Electronic Health Record Cohort Study Research Articles

Risk of Gastric Adenocarcinoma in a Multiethnic Population Undergoing Routine Care: An Electronic Health Records Cohort Study.

Gastric adenocarcinoma (GAC) is often diagnosed at advanced stages and portends a poor prognosis. We hypothesized that electronic health records (EHR) could be leveraged to identify individuals at highest risk for GAC from the population seeking routine care. This was a retrospective cohort study, with endpoint of GAC incidence as ascertained through linkage to an institutional tumor registry. We utilized 2010 to 2020 data from the Palo Alto Medical Foundation, a large multispecialty practice serving Northern California. The analytic cohort comprised individuals ages 40-75 receiving regular ambulatory care. Variables collected included demographic, medical, pharmaceutical, social, and familial data. Electronic phenotyping was based on rule-based methods. The cohort comprised 316,044 individuals and approximately 2 million person-years (p-y) of observation. 157 incident GACs occurred (incidence 7.9 per 100,000 p-y), of which 102 were non-cardia GACs (incidence 5.1 per 100,000 p-y). In multivariable analysis, male sex [HR: 2.2, 95% confidence interval (CI): 1.6-3.1], older age, Asian race (HR: 2.5, 95% CI: 1.7-3.7), Hispanic ethnicity (HR: 1.9, 95% CI: 1.1-3.3), atrophic gastritis (HR: 4.6, 95% CI: 2.2-9.3), and anemia (HR: 1.9, 95% CI: 1.3-2.6) were associated with GAC risk; use of NSAID was inversely associated (HR: 0.3, 95% CI: 0.2-0.5). Older age, Asian race, Hispanic ethnicity, atrophic gastritis, and anemia were associated with non-cardia GAC. Routine EHR data can stratify the general population for GAC risk. Such methods may help triage populations for targeted screening efforts, such as upper endoscopy.

The association between atrial fibrillation and dementia: A UK linked electronic health records cohort study.

We investigated the association between atrial fibrillation (AF) and dementia, and its subtypes (vascular-VaD, Alzheimer, mixed and rare dementia), and identified predictors for dementia in AF patients. The analysis was based on 183,610 patients with new-onset AF and 367,220 non-AF controls in the United Kingdom between 1998 and 2016, identified in three prospectively collected, linked electronic health records sources. Time-to-event (dementia or subtypes) analyses were performed using Cox proportional hazards and weighted Cox. Sub-analyses performed: including & censoring stroke and age (median used as cut-off). Over a median follow-up of 2.67 years (IQR .65-6.02) for AF patients and 5.84 years for non-AF patients (IQR 2.26-11.80), incidence of dementia in the AF cohort was 2.65 per 100 person-years, compared to 2.02 in the non-AF cohort. After adjustment, a significant association was observed between AF and all-cause dementia (HR = 1.38, 95% CI: 1.31-1.45), driven by a strong association with VaD (HR = 1.55, 95% CI: 1.41-1.70). AF was also associated with mixed dementia (HR = 1.26, 95% CI: 1.01-1.56), but we could not confirm an association with Alzheimer (HR = 1.05, 95% CI: .94-1.16) and rare dementia forms (HR = 1.19, 95% CI: .90-1.56). Ischemic stroke (HR = 1.40, 95% CI: 1.26-1.56), subarachnoid haemorrhage (HR = 2.08, 95% CI: 1.47-2.96), intracerebral haemorrhage (HR = 1.95, 95% CI: 1.54-2.48) and diabetes (HR = 1.32, 95% CI: 1.24-1.41) were identified as the strongest predictors of dementia in AF patients. AF patients have an increased risk of dementia, independent of stroke, with highest risk of VaD. Management and prevention of the identified risk factors could be crucial to reduce the increasing burden of dementia.

Occurrence of sleep disorders, anxiety, and depression among patients with mild cognitive impairment and Alzheimer’s disease in diverse populations: A large nationwide electronic health record cohort study

AbstractBackgroundPatients affected with mild cognitive impairment (MCI) and Alzheimer’s disease (AD) often experience anxiety, depression, and sleep disturbances. Some of the published studies reported a higher incidence of these disorders in minority populations. The objectives of this study were to characterize the occurrence of sleep disorders, anxiety, and depression among patients with MCI and/or AD, stratified by gender, age and race/ethnicity in the United States clinical practice setting.MethodA retrospective cohort study was conducted using electronic health records and insurance claims from the Optum® Market Clarity database containing data from more than 63 million people in the US insured through Medicare, Medicaid, and other insurance providers. The study included patients diagnosed, utilizing ICD diagnosis codes, with MCI and/or AD between January 2017 and September 2021. Prevalence of depression, anxiety, and sleep disorders, as well as associated medication prescriptions, were identified in the 12 months before and after MCI and/or AD diagnoses. The occurrence of these diagnoses and prescriptions was evaluated stratified by gender, age, and race/ethnicity.ResultA total of 197,346 patients were diagnosed with MCI (56.9% female, mean age of 70.0 [SD 14.8]) and 144,321 with AD (63.9% female, mean age of 79.3 [SD 8.2]) at the baseline. Overall, a large proportion of MCI and AD cases had depression (pre‐MCI diagnosis: 40.3%; post‐MCI diagnosis: 44.8%; pre‐AD diagnosis: 32.2%; post‐AD diagnosis: 38.3%), anxiety (pre‐MCI diagnosis: 36.2%; post‐MCI diagnosis: 40.2%; pre‐AD diagnosis: 26.4%; post‐AD diagnosis: 31.5%), and sleep disorders (pre‐MCI diagnosis: 36.2%; post‐MCI diagnosis: 39.3%; pre‐AD diagnosis: 23.2%; post‐AD diagnosis: 25.4%). Occurrences of depression and anxiety were highest among females. Among individuals with MCI and/or AD, the gap between the proportion experiencing depression and the proportion prescribed an antidepressant was greatest for African American males and females. This was not observed for anxiety and anti‐anxiety medications.ConclusionA large proportion of individuals with MCI and/or AD also had depression, anxiety, and sleep issues. Further understanding of the populations with these comorbidities and their associated prescriptions by different ages, sex, and races/ethnicities is important when supporting patients with MCI and AD.

Diagnosis patterns among diverse populations with mild cognitive impairment and Alzheimer’s disease: A large nationwide electronic health record cohort study

AbstractBackgroundWith recent advances and emerging research on diagnostic biomarkers and evolving diagnostic criteria, practitioners managing patients with cognitive complaints operate within a complex, changing environment. Although some evidence is available on the importance of prompt diagnosis, little information exists on the diagnostic process used in real‐world settings among diverse populations. This study’s objective was to characterize diagnosis patterns among adults with mild cognitive impairment (MCI), Alzheimer’s disease (AD), and/or dementia in the United States, and stratify by gender, age and race/ethnicity.MethodThis retrospective observational cohort study utilized the Optum® Market Clarity database from January 1, 2017–September 30, 2021. Eligible individuals had ≥1 diagnosis of MCI, AD, and/or dementia in their electronic health records or ≥2 diagnosis codes separated by ≥30 days in claims data, had ≥12 months of continuous enrollment before the cohort entry date, and had ≥1 day of continuous healthcare plan enrollment after the index date. Demographic information and the occurrence of diagnostic tests were also obtained from electronic medical records and insurance claims. Descriptive statistics were calculated and stratified by demographic factors.ResultA total of 179,419 newly diagnosed MCI cases, 81,267 AD cases, and 338,739 dementia cases were identified. The mean age at MCI, AD, or dementia diagnosis was similar overall for males and females. Among Caucasians, the mean age of MCI diagnosis was 70.5±14.8 for females and 69.8±14.5 for males. Among African Americans, the mean age at MCI diagnosis was 66.3±15.4 for females and 63.6±16.1 for males. PET scans and CSF biomarker screening occurred less often than MRI and CT (MCI: PET 0.6%, CSF 1.6%, MRI 16.6%, CT 17.5%; AD: PET 0.5%; CSF 0.9%; MRI 9.0%; CT 18.4%; dementia: PET 0.2%; CSF 1.6%; MRI 9.5%; CT 25.9%).ConclusionThe mean age at MCI, AD, and dementia diagnosis varied by demographic groups. The diagnosis of MCI, AD, and dementia remains largely clinical, with low use of brain imaging or CSF biomarkers. This knowledge of the patient populations and diagnostic experiences in a real‐world setting allows for greater understanding and growth to improve diagnosis across diverse groups and lead to faster support.

Drug utilization among patients with mild cognitive impairment and Alzheimer’s disease in diverse populations: A large nationwide electronic health record cohort study

AbstractBackgroundCholinesterase inhibitors (ChE‐Is), such as donepezil, rivastigmine, and galantamine, and N‐methyl‐d‐aspartate receptor antagonists, such as memantine, are prescribed to decrease symptoms associated with cognitive impairment. Few studies have examined the initiation and utilization of these medications among diverse populations. This study’s objective was to characterize drug utilization among patients with mild cognitive impairment (MCI) and/or Alzheimer’s disease (AD) in the United States and stratify by gender, age and race/ethnicity.MethodThis retrospective cohort study was conducted using the Optum® Market Clarity database, which contains electronic health records and insurance claims. Cases of MCI and AD were identified utilizing the International Classification of Diseases, Ninth and Tenth Revisions diagnosis codes. Drug prescriptions were determined to occur before, on, or after the date of first diagnosis. All cases were required to have ≥12 months of enrollment in the database prior to first diagnosis. The study period was from January 2017 through September 2021. Descriptive statistics were calculated stratified by demographic groups.ResultA large number of cases were identified (197,346 MCI and 144,321 AD cases). Approximately 6% of individuals with MCI had prescriptions for ChE‐Is prior to diagnosis and 14% after diagnosis. For memantine, the proportions with prescriptions before and after MCI diagnosis were 2% and 5%, respectively. Among individuals with AD, prescriptions for ChE‐Is occurred in 22% prior to diagnosis and 32% after diagnosis. Memantine prescriptions increased from 10% prior to AD diagnosis to 18% after. The results did not differ by gender. The highest proportions with ChE‐Is and memantine prescriptions were older age groups <85 years. When examining race/ethnic groups, the proportion of MCI and AD cases with these prescriptions was generally lowest among African Americans.ConclusionAs expected, prescriptions for ChE‐Is and memantine increased after diagnosis. The proportion of MCI and/or AD cases with prescriptions were similar across genders. The proportion with prescriptions was generally lowest among African Americans. Future research into the discrepancy in the occurrence of prescriptions by race/ethnicity as well as the timing of certain prescriptions will be valuable in further understanding the patient population and their access to appropriate medications.

Pre-existing musculoskeletal pain and its association with mortality in newly diagnosed co-morbid conditions: an electronic health record cohort study

Abstract Objective Musculoskeletal pain is a common risk factor for co-morbid conditions and might increase the risk of poor outcomes. The objective was to determine whether patients with pre-existing musculoskeletal pain have an increased risk for mortality following a new diagnosis of a co-morbid condition. Methods Patients aged ≥45 years with a new diagnosis of acute coronary syndrome (ACS), stroke, cancer, dementia or pneumonia recorded in a UK electronic primary care database linked to hospital and mortality records were examined. The association of mortality with musculoskeletal pain (inflammatory conditions, OA and regional pain) was determined. Results The sample size varied from 128 649 (stroke) to 406 289 (cancer) by cohort, with 22–31% having pre-existing musculoskeletal conditions. In the ACS cohort, there was a higher rate of mortality for all musculoskeletal types. There were also higher unadjusted mortality rates in patients with inflammatory arthritis compared with those without musculoskeletal pain in the stroke, cancer and dementia cohorts and for patients with OA in the stroke and cancer cohorts. After adjustment for the number of prescribed medications and age, the increased risk of mortality remained only for patients with inflammatory arthritis in the ACS cohort (adjusted hazard ratio = 1.07; 95% CI 1.03, 1.10). Conclusion Older adults with inflammatory arthritis and OA have increased risk of mortality when they develop a new condition, which seems to be related to the prescription of multiple medicines. Pre-existing musculoskeletal pain is an indicator of a complex patient who is at risk of poorer outcomes at the onset of new illnesses.

TCT-647 Outcomes of Patients Over 80 Years of Age Undergoing Left Atrial Appendage Occlusion: A Propensity-Matched Electronic Health Record Cohort Study

TCT-647 Outcomes of Patients Over 80 Years of Age Undergoing Left Atrial Appendage Occlusion: A Propensity-Matched Electronic Health Record Cohort Study

Trajectories in chronic disease accrual and mortality across the lifespan in Wales, UK (2005-2019), by area deprivation profile: linked electronic health records cohort study on 965,905 individuals.

Understanding and quantifying the differences in disease development in different socioeconomic groups of people across the lifespan is important for planning healthcare and preventive services. The study aimed to measure chronic disease accrual, and examine the differences in time to individual morbidities, multimorbidity, and mortality between socioeconomic groups in Wales, UK. Population-wide electronic linked cohort study, following Welsh residents for up to 20 years (2000-2019). Chronic disease diagnoses were obtained from general practice and hospitalisation records using the CALIBER disease phenotype register. Multi-state models were used to examine trajectories of accrual of 132 diseases and mortality, adjusted for sex, age and area-level deprivation. Restricted mean survival time was calculated to measure time spent free of chronic disease(s) or mortality between socioeconomic groups. In total, 965,905 individuals aged 5-104 were included, from a possible 2.9m individuals following a 5-year clearance period, with an average follow-up of 13.2 years (12.7 million person-years). Some 673,189 (69.7%) individuals developed at least one chronic disease or died within the study period. From ages 10 years upwards, the individuals living in the most deprived areas consistently experienced reduced time between health states, demonstrating accelerated transitions to first and subsequent morbidities and death compared to their demographic equivalent living in the least deprived areas. The largest difference were observed in 10 and 20 year old males developing multimorbidity (-0.45 years (99% CI:-0.45,-0.44)) and in 70 year old males dying after developing multimorbidity (-1.98 years (99% CI:-2.01,-1.95)). This study adds to the existing literature on health inequalities by demonstrating that individuals living in more deprived areas consistently experience accelerated time to diagnosis of chronic disease and death across all ages, accounting for competing risks. UK Medical Research Council, Health Data Research UK, and Administrative Data Research Wales.

Healthcare use attributable to COVID-19: a propensity-matched national electronic health records cohort study of 249,390 people in Wales, UK

BackgroundTo determine the extent and nature of changes associated with COVID-19 infection in terms of healthcare utilisation, this study observed healthcare contact 1 to 4 and 5 to 24 weeks following a COVID-19 diagnosis compared to propensity-matched controls.MethodsTwo hundred forty nine thousand three hundred ninety Welsh individuals with a positive reverse transcription–polymerase chain reaction (RT-PCR) test were identified from data from national PCR test results. After elimination criteria, 98,600 positive individuals were matched to test negative and never tested controls using propensity matching. Cohorts were split on test location. Tests could be taken in either the hospital or community. Controls were those who had tested negative in their respective environments. Survival analysis was utilised for first clinical outcomes which are grouped into primary and secondary. Primary outcomes include post-viral-illness and fatigue as an indication of long-COVID. Secondary outcomes include clinical terminology concepts for embolism, respiratory conditions, mental health conditions, fit notes, or hospital attendance. Increased instantaneous risk for positive individuals was quantified using hazard ratios (HR) from Cox regression, while absolute risk (AR) and relative risk were quantified using life table analysis.ResultsAnalysis was conducted using all individuals and stratified by test location. Cases are compared to controls from the same test location. Fatigue (HR: 1.77, 95% CI: 1.34–2.25, p = < 0.001) and embolism (HR: 1.50, 95% CI: 1.15–1.97, p = 0.003) were more likely to occur in all positive individuals in the first 4 weeks; however, anxiety and depression (HR: 0.83, 95% CI: 0.73–0.95, p = 0.007) were less likely. Positive individuals continued to be more at risk of fatigue (HR: 1.47, 95% CI: 1.24–1.75, p = < 0.001) and embolism (HR: 1.51, 95% CI: 1.13–2.02, p = 0.005) after 4 weeks. All positive individuals are also at greater risk of post-viral illness (HR: 4.57, 95% CI: 1.77–11.80, p = 0.002). Despite statistical association between testing positive and several conditions, life table analysis shows that only a small minority of the study population were affected.ConclusionsCommunity COVID-19 disease is associated with increased risks of post-viral-illness, fatigue, embolism, and respiratory conditions. Despite elevated risks, the absolute healthcare burden is low. Subsequently, either very small proportions of people experience adverse outcomes following COVID-19 or they are not presenting to healthcare.

Factors Associated with Severe COVID-19 Among Patients with Rheumatoid Arthritis: A Large, Nationwide Electronic Health Record Cohort Study in the United States.

To evaluate factors associated with severe coronavirus disease 2019 (COVID-19) among patients with rheumatoid arthritis (RA) in the US. Adults with RA who had a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, based on molecular or antigen test or clinical diagnosis, were identified from the Optum® COVID-19 Electronic Health Record dataset (March 1, 2020-April 28, 2021). The primary outcome was the occurrence of severe COVID-19 (hospitalization or death) within 30days from SARS-CoV-2 infection. Adjusted odds ratios (aOR) and 95% confidence intervals (CI) were estimated using multivariable logistic regression models to assess the association between severe COVID-19 and patient characteristics, including demographics, baseline comorbidities, and recent RA treatments. During the study period, 6769 SARS-CoV-2 infections were identified in patients with RA, among whom 1460 (22%) developed severe COVID-19. Multivariable logistic regression analysis showed that being older, male, and non-White and having diabetes and cardiovascular conditions are associated with greater odds of severe COVID-19. In addition, compared with no use, the adjusted odds of severe COVID-19 were lower with recent use of tumor necrosis factor inhibitors (aOR 0.60, 95% CI 0.41-0.86) and higher with recent use of corticosteroids (aOR 1.38, 95% CI 1.13-1.69) or rituximab (aOR 2.87, 95% CI 1.60-5.14), respectively. Nearly one in five patients with RA developed severe COVID-19 disease within 30days after SARS-CoV-2 infection. In patients with RA, recent use of corticosteroids and rituximab were two factors associated with a greater risk of severe COVID-19 in addition to the risk factors among demographics and comorbidities previously identified in the general population.

Attainment of NICE blood pressure targets among older people with newly diagnosed hypertension: nationwide linked electronic health records cohort study.

it is not known if clinical practice reflects guideline recommendations for the management of hypertension in older people and whether guideline adherence varies according to overall health status. to describe the proportion of older people attaining National Institute for Health and Care Excellence (NICE) guideline blood pressure targets within 1 year of hypertension diagnosis and determine predictors of target attainment. a nationwide cohort study of Welsh primary care data from the Secure Anonymised Information Linkage databank including patients aged ≥65years newly diagnosed with hypertension between 1st June 2011 and 1st June 2016. The primary outcome was attainment of NICE guideline blood pressure targets as measured by the latest blood pressure recording up to 1year after diagnosis. Predictors of target attainment were investigated using logistic regression. there were 26,392 patients (55% women, median age 71 [IQR 68-77] years) included, of which 13,939 (52.8%) attained a target blood pressure within a median follow-up of 9 months. Success in attaining target blood pressure was associated with a history of atrial fibrillation (OR 1.26, 95% CI 1.11, 1.43), heart failure (OR 1.25, 95% CI 1.06, 1.49) and myocardial infarction (OR 1.20, 95% CI 1.10, 1.32), all compared to no history of each, respectively. Care home residence, the severity of frailty, and increasing co-morbidity were not associated with target attainment following adjustment for confounder variables. blood pressure remains insufficiently controlled 1 year after diagnosis in nearly half of older people with newly diagnosed hypertension, but target attainment appears unrelated to baseline frailty, multi-morbidity or care home residence.

Musculoskeletal pain and its impact on prognosis following acute coronary syndrome or stroke: A linked electronic health record cohort study.

Musculoskeletal painful conditions are a risk factor for cardiovascular disease(CVD), but less is known about whether musculoskeletal pain also worsens prognosis from CVD. The objective was to determine whether patients with musculoskeletal pain have poorer prognosis following acute coronary syndrome (ACS) or stroke. The study utilised UK electronic primary care records (CPRD Aurum) with linkage to hospital and mortality records. Patients aged ≥45years admitted to hospital with incident ACS/stroke were categorised by healthcare use for musculoskeletal pain (inflammatory conditions, osteoarthritis [OA], and regional pain) based on primary care consultations in the prior 24months. Outcomes included mortality, length of stay, readmission and management of index condition (ACS/stroke). There were 171,670 patients with incident ACS and 138,512 with stroke; 30% consulted for musculoskeletal pain prior to ACS/stroke and these patients had more comorbidity than those without musculoskeletal pain. Rates of mortality and readmission, and length of stay were higher in those with musculoskeletal pain, particularly OA and inflammatory conditions, in ACS. Readmission was also higher for patients with musculoskeletal pain in stroke. However, increased risks associated with musculoskeletal pain did not remain after adjustment for age and polypharmacy. Inflammatory conditions were associated with increased likelihood of prescriptions for dual anti-platelets (ACS only) and anti-coagulants. Patients with musculoskeletal pain have higher rates of poor outcome from ACS which relates to being older but also increased polypharmacy. The high rates of comorbidity including polypharmacy highlight the complexity of patients with musculoskeletal pain who have new onset ACS/stroke.

Outcomes of coronavirus disease 2019 (COVID-19) and risk factors associated with severe COVID-19 in patients with mature B-cell non-Hodgkin lymphomas: A US electronic health record cohort study.

The objectives of this study were to assess the risk of severe coronavirus disease 2019 (COVID-19) outcomes in patients with mature B-cell non-Hodgkin lymphoma (mature B-cell NHL) compared with other cancers and to identify risk factors associated with severe COVID-19. This study used Optum's electronic health record database. Risk factors were evaluated using multivariable logistic regression. Patients with mature B-cell NHL were more likely to be hospitalized or die from COVID-19 (age- and sex-standardized risk: 15.6%, 2.1%, respectively) than those without cancer (9.5%, 1.2%), or with solid tumors (9.7%, 1.3%). In patients with mature B-cell NHL, factors associated with severe COVID-19 outcomes included: greater age (75-84 years, adjusted odds ratio, 1.6 [95% CI, 1.3-2.0]; ≥85, 2.6 [2.0-3.4]), male sex (1.4 [1.2-1.6]), chronic kidney disease (1.4 [1.1-1.7]), chronic obstructive pulmonary disease (1.3 [1.0-1.6]), type 2 diabetes (1.3 [1.1-1.5]), and receiving treatment for NHL (1.5 [1.1-2.1]). These data suggest that patients with mature B-cell NHL are at a higher risk of severe COVID-19 than patients with solid tumors or without cancer and that risk factors are largely consistent with those in the general population.

Timing of antipsychotics and benzodiazepine initiation during a first episode of psychosis impacts clinical outcomes: Electronic health record cohort study.

The impact of timing of antipsychotics and benzodiazepine treatment during a first episode of psychosis on clinical outcomes is unknown. We present a RECORD-compliant electronic health record cohort study including patients (n = 4,483, aged 14–35) with a primary diagnosis of any non-organic ICD-10 first episode of psychosis at SLAM-NHS between 2007 and 2017. The impact of antipsychotic timing (prescription > 1 week after a first episode of psychosis) was assessed on the primary outcome (risk of any psychiatric inpatient admission over 6 years), and secondary outcomes (cumulative duration of any psychiatric/medical/accident/emergency [A&E] admission over 6 years). The impact of prescribing benzodiazepine before antipsychotic at any point and of treatment patterns (antipsychotic alone, benzodiazepine alone, combination of antipsychotic with benzodiazepine) within the first week after a first episode of psychosis were also assessed. Survival analyses and zero-inflated negative binomial regressions, adjusted for core covariates, and complementary analyses were employed. Antipsychotic prescribed >1 week after a first episode of psychosis did not affect the risk of any psychiatric admission (HR = 1.04, 95% CI = 0.92–1.17, p = 0.557), but increased the duration of any psychiatric (22–28%), medical (78–35%) and A&E (30–34%) admission (months 12–72). Prescribing benzodiazepine before antipsychotic at any point did not affect the risk of any psychiatric admission (HR = 1.03, 95% CI = 0.94–1.13, p = 0.535), but reduced the duration of any psychiatric admission (17–24%, months 12–72), and increased the duration of medical (71–45%, months 12–72) and A&E (26–18%, months 12–36) admission. Prescribing antipsychotic combined with benzodiazepine within the first week after a first episode of psychosis showed better overall clinical outcomes than antipsychotic or benzodiazepine alone. Overall, delaying antipsychotic 1 week after a first episode of psychosis may worsen some clinical outcomes. Early benzodiazepine treatment can be considered with concomitant antipsychotic but not as standalone intervention.

P181 Musculoskeletal pain and prognosis of acute coronary syndrome and cerebrovascular accident: a linked electronic health record cohort study

Abstract Background/Aims There is some evidence of an increased risk of cardiovascular disease in patients with painful musculoskeletal conditions, but it is unclear if musculoskeletal pain also worsens its prognosis. The aim was to determine whether patients with musculoskeletal pain have poorer prognosis following acute coronary syndrome (ACS) or cerebrovascular accident (CVA). Methods Data were obtained from national primary care electronic health records (Clinical Practice Research Datalink; CPRD) with linkage to hospital admissions and mortality records. Patients aged 45 years and over with ACS or CVA recorded in primary care and as the primary reason for hospital admission within ±30 days were included. Patients were grouped by consultations in primary care for painful musculoskeletal conditions (by recency/severity and by condition) in the 24 months prior to ACS or CVA. Severe musculoskeletal pain was defined as prescription of strong analgesia or relevant secondary care referral in the 6 months before ACS or CVA. Short-term outcomes included length of hospital stay, mortality during admission or within 30 days of discharge, and readmission within 30 days of discharge. Management outcomes included procedures during admission and prescriptions for anti-hypertensives, anti-platelets and anti-coagulants in the 3 months following admission. Longer term outcomes included further ACS or CVA and mortality in those who survived &amp;gt;30 days after discharge. Results There were 171,670 patients with ACS (36% females; median age 70 years) and 138,512 patients with CVA (49% females; median age 76 years); 30% of patients in each cohort consulted for a painful musculoskeletal condition prior to admission for ACS or CVA. An increased prevalence of cardiovascular risk factors was observed for patients with severe musculoskeletal pain compared to those without pain for comorbidities such as obesity (ACS 26% vs 16%, CVA 25% vs 15%), diabetes (ACS 24% vs 17%, CVA 23% vs 17%) and lifestyle characteristics such as current/ex-smoker (ACS 58% vs 52%, CVA 52% vs 46%), respectively. Patients with severe musculoskeletal pain had similar lengths of stay, rates of readmission and further ACS/CVA after adjustment for sociodemographic characteristics and comorbidities than those without musculoskeletal pain. They were more likely to receive a procedure during admission for ACS (adjusted risk ratio [aRR] 1.15, 95% confidence interval [CI] 1.03-1.28). Prescriptions for ACS (severe pain aRR 1.01, 95% CI 1.00-1.02; inflammatory condition aRR 1.01, 95% CI 1.00-1.02) and CVA (inflammatory condition aRR 1.04, 95% CI 1.01-1.06) were higher in the 3 months post-admission for those with musculoskeletal pain. Conclusion Musculoskeletal pain did not independently worsen the prognosis following hospitalisation for incident ACS or CVA. The findings are reassuring, but also highlight the need for closer surveillance due to the complexities of patients with severe musculoskeletal presenting with incident ACS or CVA. Disclosure K.J. Mason: None. K.P. Jordan: None. F.A. Achana: None. J. Bailey: None. Y. Chen: None. M. Frisher: None. A.L. Huntley: None. C.D. Mallen: None. M.A. Mamas: None. M. Png: None. S. Tatton: None. S. White: None. J.J. Edwards: None.

Comparison of Patterns of Use and Clinical Outcomes Between Injections of Testosterone Undecanoate and Testosterone Cypionate: An Electronic Health Record Cohort Study

Background: Hypogonadism is characterized by low serum testosterone concentrations and the associated clinical manifestations (e.g., reduced libido, erectile dysfunction, and fatigue); testosterone therapy (TTh) is the primary treatment. This study compared treatment patterns and health outcomes in men using injection TTh with long-acting testosterone undecanoate (TU) injection versus short-acting testosterone cypionate (TC) injection. Methods: A U.S. electronic health records (EHR) database was retrospectively reviewed to identify adult men who had TTh of TU or TC (index treatment) between January 1, 2014, and December 31, 2018, and ≥1 EHR within the 12 months before and 6 months after index treatment. Results: There were 948 patients in the TU cohort and 121,852 in the TC cohort, of whom 419 and 86,219, respectively, were TTh-naive at index treatment. Hypogonadism diagnosis was documented in 81.1% and 58.8% of patients in the overall TU and TC cohorts, respectively. During the 1-year postindex period, higher adherence rates were observed in the TU versus TC cohort during months 7 through 12 (82.0% vs. 40.8%; p < 0.001), and a greater percentage of patients continued to receive TU (41.9%) versus TC (8.2%) for 12 months (p < 0.001). Variability in total testosterone levels was lower for TU versus TC in the TTh-naive population. Conclusions: In this retrospective EHR study, men who received TU demonstrated a two-fold higher adherence, a five-fold improved maintenance on index TTh, and more stable testosterone levels at 1-year follow-up versus men who received TC. More consistent TTh use observed with TU may result in improved health outcomes for men with hypogonadism.

Comparison of risk factors for coronary event in people with unattributed and non-coronary chest pain: an electronic health record cohort study

Abstract Background Patients presenting to primary care with chest pain are often not given a cause. Patients with such unattributed chest pain have an increased risk of future cardiovascular disease (CVD) compared to patients with diagnosed non-coronary chest pain. It is unknown whether risk factors for CVD determined in the general population are the same for the population with unattributed or non-coronary chest pain. Purpose To determine if key risk factors for a coronary event in patients with unattributed chest pain are similar to those for patients with non-coronary chest pain and previously identified in the general population. Methods The study used primary care information from the Clinical Practice Research Datalink Aurum linked to hospital inpatient and mortality data. Patients aged ≥18 years with an incident record of unattributed or non-coronary chest pain in 2002–2018 and no diagnosis of CVD were included. We included as potential risk factors those established for CVD in the general population and non-coronary explanations for chest pain. Flexible parametric models estimated hazard ratios (95% confidence intervals (CI)) between factors and incident coronary event (defined as myocardial infarction, angina, coronary heart disease, percutaneous intervention, and coronary artery bypass graft surgery). Results There were 375,240 patients with unattributed chest pain (53% female: mean age 49; 47% male: mean age 47) and 245,329 patients with non-coronary chest pain (58% female: mean age 47; 42% male: mean age 44). Median duration of follow-up was 5 years. In the unattributed chest pain group, there were 111 (95% CI: 109, 112) and 140 (138, 142) coronary events per 10,000 person-years in females and males, respectively. Lower rates of coronary event were observed in the non-coronary chest pain group (females: 73 (72, 75); males: 96 (94, 98)). Within females (Figure), in both chest pain groups the strongest risk factors were type I and type II diabetes, atrial fibrillation, and hypertension whereas no associations were observed for migraine and chronic kidney disease. Whilst alternative explanations for non-coronary chest pain also increased the risk of coronary events, associations were less strong than for established general population risk factors. Similar findings were found in males although family history of coronary event was a stronger risk factor in the non-coronary chest pain group compared to the unattributed chest pain group. Conclusions The pool of factors found to increase the risk of coronary events in patients presenting with recorded unattributed or non-coronary chest pain are similar but not identical to those identified for the general population. Further research is needed to develop prognostic models to identify patients at the most risk of a coronary event as models developed in the general population are unlikely to be applicable given the increased underlying risk of coronary events in these populations. Funding Acknowledgement Type of funding sources: Foundation. Main funding source(s): Study funded by the British Heart Foundation, reference PG/19/46/34307. KJ also supported by matched funding awarded to the NIHR Applied Research Collaboration (West Midlands). Risk factors for coronary event

Evolving phenotypes of non-hospitalized patients that indicate long COVID

BackgroundFor some SARS-CoV-2 survivors, recovery from the acute phase of the infection has been grueling with lingering effects. Many of the symptoms characterized as the post-acute sequelae of COVID-19 (PASC) could have multiple causes or are similarly seen in non-COVID patients. Accurate identification of PASC phenotypes will be important to guide future research and help the healthcare system focus its efforts and resources on adequately controlled age- and gender-specific sequelae of a COVID-19 infection.MethodsIn this retrospective electronic health record (EHR) cohort study, we applied a computational framework for knowledge discovery from clinical data, MLHO, to identify phenotypes that positively associate with a past positive reverse transcription-polymerase chain reaction (RT-PCR) test for COVID-19. We evaluated the post-test phenotypes in two temporal windows at 3–6 and 6–9 months after the test and by age and gender. Data from longitudinal diagnosis records stored in EHRs from Mass General Brigham in the Boston Metropolitan Area was used for the analyses. Statistical analyses were performed on data from March 2020 to June 2021. Study participants included over 96 thousand patients who had tested positive or negative for COVID-19 and were not hospitalized.ResultsWe identified 33 phenotypes among different age/gender cohorts or time windows that were positively associated with past SARS-CoV-2 infection. All identified phenotypes were newly recorded in patients’ medical records 2 months or longer after a COVID-19 RT-PCR test in non-hospitalized patients regardless of the test result. Among these phenotypes, a new diagnosis record for anosmia and dysgeusia (OR 2.60, 95% CI [1.94–3.46]), alopecia (OR 3.09, 95% CI [2.53–3.76]), chest pain (OR 1.27, 95% CI [1.09–1.48]), chronic fatigue syndrome (OR 2.60, 95% CI [1.22–2.10]), shortness of breath (OR 1.41, 95% CI [1.22–1.64]), pneumonia (OR 1.66, 95% CI [1.28–2.16]), and type 2 diabetes mellitus (OR 1.41, 95% CI [1.22–1.64]) is one of the most significant indicators of a past COVID-19 infection. Additionally, more new phenotypes were found with increased confidence among the cohorts who were younger than 65.ConclusionsThe findings of this study confirm many of the post-COVID-19 symptoms and suggest that a variety of new diagnoses, including new diabetes mellitus and neurological disorder diagnoses, are more common among those with a history of COVID-19 than those without the infection. Additionally, more than 63% of PASC phenotypes were observed in patients under 65 years of age, pointing out the importance of vaccination to minimize the risk of debilitating post-acute sequelae of COVID-19 among younger adults.

Association of Antiosteoporotic Medication Bisphosphonates and Denosumab with Primary Breast Cancer: An Electronic Health Record Cohort Study.

Background: The risks of osteoporosis and breast cancer are increasing in elderly women. Bisphosphonates and denosumab are recommended for treatment of osteoporosis. They have different and overlapping pharmacodynamics and previous studies have shown conflicting results regarding their risk association with breast cancer. We intend to further look into this issue through a comparative study.Methods: Electronic health records of 91,626 women older than 50 years with no previous history of malignancy and no nonbreast cancer during follow-up were retrieved from southern California and retrospectively analyzed using univariate, bivariate, and log-rank tests. Medication use, breast cancer risk, and associated demographic and clinical history were assessed.Results: Over an average of 3.6 years follow-up, the breast cancer relative risks (RRs) counted after 365 days of latency are 1.12 (95% confidence interval [CI]: 0.64–1.97) for denosumab ever users and 0.37 (95% CI: 0.21–0.66) for bisphosphonates ever users, when covariates are comparable. The significant difference is supported by the Log-rank test (p = 0.0004). Excluding statins coprescribers, the breast cancer RR is 1.31 (0.71, 2.43) in denosumab group and 0.26 (0.11, 0.62) in bisphosphonates group. There is a reduced RR in statins ever users (0.47, 95% CI: 0.38–0.58), and the breast cancer risk difference is not significant between concomitant denosumab/statins and bisphosphonates/statins ever users with RR 0.65 (0.16, 2.58) versus 0.55 (0.26, 1.16), p = 0.692.Conclusions: Our data support an association of lower breast cancer risk with bisphosphonates use in elderly women. We did not observe a lower breast cancer risk in denosumab group; however, our data revealed a potential lower breast cancer risk in denosumab users with concurrent statins use and this requires further study.

Developing and Validating an Individualized Clinical Prediction Model to Forecast Psychotic Recurrence in Acute and Transient Psychotic Disorders: Electronic Health Record Cohort Study.

Acute and transient psychotic disorders (ATPDs) include short-lived psychotic episodes with a high probability of developing psychotic recurrences. Clinical care for ATPD is currently limited by the inability to predict outcomes. Real-world electronic health record (EHR)-based retrospective cohort study STROBE/RECORD compliant included all individuals accessing the South London and Maudsley NHS Trust between 2006 and 2017 and receiving a first diagnosis of ATPD (F23, ICD-10). After imputing missing data, stepwise and LASSO Cox regression methods employing a priori predictors (n = 23) were compared to develop and internally validate an individualized risk prediction model to forecast the risk of psychotic recurrences following TRIPOD guidelines. The primary outcome was prognostic accuracy (area under the curve [AUC]). 3018 ATPD individuals were included (average age = 33.75 years, 52.7% females). Over follow-up (average 1042 ± 1011 days, up to 8 years) there were 1160 psychotic recurrences (events). Stepwise (n = 12 predictors) and LASSO (n = 17 predictors) regression methods yielded comparable prognostic accuracy, with an events per variable ratio >100 for both models. Both models showed an internally validated adequate prognostic accuracy from 4 years follow-up (AUC 0.70 for both models) and good calibration. A refined model was adapted in view of the new ICD-11 criteria on 307 subjects with polymorphic ATPD, showing fair prognostic accuracy at 4 years (AUC: stepwise 0.68; LASSO 0.70). This study presents the first clinically based prediction model internally validated to adequately predict long-term psychotic recurrence in individuals with ATPD. The model can be automatable in EHRs, supporting further external validations and refinements to improve its prognostic accuracy.