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Background: Expedited discharge following esophagectomy is controversial due to concerns for higher readmissions and financial burden. The present study aimed to evaluate the association of expedited discharge with hospitalization costs and unplanned readmissions following esophagectomy for malignant lesions. Methods: Adults undergoing elective esophagectomy for cancer were identified in the 2014–2019 Nationwide Readmissions Database. Patients discharged by postoperative day 7 were considered Expedited and others as Routine. Patients who did not survive to discharge or had major perioperative complications were excluded. Multivariable regression models were constructed to assess association of expedited discharge with index hospitalization costs as well as 30- and 90-day non-elective readmissions. Results: Of 9,886 patients who met study criteria, 34.6% comprised the Expedited cohort. After adjustment, female sex (adjusted odds ratio [AOR] 0.71, p = 0.001) and increasing Elixhauser Comorbidity Index (AOR 0.88/point, p<0.001) were associated with lower odds of expedited discharge, while laparoscopic (AOR 1.63, p<0.001, Ref: open) and robotic (AOR 1.67, p = 0.003, Ref: open) approach were linked to greater likelihood. Patients at centers in the highest-tertile of minimally invasive esophagectomy volume had increased odds of expedited discharge (AOR 1.52, p = 0.025, Ref: lowest-tertile). On multivariable analysis, expedited discharge was independently associated with an $8,300 reduction in hospitalization costs. Notably, expedited discharge was associated with similar odds of 30-day (AOR 1.10, p = 0.40) and 90-day (AOR 0.90, p = 0.70) unplanned readmissions. Conclusion: Expedited discharge after esophagectomy was associated with decreased costs and unaltered readmissions. Prospective studies are necessary to robustly evaluate whether expedited discharge is appropriate for select patients undergoing esophagectomy. [ABSTRACT FROM AUTHOR]

Background: Although early discharge after colectomy has garnered significant interest, contemporary, large-scale analyses are lacking. Objective: The present study utilized a national cohort of patients undergoing colectomy to examine costs and readmissions following early discharge. Methods: All adults undergoing elective colectomy for primary colon cancer were identified in the 2016–2019 Nationwide Readmissions Database. Patients with perioperative complications or prolonged length of stay (>8 days) were excluded to enhance cohort homogeneity. Patients discharged by postoperative day 3 were classified as Early, and others as Routine. Entropy balancing and multivariable regression were used to assess the risk-adjusted association of early discharge with costs and non-elective readmissions. Importantly, we compared 90-day stroke rates to examine whether our results were influenced by preferential early discharge of healthier patients. Results: Of an estimated 153,996 patients, 45.5% comprised the Early cohort. Compared to Routine, the Early cohort was younger and more commonly male. Patients in the Early group more commonly underwent left-sided colectomy and laparoscopic operations. Following multivariable adjustment, expedited discharge was associated with a $4,500 reduction in costs as well as lower 30-day (adjusted odds ratio [AOR] 0.74, p<0.001) and 90-day non-elective readmissions (AOR 0.74, p<0.001). However, among those readmitted within 90 days, Early patients were more commonly readmitted for gastrointestinal conditions (45.8 vs 36.4%, p<0.001). Importantly, both cohorts had comparable 90-day stroke rates (2.2 vs 2.1%, p = 0.80). Conclusions: The present work represents the largest analysis of early discharge following colectomy for cancer and supports its relative safety and cost-effectiveness. [ABSTRACT FROM AUTHOR]

Background: While safety-net hospitals (SNH) play a critical role in the care of underserved communities, they have been associated with inferior postoperative outcomes. This study evaluated the association of hospital safety-net status with clinical and financial outcomes following esophagectomy. Methods: All adults (≥18 years) undergoing elective esophagectomy for benign and malignant gastroesophageal disease were identified in the 2010–2019 Nationwide Readmissions Database. Centers in the highest quartile for the proportion of uninsured/Medicaid patients were classified as SNH (others: non-SNH). Regression models were developed to evaluate adjusted associations between SNH status and outcomes, including in-hospital mortality, perioperative complications, and resource use. Royston-Parmar flexible parametric models were used to assess time-varying hazard of non-elective readmission over 90 days. Results: Of an estimated 51,649 esophagectomy hospitalizations, 9,024 (17.4%) were performed at SNH. While SNH patients less frequently suffered from gastroesophageal malignancies (73.2 vs 79.6%, p<0.001) compared to non-SNH, the distribution of age and comorbidities were similar. SNH was independently associated with mortality (AOR 1.24, 95% CI 1.03–1.50), intraoperative complications (AOR 1.45, 95% CI 1.20–1.74) and need for blood transfusions (AOR 1.61, 95% CI 1.35–1.93). Management at SNH was also associated with incremental increases in LOS (+1.37, 95% CI 0.64–2.10), costs (+10,400, 95% CI 6,900–14,000), and odds of 90-day non-elective readmission (AOR 1.11, 95% CI 1.00–1.23). Conclusions: Care at safety-net hospitals was associated with higher odds of in-hospital mortality, perioperative complications, and non-elective rehospitalization following elective esophagectomy. Efforts to provide sufficient resources at SNH may serve to reduce complications and overall costs for this procedure. [ABSTRACT FROM AUTHOR]

Background: Despite the known advantages of minimally invasive surgery (MIS) for diverticular disease, the impact of conversions to open (CtO) colectomy remains understudied. The present study used a nationally representative database to characterize risk factors and outcomes associated with CtO in patients with diverticular disease. Methods: All elective adult hospitalizations entailing colectomy for diverticulitis were identified in the 2017–2019 Nationwide Readmissions Database. Annual institutional caseloads of MIS and open colectomy were independently tabulated. Restricted cubic splines were utilized to non-linearly estimate the risk-adjusted association between hospital volumes and CtO. Additional regression models were developed to evaluate the association of CtO with outcomes of interest. Results: Of an estimated 110,281 patients with diverticulitis who met study criteria, 39.3% underwent planned open colectomy, 53.3% completed MIS, and 7.4% had a CtO. Following adjustment, an inverse relationship between hospital MIS volume and risk of CtO was observed. In contrast, increasing hospital open volume was positively associated with greater risk of CtO. On multivariable analysis, CtO was associated with lower odds of mortality (AOR 0.3, p = 0.001) when compared to open approach, and similar risk of mortality when compared to completed MIS (AOR 0.7, p = 0.436). Conclusion: In the present study, institutional MIS volume exhibited inverse correlation with adjusted rates of CtO, independent of open colectomy volume. CtO was associated with decreased rates of mortality compared to planned open approach but equivalence risk relative to completed MIS. Our findings highlight the importance of MIS experience and suggest that MIS may be safely pursued as the initial surgical approach among diverticulitis patients. [ABSTRACT FROM AUTHOR]

Background: With limited national studies available, we characterized the association of frailty with outcomes of surgical resection for colonic volvulus. Methods: Adults with sigmoid or cecal volvulus undergoing non-elective colectomy were identified in the 2010–2019 Nationwide Readmissions Database. Frailty was identified using the Johns Hopkins indicator which utilizes administrative codes. Multivariable models were developed to examine the association of frailty with in-hospital mortality, perioperative complications, stoma use, length of stay, hospitalization costs, non-home discharge, and 30-day non-elective readmissions. Results: An estimated 66,767 patients underwent resection for colonic volvulus (Sigmoid: 39.6%; Cecal: 60.4%). Using the Johns Hopkins indicator, 30.3% of patients with sigmoid volvulus and 15.9% of those with cecal volvulus were considered frail. After adjustment, frail patients had higher risk of mortality compared to non-frail in both sigmoid (10.6% [95% CI 9.47–11.7] vs 5.7% [95% CI 5.2–6.2]) and cecal (10.4% [95% CI 9.2–11.6] vs 3.5% [95% CI 3.2–3.8]) volvulus cohorts. Frailty was associated with greater odds of acute venous thromboembolism occurrences (Sigmoid: AOR 1.50 [95% CI 1.18–1.94]; Cecal: AOR 2.0 [95% CI 1.50–2.72]), colostomy formation (Sigmoid: AOR 1.73 [95% CI 1.57–1.91]; Cecal: AOR 1.48 [95% CI 1.10–2.00]), non-home discharge (Sigmoid: AOR 1.97 [95% CI 1.77–2.20]; Cecal: AOR 2.56 [95% CI 2.27–2.89]), and 30-day readmission (Sigmoid: AOR 1.15 [95% CI 1.01–1.30]; Cecal: AOR 1.26 [95% CI 1.10–1.45]). Frailty was associated with incremental increase in length of stay (Sigmoid: +3.4 days [95% CI 2.8–3.9]; Cecal: +3.8 days [95% CI 3.3–4.4]) and costs (Sigmoid: +$7.5k [95% CI 5.9–9.1]; Cecal: +$12.1k [95% CI 10.1–14.1]). Conclusion: Frailty, measured using a simplified administrative tool, is associated with significantly worse clinical and financial outcomes following non-elective resections for colonic volvulus. Standard assessment of frailty may aid risk-stratification, better inform shared-decision making, and guide healthcare teams in targeted resource allocation in this vulnerable patient population. [ABSTRACT FROM AUTHOR]

Background: Precise models are necessary to estimate mortality risk following traumatic injury to inform clinical decision making or quantify hospital performance. The Trauma and Injury Severity Score (TRISS) has been the historical gold standard in survival prediction but its limitations are well-characterized. The present study used International Classification of Diseases 10thRevision (ICD-10) injury codes with machine learning approaches to develop models whose performance was compared to that of TRISS. Methods: The 2015–2017 National Trauma Data Bank was used to identify patients following trauma-related admission. Injury codes from ICD-10 were grouped by clinical relevance into 1,495 variables. The TRISS score, which comprises the Injury Severity Score, age, mechanism (blunt vs penetrating) as well as highest 24-hour values for systolic blood pressure (SBP), respiratory rate (RR) and Glasgow Coma Scale (GCS) was calculated for each patient. A base eXtreme gradient boosting model (XGBoost), a machine learning technique, was developed using injury variables as well as age, SBP, RR, mechanism and GCS. Prediction of in-hospital survival and other in-hospital complications were compared between both models using receiver operating characteristic (ROC) and reliability plots. A complete XGBoost model, containing injury variables, vitals, demographic information and comorbidities, was additionally developed. Results: Of 1,380,740 patients, 1,338,417 (96.9%) survived to discharge. Compared to survivors, those who died were older and had a greater prevalence of penetrating injuries (18.0% vs 9.44%). The base XGBoost model demonstrated a greater receiver-operating characteristic (ROC) than TRISS (0.950 vs 0.907) which persisted across sub-populations and secondary endpoints. Furthermore, it exhibited high calibration across all risk levels (R2 = 0.998 vs 0.816). The complete XGBoost model had an exceptional ROC of 0.960. Conclusions: We report improved performance of machine learning models over TRISS. Our model may improve stratification of injury severity in clinical and quality improvement settings. [ABSTRACT FROM AUTHOR]

Background: Emergency general surgery (EGS) operations are associated with substantial risk of morbidity including postoperative respiratory failure (PRF). While existing risk models are not widely utilized and rely on traditional statistical methods, application of machine learning (ML) in prediction of PRF following EGS remains unexplored. Objective: The present study aimed to develop ML-based prediction models for respiratory failure following EGS and compare their performance to traditional regression models using a nationally-representative cohort. Methods: Non-elective hospitalizations for EGS (appendectomy, cholecystectomy, repair of perforated ulcer, large or small bowel resection, lysis of adhesions) were identified in the 2016–18 Nationwide Readmissions Database. Factors associated with PRF were identified using ML techniques and logistic regression. The performance of XGBoost and logistic regression was evaluated using the receiver operating characteristic curve and coefficient of determination (R2). The impact of PRF on mortality, length of stay (LOS) and hospitalization costs was secondarily assessed using generalized linear models. Results: Of 1,003,703 hospitalizations, 8.8% developed PRF. The XGBoost model exhibited slightly superior discrimination compared to logistic regression (0.900, 95% CI 0.899–0.901 vs 0.894, 95% CI 0.862–0.896). Compared to logistic regression, XGBoost demonstrated excellent calibration across all risk levels (R2: 0.998 vs 0.962). Congestive heart failure, neurologic disorders, and coagulopathy were significantly associated with increased risk of PRF. After risk-adjustment, PRF was associated with 10-fold greater odds (95% confidence interval (CI) 9.8–11.1) of mortality and incremental increases in LOS by 3.1 days (95% CI 3.0–3.2) and $11,900 (95% CI 11,600–12,300) in costs. Conclusions: Logistic regression and XGBoost perform similarly in overall classification of PRF risk. However, due to superior calibration at extremes of risk, ML-based models may prove more useful in the clinical setting, where probabilities rather than classifications are desired. [ABSTRACT FROM AUTHOR]

Ciguatera fish poisoning (CFP) is an illness contracted through the ingestion of seafood containing ciguatoxins. It is prevalent in tropical regions worldwide, including in Australia. Ciguatoxins are produced by some species of Gambierdiscus. Therefore, screening of Gambierdiscus species identification through quantitative PCR (qPCR), along with the determination of species toxicity, can be useful in monitoring potential ciguatera risk in these regions. In Australia, CFP is prevalent in tropical Queensland and increasingly in sub-tropical regions of Australia, but has a report rate of approximately 10%. Yet the identity, distribution and abundance of ciguatoxin producing Gambierdiscus spp. is largely unknown. In this study, we developed a rapid qPCR assay to quantify the presence and abundance of Gambierdiscus lapillus, a likely ciguatoxic species first described from Australia. We assessed the specificity and efficiency of the qPCR assay. The assay was tested on 25 environmental samples from the Heron Island reef in the southern Great Barrier Reef, a ciguatera endemic region, to determine the presence and patchiness of this species across samples from Chnoospora sp., Padina sp. and Sargassum sp. macroalgal hosts. [ABSTRACT FROM AUTHOR]

A new species belonging to the toxin producing diatom genus Pseudo-nitzschia, P. hallegraeffii sp. nov., is delineated and described from the East Australian Current (EAC). Clonal cultures were established by single cell isolation from phytoplankton net hauls collected as part of a research expedition in the EAC region in 2016 on the RV Investigator. Cultures were assessed for their morphological and genetic characteristics, their sexual compatibility with other Pseudo-nitzschia species, and their ability to produce domoic acid. Light and transmission electron microscopy revealed cells which differed from their closest relatives by their cell width, rows of poroids, girdle band structure and density of band straie. Phylogenetic analyses based on sequencing of nuclear-encoded ribosomal deoxyribonucleic acid (rDNA) regions showed this novel genotype clustered within the P. delicatissima complex, but formed a discrete clade from its closest relatives P. dolorosa, P. simulans, P. micropora and P. delicatissima. Complementary base changes (CBCs) were observed in the secondary structure of the 3’ nuclear ribosomal transcribed spacer sequence region (ITS2) between P. hallegraeffii sp. nov. and its closest related taxa, P. simulans and P. dolorosa. Under laboratory conditions, and in the absence of any zooplankton cues, strains of P. hallegraeffii sp. nov. did not produce domoic acid (DA) and were not sexually compatible with any other Pseudo-nitzschia clones tested. A total of 18 Pseudo-nitzschia species, including three confirmed toxigenic species (P. cuspidata, P. multistriata and P. australis) have now been unequivocally confirmed from eastern Australia. [ABSTRACT FROM AUTHOR]