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.

OBJECTIVE

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

METHODS

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.

RESULTS

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

CONCLUSION

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.

Pandemics ; Polymerase Chain Reaction ; Randomized Controlled Trial ; Emergency Service, Hospital ; Hospitalization ; Emergencies ; Covid-19 ; Length Of Stay ; Antibodies

OBJECTIVES

Adiposity rebound (AR), the childhood period at which body mass index (BMI) rises from its lowest point, is linked to increased risk of later obesity. The study aims to determine the average age at AR, describe baseline characteristics and analyze the correlation between these characteristics and timing of AR in a population of Filipino pediatric outpatients.

DESIGN

Seven subjects born between 2016 and 2019 from a University Hospital Outpatient Department participated in this cross-sectional analytic study. Childhood anthropometrics were retrospectively collected to determine the age at AR by plot visual inspection. Sex, birth weight and gestational age were obtained from hospital records; breastfeeding duration, maternal BMI, parental obesity, maternal age, maternal smoking, education, parity and family income were gathered through a questionnaire completed by mothers or guardians. Associations were assessed using bootstrap univariate linear regression.

RESULTS

The mean age at AR was 3.2 years (SD = 1.2). Vaginal delivery was significantly associated with later age at AR compared to cesarean section (p = 0.035). Socioeconomic status at ages 2 to 5 showed positive association with delayed AR. Higher monthly family income (≥₱19,000) at ages 2 to 5 years was significantly associated with delayed age at AR. Other baseline childhood and parental factors showed no significant correlation with age at AR.

CONCLUSION

These results highlight the complex and context-dependent nature of AR, emphasizing the need for further studies to better understand and mitigate early obesity risk in Filipino children.

Human ; Young Adult: 19-24 Yrs Old ; Universities ; Regression (psychology) ; Hospital Records ; Gestational Age ; Body Mass Index ; Obesity, Maternal

OBJECTIVES

This study determined the prevalence of BBD among toilet-trained children attending a tertiary hospital’s pediatric outpatient clinic, and to evaluate the effectiveness of standard urotherapy among affected children.

METHODS

A prospective interventional study was conducted among 144 toilet-trained children aged 7 to 12 years seen at the University of Santo Tomas Hospital outpatient clinic from August 2025 to September 2025. Sociodemographic data were collected, and BBD was screened using the validated Filipino version of the Dysfunctional Voiding Symptom Scores (DVSS) questionnaire. Children with BBD underwent standard urotherapy, which included behavioral and lifestyle interventions such as timed voiding, adequate hydration, constipation management and proper voiding posture. DVSS assessments were repeated at two and four weeks.

RESULTS

The overall prevalence of BBD was 22.9% (33 of 144). BBD was significantly more prevalent among females (31.88%) than males (14.67%) (adjusted OR = 2.96, 95% CI: 1.28–6.86; p = 0.011). At baseline, children with BBD had significantly higher mean total DVSS scores (9.15 ± 3.64) compared to those without (2.01 ± 1.80, pCONCLUSION

Standard urotherapy proved effective in reducing symptom scores within two weeks and resulted in complete clinical resolution after four weeks among those who continued therapy. Routine screenings for BBD using DVSS and early initiation of standard urotherapy in pediatric outpatient settings are recommended to prevent complications and improve children’s urinary and bowel health.

Human ; Child: 6-12 Yrs Old ; World Health Organization ; Outpatient Clinics, Hospital ; Mass Screening ; Tertiary Care Centers ; Constipation ; Ambulatory Care Facilities

OBJECTIVES

Clinical pathways (CPs) ensure adherence to heart failure (HF) management guidelines. To optimize quality care in a low resource setting, an evidence-based care pathway for the management of acute HF was implemented at the emergency department (ED) of the Philippine General Hospital (PGH), the designated national tertiary hospital and referral center. This study aimed to describe the characteristics of adults with acute HF admitted at the ED and evaluate the quality of care they received, measured using physician adherence to the hospital’s acute heart failure CP.

METHODS

This was a retrospective, descriptive cohort study. We reviewed the inpatient charts of all adult patients with acute HF admitted to the ED of the PGH and referred to the Division of Cardiovascular Medicine between December 1, 2022 and May 31, 2023. Quality of care was assessed based on adherence to quality indicators adapted from routine and conditional order sets detailed in the pathway. Descriptive statistics was utilized to describe patient characteristics, quality of care, and outcomes.

RESULTS

Two hundred thirty-six (236) patients were included, with a mean age of 51.8 years. Majority were male (53.4%); hypertension (61.4%) and ischemic heart disease (53.8%) were the most common comorbidities, and infection the most common precipitant of decompensation (60.6%). There were optimal adherence rates to routine orders, which included referrals to Internal Medicine and Cardiology, baseline vital signs monitoring, fluid intake and output monitoring, chest radiograph, complete blood count, blood urea nitrogen, sodium, potassium, prothrombin time, partial thromboplastin time, arterial blood gas, urinalysis, and N-terminal pro b-type natriuretic peptide. Conditional orders, such as oxygen support, focused echocardiography, thyroid - stimulating hormone, and the use of vasopressors, diuretics, and venous thromboembolism prophylactic agents, were optimally performed when warranted. However, we noted suboptimal adherence to certain resource-intensive conditional orders, such as hourly monitoring of urine output (61.4%), hooking to cardiac monitor (53.8%), and performance of 12-lead ECG within 10 minutes (56.8%). Further, only 43.9% of patients were referred to the intensive care unit. Troponin I, calcium, magnesium, and albumin were ordered in excess.

CONCLUSION

Overall adherence rate of physicians to the hospital’s Acute Heart Failure Pathway was satisfactory. Work is needed to improve adherence to hourly urine output monitoring, consistent hooking to cardiac monitor, and timely performance of 12-lead ECG – an effort that begins with expanding in-hospital diagnostic equipment and human resource supply. We recommend continuous pathway implementation with periodic evaluation and stakeholder feedback to further improve quality of care.

Human ; Male ; Female ; Middle Aged: 45-64 Yrs Old ; Adult ; Albumins ; Blood ; Blood Urea Nitrogen ; Calcium ; Cardiology ; Chart ; Charts ; Cohort Studies ; Critical Care ; Critical Pathways ; Diagnostic Equipment ; Disease ; Diuretics ; Echocardiography ; Electrocardiography ; Emergencies ; Emergency Service, Hospital ; Equipment And Supplies ; Evaluation Studies As Topic ; Feedback ; Heart ; Heart Diseases ; Heart Failure ; Hormones ; Hospitals ; Hospitals, General ; Humans ; Hypertension ; Indicators And Reagents ; Infection ; Infections ; Inpatients ; Intensive Care Units ; Internal Medicine ; Lead ; Magnesium ; Male ; Medicine ; Myocardial Ischemia ; Natriuretic Peptide, Brain ; Natriuretic Peptides ; Nitrogen ; Overall ; Oxygen ; Partial Thromboplastin Time ; Patients ; Peptides ; Philippines ; Physicians ; Potassium ; Prothrombin ; Prothrombin Time ; Quality Of Health Care ; Referral And Consultation ; Sodium ; Statistics ; Tertiary Care Centers ; Thorax ; Thromboembolism ; Thromboplastin ; Thyroid Gland ; Time ; Troponin ; Troponin I ; Universities ; Urea ; Urinalysis ; Urine ; Venous Thromboembolism ; Vital Signs ; Work ; Workforce

BACKGROUND

Pediatric Early Warning Scores (PEWS) help identify children at risk of clinical deterioration, but their accuracy across diverse settings, populations, interventions, and outcomes remains unexplored.

OBJECTIVE

To determine the accuracy of PEWS in detecting clinical deterioration events (CDE) among pediatric patients seen at the emergency department (ED).

DESIGN

Retrospective cohort study.

PARTICIPANTS

Pediatric patients aged 1 month to 18 years seen at the ED.

SETTING

Southern Philippines Medical Center Emergency Department, Davao City, Philippines from January 2021 to December 2022.

MAIN OUTCOME MEASURES

Area under the curve (AUC) of PEWS in detecting CDE; Brighton PEWS optimal cut-off and its sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (+LR), and negative likelihood ratio (-LR).

MAIN RESULTS

Among the 345 patients, 56 experienced CDE and 289 did not. Patients with CDE had significantly lower median age (1.00 year vs 5.00 years; p < 0.001), oxygen saturation (93.00% vs 98.00%; p < 0.001), and pediatric Glasgow Coma Scale scores (8.00 vs 15.00; p < 0.0001) compared to those without CDE. Heart rate (135.00 vs 111.00 beats per minute; p < 0.001), and respiratory rate (32.50 vs 24.00 breaths per minute; p < 0.001) were significantly higher in patients with CDE. The two groups also differed significantly in terms of comorbidity distribution (p < 0.001) and diagnosis (p < 0.001). The AUC of Brighton PEWS was 0.9064 (95% CI 0.8716 to 0.9357), with an optimal cut-off score of ≥4.00. This threshold yielded 76.79% sensitivity, 88.58% specificity, 56.60% PPV, 95.20% NPV, 6.72 LR+, and 0.26 LR-.

CONCLUSION

The Brighton PEWS demonstrates strong diagnostic accuracy in predicting CDE among pediatric patients. A cut-off score of ≥4.00 offers a balanced combination of sensitivity, specificity, and likelihood ratios for ED application.

Human ; Emergency Departments ; Emergency Service, Hospital ; Resuscitation ; Mortality

Out-of-hospital Cardiac Arrest ; Heart Arrest ; Policy ; Covid-19 ; Pandemics

OBJECTIVES: To analyze the multimorbidity patterns and core diseases among hospitalized patients in different age groups and to explore the impacts of multimorbidity patterns on hospitalization costs. METHODS: Electronic medical records of adult inpatients (aged ≥18 years) from Ningbo Medical Center Lihuili Hospital between January 1, 2018, and June 30, 2023 were collected. The multimorbidity status involving 53 specific diseases was analyzed across different age groups. Association rule mining was used to identify common multimorbidity patterns. Complex network analysis was used to identify core diseases within the multimorbidity networks. Generalized estimating equations (GEE) were used to analyze the impact of different multimorbidity patterns on hospitalization costs. RESULTS: The prevalence of multimorbidity among the 359 402 adult inpatients was 38.51%, with higher rates observed in males (43.60%) and elderly patients (58.29%). Association rule mining identified 15 common multimorbidity patterns, which exhibited differences across age groups. The most prevalent multimorbidity pattern overall was "diabetes→hypertension" (support=7.04%, confidence=62.17%, lift=2.17). In the young adult group, the most prevalent pattern was "dyslipidemia→chronic liver disease" (support=1.19%, confidence=53.17%, lift=6.04). In the middle-aged group, it was "diabetes→hypertension" (support=4.84%, confidence=50.28%, lift=2.15). In the elderly group, it was "coronary heart disease, diabetes→hypertension" (support=2.38%, confidence=77.43%, lift=1.63). Complex network analysis revealed that the core diseases within multimorbidity networks differed across age groups. The core disease identified in the young adult group was chronic liver disease (degree centrality=50, betweenness centrality=0.055, closeness centrality=0.963). Core diseases in the middle-aged group included hypertension, chronic liver disease, and diabetes (all with degree centrality=52, betweenness centrality=0.022, closeness centrality=1.000). Core diseases in the elderly group comprised hypertension, diabetes, malignant tumors, chronic liver disease, thyroid disease, anemia, and arrhythmia (all with degree centrality=52, betweenness centrality=0.009, closeness centrality=1.000). Generalized estimating equations analysis indicated that, most multimorbidity patterns were significantly associated with increased hospitalization costs. However, the magnitude of cost increase varied across different multimorbidity patterns. Specifically, hospitalization costs for patients with patterns such as "heart failure→hypertension", "stroke→hypertension", "malignant tumor, diabetes→hypertension", "stroke, diabetes→hypertension", and "diabetes, heart failure→hypertension" were more than double those of patients without any target diseases. CONCLUSIONS Multimorbidity patterns and core diseases among hospitalized patients differ significantly across age groups, and different patterns exert varying impacts on hospitalization costs. These findings underscore the necessity for age-stratified and multimorbidity pattern specific management strategies.
Humans ; Multimorbidity ; Male ; Hospitalization/economics* ; Female ; Aged ; Middle Aged ; Adult ; Age Factors ; Young Adult ; Adolescent ; Diabetes Mellitus/epidemiology* ; Electronic Health Records ; Aged, 80 and over ; Hospital Costs ; China/epidemiology* ; Hypertension/economics* ; Liver Diseases/epidemiology*

BACKGROUND: A comprehensive understanding of the epidemiology of pediatric out-of-hospital cardiac arrest (OHCA) occurring under school supervision is lacking. We aimed to comprehensively describe the characteristics and outcomes of OHCA among students in elementary schools, junior high schools, high schools, and technical colleges in Japan. METHODS: OHCA data from 2008-2021 were obtained from the SPIRITS study, which provides a nationwide database of OHCAs occurring under school supervision across Japan. We included cases in which resuscitation was attempted by emergency medical service personnel or bystanders. The cases were classified into three groups based on their etiology: cardiac, non-cardiac, and traumatic origin. The primary outcome was one-month survival with favorable neurological outcomes, defined as a Glasgow-Pittsburgh cerebral performance category of 1 or 2. The demographic characteristics, event details, and outcomes were compared across the three groups by using χ² tests for categorical variables and one-way analyses of variance for continuous variables. RESULTS: During the 14-year study period, 602 OHCA cases were confirmed, with 430 (71.4%) classified as cardiac, 91 (15.1%) as non-cardiac, and 81 (13.5%) as traumatic origin. Non-cardiac and traumatic cases were less likely to be witnessed at the time of arrest (46.2% and 42.0%, respectively) than cardiac cases (82.6%; p < 0.001). Initiation of cardiopulmonary resuscitation by bystanders was less common in non-cardiac and traumatic cases (62.6% and 42.0%, respectively) than that in cardiac cases (82.8%; p < 0.001). The delivery of defibrillation using public-access automated external defibrillators was also significantly less frequent in non-cardiac (3.3%) and traumatic cases (6.2%) than that in cardiac cases (59.8%; p < 0.001). Ventricular fibrillation (VF) as the first documented rhythm was observed in 77.9% of cardiac cases but was much less common in non-cardiac (5.5%) and traumatic cases (8.6%; p < 0.001). One-month survival with favorable neurological outcomes was significantly lower in non-cardiac (6.6%) and traumatic cases (0%) than that in cardiac cases (50.2%; p < 0.001). CONCLUSIONS OHCAs of cardiac origin were more frequently associated with VF and had relatively good prognoses. In contrast, OHCAs of non-cardiac and traumatic origins consistently resulted in poor outcomes, highlighting the critical importance of prevention strategies to reduce the occurrence of these incidents.
Out-of-Hospital Cardiac Arrest/etiology* ; Humans ; Japan/epidemiology* ; Male ; Female ; Child ; Students/statistics & numerical data* ; Schools/statistics & numerical data* ; Adolescent ; Cardiopulmonary Resuscitation/statistics & numerical data* ; Emergency Medical Services/statistics & numerical data* ; Epidemiologic Studies

OBJECTIVE: Referring to the application of the NEH (Nawaz-Enscore-Ham) algorithm in flow shop scheduling, this paper proposes an optimization method of hospital medical consumables discrete scheduling based on the extended NEH algorithm, in order to obtain the optimal medical consumables discrete scheduling scheme and achieve the optimization of medical consumables discrete scheduling. METHODS: Thoroughly analyze the scheduling needs of medical consumables in hospitals, predict the demand for medical consumables in each department. Construct a discrete scheduling optimization model for medical consumables and determine the constraint conditions for building the model (residual coefficient matrix, efficiency constraint matrix, and time window function). Then, solve the discrete scheduling optimization model for medical consumables based on the extended NEH algorithm. RESULTS: By comparison the data before and after the experiment, it is found that the discrete scheduling time and cost of medical consumables in experimental departments have decreased to varying degrees, and all the differences are statistically significant ( P<0.05). CONCLUSION Through experiments, it is known that the optimized medical consumables discrete scheduling scheme proposed meets the requirements of discrete scheduling time and cost, providing a better solution for hospital medical consumables discrete scheduling.
Algorithms ; Materials Management, Hospital ; Appointments and Schedules

OBJECTIVES: The Charlson comorbidity index reflects overall comorbidity burden and has been applied in cardiovascular medicine. However, its role in predicting in-hospital mortality in patients with acute myocardial infarction (AMI) complicated by ventricular arrhythmias (VA) remains unclear. This study aims to evaluate the predictive value of the Charlson comorbidity index in this setting and to construct a nomogram model for early risk identification and individualized management to improve outcomes. METHODS: Using the open-access critical care database MIMIC-IV (Medical Information Mart for Intensive Care IV), we identified intensive care unit (ICU) patients diagnosed with AMI complicated by VA. Patients were grouped according to in-hospital survival. The predictive performance of the Charlson comorbidity index and other clinical variables for in-hospital mortality was analyzed. Key predictors were selected using the least absolute shrinkage and selection operator (LASSO) regression, followed by multivariable Logistic regression. A nomogram model was constructed based on the regression results. Model performance was assessed using receiver operating characteristic (ROC) curves and calibration plots. RESULTS: A total of 1 492 patients with AMI and VA were included, of whom 340 died and 1 152 survived during hospitalization. Significant differences were observed between survivors and non-survivors in sex distribution, vital signs, comorbidity burden, organ function, and laboratory parameters (all P<0.05). The area under the curve (AUC) of the Charlson comorbidity index for predicting in-hospital mortality was 0.712 (95% CI 0.681 to 0.742), significantly higher than albumin, international normalized ratio (INR), hemoglobin, body temperature, and platelet count (all P<0.001), but comparable to Sequential Organ Failure Assessment (SOFA) score (P>0.05). LASSO regression identified seven key predictors: the Charlson comorbidity index (quartile groups: T1, <6; T2, ≥6-<7; T3, ≥7-<9; T4, ≥9), ventricular fibrillation, age, systolic blood pressure, respiratory rate, body temperature, and SOFA score. Multivariate Logistic regression showed that compared with T1, mortality risk increased significantly in T2 (OR=1.996, 95% CI 1.135 to 3.486, P=0.016), T3 (OR=3.386, 95% CI 2.192 to 5.302, P<0.001), and T4 (OR=5.679, 95% CI 3.711 to 8.842, P<0.001). Age (OR=1.056, P<0.001), respiratory rate (OR=1.069, P<0.001), SOFA score (OR=1.223, P<0.001), and ventricular fibrillation (OR=2.174, P<0.001) were independent risk factors, while systolic blood pressure (OR=0.984, P<0.001) and body temperature (OR=0.648, P<0.001) were protective factors. The nomogram incorporating these predictors achieved an AUC of 0.849 (95% CI 0.826 to 0.871) with high discrimination and good calibration (mean absolute error=0.014). CONCLUSIONS The Charlson comorbidity index is an independent predictor of in-hospital mortality in AMI patients complicated by VA, with performance comparable to the SOFA score. The nomogram model based on the Charlson comorbidity index and additional clinical variables effectively estimates mortality risk and provides a valuable reference for clinical decision-making.
Humans ; Nomograms ; Hospital Mortality ; Myocardial Infarction/complications* ; Male ; Female ; Comorbidity ; Middle Aged ; Aged ; Arrhythmias, Cardiac/complications* ; ROC Curve ; Intensive Care Units