The Relationship Between Governing Board Composition and Medicare Shared Savings Program Accountable Care Organizations Outcomes: an Observational Study.

BACKGROUND: Early studies of Medicare Shared Savings Program (MSSP) accountable care organizations (ACOs) suggested that physician leadership was an important driver of ACO success, but it is unknown whether the demographic and professional composition of current MSSP ACO governing boards is associated with ACOs' publicly reported outcomes. OBJECTIVE: To investigate whether governing boards with higher physician participation and greater female involvement have better outcomes. DESIGN: Cross-sectional observational study. PARTICIPANTS: All 2017 MSSP ACOs identified by the Center for Medicare and Medicaid Services ACO Public Use Files (PUF). MAIN MEASURES: We collected governing board composition from ACO websites in 2019. Outcome metrics included risk-standardized readmission and unplanned admissions rates. We used descriptive statistics and linear regression models to examine the association between board composition and outcomes. KEY RESULTS: Of the 339 ACOs that still existed in 2019 and had available data, 77% had physician-majority boards and 11.5% had no women on their boards. Eighty-nine percent reported a Medicare beneficiary on their board, of which about one-third had a woman representative. The average number of members on MSSP ACO boards was 12, with a mean of 67% physicians and 24% women. Board composition varied minimally by ACO characteristics, such as geographic region, number of beneficiaries, or type of participants. Higher levels of physician participation in ACO governing boards were associated with lower all-cause unplanned admission rates for patients with heart failure (p = - 0.26, p < 0.001) and for patients with multiple chronic conditions (p = - 0.28, p = 0.001). The number of women on the board was not associated with any outcome differences. CONCLUSIONS: MSSP ACO governing boards were predominately male and physician-led. Physician involvement may be important for achieving quality goals, while lack of female involvement showcases an opportunity to diversify boards.

Trends in US hospitalizations for anaphylaxis among infants and toddlers: 2006 to 2015.

BACKGROUND: Anaphylaxis is a potentially fatal acute allergic reaction. Its overall prevalence appears to be rising, but little is known about US hospitalization trends among infants and toddlers. OBJECTIVE: To identify the trends and predictors of hospitalization for anaphylaxis among infants and toddlers. METHODS: We used the nationally representative National Inpatient Sample (NIS), from 2006 to 2015, to perform an analysis of trends in US hospitalizations for anaphylaxis among infants and toddlers (age, <3 years) and other children (age, 3-18 years). For internal consistency, we identified patients with anaphylaxis by the International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis code and excluded those with the International Classification of Diseases, Tenth Revision, Clinical Modification (late 2015). We calculated trends in anaphylaxis hospitalizations over time by age group and then used multivariable logistic regression to describe anaphylaxis hospitalizations among infants and toddlers. RESULTS: Among infants and toddlers, there was no significant change in anaphylaxis hospitalizations during the 10-year study period (Ptrend = .14). Anaphylaxis hospitalization among infants and toddlers was more likely in males, with private insurance, in the highest income quartile, with chronic pulmonary disease, who presented on a weekend day, to an urban teaching hospital, located in the Northeast. In contrast, anaphylaxis hospitalizations among older children (age, 3-<18 years) rose significantly during the study (Ptrend < .001). CONCLUSION: Anaphylaxis hospitalizations among infants and toddlers in the United States were stable from 2006 to 2015, whereas hospitalizations among older children were rising. Future research should focus on the trends in disease prevalence and health care utilization in the understudied population of infants and toddlers.

Distance From Freestanding Emergency Departments to Nearby Emergency Care.

STUDY OBJECTIVE: The number of freestanding emergency departments (EDs) has increased rapidly in the United States, and there is concern that such entities are located near existing EDs rather than in areas lacking emergency care. In 2018, the Medicare Payment Advisory Commission recommended a reduction in Medicare reimbursement rates to freestanding EDs located within 6 miles of the nearest hospital-based ED. We aim to assess the potential effect of this proposal. METHODS: Using the 2016 National Emergency Department Inventory-USA database, we identified the locations and visit volumes of all US freestanding EDs. Using QGIS, we mapped the distances from all freestanding EDs to both the nearest hospital-based ED and to the nearest ED (either hospital-based or freestanding ED). RESULTS: We collected location information for all 5,375 EDs open in 2016. Of these EDs, 609 (11%) were freestanding. Few freestanding EDs (1.4%) were located in rural areas and only 11% were located in areas with a median household income of less than $43,000. Overall, 460 freestanding EDs (76%) were within 6 miles of the nearest hospital-based ED, and these had 5.3 million total patient visits, whereas those greater than 6 miles away had 2.6 million visits. CONCLUSION: We found that most freestanding EDs (76%) are within 6 miles of the nearest hospital-based ED, and most visits (67%) to freestanding EDs are to those within that proximity, indicating that many freestanding EDs would be affected by this Medicare Payment Advisory Commission proposal, if implemented.

Association of obstructive sleep apnea with all-cause readmissions after hospitalization for asthma exacerbation in adults aged 18-54 years: a population-based study, 2010-2013.

OBJECTIVE: To investigate associations between obstructive sleep apnea (OSA) and readmission risk after hospitalization for asthma exacerbation. METHODS: We conducted a retrospective, population-based cohort study using State Inpatient Databases from seven U.S. states (Arkansas, California, Florida, Iowa, Nebraska, New York, and Utah) from 2010 to 2013. We identified all adults (aged 18-54 years) hospitalized for asthma exacerbation. The outcome measure was all-cause readmissions within one year after hospitalization for asthma exacerbation. To determine associations between OSA and readmission risk, we constructed negative binomial regression models estimating the incidence rate ratio (IRR) for readmissions and Cox proportional hazards models estimating hazard rate (HR) for the time-to-first readmission. RESULTS: Among 65,731 patients hospitalized for asthma exacerbation, 6,549 (10.0%) had OSA. Overall, OSA was associated with significantly higher incident rate of all cause readmission (1.36 vs. 0.85 readmissions per person-year; unadjusted IRR 1.60; 95%CI 1.54-1.66). Additionally, OSA was associated with higher incident rates of readmissions for five major diseases-asthma (IRR 1.21; 95%CI 1.15-1.27), COPD (IRR 2.03; 95%CI 1.88-2.19), respiratory failure (IRR 3.04; 95%CI 2.76-3.34), pneumonia (IRR 1.67; 95%CI 1.49-1.88), and congestive heart failure (IRR 3.78; 95%CI 3.36-4.24), compared to non-OSA. The Cox model demonstrated that patients with OSA had significantly higher rates for all-cause readmission compared to those without OSA (HR 1.56; 95% CI 1.50-1.62). These associations remained significant after adjustment for confounders. CONCLUSIONS: The observed association of OSA with a higher risk of readmissions after hospitalization for asthma exacerbation underscores the importance of identifying coexistent OSA in this population and optimizing both OSA and asthma management.

Association of obstructive sleep apnea with severity of patients hospitalized for acute asthma.

BACKGROUND: Studies suggest that obstructive sleep apnea (OSA) is associated with suboptimal disease control and worse chronic severity of asthma. However, little is known about the relations of OSA with acute asthma severity in hospitalized patients. OBJECTIVE: To investigate the association of OSA with acute asthma severity. METHODS: This is a retrospective cohort study (2010-2013) using State Inpatient Databases from 8 geographically diverse states in the United States. The outcomes were markers of acute severity, including mechanical ventilation use, hospital length of stay, and in-hospital mortality. To determine the association of interest, we fit multivariable logistic regression models, adjusting for age, sex, race/ethnicity, primary insurance, household income, patient residence, comorbidities, hospital state, and hospitalization year. We repeated the analysis for children aged 6 to 17 years. RESULTS: Among 73,408 adult patients hospitalized for acute asthma, 10.3% had OSA. Coexistent OSA was associated with a significantly higher risk of noninvasive positive pressure ventilation use (14.9% vs 3.1%; unadjusted odds ratio, 6.48; 95% CI, 5.88-7.13; adjusted odds ratio, 5.20; 95% CI, 4.65-5.80), whereas coexistent OSA was not significantly associated with the risk of invasive mechanical ventilation use. Patients with OSA had 37% longer hospital length of stay (unadjusted incidence rate ratio, 1.37; 95% CI, 1.33-1.40); this significant association persisted in the multivariable model (incidence rate ratio, 1.13; 95% CI, 1.10-1.17). The in-hospital mortality did not significantly differ between groups. These findings were consistent in both obesity and nonobesity groups and in 27,935 children. CONCLUSION: Among patients hospitalized for acute asthma, OSA was associated with a higher risk of noninvasive positive pressure ventilation use and longer length of stay compared with those without OSA.

Medication Education for Dosing Safety: A Randomized Controlled Trial.

STUDY OBJECTIVE: This study sought to determine whether a brief intervention at the time of emergency department (ED) discharge can improve safe dosing of liquid acetaminophen and ibuprofen by parents or guardians. METHODS: We performed a randomized controlled trial in the ED of parents and guardians of children 90 days to 11.9 years of age who were discharged with acetaminophen or ibuprofen, or both. Families were randomized to standard care or a teaching intervention combining lay language, simplified handouts, provision of an unmarked dosing syringe, and teach-back to confirm correct dosing. Participants were called 48 to 72 hours and 5 to 7 days after ED discharge to assess understanding of correct dosing. The primary outcome was defined as parent or guardian report of safe dosing at the time of first follow-up call. Our primary hypothesis was that the intervention would decrease the rate of error from 30% to 10% at 48- to 72-hour follow-up. RESULTS: We enrolled 149 of 259 (58%) eligible subjects; 97 of 149 (65%) were reached at first follow-up call, of whom 35 of 97 (36%) received the intervention. Among those participants receiving the intervention, 25 of 35 (71%) were able to identify a safe dose for their child at the time of the first call compared with 28 of 62 (45%) of those in the control arm. The difference in proportions was 26% (95% confidence interval [CI] 7% to 46%). There was a 58% increase in reporting safe dosing in the intervention group compared with the control roup (relative risk 1.58; 95% CI 1.12 to 2.24), and it remained significant after adjustment for health literacy and language (adjusted relative risk 1.50; 95% CI 1.06 to 2.13). CONCLUSIONS: A multifaceted intervention at the time of ED discharge-consisting of a simplified dosing handout, a teaching session, teach-back, and provision of a standardized dosing device-can improve parents' knowledge of safe dosing of liquid medications at 48 to 72 hours.

Contribution of social factors to readmissions within 30 days after hospitalization for COPD exacerbation.

BACKGROUND: To investigate whether, in patients hospitalized for COPD, the addition of social factors improves the predictive ability for the risk of overall 30-day readmissions, early readmissions (within 7 days after discharge), and late readmissions (8-30 days after discharge). METHODS: Patients (aged ≥40 years) hospitalized for COPD were identified in the Medicare Current Beneficiary Survey from 2006 through 2012. With the use of 1000 bootstrap resampling from the original cohort (training-set), two prediction models were derived: 1) the reference model including age, comorbidities, and mechanical ventilation use, and 2) the optimized model including social factors (e.g., educational level, marital status) in addition to the covariates in the reference model. Prediction performance was examined separately for 30-day, early, and late readmissions. RESULTS: Following 905 index hospitalizations for COPD, 18.5% were readmitted within 30 days. In the test-set, for overall 30-day readmissions, the discrimination ability between reference and optimized models did not change materially (C-statistic, 0.57 vs. 0.58). By contrast, for early readmissions, the optimized model had significantly improved discrimination (C-statistic, 0.57 vs. 0.63; integrated discrimination improvement [IDI], 0.018 [95%CI, 0.003-0.032]) and reclassification (continuous net reclassification index [NRI], 0.298 [95%CI 0.060-0.537]). Likewise, for late readmissions, the optimized model also had significantly improved discrimination (C-statistic, 0.65 vs. 0.68; IDI, 0.026 [95%CI 0.009-0.042]) and reclassification (continuous NRI, 0.243 [95%CI 0.028-0.459]). CONCLUSIONS: In a nationally-representative sample of Medicare beneficiaries hospitalized for COPD, we found that the addition of social factors improved the predictive ability for readmissions when early and late readmissions were examined separately.

ICU Utilization for Patients With Acute Exacerbation of Chronic Obstructive Pulmonary Disease Receiving Noninvasive Ventilation.

OBJECTIVES: We investigated whether patients with chronic obstructive pulmonary disease could safely receive noninvasive ventilation outside of the ICU. DESIGN: Retrospective cohort study. SETTING: Twelve states with ICU utilization flag from the State Inpatient Database from 2014. PATIENTS: Patients greater than or equal to 18 years old with primary diagnosis of acute exacerbation of chronic obstructive pulmonary disease and secondary diagnosis of respiratory failure who received noninvasive ventilation. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Multilevel logistic regression models were used to obtain hospital-level ICU utilization rates. We risk-adjusted using both patient/hospital characteristics. The primary outcome was in-hospital mortality; secondary outcomes were invasive monitoring (arterial/central catheters), hospital length of stay, and cost. We examined 5,081 hospitalizations from 424 hospitals with ICU utilization ranging from 0.05 to 0.98. The overall median in-hospital mortality was 2.62% (interquartile range, 1.72-3.88%). ICU utilization was not significantly associated with in-hospital mortality (ß = 0.01; p = 0.05) or length of stay (ß = 0.18; p = 0.41), which was confirmed by Spearman correlation (ρ = 0.06; p = 0.20 and ρ = 0.02; p = 0.64, respectively). However, lower ICU utilization was associated with lower rates of invasive monitor placement by linear regression (ß = 0.05; p < 0.001) and Spearman correlation (ρ = 0.28; p < 0.001). Lower ICU utilization was also associated with significantly lower cost by linear regression (ß = 14.91; p = 0.02) but not by Spearman correlation (ρ = 0.09; p = 0.07). CONCLUSIONS: There is wide variability in the rate of ICU utilization for noninvasive ventilation across hospitals. Chronic obstructive pulmonary disease patients receiving noninvasive ventilation had similar in-hospital mortality across the ICU utilization spectrum but a lower rate of receiving invasive monitors and probably lower cost when treated in lower ICU-utilizing hospitals. Although the results suggest that noninvasive ventilation can be delivered safely outside of the ICU, we advocate for hospital-specific risk assessment if a hospital were considering changing its noninvasive ventilation delivery policy.

Emergency department triage prediction of clinical outcomes using machine learning models.

BACKGROUND: Development of emergency department (ED) triage systems that accurately differentiate and prioritize critically ill from stable patients remains challenging. We used machine learning models to predict clinical outcomes, and then compared their performance with that of a conventional approach-the Emergency Severity Index (ESI). METHODS: Using National Hospital and Ambulatory Medical Care Survey (NHAMCS) ED data, from 2007 through 2015, we identified all adult patients (aged ≥ 18 years). In the randomly sampled training set (70%), using routinely available triage data as predictors (e.g., demographics, triage vital signs, chief complaints, comorbidities), we developed four machine learning models: Lasso regression, random forest, gradient boosted decision tree, and deep neural network. As the reference model, we constructed a logistic regression model using the five-level ESI data. The clinical outcomes were critical care (admission to intensive care unit or in-hospital death) and hospitalization (direct hospital admission or transfer). In the test set (the remaining 30%), we measured the predictive performance, including area under the receiver-operating-characteristics curve (AUC) and net benefit (decision curves) for each model. RESULTS: Of 135,470 eligible ED visits, 2.1% had critical care outcome and 16.2% had hospitalization outcome. In the critical care outcome prediction, all four machine learning models outperformed the reference model (e.g., AUC, 0.86 [95%CI 0.85-0.87] in the deep neural network vs 0.74 [95%CI 0.72-0.75] in the reference model), with less under-triaged patients in ESI triage levels 3 to 5 (urgent to non-urgent). Likewise, in the hospitalization outcome prediction, all machine learning models outperformed the reference model (e.g., AUC, 0.82 [95%CI 0.82-0.83] in the deep neural network vs 0.69 [95%CI 0.68-0.69] in the reference model) with less over-triages in ESI triage levels 1 to 3 (immediate to urgent). In the decision curve analysis, all machine learning models consistently achieved a greater net benefit-a larger number of appropriate triages considering a trade-off with over-triages-across the range of clinical thresholds. CONCLUSIONS: Compared to the conventional approach, the machine learning models demonstrated a superior performance to predict critical care and hospitalization outcomes. The application of modern machine learning models may enhance clinicians' triage decision making, thereby achieving better clinical care and optimal resource utilization.

Time-varying Readmission Diagnoses During 30 Days After Hospitalization for COPD Exacerbation.

OBJECTIVE: To investigate the longitudinal changes in principal readmission diagnoses within 30 days after hospitalization for acute exacerbation of chronic obstructive pulmonary disease (AECOPD). STUDY SETTING: Medicare claims data, 2010-2012. STUDY DESIGN: Retrospective cohort study. DATA COLLECTION METHODS: We identified AECOPD hospitalizations aged 65 years and above, and examined the principal 30-day readmission diagnoses (respiratory related, cardiac related, and other conditions). We also constructed Joinpoint regression models to test whether patients with each of the 3 major readmission conditions had a unique temporal pattern of readmission during the 30-day period. PRINCIPAL FINDINGS: Among 76,697 index hospitalizations with AECOPD, 14,090 (18.4%) were readmitted within 30 days. Respiratory-related conditions accounted for 55% of readmissions. The proportion of respiratory-related conditions as the readmission diagnosis decreased from postdischarge day 1 to day 8 (4.0% decrease), and then increased thereafter (13.2% increase; P=0.06). Cardiac-related conditions had a similar nonlinear trend with an inflection point at day 6 (P=0.02), with a subsequent downward trend from day 22 (P=0.01). By contrast, the other conditions increased from day 1 to day 6 (15.0% increase), and then significantly decreased (28.8% decrease; P=0.04). CONCLUSIONS: The proportions of principal discharge diagnosis of readmission changed significantly at around postdischarge day 7. Our findings advance research into identification of the underlying mechanisms and development of targeted interventions to prevent readmissions.

Incidence of Acute Cardiovascular Event After Acute Exacerbation of COPD.

BACKGROUND: There is a lack of comprehensive view of the association between acute exacerbation of COPD (AECOPD) and the risk of acute cardiovascular events. OBJECTIVE: To determine the association of AECOPD with 30-day and 1-year incidences of acute cardiovascular event. DESIGN: Self-controlled case series analysis using population-based datasets from three US states from 2005 through 2011. PARTICIPANTS: Patients aged ≥ 40 years with AECOPD. MAIN MEASURES: The primary outcome was a composite of an ED visit or hospitalization for acute cardiovascular events, including acute myocardial infarction, heart failure, atrial fibrillation, pulmonary embolism, and stroke. We compared the incidence of each patient's acute cardiovascular event during the first 30-day period before the index AECOPD (30-day reference period) in comparison with that during the 30-day period after the index AECOPD. Likewise, with the 1-year period before the index AECOPD as reference, we also estimated incidence rate ratios (IRRs) for each patient's outcomes during 1-year period after the index AECOPD. KEY RESULTS: Overall, there were 362,867 patients with an ED visit or hospitalization for AECOPD. Compared with the 30-day reference period, the incidence of acute cardiovascular event in the 30-day period after the AECOPD was significantly higher (IRR, 1.34; 95%CI, 1.30-1.39; P < 0.001). Likewise, compared with the 1-year reference period, the incidence during the 1-year period after the AECOPD was also higher (IRR, 1.20; 95%CI, 1.18-1.22; P < 0.001). For each of acute cardiovascular conditions, the associations remained significant (all P < 0.05). CONCLUSIONS: AECOPD was associated with increased 30-day and 1-year incidences of acute cardiovascular event.

Association of obstructive sleep apnoea with acute severity of chronic obstructive pulmonary disease exacerbation: a population-based study.

Little is known about the association of obstructive sleep apnoea (OSA) with the severity of acute exacerbation of chronic obstructive pulmonary disease (AECOPD). This retrospective cohort study investigated the association of coexistent OSA with acute severity markers (i.e. invasive positive pressure ventilation (IPPV) use and hospital length of stay (LOS)) among adults hospitalised for AECOPD. Patients with coexistent OSA had a significantly higher risk of IPPV use and prolonged hospital LOS compared to those without OSA.

Machine learning approaches for predicting disposition of asthma and COPD exacerbations in the ED.

OBJECTIVE: The prediction of emergency department (ED) disposition at triage remains challenging. Machine learning approaches may enhance prediction. We compared the performance of several machine learning approaches for predicting two clinical outcomes (critical care and hospitalization) among ED patients with asthma or COPD exacerbation. METHODS: Using the 2007-2015 National Hospital and Ambulatory Medical Care Survey (NHAMCS) ED data, we identified adults with asthma or COPD exacerbation. In the training set (70% random sample), using routinely-available triage data as predictors (e.g., demographics, arrival mode, vital signs, chief complaint, comorbidities), we derived four machine learning-based models: Lasso regression, random forest, boosting, and deep neural network. In the test set (the remaining 30% of sample), we compared their prediction ability against traditional logistic regression with Emergency Severity Index (ESI, reference model). RESULTS: Of 3206 eligible ED visits, corresponding to weighted estimates of 13.9 million visits, 4% had critical care outcome and 26% had hospitalization outcome. For the critical care prediction, the best performing approach- boosting - achieved the highest discriminative ability (C-statistics 0.80 vs. 0.68), reclassification improvement (net reclassification improvement [NRI] 53%, P = 0.002), and sensitivity (0.79 vs. 0.53) over the reference model. For the hospitalization prediction, random forest provided the highest discriminative ability (C-statistics 0.83 vs. 0.64) reclassification improvement (NRI 92%, P < 0.001), and sensitivity (0.75 vs. 0.33). Results were generally consistent across the asthma and COPD subgroups. CONCLUSIONS: Based on nationally-representative ED data, machine learning approaches improved the ability to predict disposition of patients with asthma or COPD exacerbation.

Association of Bariatric Surgery With Risk of Infectious Diseases: A Self-Controlled Case Series Analysis.

Background: Although emerging data demonstrate that obesity is a risk factor for infectious diseases, no study has investigated the relationship of bariatric surgery with the risk of infectious diseases among obese adults. Methods: We conducted a self-controlled case series analysis using data from the State Emergency Department Database and State Inpatient Database of 3 US states (California, Florida, and Nebraska) from 2005 through 2011. We included obese adults who underwent bariatric surgery as an instrument of weight reduction. Primary outcomes were emergency department (ED) visit or hospitalization for skin and soft-tissue infection (SSTI), respiratory infection, intra-abdominal infection, or urinary tract infection (UTI). Results: Among 56277 obese adults who underwent bariatric surgery, compared to presurgery months 13-24 as the reference period, the risk of ED visit or hospitalization in the 0- to 12-month postsurgery period decreased significantly for SSTI (aOR, 0.85 [95% confidence interval {CI}, .76-.95]) and respiratory infection (aOR, 0.82 [95% CI, .75-.90]) and remained significantly low in the 13- to 24-month postsurgery period (aORs, 0.77 [95% CI, .68-.86] and 0.75 [95% CI, .68-.82], respectively). By contrast, the risk increased significantly in the 0- to 12-month postsurgery period for intra-abdominal infection (aOR, 2.09 [95% CI, 1.78-2.46]) and UTI (aOR, 1.93 [95% CI, 1.74-2.15]) and remained high in the 13- to 24-month postsurgery period (aORs, 1.29 [95% CI, 1.09-1.54] and 1.31 [95% CI, 1.17-1.47], respectively). Conclusions: We found a divergent risk pattern in the risk of 4 common infectious diseases after bariatric surgery. The risk of SSTI and respiratory infection decreased after bariatric surgery whereas that of intra-abdominal infection and UTI increased.

Seven versus 10 days antibiotic therapy for culture-proven neonatal sepsis: A randomised controlled trial.

AIM: Optimal duration of parenteral antibiotics for treating neonatal sepsis ranges from 7-14 days. We compared the efficacy of 7 versus 10 days duration of intravenous antibiotics for neonatal septicaemia. METHODS: We randomised blood culture-proven septic neonates (≥32 weeks and birth weight ≥1.5 kg) to receive either 7 or 10 days duration of intravenous antibiotics. We followed up neonates upto 28 days after stopping antibiotics for treatment failure defined by reappearance of clinical sepsis with a blood culture growing the same organism as cultured earlier, or in the absence of a positive culture, the presence of C-reactive protein and as adjudicated by an expert committee. RESULTS: A total of 132 neonates were randomised to receive either 7 (n = 66) or 10 (n = 66) days duration of antibiotic therapy. Out of 128 neonates (64 per group) followed up, two (one per group) were regarded as 'treatment failure', and two were labelled as fresh episodes of sepsis (both in 10-day group). The risk (95% confidence interval) for treatment failure in the 7-day group was (1.0 (0.064-15.644) was not significantly higher. Neonates in both groups had comparable need for oxygen, inotropic support and blood products, duration of oxygen therapy and time to attainment of full feeds. The duration of hospitalisation was significantly longer in the 10-day group. CONCLUSION: A 7-day course of intravenous antibiotics may be sufficient to treat neonatal sepsis with the advantage of shorter hospital stay, but a larger meta-analysis would be required to state this with a degree of certainty.

Emergency Departments in Connecticut: A Report Utilizing the National Emergency Department Inventory Survey.

OBJECTIVE: To describe the current state of emergency departments in Connecticut. METHODS: We analyzed Connecticut data from the National Emergency Department Inventory - Nev England survey. We categorized emergency departments (EDs) into high-volume (> 50 000 annual vis its) vs low-volume (< 50000 visits). RESULTS: 31 (89%) Connecticut EDs responded. The median annual ED visit volume was 45,000 visits with 20 (65%) EDs reported being "at or over capacity," including nearly all high-volume EDs. Only 1: (35%) EDs had pediatric emergency care coordinators, and access to specialties varied with notable shortages in neurology, neurosurgery, plastic sur- gery, and hand surgery. Electronic health records had near universal adoption but video consultation utilization was limited. Computer tomography and point-of-care ultrasound was widely available. CONCLUSION: While Connecticut EDs reported the ability to provide a broad array of emergency care services, policymakers seeking to improve acute care access should focus efforts on crowding and pediatric emergency care, as well as video consultation adoption.

Gender differences in outcomes of low birth weight and preterm neonates: the male disadvantage.

Various studies conducted worldwide have shown that male neonates have higher rates of mortality and morbidity in the perinatal period compared with females. However, there has been only one study from India on this subject. Therefore, this study was conducted to establish the difference in mortality between males and females among neonates born with two established risk factors of septicaemia--low birth weight (<2.5 kg) and preterm birth (<37 weeks). One hundred and fifty consecutive neonates which were either preterm or had low birth weight were recruited after obtaining informed consent from the parents. Blood culture was done, and the bacterial isolates were identified by standard protocol. Statistically significant association was found between male gender and mortality among culture-positive neonates. Therefore, results of the present study indicate that preterm or low birth weight male neonates have higher likelihood of mortality compared with their female counterparts in the Indian scenario.

Mirizzi Syndrome Type II with Cholecystoduodenal Fistula: An Infrequent Combination.

We report a case of Mirizzi syndrome type II associated with biliary enteric fistula. It is important to identify this combination early, as it is associated with high morbidity. In our case, intraoperative findings were cholecystoduodenal fistula and communication of Hartmann's pouch with common bile duct (CBD). A subtotal cholecystectomy with excision of cholecystoduodenal fistula was performed. A minimal surgical maneuver of Calot's Triangle with repair of cholecystoduodenal fistula is required during the intraoperative period.

Wandering Spleen- A diagnostic Challenge: Case Report and Review of Literature.

Wandering spleen or hypermobile spleen results from the elongation or maldevelopment of the spleen's suspensory ligaments. It is a rare clinical entity that mainly affects children. Among adults, it is most commonly found in females of active reproductive age. It may present as an asymptomatic mass in the abdomen, or it may present with intermittent abdominal discomfort because of torsion and spontaneous detorsion of the spleen. We present the case of a 37-year-old female who had features of intestinal obstruction with mass per abdomen. Exploratory laparotomy showed an infarcted spleen. A total splenectomy was performed.

Tunica albuginea versus buccal mucosa graft urethroplasty for anterior urethral stricture: A prospective randomised pilot study.

Objective: The objective of the study was to compare the outcome of tunica albuginea urethroplasty (TAU) and buccal mucosa graft (BMG) urethroplasty for anterior urethral stricture. Methods: Thirty patients who met the inclusion criteria were randomised into two groups: TAU (Group A) and BMG urethroplasty (Group B). Surgical outcome was evaluated with pre- and post-operative work-up involving retrograde urethrogram, voiding cystourethrogram, uroflowmetry, and urethroscopy. Patients were followed up till 1 year. Results: Mean duration of surgery was statistically significant between two groups (p=0.0005). Maximum urine flow rate was comparable when compared between two groups (p=0.22) but statistically significant when compared pre- and post-operatively (p<0.001). At follow-up of 1 year, the successful outcomes were 80% in Group A and 87% in Group B. A total of five patients who had unsuccessful results required redo urethroplasty. Complications were minimal in both the groups. Conclusion: TAU provides outcomes equivalent to those of BMG urethroplasty. TAU has less operative time, easy to perform, and beneficial in patients with poor oral hygiene.