BACKGROUND: Children with congenital heart disease (CHD) often require other, non-cardiac related surgical procedures following their initial cardiac surgery. After full or partial CHD repair, they remain at increased risk of postoperative complications. We examined the association of previous cardiac intervention (surgery or percutaneous catheterization intervention) with postoperative pneumonia in infants undergoing abdominal general surgery.
METHODS: A 1:1 propensity score-matched study was conducted using a retrospective cohort of 104,820 infants (<12 months) who had general abdominal surgeries between 2012 and 2022 in U.S. hospitals participating in the National Surgical Quality Improvement Program. The primary outcome was postoperative pneumonia within 30 days. Secondary outcomes included unplanned reintubation, prolonged mechanical ventilation (>72 h), and extended hospital stay (>75th percentile for the study cohort).
RESULTS: Of the study cohort, 9736 infants (9.3%) had previous cardiac interventions. In the propensity score-matched sample, infants with previous cardiac surgery had increased risks of postoperative pneumonia (1.3% vs 0.8%; adjusted relative risk [RRadj]: 1.64, 95% CI: 1.22, 2.18, p = 0.001), unplanned reintubation (57.8% vs 32.6%; RRadj: 1.77, 95% CI: 1.77, 1.85, p < 0.001), prolonged mechanical ventilation (5.0% vs 2.3%; RRadj: 2.14, 95% CI: 1.83, 2.52, p < 0.001), and prolonged hospital stays (61.0% vs 53.8%; RRadj: 1.13, 95% CI: 1.10, 1.17, p < 0.001).
CONCLUSIONS: A history of previous cardiac intervention carries an increased risk of postoperative pneumonia, unplanned tracheal reintubation, prolonged mechanical ventilation, as well as longer hospital stays following intra-abdominal surgery. Clinicians should closely monitor these patients for respiratory complications after surgery.
METHODS: II.

Objective: The aim of the present study was to evaluate the hospital length of stay (LoS) and its associated factors among adult patients hospitalized with depression in Germany. Methods: This cross-sectional study included all adults (≥18 years) hospitalized with depression from January 2019 to December 2023 treated in 36 hospitals across Germany. The primary outcome was patients\' hospital LoS in days. The associations between age, sex, depression severity, co-diagnoses, hospital, and hospital LoS were analyzed using hierarchical multivariable linear regression models. Results: A total of 6579 patients (mean age 46.6 ± 17.7 years) with 8965 hospitalizations for depression were available. The mean hospital LoS was 35.2 days. Severe depression (+4.9 days) was associated with a longer hospital LoS, with moderate depression as the reference. Older age was positively associated with a longer hospital LoS. Vitamin D deficiency (+9 days), lipid metabolism disorders (+8 days), obesity (+8 days), sleep disorders (+7 days), and reaction to severe stress and adjustment disorders (+5 days) were also significantly associated with hospital LoS. Conclusions: In patients with depression, higher depression severity, advanced age, vitamin D deficiency, lipid metabolism disorders, obesity, sleep disorders, reactions to severe stress, and adjustment disorders were associated with a longer hospital LoS. Addressing these factors through comprehensive and integrated care strategies could help optimize hospitalization duration and improve overall patient outcomes.

UNASSIGNED: Venous thromboembolism (VTE) is a multifactorial condition and one of the leading causes of mortality and disability. The present study explores the factors associated with hospitalization duration among different types of venous thromboembolism diagnoses, such as deep vein thrombosis (DVT), pulmonary embolism (PE), and other forms of thrombosis.
UNASSIGNED: The data included participants with VTE admitted to 13 hospitals within pan-India from June 2022 to December 2023 to the i-RegVed registry, where socio-demographic data, clinical history, and various factors associated with hospital length of stay (LOS) were included for analyses. Multilinear regression was performed to explore the factors associated with hospital LOS among VTE conditions such as DVT, PE, forms of thrombosis other than PE and DVT, and all VTE diagnoses.
UNASSIGNED: A total of 633 participants were included in the study, with 55% being males, and 28.9% being homemakers. Longer hospital LOS was significantly associated with age (β = -.09, P < .05), sex (β = 3.21, P < .05), and non-communicable diseases (β = 3.51, P < .05) among participants with DVT and among participants with at least one of the VTE diagnoses, age (β = -.12, P < .001) and anticoagulant use (β = -2.49, P < .05) was significantly associated.
UNASSIGNED: The findings provide insights into the factors influencing hospital outcomes among participants with different types of VTE, highlighting the importance of age and comorbidities in predicting the hospital LOS.

Adverse events (AEs) are a significant concern for healthcare systems. However, it is difficult to evaluate their influence because of the complexity of various medical services. This study aimed to assess the influence of AEs on the outcomes of hospitalized patients using a diagnosis-related group (DRG) database. We conducted a case-control study of hospitalized patients at a multi-district tertiary hospital with 2200 beds in China, using data from a DRG database. An AE refers to an unintended physical injury caused or contributed to by medical care that requires additional hospitalization, monitoring, treatment, or even death. Relative weight (RW), a specific indicator of DRG, was used to measure the difficulty of diagnosis and treatment, disease severity, and medical resources utilized. The primary outcomes were hospital length of stay (LOS) and hospitalization costs. The secondary outcome was discharge to home. This study applied DRG-based matching, Hodges-Lehmann estimate, regression analysis, and subgroup analysis to evaluate the influence of AEs on outcomes. Two sensitivity analyses by excluding short LOS and changing adjustment factors were performed to assess the robustness of the results. We identified 2690 hospitalized patients who had been divided into 329 DRGs, including 1345 patients who experienced AEs (case group) and 1345 DRG-matched normal controls. The Hodges-Lehmann estimate and generalized linear regression analysis showed AEs led to prolonged LOS (unadjusted difference, 7 days, 95% confidence interval [CI] 6-8 days; adjusted difference, 8.31 days, 95% CI 7.16-9.52 days) and excess hospitalization costs (unadjusted difference, $2186.40, 95% CI: $1836.87-$2559.16; adjusted difference, $2822.67, 95% CI: $2351.25-$3334.88). Logistic regression analysis showed AEs were associated with lower odds of discharge to home (unadjusted odds ratio [OR] 0.66, 95% CI 0.54-0.82; adjusted OR 0.75, 95% CI 0.61-0.93). The subgroup analyses showed that the results for each subgroup were largely consistent. LOS and hospitalization costs increased significantly after AEs in complex diseases (RW ≥ 2) and in relation to high degrees of harm subgroups (moderate harm and above groups). Similar results were obtained in sensitivity analyses. The burden of AEs, especially those related to complex diseases and severe harm, is significant in China. The DRG database serves as a valuable source of information that can be utilized for the evaluation and management of AEs.

BACKGROUND: Community-acquired pneumonia (CAP) leads to considerable morbidity and mortality globally. However, data on CAP burden in Australia, especially during the coronavirus disease 2019 (COVID-19) pandemic, are limited.
OBJECTIVE: We characterised and assessed clinical outcomes of non-COVID-19 CAP hospitalisations over a 6-year period at two major hospitals in South Australia.
METHODS: All non-COVID-19 CAP hospitalisations were identified using the International Statistical Classification of Diseases and Related Health Problems, Tenth revision, Australian modification (ICD-10-AM) codes, between 1 January 2018 and 31 December 2023, at two tertiary hospitals in Adelaide. Clinical outcomes included in-hospital and 30-day mortality, length of stay (LOS) in, intensive care unit (ICU) admission and 30-day readmissions. Multilevel regression models were utilised to identify predictors of clinical outcomes.
RESULTS: Over the 6-year period, there were 7853 non-COVID-19 CAP hospitalisations, with a temporal increase from 100 per 100 000 population in 2018 to 208 per 100 000 population in 2023 (P < 0.001). The mean (SD) age was 75.1 (17.6) years, and 54.6% were males. The mean age declined over time (P < 0.05), while other characteristics remained stable. Streptococcus pneumoniae was the most commonly identified bacterium (21.8% of cases). In-hospital mortality occurred in 7.8% of patients, with 30-day mortality and readmission rates of 14.3% and 16.9% respectively. LOS declined significantly during the pandemic years; however, mortality remained stable over time. Frailty status, malnutrition and number of comorbidities significantly predicted 30-day mortality and LOS, in addition to pneumonia severity and ICU admission.
CONCLUSIONS: There has been an increasing trend of hospitalisations for non-COVID-19 CAP during the COVID-19 pandemic, with a concomitant trend towards shorter LOS and no significant shift in other clinical outcomes.

UNASSIGNED: The survival rate among preterm infants has improved, and hospital stays have been prolonged, consistent with positive developments in perinatal and neonatal care. The aim of this study was to provide evidence-based information for healthcare professionals concerning the ideal time for discharge by evaluating the reasons for prolonged hospital stays.
UNASSIGNED: Six hundred eighty-one premature babies born at 24-35 weeks at the Mersin University Medical Faculty Hospital between January 2016 and May 2020 and admitted to the neonatal intensive care unit were included in the study following a retrospective file examination. Date of birth (gestational age) and discharge week (duration of hospital stay) calculated from the date of final discharge were recorded. Based on the literature, the ideal discharge time was determined to be 40 weeks according to postmenstrual age (week of birth + length of hospital stay). The primary variable was whether the infants were discharged before the ideal discharge week. The secondary variable was the effect of the presence of comorbidity on the length of hospital stay and ideal discharge time.
UNASSIGNED: The mean hospital stay of preterm neonate born at 250-7-260-7, 270-7-280-7 and 290-7-300-7 weeks was significantly shorter in the absence of comorbidity than in the presence of comorbidity (p = 0.001, 0.004, and 0.008, respectively). More than half (53.5%) were discharged before the expected date of birth as gestational weeks increased, despite the prolonged length of stay in the presence of comorbidity.
UNASSIGNED: Health professionals can inform families that, in the absence of comorbidity, discharge is possible at an average of 36 weeks for 250-7-280-7-week gestational ages, and at an average of 34 weeks for 290-7-320-7-week gestational ages.

METHODS: Randomised controlled trial.
OBJECTIVE: This study aimed to determine the effectiveness of a preoperative bowel preparation protocol comprising bisacodyl to minimize postoperative gastrointestinal morbidities and the hospital length of stay for patients with adolescent idiopathic scoliosis.
BACKGROUND: Patients who undergo scoliosis correction surgery frequently experience postoperative gastrointestinal morbidities and a prolonged hospital length of stay. Emesis, paralytic ileus and constipation are the most common gastrointestinal morbidities. Opioid medication is a well-known risk factor for gastrointestinal complications after scoliosis correction surgery.
METHODS: Eighty-seven patients (22 boys [25.3%] and 65 girls [74.7%]) with a mean age of 17.7 years (standard deviation [SD], ±2.2 years) diagnosed with adolescent idiopathic scoliosis were enrolled in this study and randomized into 2 groups. Group A comprised 44 patients who received a preoperative bowel preparation comprising bisacodyl. Group B comprised 43 patients who did not receive any preoperative medication. Demographic data, height, weight, medical and surgical comorbidities, Risser status, number of instrumented levels and preoperative opioid consumption of all patients were evaluated.
RESULTS: Group A experienced fewer postoperative abdominal symptoms than group B. The mean hospital length of stay was 4.1 days (SD, ±.6 days; median, 4 days; range, 3-5 days) for group A; however, it was 5.3 days (SD, ±.8 days; median, 5 days; range, 4-7 days) for group B (P = .01).
CONCLUSIONS: The use of a bowel preparation protocol before scoliosis correction surgery for patients with adolescent idiopathic scoliosis can effectively decrease postoperative gastrointestinal morbidities and the hospital length of stay.

Lymphopenia is a common feature of acute COVID-19 and is associated with increased disease severity and 30-day mortality. Here we aim to define the demographic and clinical characteristics that correlate with lymphopenia in COVID-19 and determine if lymphopenia is an independent predictor of poor clinical outcome. We analysed the ENTER-COVID (Epidemiology of hospitalized in-patient admissions following planned introduction of Epidemic SARS-CoV-2 to highly vaccinated COVID-19 naïve population) dataset of adults (N = 811) admitted for COVID-19 treatment in South Australia in a retrospective registry study, categorizing them as (a) lymphopenic (lymphocyte count < 1 × 109/L) or (b) non-lymphopenic at hospital admission. Comorbidities and laboratory parameters were compared between groups. Multiple regression analysis was performed using a linear or logistic model. Intensive care unit (ICU) patients and non-survivors exhibited lower median lymphocyte counts than non-ICU patients and survivors respectively. Univariate analysis revealed that low lymphocyte counts associated with hypertension and correlated with haemoglobin, platelet count and negatively correlated with urea, creatinine, bilirubin, and aspartate aminotransferase (AST). Multivariate analysis identified age, male, haemoglobin, platelet count, diabetes, creatinine, bilirubin, alanine transaminase, c-reactive protein (CRP) and lactate dehydrogenase (LDH) as independent predictors of poor clinical outcome in COVID-19, while lymphopenia did not emerge as a significant predictor.

Objective: There is a scarcity of data on hospital length of stay (LOS) in the osteoarthritis population. Therefore, this study aimed to investigate hospital LOS and associated factors in patients with osteoarthritis from Germany. Methods: The present cross-sectional study included patients hospitalized for osteoarthritis in one of fourteen hospitals in Germany between 2018 and 2023 (hospital database; IQVIA). The study outcome was the duration of hospital stay in days. Study covariables included age, sex, hospital department, osteoarthritis type, co-diagnosis, and hospitalization-related procedure. Associations between covariables and hospital LOS were analyzed using hierarchical linear regression models. Results: There were 8770 patients included in the study (mean [standard deviation] age 68.7 [10.8] years; 60.2% women). The mean (standard deviation) hospital LOS was 8.5 (5.0) days. Factors positively and significantly associated with hospital LOS were older age, female sex, orthopedic surgery and other medical specialty departments (compared with other surgery departments), knee and other and unspecified osteoarthritis (compared with hip osteoarthritis), multiple co-diagnoses (e.g., acute posthemorrhagic anemia, other disorders of fluid, electrolyte, and acid-base balance, and disorders of purine and pyrimidine metabolism), and several hospitalization-related procedures (i.e., geriatric rehabilitation, hip arthroplasty, and knee arthroplasty). Conclusions: The mean hospital LOS was higher than eight days in this osteoarthritis population from Germany, with a spectrum of demographic, clinical, and hospitalization-related factors associated with this hospital LOS. In this context, interventions are needed to reduce the LOS of hospitalizations for osteoarthritis in Germany.

OBJECTIVE: Modifiable comorbidities (MCMs) have previously been shown to complicate postoperative wound healing occasionally leading to surgeon hesitancy to repair ventral hernias prior to preoperative optimization of comorbidities. This study describes the effects of MCMs on surgical site occurrences (SSOs) and hospital length of stay (LOS) following robotic transversus abdominis release (TAR) with poly-4-hydroxybutyrate (P4HB) resorbable biosynthetic mesh retromuscular sublay for ventral hernia repair in patients who had not undergone preoperative optimization.
METHODS: A single-surgeon retrospective review was performed for patients who underwent the robotic TAR procedure with P4HB mesh between January 2015 and May 2022. Patients were stratified by the amount of MCMs present: 0, 1, or 2 + . MCMs included obesity, diabetes, and current tobacco use. Patient data was analyzed for the first 60 days following their operation. Primary outcomes included 60-day SSO rates and hospital LOS.
RESULTS: Three hundred and thirty-four subjects met the inclusion criteria for SSO and prolonged LOS analysis. 16.8% had no MCM, 56.1% had 1 MCM, and 27% had 2 + MCMs. No significant difference in SSO was seen between the 3 groups; however, having 2 + MCMs was significantly associated with increased odds of SSO (odds ratio 3.25, P = .019). When the groups were broken down, only having a history of diabetes plus obesity was associated with significantly increased odds of SSO (odds ratio 3.54, P = .02). No group showed significantly increased odds of prolonged LOS.
CONCLUSIONS: 2 + MCMs significantly increase the odds of SSO, specifically in patients who have a history of diabetes and obesity. However, the presence of any number of MCMs was not associated with increased odds of prolonged LOS.