-hospital mortality of patients between the two groups. Regarding catheter-related complications, although the incidence of partial or complete catheter removal in the MMC group was significantly higher than that in the CVC group [36.5% (19/52) vs. 5.4% (12/222), P < 0.05], the incidence of puncture site fluid leakage, puncture site skin allergy, and deep vein thrombosis were significantly lower than those in the CVC group [puncture site fluid leakage: 1.9% (1/52) vs. 22.1% (49/222), puncture site skin allergy: 0% (0/52) vs. 20.7% (46/222), deep vein thrombosis: 3.8% (2/52) vs. 16.7% (37/222), all P < 0.05]. Furthermore, the proportion of patients experiencing three or more types of complications in the MMC group was significantly lower than that in the CVC group [5.8% (3/52) vs. 17.6% (39/222), P < 0.05]. Multivariate Logistic regression analysis of risk factors for catheter removal identified the use of a MMC [odds ratio (OR) = 8.518, 95% confidence interval (95%CI) was 3.710-19.560, P < 0.001] and a catheter indwelling time ≥ 12 days (OR = 3.133, 95%CI was 1.297-7.567, P = 0.011) as independent risk factors. CONCLUSIONS MMC was more frequently used in patients with ARDS, cardiovascular disease, and cancer, whereas CVC was primarily employed for vasoactive drug infusion. The use of MMC and a longer indwelling time were identified as independent risk factors for catheter removal. Despite a higher removal rate, the overall incidence of complications was significantly lower with MMC than with CVC. These findings suggest that MMC could serve as a routine alternative to CVC in most of clinical scenarios, provided that measures are implemented to prevent removal.
Humans ; Retrospective Studies ; Intensive Care Units ; Catheterization, Central Venous/methods* ; Central Venous Catheters ; Risk Factors ; Length of Stay ; Male ; Female ; Middle Aged ; Adult ; Catheters, Indwelling ; Aged

OBJECTIVE: To assess relationships between cold spells and genitourinary hospitalization risk. METHODS: Hospitalization records for genitourinary system diseases (GUDs) from 16 districts in Beijing (2013-2018) were analyzed. Cold spells were defined based on varying intensity thresholds. A two-stage analytical method was employed: first, generalized linear models assessed district-specific associations between cold spells and hospitalizations; second, random-effects meta-analysis aggregated the district-level results. Subgroup analyses were performed by admission type (emergency vs. outpatient), age, and sex. RESULTS: A total of 271,579 GUD-related hospitalizations were recorded. Cold spells (p1day2，daily mean temperature below the 1 ^st percentiles of the daily mean temperature distribution from January 1, 2013, to December 31, 2018, lasting for two or more consecutive days) were linked to a significant rise in hospitalization risks: 1.43 (95% CI: 1.32-1.56) for all GUDs, 1.35 (95% CI: 1.23-1.49) for urinary system diseases, and 1.46 (95% CI: 1.28-1.67) for renal failure, when compared to non-cold spell days. Emergency admissions showed higher risk increases than outpatient admissions. CONCLUSION Extreme cold spells significantly elevate hospitalization risks for GUDs. This highlights the urgent need for targeted public health interventions to mitigate cold-related health impacts, especially for vulnerable populations.
Humans ; Hospitalization/statistics & numerical data* ; Male ; Female ; Cold Temperature/adverse effects* ; Infant ; Child, Preschool ; Middle Aged ; Adult ; Child ; Aged ; Adolescent ; Young Adult ; Beijing/epidemiology* ; Female Urogenital Diseases/etiology* ; Male Urogenital Diseases/etiology* ; Infant, Newborn ; Risk Factors