Utility of linking primary care electronic medical records with Canadian census data to study the determinants of chronic disease: an example based on socioeconomic status and obesity.

BACKGROUND: Electronic medical records (EMRs) used in primary care contain a breadth of data that can be used in public health research. Patient data from EMRs could be linked with other data sources, such as a postal code linkage with Census data, to obtain additional information on environmental determinants of health. While promising, successful linkages between primary care EMRs with geographic measures is limited due to ethics review board concerns. This study tested the feasibility of extracting full postal code from primary care EMRs and linking this with area-level measures of the environment to demonstrate how such a linkage could be used to examine the determinants of disease. The association between obesity and area-level deprivation was used as an example to illustrate inequalities of obesity in adults. METHODS: The analysis included EMRs of 7153 patients aged 20 years and older who visited a single, primary care site in 2011. Extracted patient information included demographics (date of birth, sex, postal code) and weight status (height, weight). Information extraction and management procedures were designed to mitigate the risk of individual re-identification when extracting full postal code from source EMRs. Based on patients' postal codes, area-based deprivation indexes were created using the smallest area unit used in Canadian censuses. Descriptive statistics and socioeconomic disparity summary measures of linked census and adult patients were calculated. RESULTS: The data extraction of full postal code met technological requirements for rendering health information extracted from local EMRs into anonymized data. The prevalence of obesity was 31.6 %. There was variation of obesity between deprivation quintiles; adults in the most deprived areas were 35 % more likely to be obese compared with adults in the least deprived areas (Chi-Square = 20.24(1), p < 0.0001). Maps depicting spatial representation of regional deprivation and obesity were created to highlight high risk areas. CONCLUSIONS: An area based socio-economic measure was linked with EMR-derived objective measures of height and weight to show a positive association between area-level deprivation and obesity. The linked dataset demonstrates a promising model for assessing health disparities and ecological factors associated with the development of chronic diseases with far reaching implications for informing public health and primary health care interventions and services.

Prehospital Naloxone Administration as a Public Health Surveillance Tool: A Retrospective Validation Study.

BACKGROUND: Abuse or unintended overdose (OD) of opiates and heroin may result in prehospital and emergency department (ED) care. Prehospital naloxone use has been suggested as a surrogate marker of community opiate ODs. The study objective was to verify externally whether prehospital naloxone use is a surrogate marker of community opiate ODs by comparing Emergency Medical Services (EMS) naloxone administration records to an independent database of ED visits for opiate and heroin ODs in the same community. METHODS: A retrospective chart review of prehospital and ED data from July 2009 through June 2013 was conducted. Prehospital naloxone administration data obtained from the electronic medical records (EMRs) of a large private EMS provider serving a metropolitan area were considered a surrogate marker for suspected opiate OD. Comparison data were obtained from the regional trauma/psychiatric ED that receives the majority of the OD patients. The ED maintains a de-identified database of narcotic-related visits for surveillance of narcotic use in the metropolitan area. The ED database was queried for ODs associated with opiates or heroin. Cross-correlation analysis was used to test if prehospital naloxone administration was independent of ED visits for opiate/heroin ODs. RESULTS: Naloxone was administered during 1,812 prehospital patient encounters, and 1,294 ED visits for opiate/heroin ODs were identified. The distribution of patients in the prehospital and ED datasets did not differ by gender, but it did differ by race and age. The frequency of naloxone administration by prehospital providers varied directly with the frequency of ED visits for opiate/heroin ODs. A monthly increase of two ED visits for opiate-related ODs was associated with an increase in one prehospital naloxone administration (cross-correlation coefficient [CCF]=0.44; P=.0021). A monthly increase of 100 ED visits for heroin-related ODs was associated with an increase in 94 prehospital naloxone administrations (CCF=0.46; P=.0012). CONCLUSIONS: Frequency of naloxone administration by EMS providers in the prehospital setting varied directly with frequency of opiate/heroin OD-related ED visits. The data correlated both for short-term frequency and longer term trends of use. However, there was a marked difference in demographic data suggesting neither data source alone should be relied upon to determine which populations are at risk within the community.

Measurement of Information Transfer During Simulated Sequential Complete Shift-to-Shift Intraoperative Handoffs.

Objective: To determine information transfer during simulated shift-to-shift intraoperative anesthesia handoffs and the benefits of using a handoff tool. Patients and Methods: Anesthesiology residents and faculty participating in simulation-based education in a simulation center on April 6 and 20, 2017, and April 11 and 25, 2019. We used a fixed clinical scenario to compare information transfer in multiple sequential simulated handoff chains conducted from memory or guided by an electronic medical record generated tool. For each handoff, 25 informational elements were assessed on a discrete 0-2 scale generating a possible information retention score of 50. Time to handoff completion and number of clarifications requested by the receiver were also determined. Results: We assessed 32 handoff chains with up to 4 handoffs per chain. When both groups were combined, the mean information retention score was 31 of 50 (P<.001) for the first clinician and declined by an average of 4 points per handoff (P<.001). The handoff tool improved information retention by almost 7 points (P=.002), but did not affect the rate of information degradation (P=.38). Handoff time remained constant for the intervention group (P=.67), but declined by 2 minutes/handoff (P<.001) in the control group, which required 7 more clarifications/handoff (P=.003). In the control group, 7 of 16 (44%) handoff chains contained one or more information retention scores below the lowest score of the entire intervention group (P=.007). Conclusion: Clinical handoffs are accompanied by degradation of information that is only partially reduced by use of a handoff tool, which appears to prevent extremes of information degradation.

System-wide integration of patient reported outcome measure collection through an electronic medical record system: A state-wide retrospective study.

BACKGROUND AND PURPOSE: In spine neurosurgery practice, patient-reported outcome measures (PROMs) are tools used to convey information about a patient's health experience and are an integral component of a clinician's decision-making process as they help guide treatment strategies to improve outcomes and minimize pain. Currently, there is limited research showing effective integration strategies of PROMs into electronic medical records. This study aims to provide a framework for other healthcare systems by outlining the process from start to finish in seven Hartford Healthcare Neurosurgery outpatient spine clinics throughout the state of Connecticut. METHODS: On March 1, 2021, a pilot implementation program began in one clinic and on July 1, 2021, all outpatient clinics were implementing the revised clinical workflow that included the electronic collection of PROMs within the electronic health record (EHR). A retrospective chart analysis studied all adult (18+) new patient visits in seven outpatient clinics by comparing the rates of PROMs collection in Half 1 (March 1, 2021-August 31, 2022) and in Half 2 (September 1, 2022-February 28, 2022) across all sites. Additionally, patient characteristics were studied to identify any variables that may lead to higher rates of collection. RESULTS: During the study period, 3528 new patient visits were analyzed. There was a significant change in rates of PROMs collection across all departments between H1 and H2 (p < 0.05). Additional significant predictors for PROMs collection were the sex and ethnicity of the patient as well as the provider type for the visit (p < 0.05). CONCLUSIONS: This study proved that implementing the electronic collection of PROMs into an already existing clinical workflow reduces previously identified collection barriers and enables PROMs collection rates that meet or exceed current benchmarks. Our results provide a successful step-by-step framework for other spine neurosurgery clinics to implement a similar approach.

Improving Timely Antibiotic Administration for Pediatric Oncology Patients With Neutropenic Fever Seen in the Emergency Department.

Objective: To improve the care for pediatric oncology patients with neutropenic fever who present to the emergency department (ED) by administering appropriate empiric antibiotics within 60 minutes of arrival. Patients and Methods: We focused on improving the care for pediatric oncology patients at risk of neutropenia who presented to the ED with concern for fever. Our baseline adherence to the administration of empiric antibiotics within 60 minutes for this population was 53% (76/144) from January 1, 2010, to December 21, 2014. During 2015, we reviewed data monthly, finding 73% adherence. We used the Lean methodology to identify the process waste, completed a value-stream map with input from multidisciplinary stakeholders, and convened a root cause analysis to identify causes for delay. The 4 causes were as follows: (1) lack of staff awareness; (2) missing patient information in electronic medical record; (3) practice variation; and 4) lack of clear prioritization of laboratory draws. We initiated Plan-Do-Study-Act cycles to achieve our goal of 80% of patients receiving appropriate empiric antibiotics within 60 minutes of arrival in the ED. Results: Five Plan-Do-Study-Act cycles were completed, focusing on the following: (1) timely identification of patients by utilizing the electronic medical record to initiate a page to the care team; (2) creation of a streamlined intravascular access process; (3) practice standardization; (4) convenient access to appropriate antibiotics; and (5) care team education. Timely antibiotic administration increased from 73%-95% of patients by 2018. More importantly, the adherence was sustained to greater than 90% through 2021. Conclusion: A structured and multifaceted approach using quality improvement methodologies can achieve and sustain improved patient care outcomes in the ED.

Evaluation of Atherosclerotic Cardiovascular Risk Prediction Models in China: Results From the CHERRY Study.

Background: Updated American or Chinese guidelines recommended calculating atherosclerotic cardiovascular disease (ASCVD) risk using the Pooled Cohort Equations (PCE) or Prediction for Atherosclerotic Cardiovascular Disease Risk in China (China-PAR) models; however, evidence on performance of both models in Asian populations is limited. Objectives: The authors aimed to evaluate the accuracy of the PCE or China-PAR models in a Chinese contemporary cohort. Methods: Data were extracted from the CHERRY (CHinese Electronic health Records Research in Yinzhou) study. Participants aged 40 to 79 years without prior ASCVD at baseline from 2010 to 2016 were included. ASCVD was defined as nonfatal or fatal stroke, nonfatal myocardial infarction, and cardiovascular death. Models were assessed for discrimination and calibration. Results: Among 226,406 participants, 5362 (2.37%) adults developed a first ASCVD event during a median of 4.60 years of follow-up. Both models had good discrimination: C-statistics in men were 0.763 (95% confidence interval [CI]: 0.754-0.773) for PCE and 0.758 (95% CI: 0.749-0.767) for China-PAR; C-statistics in women were 0.820 (95% CI: 0.812-0.829) for PCE and 0.811 (95% CI: 0.802-0.819) for China-PAR. The China-PAR model underpredicted risk by 20% in men and by 40% in women, especially in the highest-risk groups. However, PCE overestimated by 63% in men and inversely underestimated the risk by 34% in women with poor calibration (both P < 0.001). After recalibration, observed and predicted risks by recalibrated PCE were better aligned. Conclusions: In this large-scale population-based study, both PCE and China-PAR had good discrimination in 5-year ASCVD risk prediction. China-PAR outperformed PCE in calibration, whereas recalibration equalized the performance of PCE and China-PAR. Further specific models are needed to improve accuracy in the highest-risk groups.

Reducing Catheter-Associated Urinary Tract Infections Across a Hospital System Through Urine Culture Stewardship.

Objective: To evaluate the effectiveness and safety of an evidence-based urine culture stewardship program in reducing hospital catheter-associated urinary tract infections (CAUTIs) and the rate of CAUTIs across a 3-hospital system. Patients and Methods: This is a prospective, 2-year quality improvement program conducted from October 1, 2018, to September 30, 2020. An evidence-based urine culture stewardship program was designed, which consisted of the following: criteria for allowing or restricting urine cultures from catheterized patients, a best practice advisory integrated into the ordering system of an electronic medical record, and a systematic provider education and feedback program to ensure compliance. The system-wide rates of CAUTIs (total CAUTIs/catheter days×1000), changes in intercepts, trends, mortality, length of stay, rates of device utilization, and rates of hospital-onset sepsis were compared for 3 years before and 2 years after the launch of the program. Results: Catheter-associated urinary tract infections progressively decreased after the initiation of the program (B=-0.21, P=.001). When the trends before and after the initiation of the program were compared, there were no statistically significant increases in the ratio of actual to predicted hospital length of stay, intensive care unit length of stay, system-wide mortality, and intensive care unit mortality. Although the rates of hospital-acquired sepsis remained consistent after the implementation of the stewardship program through the first quarter of 2020, the rates showed an increase in the second and third quarters of 2020. However, hospital-onset sepsis events associated with the diagnosis of a urinary tract infection did not increase after the intervention. Conclusion: Urine culture stewardship is a safe and effective way to reduce CAUTIs among patients in a large multihospital health care system. Patient safety indicators appeared unchanged after the implementation of the program, and ongoing follow-up will improve confidence in the long-term sustainability of this strategy.

Implementation of an enhanced recovery protocol in patients undergoing mastectomies for breast cancer: an interrupted time-series design.

Background: We reviewed internal data and the current literature to update our enhanced recovery protocol (ERP) for patients undergoing a total breast mastectomy. Following implementation, the protocol was audited by chart review and compliance reminders were sent through email. Objective: Our primary research aim was to examine the protocol compliance following the update. Our secondary aims were to examine the association between the change in protocol and the rates of postoperative nausea and vomiting (PONV) and hematoma formation requiring reoperation. Methods: We retrospectively obtained data extracted from the electronic medical record. To test for a difference in outcomes before versus after implementation of the protocol we used multivariable logistic regression with the primary comparisons excluding a â€‹± â€‹one-month window and secondary comparisons excluding a â€‹± â€‹three-month window from the date of implementation. Results: Our cohort included 5853 unique patients. Total intravenous anesthesia (TIVA) compliance increased by 17%-52% (P â€‹< â€‹0.001) and the use of intraoperative ketorolac dropped from 44% to nearly no utilization (0.7%; P â€‹< â€‹0.001). The rate of reoperation due to bleeding decreased from 3.6% to 2.6% after implementation with the adjusted decrease being 1.0% (bootstrap 95% CI, 0.11%, 1.9%; P â€‹= â€‹0.053) excluding a â€‹± â€‹1 month window and 1.2% (bootstrap 95% CI, 0.24%, 2.0%; P â€‹= â€‹0.028) excluding a â€‹± â€‹3-month window. The rate of rescue antiemetics dropped by 6.4% (95% CI, 3.9%, 9.0%). Conclusions: We were able to improve compliance for nearly all components of the protocol which translated to a meaningful change in an important patient outcome.

Stroke Features, Risk Factors, and Pathophysiology in SARS-CoV-2-Infected Patients.

OBJECTIVE: To provide a comprehensive description of stroke characteristics, risk factors, laboratory parameters, and treatment in a series of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-infected patients admitted to Mayo Clinic hospitals in Rochester, Minnesota; Jacksonville, Florida; and Phoenix, Arizona, as well as the Mayo Clinic Health System. PATIENTS AND METHODS: We retrospectively identified hospitalized patients in whom stroke and SARS-CoV-2 infection were diagnosed within the same 3-month interval between September 8, 2019, and December 31, 2020. and extracted data on all available variables of interest. We further incorporated our findings into the existing body of basic science research to present a schematic model illustrating the proposed pathogenesis of ischemic stroke in SARS-CoV-2-infected patients. RESULTS: We identified 30 cases during the study period, yielding a 0.5% stroke rate across 6381 SARS-CoV-2-infected hospitalized patients. Strokes were ischemic in 26 of 30 individuals and hemorrhagic in 4 of 30. Traditional risk factors were common including hypertension (24 of 30), hyperlipidemia (18 of 30), smoking history (13 of 30), diabetes (11 of 30), and atrial fibrillation (8 of 30). The most common ischemic stroke mechanisms were cardioembolism (9 of 26) and cryptogenic (9 of 26). Intravenous alteplase and mechanical thrombectomy were administered to 2 of 26 and 1 of 26, respectively. The median (interquartile range) serum C-reactive protein, interleukin-6, D-dimer, fibrinogen, and ferritin levels were 66 (21-210) mg/L, 116 (8-400) pg/mL, 1267 (556-4510) ng/mL, 711 (263-772) mg/dL, and 407 (170-757) mcg/L, respectively, which were elevated in individuals with available results. CONCLUSION: The high prevalence of vascular risk factors and concurrent elevation of proinflammatory and procoagulation biomarkers suggest that there is an interplay between both factors in the pathogenesis of stroke in SARS-CoV-2-infected patients.

Burden of Cardiovascular Disease in Immune Checkpoint Inhibitor-Treated Patients: Reconciling Adjudicated and Coded Outcomes.

Background: There is growing recognition of the risk of cardiovascular (CV) events, particularly myocarditis, in the context of immune checkpoint inhibitor (ICI) therapy; however, true event rates in real-world populations and in the background of CV disease remain uncertain. Objectives: The authors sought to determine CV event occurrence in ICI-treated patients and assess the accuracy of diagnosis by International Classification of Diseases (ICD) code compared with adjudication using established definitions and full-source documentation review. Methods: Electronic medical record extraction identified potential CV events in ICI-treated patients in the University of Colorado Health system. Two cardiologists independently adjudicated events using standardized definitions. Agreement between ICD codes and adjudicated diagnoses was assessed using the kappa statistic. Results: The cohort comprised 1,813 ICI-treated patients with a mean follow-up of 4.6 ± 3.4 years (3.2 ± 3.2 years pre-ICI and 1.4 ± 1.4 years post-ICI). Venous thromboembolic events (VTEs) were the most common event, occurring in 11.4% of patients pre-ICI and 11.3% post-ICI therapy. Post-ICI therapy, the crude rates of myocardial infarction (MI), heart failure, and stroke were 3.0%, 2.8%, and 1.6%, respectively. Six patients (0.3%) developed myocarditis post-ICI. Agreement between the ICD code and adjudication was greater for VTE (κ = 0.82; 95% CI: 0.79-0.85) and MI (κ = 0.74; 95% CI: 0.66-0.82) and worse for myocarditis (κ = 0.50; 95% CI: 0.20-0.80) and heart failure (κ = 0.47; 95% CI: 0.40-0.54). Conclusions: ICD codes correlated well with adjudicated events for VTE and MI, but correlation was worse for heart failure and myocarditis. Adjudication with standardized definitions can enhance the understanding of the incidence of CV events related to ICI therapy.

Clinical decision support for tobacco screening and counseling parents of pediatric patients: A qualitative analysis of pediatric emergency department and urgent care professionals.

Background: Clinical Decision Support Systems (CDSS) embedded into electronic medical records is a best practices approach. However, information is needed on how to incorporate a CDSS to facilitate parental tobacco cessation counseling and reduce child tobacco smoke exposure (TSE) in Pediatric Emergency Department (PED) and Urgent Care (UC) settings. The objective was to explore the barriers and enablers of CDSS use to facilitate child TSE screening and parental tobacco cessation counseling by PED/UC nurses and physicians. Methods: We conducted 29 semi-structured, focused interviews with nurses (n = 17) and physicians (n = 12) at a children's hospital PED/UC. The interview guide included a brief presentation about the design and components of a prior CDSS tobacco intervention. Participants were asked their opinions about CDSS components and recommendations for adapting and implementing the CDSS tobacco intervention in the PED/UC setting. A thematic framework analysis method was used to code and analyze qualitative data. Results: Participant mean (± SD) age was 42 (± 10.1) years; the majority were female (82.8%), non-Hispanic white (93.1%), and never tobacco users (86.2%); all were never electronic cigarette users. Four themes emerged: (1) explore optimal timing to complete CDSS screening and counseling during visits; (2) CDSS additional information and feedback needs; (3) perceived enablers to CDSS use, such as the systematic approach; and (4) perceived barriers to CDSS use, such as lack of time and staff. Conclusions: The CDSS intervention for child TSE screening and parental tobacco cessation during PED/UC visits received endorsements and suggestions for optimal implementation from nurses and physicians.

Development and validation of a machine learning model for classification of next glucose measurement in hospitalized patients.

BACKGROUND: Inpatient glucose management can be challenging due to evolving factors that influence a patient's blood glucose (BG) throughout hospital admission. The purpose of our study was to predict the category of a patient's next BG measurement based on electronic medical record (EMR) data. METHODS: EMR data from 184,361 admissions containing 4,538,418 BG measurements from five hospitals in the Johns Hopkins Health System were collected from patients who were discharged between January 1, 2015 and May 31, 2019. Index BGs used for prediction included the 5th to penultimate BG measurements (N = 2,740,539). The outcome was category of next BG measurement: hypoglycemic (BG  ≤  70 mg/dl), controlled (BG 71-180 mg/dl), or hyperglycemic (BG > 180 mg/dl). A random forest algorithm that included a broad range of clinical covariates predicted the outcome and was validated internally and externally. FINDINGS: In our internal validation test set, 72·8%, 25·7%, and 1·5% of BG measurements occurring after the index BG were controlled, hyperglycemic, and hypoglycemic respectively. The sensitivity/specificity for prediction of controlled, hyperglycemic, and hypoglycemic were 0·77/0·81, 0·77/0·89, and 0·73/0·91, respectively. On external validation in four hospitals, the ranges of sensitivity/specificity for prediction of controlled, hyperglycemic, and hypoglycemic were 0·64-0·70/0·80-0·87, 0·75-0·80/0·82-0·84, and 0·76-0·78/0·87-0·90, respectively. INTERPRETATION: A machine learning algorithm using EMR data can accurately predict the category of a hospitalized patient's next BG measurement. Further studies should determine the effectiveness of integration of this model into the EMR in reducing rates of hypoglycemia and hyperglycemia.

Validity of Methods to Identify Individuals With Lower Extremity Amputation Using Department of Veterans Affairs Electronic Medical Records.

Objectives: To determine the positive predictive value (PPV) of algorithms to identify patients with major (at the ankle or more proximal) lower extremity amputation (LEA) using Department of Veterans Affairs electronic medical records (EMR) and to evaluate whether PPV varies by sex, age, and race. Design: We conducted a validation study comparing EMR determined LEA status to self-reported LEA (criterion standard). Setting: Veterans who receive care at the Department of Veterans Affairs. Participants: We invited a national sample of patients (N=699) with at least 1 procedure or diagnosis code for major LEA to participate. We oversampled women, Black men, and men ≤40 years of age. Interventions: Not applicable. Main Outcome Measure: We calculated PPV estimates and false negative percentages for 7 algorithms using EMR LEA procedure and diagnosis codes relative to self-reported major LEA. Results: A total of 466 veterans self-reported their LEA status (68%). PPVs for the 7 algorithms ranged from 89% to 100%. The algorithm that required a single diagnosis or procedure code had the lowest PPV (89%). The algorithm that required at least 1 procedure code had the highest PPV (100%) but also had the highest proportion of false negatives (66%). Algorithms that required at least 1 procedure code or 2 or more diagnosis codes 1 month to 1 year apart had high PPVs (98%-99%) but varied in terms of false negative percentages. PPV estimates were higher among men than women but did not differ meaningfully by age or race, after accounting for sex. Conclusion: PPVs were higher if 1 procedure or at least 2 diagnosis codes were required; the difference between algorithms was marked by sex. Investigators should consider trade-offs between PPV and false negatives to identify patients with LEA using EMRs.

The association between CPR quality of In-hospital resuscitation and sex: A hypothesis generating, prospective observational study.

Introduction: The relationship between sex and cardiopulmonary resuscitation (CPR) outcomes remains unclear. Particularly, questions remain regarding the potential contribution of unmeasured confounders. We aimed to examine the differences in the quality of chest compression delivered to men and women. Methods: Prospective study of observational data recorded during consecutive resuscitations occurring in a single tertiary center (Feb-1-2015 to Dec-31-2018) with real-time follow-up to hospital discharge. The studied variables included time in CPR, no-flow-time and fraction, compression rate and depth and release velocity. The primary study endpoint was the unadjusted association between patient sex and the chest compression quality (depth and rate). The secondary endpoint was the association between the various components of chest compression quality, sex, and survival to hospital discharge/neurologically intact survival. Results: Overall 260 in-hospital resuscitations (57.7% male patients) were included. Among these 100 (38.5%) achieved return of spontaneous circulation (ROSC) and 35 (13.5%) survived to hospital discharge. Female patients were significantly older. Ischemic heart disease and ventricular arrhythmias were more prevalent among males. Compression depth was greater in female vs male patients (54.9 ± 11.3 vs 51.7 ± 10.9 mm; p = 0.024). Other CPR quality-metrics were similar. The rates of ROSC, survival to hospital discharge and neurologically intact survival did not differ between males and females. Univariate analysis revealed no association between sex, quality metrics and outcomes. Discussion: Women received deeper chest compressions during in-hospital CPR. Our findings require corroboration in larger cohorts but nonetheless underscore the need to maintain high-quality CPR in all patients using real-time feedback devices. Future studies should also include data on ventilation rates and volumes which may contribute to survival outcomes.

The epidemiology and outcomes of adult in-hospital cardiac arrest in a high-income developing country.

Aim: In-Hospital Cardiac Arrest (IHCA) is a significant burden on healthcare worldwide. Outcomes of IHCA are worse in developing countries compared with developed ones. We aimed to study the epidemiology and factors determining outcomes in adult IHCA in a high income developing country. Methods: We abstracted prospectively collected data of adult patients admitted to our institution over a three-year period who suffered a cardiac arrest. We analysed patient demographics, arrest characteristics, including response time, initial rhythm and code duration. Pre-arrest vital signs, primary diagnoses, discharge and functional status, were obtained from the patients' electronic medical records. Results: A total of 447 patients were studied. The IHCA rate was 8.6/1000 hospital admissions. Forty percent (40%) achieved ROSC with an overall survival to discharge rate of 10.8%, of which 59% had a good functional outcome, with a cerebral performance category score of 1 or 2. Fifty-four percent (54%) of patients had IHCA attributed to causes other than cardiac or respiratory. Admission Glasgow Coma Scale (GCS), shockable rhythm and short code duration were significantly associated with survival (p < 0.001). Conclusion: A combination of patient and system-related factors, such as the underlying cause of cardiac arrest and a lack of DNAR policy, may explain the reduced survival rate in our setting compared with developed countries.

Risk associations of long-term HbA1c variability and obesity on cancer events and cancer-specific death in 15,286 patients with diabetes - A prospective cohort study.

BACKGROUND: Obesity, cancer and diabetes frequently coexist. The association of glycaemic variability (GV) and obesity with cancer events had not been explored in diabetes. METHODS: In the prospective Hong Kong Diabetes Register cohort (1995-2019), we used cox proportional hazards models to examine the risk associations of GV with all-site cancer (primary outcome) and cause-specific death (secondary outcome). We also explored the joint association of obesity and GV with these outcomes and site-specific cancer. We expressed GV using HbA1c variability score (HVS) defined as percentage of HbA1c values varying by 0.5% compared with values in preceding visit. FINDINGS: We included 15,286 patients (type 2 diabetes: n=15,054, type 1 diabetes: n=232) with ≥10 years of diabetes and ≥3 years of observation (51.7% men, age (mean±SD): 61.04±10.73 years, HbA1c: 7.54±1.63%, body mass index [BMI]: 25.65±3.92 kg/m2, all-site cancer events: n=928, cancer death events: n=404). There were non-linear relationships between HVS and outcomes but there was linearity within the high and low HVS groups stratified by the median (IQR) value of HVS (42.31 [27.27, 56.28]). In the high HVS group, the adjusted hazard ratios (aHR) of each SD of HVS was 1.15 (95% CI: 1.04, 1.26) for all-site cancer (n=874). The respective aHRs for breast (n=77), liver (n=117) and colorectal (n=184) cancer were 1.44 (1.07, 1.94), 1.37 (1.08, 1.74), and 1.09 (0.90, 1.32). In the high GV group, the respective aHRs were 1.21 (1.06, 1.39), 1.27 (1.15, 1.40), and 1.15 (1.09, 1.22) for cancer, vascular, and noncancer nonvascular death. When stratified by obesity (BMI ≥25 kg/m2), the high HVS & obese group had the highest aHRs of 1.42 (1.16, 1.73), 2.44 (1.24, 4.82), and 2.63 (1.45, 4.74) respectively for all-site, breast, and liver cancer versus the low GV & non-obese group. The respective aHRs were 1.45 (1.07, 1.96), 1.47 (1.12, 1.93), and 1.35 (1.16, 1.57) for cancer, vascular, and noncancer nonvascular death. INTERPRETATION: Obesity and high GV were associated with increased risk of all-site, breast, liver cancer, and cancer-specific death in T2D. FUNDING: The Chinese University of Hong Kong Diabetes Research Fund.

Modernization of a Large Spinal Cord Injuries and Disorders Registry: The Veterans Administration Experience.

Since the 1990s, Veterans Health Administration (VHA) has maintained a registry of Veterans with Spinal Cord Injuries and Disorders (SCI/Ds) to guide clinical care, policy, and research. Historically, methods for collecting and recording data for the VHA SCI/D Registry (VSR) have required significant time, cost, and staffing to maintain, were susceptible to missing data, and caused delays in aggregation and reporting. Each subsequent data collection method was aimed at improving these issues over the last several decades. This paper describes the development and validation of a case-finding and data-capture algorithm that uses primary clinical data, including diagnoses and utilization across 9 million VHA electronic medical records, to create a comprehensive registry of living and deceased Veterans seen for SCI/D services since 2012. A multi-step process was used to develop and validate a computer algorithm to create a comprehensive registry of Veterans with SCI/D whose records are maintained in the enterprise wide VHA Corporate Data Warehouse. Chart reviews and validity checks were used to validate the accuracy of cases that were identified using the new algorithm. An initial cohort of 28,202 living and deceased Veterans with SCI/D who were enrolled in VHA care from 10/1/2012 through 9/30/2017 was validated. Tables, reports, and charts using VSR data were developed to provide operational tools to study, predict, and improve targeted management and care for Veterans with SCI/Ds. The modernized VSR includes data on diagnoses, qualifying fiscal year, recent utilization, demographics, injury, and impairment for 38,022 Veterans as of 11/2/2022. This establishes the VSR as one of the largest ongoing longitudinal SCI/D datasets in North America and provides operational reports for VHA population health management and evidence-based rehabilitation. The VSR also comprises one of the only registries for individuals with non-traumatic SCI/Ds and holds potential to advance research and treatment for multiple sclerosis (MS), amyotrophic lateral sclerosis (ALS), and other motor neuron disorders with spinal cord involvement. Selected trends in VSR data indicate possible differences in the future lifelong care needs of Veterans with SCI/Ds. Future collaborative research using the VSR offers opportunities to contribute to knowledge and improve health care for people living with SCI/Ds.

Clinical Presentations and Outcomes of Patients Receiving Immune Checkpoint Inhibitors Presenting to the Emergency Department.

Immune checkpoint inhibitors (ICIs) are increasingly used in the treatment of cancer. Immune checkpoint inhibitors may cause a wide-range of autoimmune toxicities referred to as immune-related adverse events (irAEs). There is a paucity of data regarding the presentations and outcomes of patients receiving ICIs who seek care in an emergency department (ED). We performed a retrospective review of patients receiving an ICI who presented to a tertiary care ED between May 1, 2017, and April 30, 2018. Data including ED chief complaint, diagnosis, treatment, and disposition were collected along with baseline characteristics and diagnosis at the time of outpatient oncology follow-up. We report descriptive statistics summarizing the characteristics of the cohort. There were 98 ED visits identified among 67 unique patients. Immune-related adverse events were diagnosed in 16 (16.3%) cases. The most common chief complaints within the irAE group were gastrointestinal symptoms 10 (62.5%). Among the 16 confirmed irAE cases, the most common irAE diagnosed was colitis 9 (56.3%). Two (12.5%) patients with irAEs received corticosteroids during their stay in the ED, and 10 (62.5%) patients with irAEs required hospital admission. Emergency medicine providers documented consideration of an irAE in the differential diagnosis in 14.3% of all ED visits and in 43.8% of visits in which an irAE was ultimately diagnosed. Emergency providers should be familiar with ICIs given their expanding use and potential adverse effects to improve early recognition and patient outcomes in ED settings.

Who is asked about alcohol consumption? A retrospective cohort study using a national repository of Electronic Medical Records.

Documentation of alcohol use in electronic medical record (EMR) informs interventions to reduce alcohol-related morbidity and mortality. This retrospective cohort study explored EMR data from 960 primary care providers participating in the Canadian Primary Care Sentinel Surveillance Network to describe documentation of alcohol use (e.g. none, current or past use) in the EMR. Included providers represented 700,620 adult patients from across Canada with an encounter between 2015 and 2018. Bivariate comparisons characterized the patients with, and without, documentation of alcohol use. Multivariate generalized estimating equation models with logit function assessed patient and provider characteristics associated with (1) documentation of alcohol and (2) patients with heightened risk for alcohol-related problems. Forty percent of patients had alcohol use documentation in the EMR. Light alcohol consumption was recorded for 43.6% of these patients. Male patients (OR1.09, CI 1.07-1.12), who were older (OR1.26, CI 1.23-1.30), had more frequent visits to their provider (OR1.11, CI 1.09-1.13) and had hypertension (OR1.07, CI 1.06-1.09) or depression (OR1.07, CI 1.09-1.14) had higher odds of alcohol documentation. There were 4.7% of patients with a record indicating heightened risk for alcohol-related problems. Male patients (OR3.27 CI 3.14-3.4), patients with depression (OR2.01 CI1.93-2.1) and rural residency (OR1.35 CI1.29-1.42) was associated with risk for alcohol-related problems. Heavy alcohol consumption is associated with an increased risk of negative health outcomes, particularly for patients with certain chronic conditions. However, these patients do not have alcohol use consistently documented in the EMR. Strategies should be designed and implemented to support more consistent alcohol-screening among high-risk patients.

Regional Specialty Surgical Practice Efficiencies Gained as a Result of COVID-19.

OBJECTIVE: To identify opportunities for discontinuing elective and nonemergency surgical cases in a regional surgical practice in response to coronavirus disease 2019 (COVID-19). PATIENTS AND METHODS: COVID-19 began to affect surgical practices across the United States in March 2020. On March 17, 2020, all elective and nonemergency surgical care was deferred to prepare the Mayo Clinic Health System sites in northwestern Wisconsin for an anticipated surge in patients with COVID-19. When the decision was made to reactivate the surgical practice, several major structural and operational changes were made to the regional surgical practice to optimize efficiencies. RESULTS: The structural and operational changes implemented during reactivation resulted in improved utilization of surgical resources including improvement in operating room (OR) block utilization, increased available OR time, and increased case volumes. CONCLUSION: Surgical and procedural leaders should consider a limited-time deferral of elective surgical cases to implement widespread OR efficiency strategies. The time selected for deferral of surgical cases should target a period of historically low surgical volume to minimize disruption to patient care and impact on overall OR functions.