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Background : During the ongoing opioid epidemic, Cuyahoga County (second largest in Ohio) reported overdose mortality rates (54/per 100,000) higher than the national average. Prior research demonstrates that people who use drugs often use alone but there is minimal research on people who died of overdose while using alone. The objective of this study is to examine sociodemographic, toxicologic, and injury characteristics, and emergency medical response to overdose decedents who died using drugs alone. Method : Data from the Cuyahoga County Medical Examiner's Office (2016-2020, N  = 2944) on unintentional overdose deaths in adults was tabulated including socio-demographic, toxicologic, and injury-related information. Decedents using drugs alone were identified and compared to those not using alone via Chi-square and Fisher's exact tests. We further fit a multivariate logistic regression model to evaluate socio-demographic, toxicologic, and injury-related factors associated with increased odds of using alone. All results are reported with 95% confidence intervals. Result : Among decedents, 75% ( n  = 2205) were using drugs alone. Decedents using alone were more likely to be using drugs at home ( p =  0.001) or be found dead at the scene ( p  < 0.001) and less likely to receive naloxone ( p  < 0.001) have other person/bystander, not using, present ( p =  0.002). Using drugs at home (aOR = 1.61[1.19-2.20]) was associated with higher odds of using alone; and being married (aOR = 0.57[0.38-0.86]), having history of illicit drug use (aOR = 0.25[0.08-0.81]) and other person present, who was not using (aOR = 0.58[0.42-0.79]) were associated with lower odds of using alone. Conclusion : New harm reduction approaches targeting people using drugs alone are needed to reduce overdose deaths.

Learning Objectives: 1. Understand the basic structure and parts of a systematic review 2. Be able to read and critically appraise a published systematic review., Competing Interests: Conflict of interestThe authors do not declare any conflict of interest., (© This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2022.)

Understand the limitations of the modeling of survival data, especially as pertains to the Cox proportional hazards model.An introduction to model-free estimates of survival, namely, the restricted mean survival time/restricted mean lost time.Use R (The R Foundation for Statistical Computing, Austria) or STATA® (The STATACorp, College Station, TX, USA) to perform analyses and obtain these parameters from a dataset., Supplementary Information: The online version contains supplementary material available at 10.1007/s12055-021-01167-4., Competing Interests: Conflict of interestThe authors declare no competing interests., (© This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021.)

Since late 2014, fentanyl has become the major driver of opioid mortality in the United States. However, a descriptive analysis of fentanyl victims is limited. We studied the 2016 fentanyl and heroin overdose deaths and compared them to previously studied heroin-associated fatalities from 2012 over a wide range of demographic and investigative variables, including overdose scene findings, toxicology results, and prescription drug history. We observed a significant increase in fentanyl-related deaths (n = 421, 2016) versus heroin deaths (n = 160, 2012) but the baseline demographics between both cohorts remained similar. Victims were predominantly of ages 35-64 years (60%-64%), White (83%-85%), and male (73%-76%). 2016 fentanyl decedents were more likely to have naloxone administered upon overdose, and the majority still had a positive prescription history for a controlled substance. Toxicology data showed a decrease in mean morphine and 6-monoacetylmorphine concentrations when cointoxication with fentanyl occurred. Our study emphasizes the medical examiner's role as a public health data source and bridge between different stakeholders combating the opioid epidemic., (© 2021 American Academy of Forensic Sciences.)

Background: Re-admission is an important source of patient dissatisfaction and increased hospital costs. A simple calculator to determine the probability of re-admission may help guide patient dismissal planning., Methods: Using the national readmissions database (NRD), we identified admissions for isolated primary coronary artery bypass (CABG) and stratified them according to 30-day readmission. Including pre, intra and postoperative variables, we prepared a logistic regression model to determine the probability for re-admission. The model was tested for reliability with boot-strapping and 10-fold cross-validation., Results: From 135,699 procedures, 19,355 were readmitted at least once within 30days of dismissal. Patients who were readmitted were older (67±10 vs 65 ± 10 years, p<0.01), females (32% vs 24%; p<0.01) and had a higher Elixhauser comorbidity score (1.5±1.4 vs 1.1±1.2; p<0.01). Our final model (c- statistic=0.65) consisted of 16 pre and three postoperative factors. End-stage renal disease (OR 1.79 [1.57-2.04]) and length of stay>9days (OR 1.60 [1.52-1.68]) were most prominent indicators for readmission. Compared to Medicaid beneficiaries, those with private insurance (OR 0.62 [0.57-0.68]) and Medicare (OR 0.85 [0.79-0.92]) coverage were less likely to be readmitted., Conclusions: Our simple 30-days CABG readmission calculator can be used as a strategic tool to help reduce readmissions after coronary artery bypass surgery., (Copyright © 2018 Australian and New Zealand Society of Cardiac and Thoracic Surgeons (ANZSCTS) and the Cardiac Society of Australia and New Zealand (CSANZ). Published by Elsevier B.V. All rights reserved.)

Background: It remains uncertain how advances in revascularization techniques, availability of new evidence, and updated guidelines have influenced the annual rates of coronary revascularization in the United States., Methods: We used the Nationwide Inpatient Sample data from 2005 to 2014 with appropriate weighting to determine national procedural volumes. To present accurately overall percutaneous coronary intervention (PCI) rates, PCI with same-day discharge numbers per year were estimated from the available literature and added to annual PCI procedures performed., Results: Annual PCI rate declined from 353 per 100,000 adults in 2005 to 277 per 100,000 adults in 2009 (P < .001) but remained stable thereafter (P = .50). Annual coronary artery bypass grafting (CABG) rate declined steadily, at a shallower slope than PCI, from 120 per 100,000 in 2005 to 93 per 100,000 in 2009 (P = .02) but remained stable thereafter (P = .60). Similar trends were seen in men and women. Both PCI and CABG rates were lower in women than men over the study period (PCI, 482 to 324/100,000 in men vs 232 to 153/100,000 in women; CABG, 172 to 118/100,000 in men vs 64 to 38/100,000 in women). Annual PCI rates were higher than CABG rates in patients of all age groups including in younger patients (age < 50) and octogenarians. The proportion of coronary revascularization procedures performed per insurance type remained relatively similar across the study period., Conclusions: Annual rates of coronary revascularization have changed significantly over time, potentially because of advances in revascularization techniques, availability of new evidence, and updated guidelines. Rates of PCI declined more steeply than CABG before plateauing but remained higher than rates of CABG across the study period., (Copyright © 2019 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)