High-Quality Hospital Status on Health Care Costs for Pediatric Congenital Heart Disease Care for U.S. Military Beneficiaries.

INTRODUCTION: Congenital heart disease (CHD) is the most common and resource demanding birth defect managed in the United States, with approximately 40,000 children undergoing CHD surgery year. Researchers have compared high-volume to low-volume hospitals and found significant hospital-level variation in major complications, health resource utilization, and health care costs after CHD surgery. MATERIALS AND METHODS: Using nationwide representative claim data from the United States Military Health System from 2016 to 2020, TRICARE beneficiaries diagnosed with CHD were tabulated based on ICD-10 codes (International Classification of Diseases, 10th revision). We examined the relationships between total costs and total hospitalizations costs post 1-year CHD diagnosis and presence or absence of High-Quality Hospital (HQH) designation. We applied both the naive generalized linear model (GLM) to control for the observed patient and hospital characteristics and the 2-stage least squares (2SLS) model to account for the unobserved confounding factors. This study was approved by University of Maryland, College Park Institutional Review Board (IRB) (Approval Number: 1576246-2). RESULTS: A relationship between HQH designation and total CHD related costs was not seen across 2SLS model specifications (marginal effect; -$41,579; 95% CI, -$83,429 to $271). For patients diagnosed with a moderate-complex or single ventricle CHD, the association of HQH status was a statistically significant reduction in total costs (marginal effect; -$84,395; 95% CI, -$140,560 to -$28,229) and hospitalization costs (marginal effect; -$73,958; 95% CI, -$121,878 to -$26,039). CONCLUSIONS: It is very imperative for clinicians and patient support advocates to urge policymakers to deliberate the establishment of a quality designation authority for CHD management. These efforts will not only help to identify and standardize quality care metrics but to improve long-term health, effectiveness, and equity in the management of CHD. Furthermore, these efforts can be used to navigate patients to proven HQH, thereby improving care and reducing associated treatment costs for CHD patients.

Discharge against medical advice in trauma patients: Trends, risk factors, and implications for health care management strategies.

OBJECTIVE: Given the nonelective nature of most trauma admissions, patients who experience trauma are at a particular risk of discharge against medical advice. Despite the risk of unplanned readmission and financial burden on the health care system, discharge against medical advice among hospitalized patients continues to rise. The present study aimed to assess evolving trends and outcomes associated in patients with discharge against medical advice among patients hospitalized for traumatic injury. METHODS: The 2016-2020 Nationwide Readmissions Database was queried to identify all hospitalizations for traumatic injuries. The patient cohort was stratified into those who had discharge against medical advice and those who did not. Temporal trends of discharge against medical advice and associated costs over time were evaluated using nonparametric tests. Multivariable regression models were developed to assess factors associated with discharge against medical advice. Associations of discharge against medical advice with length of stay, hospitalization costs, and unplanned 30-day readmission were subsequently evaluated. RESULTS: Of an estimated 4,969,717 patients, 65,354 (1.3%) had discharge against medical advice after hospitalization for traumatic injury. Over the study period, the incidence of discharge against medical advice increased (nptrend <0.001). After risk adjustment, older age (adjusted odds ratio, 0.98/per year; 95% confidence interval, 0.97-0.98), female sex (adjusted odds ratio, 0.65; 95% confidence interval, 0.64-0.67), and management at high-volume trauma center (adjusted odds ratio, 0.71; 95% confidence interval, 0.69-0.74) were associated with lower odds of discharge against medical advice. Compared with others, discharge against medical advice was associated with decrements in length of stay by 1.3 days (95% confidence interval, 1.1-1.5 days) and index hospitalization costs by $2,200 (5% confidence interval, $1,600-2,900), while having a greater risk of unplanned 30-day readmission (adjusted odds ratio, 2.21; 95% confidence interval, 2.06-2.36). CONCLUSION: The incidence of discharge against medical advice and its associated cost burden have increased in recent years. Community-level interventions and institutional efforts to mitigate discharge against medical advice may improve the quality of care and resource allocation for patients with traumatic injuries.

Center-level variation in hospitalization costs of pancreaticoduodenectomy for pancreatic cancer.

BACKGROUND: Pancreaticoduodenectomy is a highly morbid operation with significant resource utilization. Using a national cohort, we examined the interhospital variation in pancreaticoduodenectomy hospitalization cost in the United States. METHODS: Adults undergoing elective pancreaticoduodenectomy in the setting of pancreatic cancer were tabulated from the 2016-2020 Nationwide Readmissions Database. A 2-level mixed-effects model was developed to evaluate the interhospital variation in pancreaticoduodenectomy hospitalization costs. Institutions within the top decile of risk-adjusted expenditures were defined as high-cost hospitals. Multivariable regression models were fitted to examine the association between high-cost hospital status and outcomes of interest. To account for the effects of complications on expenditures, a subgroup analysis comprising of patients with no adverse events was conducted. RESULTS: The study included an estimated 24,779 patients with a median hospitalization cost of $38,800. After mixed-effects modeling, 40.9% of the cost variation was attributable to hospital, rather than patient, factors. Multivariable regression models revealed an association between high-cost hospital status and greater odds of complications and longer length of stay. Among patients without an adverse event, interhospital cost variation remained significant at 61.0%, and treatment at high-cost hospitals was similarly linked to longer length of stay. CONCLUSION: Our study identified significant interhospital variation in pancreaticoduodenectomy hospitalization costs in the United States. Although high-cost hospital status was associated with increased odds of complications, variation remained significant even among patients without an adverse event. These results suggest the important role of hospital practices as contributors to expenditures. Further efforts to identify drivers of costs and standardize pancreatic surgical care are warranted.

Failure to rescue following emergency general surgery: A national analysis.

Background: Failure to rescue (FTR) is increasingly recognized as a quality metric but remains understudied in emergency general surgery (EGS). We sought to identify patient and operative factors associated with FTR to better inform standardized metrics to mitigate this potentially preventable event. Methods: All adult (≥18 years) non-elective hospitalizations for large bowel resection, small bowel resection, repair of perforated ulcer, laparotomy and lysis of adhesions were identified in the 2016-2020 National Readmissions Database. Patients undergoing trauma-related operations or procedures ≤2 days of admission were excluded. FTR was defined as in-hospital death following acute kidney injury requiring dialysis (AKI), myocardial infarction, pneumonia, respiratory failure, sepsis, stroke, or thromboembolism. Multilevel mixed-effect models were developed to assess factors linked with FTR. Results: Among 826,548 EGS operations satisfying inclusion criteria, 298,062 (36.1 %) developed at least one MAE. Of those experiencing MAE, 43,477 (14.6 %) ultimately did not survive to discharge (FTR). Following adjustment for fixed hospital level effects, only 3.5 % of the variance in FTR was attributable to center-level differences. Relative to private insurance and the highest income quartile, Medicaid insurance (AOR 1.33; 95%CI, 1.23-1.43) and the lowest income quartile (AOR 1.22; 95%CI, 1.17-1.29) were linked with increased odds of FTR.A subset analysis stratified complication-specific rates of FTR by insurance status. Relative to private insurance, Medicaid coverage and uninsured status were linked with greater odds of FTR following perioperative sepsis, pneumonia, and AKI. Conclusion: Our findings underscore the need for increased screening and vigilance following perioperative complications to mitigate disparities in patient outcomes following high-risk EGS.

Nonlinear and abnormal relationship between turbidity and suspended solids concentration in mountainous rivers: A case study of the Lai Chi Wo river in Hong Kong, China.

Suspended solids concentration (SSC) in a river is closely relevant to river water turbidity. Investigation of their relationship in this study is accompanied by observed turbidity and SSC values, which were obtained from the testing results of water samples and monitored conditions in streamflow. The water samples were collected from two observation stations with a broad range of sediment concentrations in the Lai Chi Wo catchment in Hong Kong, China. We classified the target rainfall events into single-peak event type and dual-peak event type for a distinguished discussion of the relationship between SSC and turbidity in this study. At a finer classification, each event is separated into defined processes for the analysis, where two main processes refer to the periods that SSC rises from a normal state to a peak state first and the followed periods that SSC recesses to ordinary status gradually. It is advised by the analysis results that the estimation of SSC through turbidity values should be based on the same rainfall types for the upstream station. However, the results show that the classification of rainfall types does not need to take downstream areas into consideration. Furthermore, current research implies that the individual established connections between SSC and turbidity value at different stages (particularly referring to the rising period and recessing period) could be applied to estimate SSC at the same station via continuous turbidity values for both this and other ungauged stations with similar topographical features in the future. Meanwhile, this research approach provides new insight exploring various behaviors of sediments at different stages during an integral rainfall event. A comparison of distinguished performances of sediment during corresponding stages in a rainfall event makes contributions to diverse relationship between SSC and turbidity in the mountainous river.

Clinicopathological and molecular features of genome-stable colorectal cancers.

Colorectal cancers (CRCs) are traditionally divided into those with either chromosomal instability (CIN) or microsatellite instability (MSI). By utilizing TCGA data, the Laird team found a subset of CRCs, namely, genome-stable CRCs (GS CRCs), which lack both CIN and MSI. Although the molecular features of GS CRCs have been described in detail, the clinicopathological features are not well defined. A total of 437 CRCs were analyzed for copy number variation (CNV) statuses in eight genes (ARID1A, EGFR, FGFR1, KDM5B, MYBL2, MYC, SALL4, and SETDB1) using droplet-digital PCR. CRCs that showed CNV in ≤ one gene and no MSI were defined as GS-like CRCs. Clinicopathological and molecular features of GS-like CRCs were compared with those of CIN-like CRCs. GS-like CRCs comprised 4.6% of CRCs and showed a predilection toward the proximal colon, lower nuclear optical density, KRAS mutation, PIK3CA mutation, and aberrant expression of KRT7. Survival analysis showed no significant difference between the three subgroups. Through our study, the GS-like subtype was found to comprise a minor proportion of CRCs and have proclivity toward a proximal bowel location, hypochromatic tumor nuclei, aberrant KRT7 expression, and a high frequency of KRAS and PIK3CA mutations.

A Wireless, Multicolor Fluorescence Image Sensor Implant for Real-Time Monitoring in Cancer Therapy.

Real-time monitoring of dynamic biological processes in the body is critical to understanding disease progression and treatment response. This data, for instance, can help address the lower than 50% response rates to cancer immunotherapy. However, current clinical imaging modalities lack the molecular contrast, resolution, and chronic usability for rapid and accurate response assessments. Here, we present a fully wireless image sensor featuring a 2.5×5 mm2 CMOS integrated circuit for multicolor fluorescence imaging deep in tissue. The sensor operates wirelessly via ultrasound (US) at 5 cm depth in oil, harvesting energy with 221 mW/cm2 incident US power density (31% of FDA limits) and backscattering data at 13 kbps with a bit error rate <10-6. In-situ fluorescence excitation is provided by micro-laser diodes controlled with a programmable on-chip driver. An optical frontend combining a multi-bandpass interference filter and a fiber optic plate provides >6 OD excitation blocking and enables three-color imaging for detecting multiple cell types. A 36×40-pixel array captures images with <125 µm resolution. We demonstrate wireless, dual-color fluorescence imaging of both effector and suppressor immune cells in ex vivo mouse tumor samples with and without immunotherapy. These results show promise for providing rapid insight into therapeutic response and resistance, guiding personalized medicine.

Hospital-level variation in costs of elective nonruptured abdominal aortic aneurysm repair.

BACKGROUND: With the aging population in the United States, the incidence of abdominal aortic aneurysms is shifting to older ages. Given changing demographic characteristics and increasing health care expenditures, the present study evaluated the degree of center-level variation in the cost of elective abdominal aortic aneurysm repair. METHODS: We identified all adult (≥18 years) hospitalizations for elective repair of nonruptured abdominal aortic aneurysms in the 2017 to 2020 Nationwide Readmissions Database. Hierarchical mixed-effects models were used to rank hospitals based on risk-adjusted costs. The interclass coefficient was used to calculate the amount of variation attributable to hospital-level characteristics. High-cost hospitals were classified as centers in the top decile of costs. The association of high-cost hospitals status with outcomes of interest was examined. RESULTS: An estimated 62,626 patients underwent abdominal aortic aneurysm repair, and 5,011 (8.0%) were managed at high-cost hospitals. Compared with non-high-cost hospitals, high-cost hospitals were more commonly large (52.6% vs 48.3%) metropolitan (78.3% vs 66.9%) teaching centers (all P < .001). The interclass coefficient found that 28% of the observed variation in cost is attributable to hospital factors. After adjustment, high-cost hospitals were associated with increased odds of gastrointestinal (adjusted odds ratio = 1.42; 95% CI, 1.05-1.90) and infectious (adjusted odds ratio = 1.35; 95% CI, 1.14-1.59) complications. Finally, the Elixhauser index (ß = +$2,700/unit; 95% CI, $2,500-$3,000) and open repair (ß = +$4,100; 95% CI, $3,100-$5,200) were associated with increased costs. CONCLUSION: We observed significant variation in cost attributable to center-level differences. Our findings have implications for reimbursement paradigms and the establishment of quality and cost benchmarks in the elective repair of abdominal aortic aneurysm.

A machine learning-based approach for predicting renal function recovery in general ward patients with acute kidney injury.

BACKGROUND: Acute kidney injury (AKI) is a significant challenge in healthcare. While there are considerable researches dedicated to AKI patients, a crucial factor in their renal function recovery, is often overlooked. Thus, our study aims to address this issue through the development of a machine learning model to predict restoration of kidney function in patients with AKI. METHODS: Our study encompassed data from 350,345 cases, derived from three hospitals. AKI was classified in accordance with the Kidney Disease: Improving Global Outcomes. Criteria for recovery were established as either a 33% decrease in serum creatinine levels at AKI onset, which was initially employed for the diagnosis of AKI. We employed various machine learning models, selecting 43 pertinent features for analysis. RESULTS: Our analysis contained 7,041 and 2,929 patients' data from internal cohort and external cohort respectively. The Categorical Boosting Model demonstrated significant predictive accuracy, as evidenced by an internal area under the receiver operating characteristic (AUROC) of 0.7860, and an external AUROC score of 0.7316, thereby confirming its robustness in predictive performance. SHapley Additive exPlanations (SHAP) values were employed to explain key factors impacting recovery of renal function in AKI patients. CONCLUSION: This study presented a machine learning approach for predicting renal function recovery in patients with AKI. The model performance was assessed across distinct hospital settings, which revealed its efficacy. Although the model exhibited favorable outcomes, the necessity for further enhancements and the incorporation of more diverse datasets is imperative for its application in real- world.

Higher Genetic Risk for Type 2 Diabetes Is Associated With a Faster Decline of ß-Cell Function in an East Asian Population.

OBJECTIVE: While most genetic variants of type 2 diabetes (T2D) are suggested to be associated with ß-cell dysfunction cross sectionally, their association with the longitudinal change of ß-cell function remains largely unknown. RESEARCH DESIGN AND METHODS: We analyzed data from 6,311 participants without T2D at baseline (mean [SD] age 51.6 [8.7] years) from a community-based prospective cohort in Korea. Participants underwent biennial 2-h 75-g oral glucose tolerance tests (OGTTs) during 14 years of follow-up, and the OGTT-derived disposition index (DI) was used as a marker for ß-cell function. Genetic risk was quantified using the genome-wide polygenic risk score (PRS) and was stratified into low (1st quintile), intermediate (2nd-4th quintiles), and high (5th quintile) genetic risk. Lifestyle was assessed according to Life's Essential 8. RESULTS: During a mean follow-up of 10.9 years, 374 (29.6%), 851 (22.5%), and 188 (14.9%) participants developed T2D in the high, intermediate, and low genetic risk groups, respectively. Compared with the low genetic risk group, participants in the high genetic risk group had a 25% lower DI at baseline. Furthermore, in longitudinal analysis, we observed a 1.83-fold faster decline in log2-transformed DI per year (-0.034 vs. -0.019, P = 2.1 × 10-3; per 1-SD increase in T2D PRS, P = 1.2 × 10-4). Healthy lifestyle attenuated the rate of decline in DI across all genetic risk groups. CONCLUSIONS: Individuals with a higher genetic risk for T2D exhibited not only a lower OGTT-derived ß-cell function at baseline but also a notably more rapid decline during follow-up. This information could be used to enable a focused precision prevention with lifestyle intervention.

Association of severe obesity with risk of conversion to open in laparoscopic cholecystectomy for acute cholecystitis.

Background: Obesity is a known risk factor for cholecystitis and is associated with technical complications during laparoscopic procedures. The present study seeks to assess the association between obesity class and conversion to open (CTO) during laparoscopic cholecystectomy (LC). Methods: Adult acute cholecystitis patients with obesity undergoing non-elective LC were identified in the 2017-2020 Nationwide Readmissions Database. Patients were stratified by obesity class; class 1 (Body Mass Index [BMI] = 30.0-34.9), class 2 (BMI = 35.0-39.9), and class 3 (BMI ≥ 40.0). Multivariable regression models were developed to assess factors associated with CTO and its association with perioperative complications and resource utilization. Results: Of 89,476 patients undergoing LC, 40.6 % had BMI ≥ 40.0. Before adjustment, class 3 obesity was associated with increased rates of CTO compared to class 1-2 (4.6 vs 3.8 %; p < 0.001). Following adjustment, class 3 remained associated with an increased likelihood of CTO (Adjusted Odds Ratio [AOR] 1.45, 95 % Confidence Interval [CI] 1.31-1.61; ref.: class 1-2). Patients undergoing CTO had increased risk of blood transfusion (AOR 3.27, 95 % CI 2.54-4.22) and respiratory complications (AOR 1.36, 95 % CI 1.01-1.85). Finally, CTO was associated with incremental increases in hospitalization costs (ß + $719, 95 % CI 538-899) and length of stay (LOS; ß +2.20 days, 95 % CI 2.05-2.34). Conclusions: Class 3 obesity is a significant risk factor for CTO. Moreover, CTO is associated with increased hospitalization costs and LOS. As the prevalence of obesity grows, improved understanding of operative risk by approach is required to optimize clinical outcomes. Our findings are relevant to shared decision-making and informed consent.

National trends and outcomes of robotic emergency general surgery in the United States.

BACKGROUND: Robot-assisted surgery has seen exponential adoption over the last decade. Although the safety and efficacy of robotic surgery in the elective setting have been demonstrated, data regarding robotic emergency general surgery remains sparse. METHODS: All adults undergoing non-elective appendectomy, cholecystectomy, small or large bowel resection, perforated ulcer repair, or lysis of adhesions were identified in the 2008 to 2020 National Inpatient Sample. Temporal trends were analyzed using a rank-based, non-parametric test developed by Cuzick (nptrend). Using laparoscopy as a reference, multivariable regressions were used to evaluate the association between robotic techniques and in-hospital mortality, major complications, and resource use for each emergency general surgery operation. RESULTS: Of an estimated 4,040,555 patients undergoing emergency general surgery, 65,853 (1.6%) were performed using robotic techniques. The robotic proportion of minimally invasive emergency general surgery increased significantly overall, with the largest growth seen in robot-assisted large bowel resections and perforated ulcer repairs. After adjustment for various patient and hospital-level factors, robot-assisted large bowel resection (adjusted odds ratio 0.73, 95% confidence interval 0.58-0.91) and cholecystectomy (adjusted odds ratio 0.66, 95% confidence interval 0.55-0.81) were associated with significantly reduced odds of perioperative blood transfusion compared to traditional laparoscopy. Although robotic techniques were associated with modest reductions in postoperative length of stay, costs were uniformly higher by increments of up to $4,900. CONCLUSION: Robotic surgery appears to be a safe and effective adjunct to laparoscopy in minimally invasive emergency general surgery, although comparable cost-effectiveness has yet to be realized. Increasing use of robotic techniques in emergency general surgery may be attributable in part to reduced complications, including blood loss, in certain operative contexts.

Improved Diagnostic Accuracy of Thyroid Fine-Needle Aspiration Cytology with Artificial Intelligence Technology.

Background: Artificial intelligence (AI) is increasingly being applied in pathology and cytology, showing promising results. We collected a large dataset of whole slide images (WSIs) of thyroid fine-needle aspiration cytology (FNA), incorporating z-stacking, from institutions across the nation to develop an AI model. Methods: We conducted a multicenter retrospective diagnostic accuracy study using thyroid FNA dataset from the Open AI Dataset Project that consists of digitalized images samples collected from 3 university hospitals and 215 Korean institutions through extensive quality check during the case selection, scanning, labeling, and reviewing process. Multiple z-layer images were captured using three different scanners and image patches were extracted from WSIs and resized after focus fusion and color normalization. We pretested six AI models, determining Inception ResNet v2 as the best model using a subset of dataset, and subsequently tested the final model with total datasets. Additionally, we compared the performance of AI and cytopathologists using randomly selected 1031 image patches and reevaluated the cytopathologists' performance after reference to AI results. Results: A total of 10,332 image patches from 306 thyroid FNAs, comprising 78 malignant (papillary thyroid carcinoma) and 228 benign from 86 institutions were used for the AI training. Inception ResNet v2 achieved highest accuracy of 99.7%, 97.7%, and 94.9% for training, validation, and test dataset, respectively (sensitivity 99.9%, 99.6%, and 100% and specificity 99.6%, 96.4%, and 90.4% for training, validation, and test dataset, respectively). In the comparison between AI and human, AI model showed higher accuracy and specificity than the average expert cytopathologists beyond the two-standard deviation (accuracy 99.71% [95% confidence interval (CI), 99.38-100.00%] vs. 88.91% [95% CI, 86.99-90.83%], sensitivity 99.81% [95% CI, 99.54-100.00%] vs. 87.26% [95% CI, 85.22-89.30%], and specificity 99.61% [95% CI, 99.23-99.99%] vs. 90.58% [95% CI, 88.80-92.36%]). Moreover, after referring to the AI results, the performance of all the experts (accuracy 96%, 95%, and 96%, respectively) and the diagnostic agreement (from 0.64 to 0.84) increased. Conclusions: These results suggest that the application of AI technology to thyroid FNA cytology may improve the diagnostic accuracy as well as intra- and inter-observer variability among pathologists. Further confirmatory research is needed.

A National Analysis of Alcohol Withdrawal Syndrome in Patients with Operative Trauma.

Background: Alcohol withdrawal syndrome (AWS) presents with a complex spectrum of clinical manifestations that complicate postoperative management. In trauma setting, subjective screening for AWS remains challenging due to the criticality of injury in these patients. We thus identified several patient characteristics and perioperative outcomes associated AWS development. Methods: The 2016-2020 National Inpatient Sample was queried to identify all non-elective adult (≥18 years) hospitalizations for blunt or penetrating trauma undergoing operative management with a diagnosis of AWS. Patients with traumatic brain injury or with a hospital duration of stay <2 days were excluded. Outcomes of interest included in-hospital mortality, perioperative complications, hospitalization costs, length of stay (LOS) and non-home discharge. Results: Of an estimated 2,965,079 operative trauma hospitalizations included for analysis, 36,415 (1.23 %) developed AWS following admission. The AWS cohort demonstrated increased odds of mortality (Adjusted Odds Ratio [AOR] 1.46, 95 % Confidence Interval [95 % CI] 1.23-1.73), along with infectious (AOR 1.73, 95 % CI 1.58-1.88), cardiac (AOR 1.24, 95 % CI 1.06-1.46), and respiratory (AOR 1.96, 95 % CI 1.81-2.11) complications. AWS was associated with prolonged LOS, (ß: 3.3 days, 95 % CI: 3.0 to 3.5), greater cost (ß: +$8900, 95 % CI $7900-9800) and incremental odds of nonhome discharge (AOR 1.43, 95 % CI 1.34-1.53). Furthermore, male sex, Medicaid insurance status, head injury and thoracic operation were linked with greater odds of development of AWS. Conclusion: In the present study, AWS development was associated with increased odds of in-hospital mortality, perioperative complications, and resource burden. The identification of patient and operative characteristics linked with AWS may improve screening protocols in trauma care.

Nationwide Trends in Utilization of Minimally Invasive Techniques for Blunt Abdominal Trauma.

BACKGROUND: Despite increasing use of minimally invasive surgical (MIS) techniques for trauma, limited large-scale studies have evaluated trends, outcomes, and resource utilization at centers that utilize MIS modalities for blunt abdominal trauma. METHODS: Operative adult admissions after blunt assault, falls, or vehicular collisions were tabulated from the 2016-2020 National Inpatient Sample. Patients who received diagnostic laparoscopy or other laparoscopic and robotic intervention were classified as MIS. Institutions with at least one MIS trauma operation in a year were defined as an MIS Performing Institution (MPI; rest: non-MPI). The primary endpoint was mortality, with secondary outcomes of reoperation, complication, postoperative length of stay (LOS), and hospitalization costs. Mixed regression models were used to determine the association of MPI status on the outcomes of interest. RESULTS: Throughout the study period, the proportion of MIS operations and MPI significantly increased from 22.6 to 29.8% and 45.9 to 58.8%, respectively. Of an estimated 77,480 patients, 66.7% underwent care at MPI. After adjustment, MPI status was not associated with increased odds of mortality (adjusted odds ratio [AOR] 1.09, 95% confidence interval [CI] [.96,1.24]), reoperation (AOR 1.02, CI [.87,1.19]), or any of the tabulated complications. There was additionally no difference in adjusted LOS (ß-.18, CI [-.85, +.49]) or costs (ß+$1600, CI [-1600, +4800]), between MPI and non-MPI. DISCUSSION: The use of MIS operations in blunt abdominal trauma has significantly increased, with performing centers experiencing no difference in mortality or resource utilization. Prospectively collected data on outcomes following MIS trauma surgery is necessary to elucidate appropriate applications.

Social network analysis for medical narcotics in South Korea: focusing on patients and healthcare organizations.

BACKGROUND: Medical narcotics must be administered under medical supervision because of their potential for misuse and abuse, leading to more dangerous and addictive substances. The control of medical narcotics requires close monitoring to ensure that they remain safe and effective. This study proposes a methodology that can effectively identify the overprescription of medical narcotics in hospitals and patients. METHODS: Social network analysis (SNA) was applied to prescription networks for medical narcotics. Prescription data were obtained from the Narcotics Information Management System in South Korea, which contains all data on narcotic usage nationwide. Two-mode networks comprising hospitals and patients were constructed based on prescription data from 2019 to 2021 for the three most significant narcotics: appetite suppressants, zolpidem, and propofol. Two-mode networks were then converted into one-mode networks for hospitals. Network structures and characteristics were analyzed to identify hospitals suspected of overprescribing. RESULTS: The SNA identified hospitals that overprescribed medical narcotics. Patients suspected of experiencing narcotic addiction seek treatment in such hospitals. The structure of the network was different for the three narcotics. While appetite suppressants and propofol networks had a more centralized structure, zolpidem networks showed a less centralized but more fragmented structure. During the analysis, two types of hospitals caught our attention: one with a high degree, meaning that potential abusers have frequently visited the hospital, and the other with a high weighted degree, meaning that the hospital may overprescribe. For appetite suppressants, these two types of hospitals matched 84.6%, compared with 30.0% for propofol. In all three narcotics, clinics accounted for the largest share of the network. Patients using appetite suppressants were most likely to visit multiple locations, whereas those using zolpidem and propofol tended to form communities around their neighborhoods. CONCLUSIONS: The significance of this study lies in its analysis of nationwide narcotic use reports and the differences observed across different types of narcotics. The social network structure between hospitals and patients varies depending on the composition of the medical narcotics. Therefore, these characteristics should be considered when controlling medication with narcotics. The results of this study provide guidelines for controlling narcotic use in other countries.

Differentially expressed genes associated with high metabolic tumor volume served as diagnostic markers and potential therapeutic targets for pancreatic cancer.

BACKGROUND: The lack of distinct biomarkers for pancreatic cancer is a major cause of early-stage detection difficulty. The pancreatic cancer patient group with high metabolic tumor volume (MTV), one of the values measured from positron emission tomography-a confirmatory method and standard care for pancreatic cancer, showed a poorer prognosis than those with low MTV. Therefore, MTV-associated differentially expressed genes (DEGs) may be candidates for distinctive markers for pancreatic cancer. This study aimed to evaluate the possibility of MTV-related DEGs as markers or therapeutic targets for pancreatic cancer. METHODS: Tumor tissues and their normal counterparts were obtained from patients undergoing preoperative 18F-FDG PET/CT. The tissues were classified into MTV-low and MTV-high groups (7 for each) based on the MTV2.5 value of 4.5 (MTV-low: MTV2.5 < 4.5, MTV-high: MTV2.5 ≥ 4.5). Gene expression fold change was first calculated in cancer tissue compared to its normal counter and then compared between low and high MTV groups to obtain significant DEGs. To assess the suitability of the DEGs for clinical application, the correlation of the DEGs with tumor grades and clinical outcomes was analyzed in TCGA-PAAD, a large dataset without MTV information. RESULTS: Total RNA-sequencing (MTV RNA-Seq) revealed that 44 genes were upregulated and 56 were downregulated in the high MTV group. We selected the 29 genes matching MTV RNA-seq patterns in the TCGA-PAAD dataset, a large clinical dataset without MTV information, as MTV-associated genes (MAGs). In the analysis with the TCGA dataset, MAGs were significantly associated with patient survival, treatment outcomes, TCGA-PAAD-suggested markers, and CEACAM family proteins. Some MAGs showed an inverse correlation with miRNAs and were confirmed to be differentially expressed between normal and cancerous pancreatic tissues. Overexpression of KIF11 and RCC1 and underexpression of ADCY1 and SDK1 were detected in ~ 60% of grade 2 pancreatic cancer patients and associated with ~ 60% mortality in stages I and II. CONCLUSIONS: MAGs may serve as diagnostic markers and miRNA therapeutic targets for pancreatic cancer. Among the MAGs, KIF11, RCC1, ADCY, and SDK1 may be early diagnostic markers.

Utilization of minimally invasive colectomy at safety-net hospitals in the United States.

BACKGROUND: Prior literature has reported inferior surgical outcomes and reduced access to minimally invasive procedures at safety-net hospitals. However, this relationship has not yet been elucidated for elective colectomy. We sought to characterize the association between safety-net hospitals and likelihood of minimally invasive resection, perioperative outcomes, and costs. METHODS: All adult (≥18 years) hospitalization records entailing elective colectomy were identified in the 2016-2020 National Inpatient Sample. Centers in the top quartile of safety-net burden were considered safety-net hospitals (others: non-safety-net hospitals). Multivariable regression models were developed to assess the impact of safety-net hospitals status on key outcomes. RESULTS: Of ∼532,640 patients, 95,570 (17.9%) were treated at safety-net hospitals. The safety-net hospitals cohort was younger and more often of Black race or Hispanic ethnicity. After adjustment, care at safety-net hospitals remained independently associated with reduced odds of minimally invasive surgery (adjusted odds ratio 0.92; 95% confidence interval 0.87-0.97). The interaction between safety-net hospital status and race was significant, such that Black race remained linked with lower odds of minimally invasive surgery at safety-net hospitals (reference: White race). Additionally, safety-net hospitals was associated with greater likelihood of in-hospital mortality (adjusted odds ratio 1.34, confidence interval 1.04-1.74) and any perioperative complication (adjusted odds ratio 1.15, confidence interval 1.08-1.22), as well as increased length of stay (ß+0.26 days, confidence interval 0.17-0.35) and costs (ß+$2,510, confidence interval 2,020-3,000). CONCLUSION: Care at safety-net hospitals was linked with lower odds of minimally invasive colectomy, as well as greater complications and costs. Black patients treated at safety-net hospitals demonstrated reduced likelihood of minimally invasive surgery, relative to White patients. Further investigation is needed to elucidate the root causes of these disparities in care.

Histopathologic image-based deep learning classifier for predicting platinum-based treatment responses in high-grade serous ovarian cancer.

Platinum-based chemotherapy is the cornerstone treatment for female high-grade serous ovarian carcinoma (HGSOC), but choosing an appropriate treatment for patients hinges on their responsiveness to it. Currently, no available biomarkers can promptly predict responses to platinum-based treatment. Therefore, we developed the Pathologic Risk Classifier for HGSOC (PathoRiCH), a histopathologic image-based classifier. PathoRiCH was trained on an in-house cohort (n = 394) and validated on two independent external cohorts (n = 284 and n = 136). The PathoRiCH-predicted favorable and poor response groups show significantly different platinum-free intervals in all three cohorts. Combining PathoRiCH with molecular biomarkers provides an even more powerful tool for the risk stratification of patients. The decisions of PathoRiCH are explained through visualization and a transcriptomic analysis, which bolster the reliability of our model's decisions. PathoRiCH exhibits better predictive performance than current molecular biomarkers. PathoRiCH will provide a solid foundation for developing an innovative tool to transform the current diagnostic pipeline for HGSOC.

Demystifying the association of center-level operative trauma volume and outcomes of emergency general surgery.

BACKGROUND: Recent studies have demonstrated a positive volume-outcome relationship in emergency general surgery. Some have advocated for the sub-specialization of emergency general surgery independent from trauma. We hypothesized inferior clinical outcomes of emergency general surgery with increasing center-level operative trauma volume, potentially attributable to overall hospital quality. METHODS: Adults (≥18 years) undergoing complex emergency general surgery operations (large and small bowel resection, repair of perforated peptic ulcer, lysis of adhesions, laparotomy) were identified in the 2016 to 2020 Nationwide Readmissions Database. Multivariable risk-adjusted models were developed to evaluate the association of treatment at a high-volume trauma center (reference: low-volume trauma center) with clinical and financial outcomes after emergency general surgery. To evaluate hospital quality, mortality among adult hospitalizations for acute myocardial infarction was assessed by hospital trauma volume. RESULTS: Of an estimated 785,793 patients undergoing a complex emergency general surgery operation, 223,116 (28.4%) were treated at a high-volume trauma center. Treatment at a high-volume trauma center was linked to 1.19 odds of in-hospital mortality (95% confidence interval 1.12-1.27). Although emergency general surgery volume was associated with decreasing predicted risk of mortality, increasing trauma volume was linked to an incremental rise in the odds of mortality after emergency general surgery. Secondary analysis revealed increased mortality for admissions for acute myocardial infarction with greater trauma volume. CONCLUSION: We note increased mortality for emergency general surgery and acute myocardial infarction in patients receiving treatment at high-volume trauma centers, signifying underlying structural factors to broadly affect quality. Thus, decoupling trauma and emergency general surgery services may not meaningfully improve outcomes for emergency general surgery patients. Our findings have implications for the evolving specialty of emergency general surgery, especially for the safety and continued growth of the acute care surgery model.