Preoperative Opioid Use Increases Postoperative Opioid Demand, but not Length of Stay after Spine Trauma Surgery.

BACKGROUND: Preoperative opioid use has been well-studied in elective spinal surgery and correlated with numerous postoperative complications including increases in immediate postoperative opioid demand (POD), continued opioid use postoperatively, prolonged length of stay (LOS), readmissions, and disability. There is a paucity of data available on the use of preoperative opioids in surgery for spine trauma, possibly because there are minimal options for opioid reduction prior to emergent spinal surgery. Nevertheless, patients with traumatic spinal injuries are at a high risk for adverse postoperative outcomes. This study investigated the effects of preoperative opioid use on POD and LOS in spine trauma patients. METHODS: 130 patients were grouped into two groups for primary comparison: Group 1 (Preoperative Opioid Use, N=16) and Group 2 (No Opioid Use, N=114). Two subgroups of Group 2 were used for secondary analysis against Group 1: Group 3 (No Substance Abuse, N=95) and Group 4 (Other Substance Abuse, N=19). Multivariable analysis was used to determine if there were significant differences in POD and LOS. RESULTS: Primary analysis demonstrated that preoperative opioid users required an estimated 97.5 mg/day more opioid medications compared to non-opioid users (p<0.001). Neither primary nor secondary analysis showed a difference in LOS in any of the comparisons. CONCLUSIONS: Preoperative opioid users had increased POD compared to non-opioid users and patients abusing other substances, but there was no difference in LOS. We theorize the lack of difference in LOS may be due to the enhanced perioperative recovery protocol used, which has been demonstrated to reduce LOS.

The relationship between Glasgow Prognostic Score and hospital duration in patients with inflammatory bowel diseases.

BACKGROUND AND OBJECTIVES: Both hypoalbuminemia and inflammation were common in patients with inflammatory bowel diseases (IBD), however, the combination of the two parameters on hospital duration re-mained unknown. METHODS AND STUDY DESIGN: This is a retrospective two-centre study performed in two tertiary hospitals in Shanghai, China. Serum levels of C-Reactive Protein (CRP) and albumin (ALB) were measured within 2 days of admission. Glasgow prognostic score (GPS), based on CRP and ALB, was calculated as follows: point "0" as CRP <10 mg/L and ALB ≥35 g/L; point "1" as either CRP ≥10 mg/L or ALB <35 g/L; point "2" as CRP ≥10 mg/L and ALB <35 g/L. Patients with point "0" were classified as low-risk while point "2" as high-risk. Length of hospital stay (LOS) was defined as the interval between admission and discharge. RESULTS: The proportion of low-risk and high-risk was 69.3% and 10.5% respectively among 3,009 patients (65% men). GPS was associated with LOS [ß=6.2 d; 95% CI (confidence interval): 4.0 d, 8.4 d] after adjustment of potential co-variates. Each point of GPS was associated with 2.9 days (95% CI: 1.9 d, 3.9 d; ptrend<0.001) longer in fully adjusted model. The association was stronger in patients with low prealbumin levels, hypocalcaemia, and hypokalaemia relative to their counterparts. CONCLUSIONS: GPS was associated with LOS in IBD patients. Our results highlighted that GPS could serve as a convenient prognostic tool associated with nutritional status and clinical outcome.

Impact of the COVID-19 Pandemic on Hospital Admission Rate, Length of Stay, and Mortality Rate for Patients with Chronic Obstructive Pulmonary Disease Exacerbation: A Retrospective Study.

Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is a common cause of hospital admissions. Coronavirus disease 2019 (COVID-19) has large impact on patients with pulmonary diseases. The purpose of the study is to evaluate the impact of COVID-19 on patients with AECOPD. Method: Retrospective study with two cohorts, the first period included patients with AECOPD before COVID-19 pandemic; the second period included patients with AECOPD since the beginning of COVID-19 pandemic. The length of stay (LOS), number of patients requiring mechanical ventilation, and allcause mortality were calculated. Results: There was a total of 55 (44.72%) patients in the pre-COVID period compared to 68 (55.28%) patients in the COVID period. In the pre-COVID period: 14 (19.44%) had hypertension, 26(36.11%) had diabetes, 27(37.50%) had ischemic heart disease, 3(4.17%) had myocardial infarction; in the COVID period: 20 (29.41%) had hypertension, 24(35.29%) had diabetes, 27(39.71%) had ischemic heart disease, 1(1.47) had myocardial infarction. The LOS was shorter in pre-COVID period compared to COVID period, 6.51(SD 5.02) days vs 8.91(SD7.88) days with P-value of 0.042 respectively. The total number of patients needing mechanical ventilation in pre-COVID period was similar to the COVID period with P-value of 0.555. All-cause mortality number was 2 (3.64%) in the pre-COVID period compared to 6 (8.82%) in COVID period with P-value of 0.217. Conclusion: Study results revealed significant difference in length of stay for patients with AECOPD, patient in COVID period had increased LOS compared to pre-COVID period. There was no significant difference in the other parameters.

Linguistic isolation correlates with length of stay and mortality for pediatric oncology patients in California.

OBJECTIVE: To evaluate social drivers of health and how they impact pediatric oncology patients' clinical outcomes during pediatric intensive care unit (PICU) admission via correlation with patient ZIP codes. METHODS: Demographic, clinical, and outcome variables from Virtual Pediatric Systems®, LLC for oncology patients (2009-2021) in California PICUs (excluding postoperative) using 3-digit ZIP Codes with social drivers of health variables linguistic isolation, poverty, race/ethnicity, and education abstracted from American Community Survey data for 3-digit ZIP Codes using the Environmental Protection Agency's EJScreen tool. Outcomes of length of stay (LOS), mortality, acuity scores, were compared with social variables. RESULTS: Positive correlation between mortality and minority racial groups (Hispanic/Latino) across ZIP Codes (correlation coefficients of 0.45 (95% CI: 0.22-0.64, p < 0.001) in 2017, 0.50 (95% CI: 0.27-0.68, p < 0.001) in 2018, 0.33 (95% CI: 0.07-0.54, p = 0.013) in 2020, and 0.32 (95% CI: 0.06-0.53, p = 0.018) in 2021). Median PICU length of stay significantly correlated with linguistic isolation (coefficient of 0.42 (95% CI: 0.18-0.61, p = 0.001) in 2021 versus -0.41 (95% CI: -0.61 to -0.16, p = 0.002) in 2019), which included PRISMIII (n = 7417). Mixed effects logistic regression model for other constant variables (PRISMIII, cancer type, race/ethnicity, year), random effect of patient, linguistic isolation (percentage as a continuous value) was significantly associated (95% CI: 1.01-1.06; p = 0.02) with mortality; (OR = 1.03). CONCLUSIONS: Linguistic isolation was correlated with LOS and mortality, however variable year to year.

Determining factors on length of stay in primary total knee arthroplasty patients using enhanced recovery protocol after surgery (ERAS) pathway. / Factores determinantes de la duración de la estancia hospitalaria en pacientes operados de artroplastia primaria total de rodilla usando un protocolo de recuperación mejorada (ERAS).

INTRODUCTION: There is an increase in degenerative arthropathies because of the increase in the longevity of world's population, making primary knee arthroplasties a procedure to recover quality of life without pain. There are factors associated with the length of hospital stay after this procedure. OBJECTIVE: To determine the risk factors influencing the hospital stay during the postoperative period of patients undergoing primary total knee arthroplasty with an enhanced recovery after surgery protocol (ERAS). METHODS: A retrospective study is carried out on patients undergoing primary total knee arthroplasty at a University Hospital in the period 2017-2020 using the ERAS protocol, during which 957 surgeries were performed. RESULTS: Average age of 71.7 ± 8.2 years, 62.4% were women and the 77.3% were classified as ASA II. The significantly associated factors to an increased length of stay are: age (P = .001), ASA scale (P = .04), day of surgery (P < .001), blood transfusion (P < .001), postoperative haemoglobin level at 48-72 h (P < .001), the time of first postoperative mobilization to ambulate and climb stairs (P < .001), the need for analgesic rescues (P = .003), and the presence of postoperative nausea and vomiting (P = .008). CONCLUSIONS: There are statistically significant and clinically relevant factors associated with hospital stay. Determining these factors constitutes an advantage in hospital management, in the development of strategies to improve and optimize the quality of care and available health resources.

Evaluating the Impact of Point-of-Care Electroencephalography on Length of Stay in the Intensive Care Unit: Subanalysis of the SAFER-EEG Trial.

BACKGROUND: Electroencephalography (EEG) is needed to diagnose nonconvulsive seizures. Prolonged nonconvulsive seizures are associated with neuronal injuries and deleterious clinical outcomes. However, it is uncertain whether the rapid identification of these seizures using point-of-care EEG (POC-EEG) can have a positive impact on clinical outcomes. METHODS: In a retrospective subanalysis of the recently completed multicenter Seizure Assessment and Forecasting with Efficient Rapid-EEG (SAFER-EEG) trial, we compared intensive care unit (ICU) length of stay (LOS), unfavorable functional outcome (modified Rankin Scale score ≥ 4), and time to EEG between adult patients receiving a US Food and Drug Administration-cleared POC-EEG (Ceribell, Inc.) and those receiving conventional EEG (conv-EEG). Patient records from January 2018 to June 2022 at three different academic centers were reviewed, focusing on EEG timing and clinical outcomes. Propensity score matching was applied using key clinical covariates to control for confounders. Medians and interquartile ranges (IQRs) were calculated for descriptive statistics. Nonparametric tests (Mann-Whitney U-test) were used for the continuous variables, and the χ2 test was used for the proportions. RESULTS: A total of 283 ICU patients (62 conv-EEG, 221 POC-EEG) were included. The two populations were matched using demographic and clinical characteristics. We found that the ICU LOS was significantly shorter in the POC-EEG cohort compared to the conv-EEG cohort (3.9 [IQR 1.9-8.8] vs. 8.0 [IQR 3.0-16.0] days, p = 0.003). Moreover, modified Rankin Scale functional outcomes were also different between the two EEG cohorts (p = 0.047). CONCLUSIONS: This study reveals a significant association between early POC-EEG detection of nonconvulsive seizures and decreased ICU LOS. The POC-EEG differed from conv-EEG, demonstrating better functional outcomes compared with the latter in a matched analysis. These findings corroborate previous research advocating the benefit of early diagnosis of nonconvulsive seizure. The causal relationship between the type of EEG and metrics of interest, such as ICU LOS and functional/clinical outcomes, needs to be confirmed in future prospective randomized studies.

Real-world assessment of longitudinal opioid use and healthcare resource utilization in patients undergoing colorectal resection.

Liposomal bupivacaine (LB) has been used in multimodal pain management regimens to improve postsurgical analgesia. This retrospective cohort analysis assessed clinical and economic outcomes of LB vs non-LB analgesia in minimally invasive colorectal resection surgery using real-world patient data from the IQVIA linkage claims databases. Patients who received LB were 1:1 matched to patients who did not receive LB (non-LB) via propensity scores. Outcomes included opioid use during the perioperative (2 weeks before surgery to 2 weeks after discharge), continued (>2 weeks to 3 months after discharge), and persistent (>3 months to 6 months after discharge) periods and healthcare resource utilization (HRU) during the first 3 months after discharge. Mean opioid consumption was lower in the LB (n = 4397) versus non-LB (n = 4397) cohort perioperatively (483 vs 538 morphine milligram equivalents [MMEs]; P = 0.001) and after discharge within ∼3 months (222 vs 328 MMEs; P < 0.0001) and 3-6 months (245 vs 384 MMEs; P < 0.0001). The LB cohort had shorter mean length of stay (5.2 vs 5.7 days; P < 0.0001) and fewer inpatient readmissions (odds ratio [OR], 0.71; P < 0.0001), emergency department visits (OR, 0.78; P < 0.0001), and outpatient/office visits (OR, 0.91; P = 0.028) than the non-LB cohort 3 months after discharge. These data suggest use of LB in minimally invasive colorectal resection surgery may reduce perioperative and postdischarge opioid use as well as HRU. Although additional studies are needed to confirm these findings, this analysis provides valuable real-world data from large claims databases to evaluate clinical and economic outcomes that complement other types of retrospective and prospective studies.

Efficiency Analysis of Hemostatic Agents in Drainless Neck Surgery: Cellulose-Based Versus Liquid Fibrin Sealants.

PURPOSE:  Using liquid fibrin sealants has once again questioned the benefit of drain placement in head and neck operations. Cellulose-based hemostats offering different hemostasis mechanisms have scarcely been investigated in drainless neck surgeries. This study aimed to evaluate whether liquid fibrin sealant offers any advantage over cellulose-based hemostats in various head and neck surgeries. METHODS: A prospective trial of patients who underwent various neck surgeries between 2020 and 2022. Baseline characteristics and postoperative outcomes were compared between the drain-placed and the drainless groups, with the latter sub-categorized into three groups: fibrin sealant, cellulose-based hemostats, and a combination of both. RESULTS: A total of 119 patients were included (63 thyroidectomies, 40 parathyroidectomies, and 16 sialoadenectomies). Fifty eight had a drain placed and 61 had no drain. In the drainless group, 23 patients received cellulose-based absorbable hemostats (SURGICEL®/ FIBRILLAR™); 18 patients had fibrin sealants (EVICEL®/TachoSil®/TISSEEL); in 16, a combination of both was used; and in four patients, no hemostatic agent was used. Three (5%) of the 61 drainless patients developed a seroma compared to one (2%) seroma in the drain-placed patients. No advantage was demonstrated using a combination of FIBRILLAR™ with a fibrin sealant nor for any used separately. Drain placement delayed patient discharge by at least one day compared to the group without a drain (p < 0.001). CONCLUSION: Drain placement offered a minor advantage in the postoperative course reducing rates of seroma formation, while delaying patient discharge by at least one day. There was no advantage in using a specific hemostatic agent over the other.

Evaluating the Impact of Emergency Department Length of Stay in a Military Training Hospital Following the Implementation of a Standardized Paging System.

Emergency department (ED) lengths of stay (LOS) may be unnecessarily extended by inefficient consulting processes. Delays in initiating consultations, returning calls, consultant evaluation of patients, and communication of recommendations can contribute to potentially avoidable increases in LOS. Prolonged ED LOS has been shown to increase patient morbidity and mortality and to decrease patient satisfaction. We created a standardized procedure for ED-initiated consultations, with the goal of reducing the time to initial consultant callback, time to admission, and total ED LOS. Following our intervention, time to consultant callback was decreased; however, there was no reduction in total ED LOS for admitted patients.

Enhancing End-of-Life Care with Home-Based Palliative Interventions: A Systematic Review.

CONTEXT: Home-Based Palliative Care (HPC) interventions have emerged as a promising approach to deliver patient-centered care in familiar surroundings, aligning with patients' preferences and improving quality of life (QOL). OBJECTIVES: This review aimed to systematically assess the impact of HPC interventions on symptom management, QOL, healthcare resource utilization and place of death among patients with severe, progressive illnesses requiring end-of-life care. METHODS: A comprehensive search was conducted across PubMed, Cochrane, and Scopus databases to identify relevant studies published between January 1, 2013, and December 31, 2023. Eligible studies included randomized controlled trials and clinical studies evaluating the effectiveness of HPC interventions compared to usual care. Risk of bias assessment was performed using Cochrane tools. RESULTS: Nine publications meeting inclusion criteria were identified. Findings indicate that HPC interventions, delivered by specialized teams or integrated care approaches, significantly improve QOL and increase the likelihood of patients dying at home. Moreover, HPC is associated with reduced healthcare utilization, including fewer hospital admissions, emergency department visits, and shorter hospital stays. No significant differences were observed in symptom management. CONCLUSION: HPC interventions demonstrate significant benefits in addressing the complex needs of patients with advanced illnesses. These findings underscore the importance of integrating HPC into healthcare systems to optimize outcomes and promote quality end-of-life care. Future research should focus on expanding access to HPC services, enhancing interdisciplinary collaboration, and incorporating patient preferences to further improve care delivery in this vulnerable population.

Development and validation of a nomogram to predict diabetes ketoacidosis resolution time in a tertiary care hospital in the United Arab Emirates.

AIM: This study aimed to develop and validate a nomogram to predict prolonged diabetes ketoacidosis (DKA) resolution time (DRT). METHODS: We retrospectively extracted sociodemographic, clinical, and laboratory data from the electronic medical records of 394 adult patients with DKA admitted to Tawam Hospital between January 2017 and October 2022. Logistic regression stepwise model was developed to predict DRT ≥ 24 h. Model discrimination was evaluated using C-index and calibration was determined using calibration plot and Brier score. RESULTS: The patients' average age was 34 years; 54 % were female. Using the stepwise model, the final variables including sex, diabetes mellitus type, loss of consciousness at presentation, presence of infection at presentation, body mass index, heart rate, and venous blood gas pH at presentation were used to generate a nomogram to predict DRT ≥ 24 h. The C-index was 0.76 in the stepwise model, indicating good discrimination. Despite the calibration curve of the stepwise model showing a slight overestimation of risk at higher predicted risk levels, the Brier score for the model was 0.17, indicating both good calibration and predictive accuracy. CONCLUSION: An effective nomogram was established for estimating the likelihood of DRT ≥ 24 h, facilitating better resource allocation and personalized treatment strategy.

Comparison of Two Previously Validated Risk Assessment and Prediction Tool Models in Extended Length of Stay Patients Following Total Hip Arthroplasty.

INTRODUCTION: Previous studies have attempted to validate the risk assessment and prediction tool (RAPT) in primary total hip arthroplasty (THA) patients. The purpose of this study was to: (1) identify patients who had an extended length of stay (ELOS) following THA; and (2) compare the accuracy of two previously validated RAPT models. METHODS: We retrospectively reviewed all primary THA patients from 2014 to 2021 who had a completed RAPT score. Youden's J computational analysis was used to determine the LOS where facility discharge was statistically more likely. Based on the cut-offs proposed by Oldmeadow and Dibra, patients were separated into high- (O: 1 to 5 versus D: 1 to 3), medium- (O: 6 to 9 versus D: 4 to 7), and low- (O: 10 to 12 versus D: 8 to 12) risk groups. RESULTS: We determined that a LOS of greater than two days resulted in a higher chance of facility discharge. In these patients (n = 717), the overall predictive accuracy (PA) of the RAPT was 79.8%. The Dibra model had a higher PA in the high-risk group (D: 68.2 versus O: 61.2% facility discharge). The Oldmeadow model had a higher PA in the medium-risk (O: 78.7 versus D: 61.4% home discharge) and low-risk (O: 97.0 versus D. 92.5% home discharge) groups. CONCLUSION: As institutions continue to optimize LOS, the RAPT may need to be defined in the context of a patient's hospital stay. In patients requiring a LOS of greater than two days, the originally established RAPT cut-offs may be more accurate in predicting discharge disposition.

Transition to end-of-life care in patients with neurological diseases in an acute hospital ward.

BACKGROUND: Transitioning to end-of-life care and thereby changing the focus of treatment directives from life-sustaining treatment to comfort care is important for neurological patients in advanced stages. Late transition to end-of-life care for neurological patients has been described previously. OBJECTIVE: To investigate whether previous treatment directives, primary medical diagnoses, and demographic factors predict the transition to end-of-life care and time to eventual death in patients with neurological diseases in an acute hospital setting. METHOD: All consecutive health records of patients diagnosed with stroke, amyotrophic lateral sclerosis (ALS), and Parkinson's disease or other extrapyramidal diseases (PDoed), who died in an acute neurological ward between January 2011 and August 2020 were retrieved retrospectively. Descriptive statistics and multivariate Cox regression were used to examine the timing of treatment directives and death in relation to medical diagnosis, age, gender, and marital status. RESULTS: A total of 271 records were involved in the analysis. Patients in all diagnostic categories had a treatment directive for end-of-life care, with patients with haemorrhagic stroke having the highest (92%) and patients with PDoed the lowest (73%) proportion. Cox regression identified that the likelihood of end-of-life care decision-making was related to advancing age (HR = 1.02, 95% CI: 1.007-1.039, P = 0.005), ischaemic stroke (HR = 1.64, 95% CI: 1.034-2.618, P = 0.036) and haemorrhagic stroke (HR = 2.04, 95% CI: 1.219-3.423, P = 0.007) diagnoses. End-of-life care decision occurred from four to twenty-two days after hospital admission. The time from end-of-life care decision to death was a median of two days. Treatment directives, demographic factors, and diagnostic categories did not increase the likelihood of death following an end-of-life care decision. CONCLUSIONS: Results show not only that neurological patients transit late to end-of-life care but that the timeframe of the decision differs between patients with acute neurological diseases and those with progressive neurological diseases, highlighting the particular significance of the short timeframe of patients with the progressive neurological diseases ALS and PDoed. Different trajectories of patients with neurological diseases at end-of-life should be further explored and clinical guidelines expanded to embrace the high diversity in neurological patients.

Impact of antibiotic therapy in patients with respiratory viral infections: a retrospective cohort study.

OBJECTIVES: The impact of antibiotics in patients with positive polymerase chain reaction (PCR) for respiratory viruses without evidence of a respiratory bacterial co-infection is largely unknown. The aim of this study was to assess the association of antibiotics on 30-day mortality and length of hospital stay in patients with an acute respiratory infection and PCR documented presence of respiratory viruses. METHODS: We conducted a retrospective cohort study of adult patients admitted to hospital between 2012 and 2021 with positive PCR for influenza virus (H3N2, H1N1, influenza B), respiratory syncytial virus, human metapneumovirus or severe acute respiratory syndrome coronavirus 2. We used logistic regression, the Kaplan-Meier estimator and Poisson's regression to assess the impact of antibiotic therapy on outcomes. RESULTS: Among 3979 patients, 67.7% received antibiotics. In adjusted analyses, antibiotics initiated in the emergency department (adjusted OR 1.23, 95% CI 0.77-1.96) and days of antibiotic therapy (adjusted OR per day of therapy 0.98, 95% CI 0.95-1.00) had no significant impact on mortality, whereas antibiotics initiated later during admission (adjusted OR 2.25, 95% CI 1.26-4.02) was associated with increased mortality. Patients prescribed antibiotics had longer duration of hospital admission. CONCLUSIONS: We observed no protective association between in-hospital antibiotic therapy and outcomes, suggesting overuse of antibiotics in respiratory infections with proven respiratory viruses. A restrictive antibiotic strategy may be warranted.

Preoperative factors predict prolonged length of stay, serious adverse complications, and readmission following operative intervention of proximal humerus fractures: a machine learning analysis of a national database.

Background: Proximal humerus fractures are a common injury, predominantly affecting older adults. This study aimed to develop risk-prediction models for prolonged length of hospital stay (LOS), serious adverse complications, and readmission within 30 days of surgically treated proximal humerus fractures using machine learning (ML) techniques. Methods: Adult patients (age >18) who underwent open reduction internal fixation (ORIF), hemiarthroplasty, or total shoulder arthroplasty for proximal humerus fracture between 2016 and 2021 were included. Preoperative demographic and clinical variables were collected for all patients and used to establish ML-based algorithms. The model with optimal performance was selected according to area under the curve (AUC) on the receiver operating curve (ROC) curve and overall accuracy, and the specific predictive features most important to model derivation were identified. Results: A total of 7473 patients were included (72.1% male, mean age 66.2 ± 13.7 years). Models produced via gradient boosting performed best for predicting prolonged LOS and complications. The model predicting prolonged LOS demonstrated good discrimination and performance, as indicated by (Mean: 0.700, SE: 0.017), recall (Mean: 0.551, SE: 0.017), accuracy (Mean: 0.717, SE: 0.010), F1-score (Mean: 0.616, SE: 0.014), AUC (Mean: 0.779, SE: 0.010), and Brier score (Mean: 0.283, SE: 0.010) Preoperative hematocrit, preoperative platelet count, and patient age were considered the strongest predictive features. The model predicting serious adverse complications exhibited comparable discrimination [precision (Mean: 0.226, SE: 0.024), recall (Mean: 0.697, SE: 0.048), accuracy (Mean: 0.811, SE: 0.010), F1-score (Mean: 0.341, SE: 0.031)] and superior performance relative to the LOS model [AUC (Mean: 0.806, SE: 0.024), Brier score (Mean: 0.189, SE: 0.010), noting preoperative hematocrit, operative time, and patient age to be most influential. However, the 30-day readmission model achieved the weakest relative performance, displaying low measures of precision (Mean: 0.070, SE: 0.012) and recall (Mean: 0.389, SE: 0.053), despite good accuracy (Mean: 0.791, SE: 0.009). Conclusion: Predictive models constructed using ML techniques demonstrated favorable discrimination and satisfactory-to-excellent performance in forecasting prolonged LOS and serious adverse complications occurring within 30 days of surgical intervention for proximal humerus fracture. Modifiable preoperative factors such as hematocrit and platelet count were identified as significant predictive features, suggesting that clinicians could address these factors during preoperative patient optimization to enhance outcomes. Overall, these findings highlight the potential for ML techniques to enhance preoperative management, facilitate shared decision-making, and enable more effective and personalized orthopedic care by exploring alternative approaches to risk stratification.

Sarcopenia adversely impacts clinical outcomes in patients undergoing pancreaticoduodenectomy: A systematic review and meta-analysis.

BACKGROUND: Sarcopenia is a syndrome marked by a gradual and widespread reduction in skeletal muscle mass and strength, as well as a decline in functional ability, which is associated with malnutrition, hormonal changes, chronic inflammation, disturbance of intestinal flora, and exercise quality. Pancreatoduodenectomy is a commonly employed clinical intervention for conditions such as pancreatic head cancer, ampulla of Vater cancer, and cholangiocarcinoma, among others, with a notably high rate of postoperative complications. Sarcopenia is frequent in patients undergoing pancreatoduodenectomy. However, data regarding the effects of sarcopenia in patients undergoing pancreaticoduodenectomy (PD) are both limited and inconsistent. AIM: To assess the influence of sarcopenia on outcomes in patients undergoing PD. METHODS: The PubMed, Cochrane Library, Web of Science, and Embase databases were screened for studies published from the time of database inception to June 2023 that described the effects of sarcopenia on the outcomes and complications of PD. Two researchers independently assessed the quality of the data extracted from the studies that met the inclusion criteria. Meta-analysis using RevMan 5.3.5 and Stata 14.0 software was conducted. Forest and funnel plots were used, respectively, to demonstrate the outcomes of the sarcopenia group vs the non-sarcopenia group after PD and to evaluate potential publication bias. RESULTS: Sixteen studies encompassing 2381 patients were included in the meta-analysis. The patients in the sarcopenia group (n = 833) had higher overall postoperative complication rates [odds ratio (OR) = 3.42, 95% confidence interval (CI): 1.95-5.99, P < 0.0001], higher Clavien-Dindo class ≥ III major complication rates (OR = 1.41, 95%CI: 1.04-1.90, P = 0.03), higher bacteremia rates (OR = 4.46, 95%CI: 1.42-13.98, P = 0.01), higher pneumonia rates (OR = 2.10, 95%CI: 1.34-3.27, P = 0.001), higher pancreatic fistula rates (OR = 1.42, 95%CI: 1.12-1.79, P = 0.003), longer hospital stays (OR = 2.86, 95%CI: 0.44-5.28, P = 0.02), higher mortality rates (OR = 3.17, 95%CI: 1.55-6.50, P = 0.002), and worse overall survival (hazard ratio = 2.81, 95%CI: 1.45-5.45, P = 0.002) than those in the non-sarcopenia group (n = 1548). However, no significant inter-group differences were observed regarding wound infections, urinary tract infections, biliary fistulas, or postoperative digestive bleeding. CONCLUSION: Sarcopenia is a common comorbidity in patients undergoing PD. Patients with preoperative sarcopenia have increased rates of complications and mortality, in addition to a poorer overall survival rate and longer hospital stays after PD.

Systemic therapy and radiotherapy related complications and subsequent hospitalisation rates: a systematic review.

BACKGROUND: Hospitalisation  resulting from complications of systemic therapy and radiotherapy places a substantial burden on the patient, society, and healthcare system. To formulate preventive strategies and enhance patient care, it is crucial to understand the connection between complications and the need for subsequent hospitalisation. This review aimed to assess the existing literature on complications related to systemic and radiotherapy treatments for cancer, and their impact on hospitalisation rates. METHODS: Data was obtained via electronic searches of the PubMed, Scopus, Embase and Google Scholar online databases to select relevant peer-reviewed papers for studies published between January 1, 2000, and August 30, 2023. We searched for a combination of keywords in electronic databases and used a standard form to extract data from each article. The initial specific interest was to categorise the articles based on the aspects explored, especially complications due to systemic and radiotherapy and their impact on hospitalisation. The second interest was to examine the methodological quality of studies to accommodate the inherent heterogeneity. The study protocol was registered with PROSPERO (CRD42023462532). FINDINGS: Of 3289 potential articles 25 were selected for inclusion with ~ 34 million patients. Among the selected articles 21 were cohort studies, three were randomised control trials (RCTs) and one study was cross-sectional design. Out of the 25 studies, 6 studies reported ≥ 10 complications, while 7 studies reported complications ranging from 6 to 10. Three studies reported on a single complication, 5 studies reported at least two complications but fewer than six, and 3 studies reported higher numbers of complications (≥ 15) compared with other selected studies. Among the reported complications, neutropenia, cardiac complications, vomiting, fever, and kidney/renal injury were the top-most. The severity of post-therapy complications varied depending on the type of therapy. Studies indicated that patients treated with combination therapy had a higher number of post-therapy complications across the selected studies. Twenty studies (80%) reported the overall rate of hospitalisation among patients. Seven studies revealed a hospitalisation rate of over 50% among cancer patients who had at least one complication. Furthermore, two studies reported a high hospitalisation rate (> 90%) attributed to therapy-repeated complications. CONCLUSION: The burden of post-therapy complications is emerging across treatment modalities. Combination therapy is particularly associated with a higher number of post-therapy complications. Ongoing research and treatment strategies are imperative for mitigating the complications of cancer therapies and treatment procedures. Concurrently, healthcare reforms and enhancement are essential to address the elevated hospitalisation rates resulting from treatment-related complications in cancer patients.

The impact of intraoperative hypotension on postoperative acute kidney injury, mortality and length of stay following off-pump coronary artery bypass grafting surgery: a single-center retrospective cohort study.

BACKGROUND: Off-pump coronary artery bypass grafting (OPCABG) presents distinct hemodynamic characteristics, yet the relationship between intraoperative hypotension and short-term adverse outcomes remains clear. Our study aims to investigate association between intraoperative hypotension and postoperative acute kidney injury (AKI), mortality and length of stay in OPCABG patients. METHODS: Retrospective data of 494 patients underwent OPCABG from January 2016 to July 2023 were collected. We analyzed the relationship between intraoperative various hypotension absolute values (MAP > 75, 65 < MAP ≤ 75, 55 < MAP ≤ 65, MAP ≤ 55 mmHg) and postoperative AKI, mortality and length of stay. Logistic regression assessed the impacts of exposure variable on AKI and postoperative mortality. Linear regression was used to analyze risk factors on the length of intensive care unit stay (ICU) and hospital stay. RESULTS: The incidence of AKI was 31.8%, with in-hospital and 30-day mortality at 2.8% and 3.5%, respectively. Maintaining a MAP greater than or equal 65 mmHg [odds ratio (OR) 0.408; p = 0.008] and 75 mmHg (OR 0.479; p = 0.024) was significantly associated with a decrease risk of AKI compared to MAP less than 55 mmHg for at least 10 min. Prolonged hospital stays were linked to low MAP, while in-hospital mortality and 30-day mortality were not linked to IOH but exhibited correlation with a history of myocardial infarction. AKI showed correlation with length of ICU stay. CONCLUSIONS: MAP > 65 mmHg emerges as a significant independent protective factor for AKI in OPCABG and IOH is related to length of hospital stay. Proactive intervention targeting intraoperative hypotension may provide a potential opportunity to reduce postoperative renal injury and hospital stay. TRIAL REGISTRATION: ChiCTR2400082518. Registered 31 March 2024. https://www.chictr.org.cn/bin/project/edit?pid=225349 .

Association of uric acid with length of stay and mortality in pediatric hospitalized population.

PURPOSE: Elevated uric acid (UA) levels have been associated with acute and chronic diseases, which could affect the prognosis of pediatric hospitalized patients. However, the association of UA levels with length of hospital stay (LOS) and mortality in hospitalized children and adolescents remains unknown. Therefore, the aim of this study was to evaluate the association of serum UA levels with in-hospital mortality and prolonged LOS in hospitalized children and adolescents. METHODS: A retrospective cohort study was conducted, involving 128 patients under 18 years of age, admitted to a tertiary-care hospital between January 2014 and December 2018. UA levels were assessed with an average of 3 days before the in-hospital outcome (discharge or death). Logistic regression was used to determine the association of UA with prolonged LOS (defined as over 30 days of hospitalization), while Cox regression multivariate analysis was employed to assess UA as a predictor of in-hospital mortality. RESULTS: UA levels showed an inverse association with prolonged LOS. Specifically, for every 1 mg/dL increase in UA level, the odds of experiencing prolonged LOS decreased by 31% (OR = 0.69; 95% CI: 0.50-0.95). Additionally, individuals with elevated UA levels had lower odds of prolonged LOS (OR = 0.23; 95% CI: 0.08-0.66). However, UA levels were not associated with in-hospital mortality (HR = 1.63; 95% CI: 0.94-2.82). CONCLUSION: Serum UA was inversely associated with LOS among children and adolescents, but no association was observed with in-hospital mortality.