Weight management with orlistat in type 2 diabetes: an electronic health records study.

BACKGROUND: Orlistat is recommended as an adjunct to diet and exercise for weight loss in the treatment of type 2 diabetes mellitus (T2DM). AIM: To explore associations between patient characteristics and orlistat prescribing, and to determine associations of orlistat with weight loss in T2DM and prediabetes. DESIGN AND SETTING: Cohort study using anonymised health records from a UK database of general practice. METHOD: The UK Clinical Practice Research Datalink (CPRD) Aurum database was searched to compile a cohort of patients aged ≥18 years, first diagnosed with T2DM or prediabetes in 2016 or 2017. Once the data had been collated, multivariable logistic regression models were used to determine associations with starting orlistat and stopping it early (<12 weeks of prescriptions) and orlistat's associations with weight loss in those who had not been prescribed second-line antidiabetic medications. RESULTS: Out of 100 552 patients with incident T2DM or prediabetes, 655 (0.8%) patients with T2DM and 128 (0.7%) patients with prediabetes were prescribed orlistat. Younger people, females, those in areas of deprivation, current smokers, those coprescribed metformin, and those recorded as having hypertension were statistically significantly more likely to be prescribed orlistat; higher baseline glycated haemoglobin levels were associated with early stopping. In comparison with patients not on orlistat, those who continued using it for ≥12 weeks were more likely to lose ≥5% weight (adjusted odds ratio [AOR] 1.69, 95% confidence interval [CI] = 1.07 to 2.67) but those who stopped orlistat early were less likely to lose ≥5% weight (AOR 0.56, 95% CI = 0.29 to 1.09). CONCLUSION: Orlistat was significantly associated with weight loss in patients with T2DM and prediabetes when taken for at least 12 weeks; however, it was infrequently prescribed and often taken for <12 weeks. Orlistat may be a useful adjunct to lifestyle modifications for patients with T2DM and prediabetes, but barriers to continued use means it may not be effective for everyone in managing weight loss.

Chronic pain-mental health comorbidity and excess prevalence of health risk behaviours: a cross-sectional study.

BACKGROUND: Chronic musculoskeletal pain and anxiety/depression are significant public health problems. We hypothesised that adults with both conditions constitute a group at especially high risk of future cardiovascular health outcomes. AIM: To determine whether having comorbid chronic musculoskeletal pain and anxiety/depression is associated with the excess prevalence of selected known cardiovascular health risk behaviours. METHOD: A cross-sectional survey of adults aged 35+ years randomly sampled from 26 GP practice registers in West Midlands, England. Respondents were classified into four groups based on self-reported presence/absence of chronic musculoskeletal pain (pain present on most days for six months) and anxiety or depression (Hospital Anxiety and Depression Score 11+). Standardised binomial models were used to estimate standardised prevalence ratios and prevalence differences between the four groups in self-reported obesity, tobacco smoking, physical inactivity, and unhealthy alcohol consumption after controlling for age, sex, ethnicity, deprivation, employment status and educational attainment. The excess prevalence of each risk factor in the group with chronic musculoskeletal pain-anxiety/depression comorbidity was estimated. FINDINGS: Totally, 14 519 respondents were included, of whom 1329 (9%) reported comorbid chronic musculoskeletal pain-anxiety/depression, 3612 (25%) chronic musculoskeletal pain only, 964 (7%) anxiety or depression only, and 8614 (59%) neither. Those with comorbid chronic musculoskeletal pain-anxiety/depression had the highest crude prevalence of obesity (41%), smoking (16%) and physical inactivity (83%) but the lowest for unhealthy alcohol consumption (18%). After controlling for covariates, the standardised prevalence ratios and differences for the comorbid group compared with those with neither chronic musculoskeletal pain nor anxiety/depression were as follows: current smoking [1.86 (95% CI 1.58, 2.18); 6.8%], obesity [1.93 (1.76, 2.10); 18.9%], physical inactivity [1.21 (1.17, 1.24); 14.3%] and unhealthy alcohol consumption [0.81 (0.71, 0.92); -5.0%]. The standardised prevalences of smoking and obesity in the comorbid group exceeded those expected from simple additive interaction.

Pregnancy-Associated Cancer: A Systematic Review and Meta-Analysis.

This study aimed to systematically evaluate and quantify the risk of adverse maternal and neonatal outcomes in patients with pregnancy-associated cancer (PAC). This study was conducted from February 13, 2021, through July 24, 2023. A systematic search of MEDLINE, Embase, Web of Science Core Collection, Cochrane Database of Systematic Reviews, and Cochrane Central Register of Controlled Trials was conducted to identify studies reporting outcomes for patients with PAC. The study was registered on PROSPERO. Two reviewers independently conducted screening, data extraction, and quality assessment. The associations were quantified using random-effects meta-analysis. The initial search produced 29,401 titles and abstracts, after which 147 unique full-text articles were screened, of which 22 articles with 59,190 pregnancies with PAC from 70,097,167 births were included in the meta-analysis. Women with PAC were at significantly increased risk of cesarean deliveries (risk ratio [RR], 1.58; 95% CI, 1.31-1.89), preterm birth (RR, 3.07; 95% CI, 2.37-3.98), venous thromboembolism (RR, 6.76; 95% CI, 5.08-8.99), and maternal death (RR, 41.58; 95% CI, 20.38-84.83). The only outcome with reduced risk was instrumental mode of delivery (RR, 0.67; 95% CI, 0.52-0.87). Pregnancy-associated cancer increases risk of adverse outcomes, including a 7-fold risk of venous thromboembolism and a 42-fold risk of maternal death. Further research is required to better understand the mechanisms leading to these adverse outcomes, especially for women who are not diagnosed until the postpartum period. Affected women should have counseling regarding their increased risk of adverse outcomes.

Perceived Epidemic Impacts and Mental Symptom Trajectories in Adolescents Back to School After COVID-19 Restriction: A Longitudinal Latent Class Analysis.

PURPOSE: This study aimed to assess the impacts of COVID-19 epidemic on various life aspects and identify the trajectories of common mental symptoms among adolescents back to school after COVID-19 restriction. Furthermore, potential predictors associated with those trajectories were investigated. METHODS: This longitudinal study, with five data collection points and a total follow-up of 68.4 days, was conducted among 1,393 junior high school students (mean age: 13.8 years; male, 53.3%) shortly after school reopened during the first COVID-19 outbreak in China. Questions on sociodemographics and perceived COVID-19 epidemic impacts were completed at the baseline while the Patient Health Questionnaire, Generalized Anxiety Disorder Scale, and Insomnia Severity Index were measured throughout the study for depression, anxiety, and insomnia symptoms, respectively. Trajectories of mental symptoms were classified by longitudinal latent class analysis, and the associated predictive factors were identified with multinomial regression modelling. RESULTS: Our study revealed high but steadily declining prevalence of depression, anxiety, and insomnia symptoms (p trend < .001). Five distinctive trajectories were identified for both depression and anxiety ("resistance," "low symptom," "recovery," "chronic dysfunction," and "delayed dysfunction") and three for insomnia ("resistance," "low symptom," and "chronic dysfunction"). Besides the significant association between the mental symptom trajectories and students' perceived COVID-19 impacts on study practice, family income, and family relationship, female gender, lower school grade, and higher body mass index were found to be predictive of high severity trajectories. DISCUSSION: Our findings may help locate the most psychologically vulnerable adolescents during the epidemic and foster better implementation of targeted intervention.

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

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.

Clinical effectiveness of pharmacological and non-pharmacological treatments for the management of anxiety in community dwelling people living with dementia: A systematic review and meta-analysis.

People living with dementia commonly experience anxiety, which is often challenging to manage. We investigated the effectiveness of treatments for the management of anxiety in this population. We conducted a systematic review and meta-analysis of randomised controlled trials, and searched EMBASE, CINAHL, MEDLINE and PsycInfo. We estimated standardised mean differences at follow-up between treatments relative to control groups and pooled these across studies using random-effects models where feasible. Thirty-one studies were identified. Meta-analysis demonstrated non-pharmacological interventions were effective in reducing anxiety in people living with dementia, compared to care as usual or active controls. Specifically, music therapy (SMD-1.92(CI:-2.58,-1.25)), muscular approaches (SMD-0.65(CI:-1.02,-0.28)) and stimulating cognitive and physical activities (SMD-0.31(CI:-0.53,-0.09)). Pharmacological interventions with evidence of potential effectiveness included Ginkgo biloba, probiotics, olanzapine, loxapine and citalopram compared to placebo, olanzapine compared to bromazepam and buspirone and risperidone compared to haloperidol. Meta-analyses were not performed for pharmacological interventions due to studies' heterogeneity. This has practice implications when promoting the use of more non-pharmacological interventions to help reduce anxiety among people living with dementia.

Analgesic prescribing in patients with inflammatory arthritis in England: observational studies in the Clinical Practice Research Datalink.

OBJECTIVES: Despite little evidence that analgesics are effective in inflammatory arthritis (IA), studies report substantial opioid prescribing. The extent this applies to other analgesics is uncertain. We undertook a comprehensive evaluation of analgesic prescribing in patients with IA in the Clinical Practice Research Datalink Aurum to evaluate this. METHODS: From 2004 to 2020, cross-sectional analyses evaluated analgesic prescription annual prevalence in RA, PsA and axial spondyloarthritis (axSpA), stratified by age, sex, ethnicity, deprivation and geography. Joinpoint regression evaluated temporal prescribing trends. Cohort studies determined prognostic factors at diagnosis for chronic analgesic prescriptions using Cox proportional hazards models. RESULTS: Analgesic prescribing declined over time but remained common: 2004 and 2020 IA prescription prevalence was 84.2/100 person-years (PY) (95% CI 83.9, 84.5) and 64.5/100 PY (64.2, 64.8), respectively. In 2004, NSAIDs were most prescribed (56.1/100 PY; 55.8, 56.5), falling over time. Opioids were most prescribed in 2020 (39.0/100 PY; 38.7, 39.2). Gabapentinoid prescribing increased: 2004 prevalence 1.1/100 PY (1.0, 1.2); 2020 prevalence 9.9/100 PY (9.7, 10.0). Most opioid prescriptions were chronic (2020 prevalence 23.4/100 PY [23.2, 23.6]). Non-NSAID analgesic prescribing was commoner in RA, older people, females and deprived areas/northern England. Conversely, NSAID prescribing was commoner in axSpA/males, varying little by deprivation/geography. Peri-diagnosis was high-risk for starting chronic opioid/NSAID prescriptions. Prognostic factors for chronic opioid/gabapentinoid and NSAID prescriptions differed, with NSAIDs having no consistently significant association with deprivation (unlike opioids/gabapentinoids). CONCLUSION: IA analgesic prescribing of all classes is widespread. This is neither evidence-based nor in line with guidelines. Peri-diagnosis is an opportune moment to reduce chronic analgesic prescribing.

Estimating the direct healthcare utilization and cost of musculoskeletal pain among people with comorbidity: a retrospective electronic health record study.

OBJECTIVE: To investigate the impact of pre-existing painful musculoskeletal conditions on healthcare utilization and costs among patients with five common conditions: acute coronary syndrome (ACS), stroke, cancer, dementia and pneumonia. METHODS: Using primary and secondary care services data from electronic health records, a negative binomial regression model was used to compare resource use while a two-part model was used to compare costs across the five conditions, between those with and without a pre-existing musculoskeletal pain. RESULTS: The study included 760,792 patients (144,870 with ACS, 121,208 with stroke, 231,702 with cancer, 134,638 with dementia, and 128,374 with pneumonia) in the complete case analysis. Pre-existing musculoskeletal pain had an incident rate ratio of above one for most healthcare resources over the follow-up period and an adjusted additional mean cumulative total healthcare costs per patient of £674.59 (95%CI 570.30 to 778.87) for ACS; £613.34 (95%CI 496.87 to 729.82) for stroke; £459.26 (95%CI 376.60 to 541.91) for cancer; and £766.23 (95%CI 655.06 to 877.39) for dementia over five years after diagnosis; and £200.85 (95%CI 104.16 to 297.55) for pneumonia over one year after diagnosis compared to those without musculoskeletal pain. CONCLUSION: This study highlights that individuals with painful musculoskeletal conditions have higher healthcare utiliszation and costs than those without painful musculoskeletal conditions. Given the high occurrence of musculoskeletal pain in patients with other conditions, effective management strategies are needed to reduce the burden on healthcare resources.

Trends in consultations and prescribing for rheumatic and musculoskeletal diseases: an electronic primary care records study.

BACKGROUND: Rheumatic and musculoskeletal diseases (RMDs) are common and generally managed in primary care through supported self-care, physiotherapy, analgesia, and specialist referral where indicated. The COVID-19 pandemic led to abrupt changes in primary care delivery, including moves to remote consulting, pauses on group-based self-care, and restricted referrals. AIM: To describe how patterns of UK primary healthcare consultations and analgesic prescribing relating to RMDs changed during the COVID-19 pandemic. DESIGN AND SETTING: Observational study using routinely collected national primary care electronic health record data from the Clinical Practice Research Datalink between 1 April 2017 and 1 October 2021. METHOD: RMD and analgesic SNOMED-CT codes were derived through consensus and published work. Prevalent and incident RMD-related consultations were determined, and RMD consultations matched to prevalent and incident analgesia prescriptions. Joinpoint regression was used to describe trends over time. RESULTS: Prevalent and incident RMD consultations steadily increased until March 2020 when a substantial drop occurred as pandemic- related restrictions were introduced; levels had not recovered to pre-pandemic highs by October 2021. While incident and prevalent analgesic prescribing also reduced around March 2020, the proportion of patients with an RMD consultation prescribed any analgesic increased from 27.72% in February 2020 to 38.15% in April 2020, with increases across all analgesic groups. A higher proportion of strong opioid prescriptions was seen in the most deprived areas. CONCLUSION: Pandemic-associated restrictions led to fewer primary care consultations and relative increases in analgesic prescribing, including strong opioids, for RMDs in the UK. Policymakers must consider the impact of these changes in future healthcare resource planning.

Where does it hurt? Small area estimates and inequality in the prevalence of chronic pain.

BACKGROUND: Chronic pain affects up to half of UK adults, impacting quality of life and demand on local health services. Whilst local health planning is currently based on subnational prevalence estimates, associations between pain and sociodemographic characteristics suggest that inequalities in the prevalence of chronic and high-impact chronic pain between neighbourhoods within local authorities are likely. We aimed to derive lower super output area (LSOA) estimates of the prevalence of chronic and high-impact chronic pain. METHODS: Presence of self-reported chronic and high-impact chronic pain were measured in adults aged 35+ in North Staffordshire and modelled using multilevel regression as a function of demographic and geographic predictors. Multilevel model predictions were post-stratified using the North Staffordshire age-sex population structure and LSOA demographic characteristics to estimate the prevalence of chronic and high-impact chronic pain in 298 LSOAs, corrected for ethnic diversity underrepresented in the data. Confidence intervals were generated for high-impact chronic pain using bootstrapping. RESULTS: Data were analysed from 4162 survey respondents (2358 women, 1804 men). The estimated prevalence of chronic and high-impact chronic pain in North Staffordshire LSOAs ranged from 18.6% to 50.1% and 6.18 [1.71, 16.0]% to 33.09 [13.3, 44.7]%, respectively. CONCLUSIONS: Prevalence of chronic and high-impact chronic pain in adults aged 35+ varies substantially between neighbourhoods within local authorities. Further insight into small-area level variation will help target resources to improve the management and prevention of chronic and high-impact chronic pain to reduce the impact on individuals, communities, workplaces, services and the economy. SIGNIFICANCE: Post-stratified multilevel model predictions can produce small-area estimates of pain prevalence and impact. The evidence of substantial variation indicates a need to collect local-level data on pain and its impact to understand health needs and to guide interventions.

The impact of the COVID-19 pandemic on referrals to musculoskeletal services from primary care and subsequent incidence of inflammatory rheumatic musculoskeletal disease: an observational study.

Objective: The aim was to describe the impact of the COVID-19 pandemic upon referral patterns and incident diagnosis of inflammatory rheumatic and musculoskeletal diseases (iRMDs). Methods: UK primary care data were used to describe referral patterns for patients with musculoskeletal conditions. Trends in referrals to musculoskeletal services and incident diagnoses of iRMDs (specifically, RA and JIA) were described using Joinpoint Regression and comparisons made between key pandemic time periods. Results: The incidence of RA and JIA reduced by -13.3 and -17.4% per month, respectively, between January 2020 and April 2020, then increased by 1.9 and 3.7% per month, respectively, between April 2020 and October 2021. The incidence of all diagnosed iRMDs was stable until October 2021. Referrals decreased between February 2020 and May 2020 by -16.8% per month from 4.8 to 2.4% in patients presenting with a musculoskeletal condition. After May 2020, referrals increased significantly (16.8% per month) to 4.5% in July 2020. The time from first musculoskeletal consultation to RA diagnosis and from referral to RA diagnosis increased in the early pandemic period [rate ratio (RR) 1.11, 95% CI 1.07, 1.15 and RR 1.23, 95% CI 1.17, 1.30, respectively] and remained consistently higher in the late pandemic period (RR 1.13, 95% CI 1.11, 1.16 and RR 1.27, 95% CI 1.23, 1.32, respectively), compared with the pre-COVID-19 pandemic period. Conclusion: Patients with underlying RA and JIA that developed during the pandemic might be yet to present or might be in the referral and/or diagnostic process. Clinicians should remain alert to this possibility, and commissioners should be aware of these findings, enabling the appropriate planning and commissioning of services.

Determining cardiovascular risk in patients with unattributed chest pain in UK primary care: an electronic health record study.

AIMS: Most adults presenting in primary care with chest pain symptoms will not receive a diagnosis ('unattributed' chest pain) but are at increased risk of cardiovascular events. To assess within patients with unattributed chest pain, risk factors for cardiovascular events and whether those at greatest risk of cardiovascular disease can be ascertained by an existing general population risk prediction model or by development of a new model. METHODS AND RESULTS: The study used UK primary care electronic health records from the Clinical Practice Research Datalink linked to admitted hospitalizations. Study population was patients aged 18 plus with recorded unattributed chest pain 2002-2018. Cardiovascular risk prediction models were developed with external validation and comparison of performance to QRISK3, a general population risk prediction model. There were 374 917 patients with unattributed chest pain in the development data set. The strongest risk factors for cardiovascular disease included diabetes, atrial fibrillation, and hypertension. Risk was increased in males, patients of Asian ethnicity, those in more deprived areas, obese patients, and smokers. The final developed model had good predictive performance (external validation c-statistic 0.81, calibration slope 1.02). A model using a subset of key risk factors for cardiovascular disease gave nearly identical performance. QRISK3 underestimated cardiovascular risk. CONCLUSION: Patients presenting with unattributed chest pain are at increased risk of cardiovascular events. It is feasible to accurately estimate individual risk using routinely recorded information in the primary care record, focusing on a small number of risk factors. Patients at highest risk could be targeted for preventative measures.

It is known that patients with chest pain without a recognized cause are at increased risk of future cardiovascular events (for example, heart disease) and so this study aimed to find out whether those patients at greatest risk could be determined using information in their health records. It is possible to accurately estimate a person's risk of future cardiovascular events using the information entered into their health records, and this risk can be estimated using only a small number of factors.Patients at highest risk could now be targeted for management to help prevent future cardiovascular events.

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

OBJECTIVE: 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. METHODS: The study utilised UK electronic primary care records (CPRD Aurum) with linkage to hospital and mortality records. Patients aged ≥45 years 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 24 months. Outcomes included mortality, length of stay, readmission and management of index condition (ACS/stroke). RESULTS: 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. CONCLUSIONS: 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.

Persistent inequalities in consultation incidence and prevalence of low back pain and osteoarthritis in England between 2004 and 2019.

Objective: We wanted to determine whether socioeconomic inequalities in primary care consultation rates for two major, disabling musculoskeletal conditions in England narrowed or widened between 2004 and 2019. Methods: We analysed data from Clinical Practice Research Datalink Aurum, a national general practice electronic health records database, linked to national deprivation ranking of each patient's registered residential postcode. For each year, we estimated the age- and sex-standardized consultation incidence and prevalence for low back pain and OA for the most deprived 10% of neighbourhoods through to the least deprived 10%. We then calculated the slope index of inequality and relative index of inequality overall and by sex, age group and geographical region. Results: Inequalities in low back pain incidence and prevalence over socioeconomic status widened between 2004 and 2013 and stabilized between 2014 and 2019. Inequalities in OA incidence remained stable over socioeconomic status within the study period, whereas inequalities in OA prevalence widened markedly over socioeconomic status between 2004 and 2019. The widest gap in low back pain incidence and prevalence over socioeconomic status was observed in populations resident in northern English regions and London and in those of working age, peaking at 45-54 years. Conclusion: We found persistent, and generally increasing, socioeconomic inequalities in the rate of adults presenting to primary care in England with low back pain and OA between 2004 and 2019.

Estimating disease burden using national linked electronic health records: a study using an English population-based cohort.

Background: Electronic health records (EHRs) have the potential to be used to produce detailed disease burden estimates. In this study we created disease estimates using national EHR for three high burden conditions, compared estimates between linked and unlinked datasets and produced stratified estimates by age, sex, ethnicity, socio-economic deprivation and geographical region. Methods: EHRs containing primary care (Clinical Practice Research Datalink), secondary care (Hospital Episode Statistics) and mortality records (Office for National Statistics) were used. We used existing disease phenotyping algorithms to identify cases of cancer (breast, lung, colorectal and prostate), type 1 and 2 diabetes, and lower back pain. We calculated age-standardised incidence of first cancer, point prevalence for diabetes, and primary care consultation prevalence for low back pain. Results: 7.2 million people contributing 45.3 million person-years of active follow-up between 2000-2014 were included. CPRD-HES combined and CPRD-HES-ONS combined lung and bowel cancer incidence estimates by sex were similar to cancer registry estimates. Linked CPRD-HES estimates for combined Type 1 and Type 2 diabetes were consistently higher than those of CPRD alone, with the difference steadily increasing over time from 0.26% (2.99% for CPRD-HES vs. 2.73 for CPRD) in 2002 to 0.58% (6.17% vs. 5.59) in 2013. Low back pain prevalence was highest in the most deprived quintile and when compared to the least deprived quintile the difference in prevalence increased over time between 2000 and 2013, with the largest difference of 27% (558.70 per 10,000 people vs 438.20) in 2013. Conclusions: We use national EHRs to produce estimates of burden of disease to produce detailed estimates by deprivation, ethnicity and geographical region. National EHRs have the potential to improve disease burden estimates at a local and global level and may serve as more automated, timely and precise inputs for policy making and global burden of disease estimation.

Rheumatoid arthritis, psoriatic arthritis, and axial spondyloarthritis epidemiology in England from 2004 to 2020: An observational study using primary care electronic health record data.

Background: Contemporary data on rheumatoid arthritis (RA), psoriatic arthritis (PsA) and axial spondyloarthritits (SpA) epidemiology in England are lacking. This knowledge is crucial to planning healthcare services. We updated algorithms defining patients with diagnoses of RA, PsA, and axial SpA in primary care and applied them to describe their incidence and prevalence in the Clinical Practice Research Datalink Aurum, an electronic health record (EHR) database covering ∼20% of England. Methods: Algorithms for ascertaining patients with RA, axial SpA, and PsA diagnoses validated in primary care EHR databases using Read codes were updated (to account for the English NHS change to SNOMED CT diagnosis coding) and applied. Updated diagnosis and synthetic disease-modifying anti-rheumatic drug code lists were devised by rheumatologists and general practitioners. Annual incidence/point-prevalence of RA, PsA, and axial SpA diagnoses were calculated from 2004 to 2020 and stratified by age/sex. Findings: Point-prevalence of RA/PsA diagnoses increased annually, peaking in 2019 (RA 0·779% [95% confidence interval (CI) 0·773, 0·784]; PsA 0·287% [95% CI 0·284, 0·291]) then falling slightly. Point-prevalence of axial SpA diagnoses increased annually (except in 2018/2019), peaking in 2020 (0·113% [95% CI 0·111, 0·115]). RA diagnosis annual incidence was higher between 2013-2019 (after inclusion in the Quality and Outcomes Framework, range 49·1 [95% CI 47·7, 50·5] to 52·1 [95% CI 50·6, 53·6]/100,000 person-years) than 2004-2012 (range 34·5 [95% CI 33·2, 35·7] to 40·0 [95% CI 38·6, 41·4]/100,000 person-years). Increases in the annual incidence of PsA/axial SpA diagnosis occurred following new classification criteria publication. Annual incidence of RA, PsA and axial SpA diagnoses fell by 40·1%, 67·4%, and 38·1%, respectively between 2019 and 2020, likely reflecting the COVID-19 pandemic's impact on their diagnosis. Interpretation: Recorded RA, PsA, and axial SpA diagnoses are increasingly prevalent in England, underlining the importance of organising healthcare services to provide timely, treat-to-target care to optimise the health of >1% of adults in England. Funding: National Institute for Health and Care Research (NIHR300826).

Long-Term Cardiovascular Risk and Management of Patients Recorded in Primary Care With Unattributed Chest Pain: An Electronic Health Record Study.

Background Most adults presenting with chest pain will not receive a diagnosis and be recorded with unattributed chest pain. The objective was to assess if they have increased risk of cardiovascular disease compared with those with noncoronary chest pain and determine whether investigations and interventions are targeted at those at highest risk. Methods and Results We used records from general practices in England linked to hospitalization and mortality information. The study population included patients aged 18 years or over with a new record of chest pain with a noncoronary cause or unattributed between 2002 and 2018, and no cardiovascular disease recorded up to 6 months (diagnostic window) afterward. We compared risk of a future cardiovascular event by type of chest pain, adjusting for cardiovascular risk factors and alternative explanations for chest pain. We determined prevalence of cardiac diagnostic investigations and preventative medication during the diagnostic window in patients with estimated cardiovascular risk ≥10%. There were 375 240 patients with unattributed chest pain (245 329 noncoronary chest pain). There was an increased risk of cardiovascular events for patients with unattributed chest pain, highest in the first year (hazard ratio, 1.25 [95% CI, 1.21-1.29]), persistent up to 10 years. Patients with unattributed chest pain had consistently increased risk of myocardial infarction over time but no increased risk of stroke. Thirty percent of patients at higher risk were prescribed lipid-lowering medication. Conclusions Patients presenting to primary care with unattributed chest pain are at increased risk of cardiovascular events. Primary prevention to reduce cardiovascular events appears suboptimal in those at higher risk.

In-Hospital Complications in Pregnancies Conceived by Assisted Reproductive Technology.

Background Assisted reproductive technology (ART) has emerged as a common treatment option for infertility, a problem that affects an estimated 48 million couples worldwide. Advancing maternal age with increasing prepregnancy cardiovascular risk factors, such as chronic hypertension, obesity, and diabetes, has raised concerns about pregnancy complications associated with ART. However, in-hospital complications following pregnancies conceived by ART are poorly described. Methods and Results To assess the patient characteristics, obstetric outcomes, vascular complications and temporal trends of pregnancies conceived by ART, we analyzed hospital deliveries conceived with or without ART between January 1, 2008, and December 31, 2016, from the United States National Inpatient Sample database. We included 106 248 deliveries conceived with ART and 34 167 246 deliveries conceived without ART. Women who conceived with ART were older (35 versus 28 years; P<0.0001) and had more comorbidities. ART-conceived pregnancies were independently associated with vascular complications (acute kidney injury: adjusted odds ratio [aOR], 2.52; 95% CI 1.99-3.19; and arrhythmia: aOR, 1.65; 95% CI, 1.46-1.86), and adverse obstetric outcomes (placental abruption: aOR, 1.57; 95% CI, 1.41-1.74; cesarean delivery: aOR, 1.38; 95% CI, 1.33-1.43; and preterm birth: aOR, 1.26; 95% CI, 1.20-1.32), including in subgroups without cardiovascular disease risk factors or without multifetal pregnancies. Higher hospital charges ($18 705 versus $11 983; P<0.0001) were incurred compared with women who conceived without ART. Conclusions Pregnancies conceived by ART have higher risks of adverse obstetric outcomes and vascular complications compared with spontaneous conception. Clinicians should have detailed discussions on the associated complications of ART in women during prepregnancy counseling.

Trends in the Annual Consultation Incidence and Prevalence of Low Back Pain and Osteoarthritis in England from 2000 to 2019: Comparative Estimates from Two Clinical Practice Databases.

PURPOSE: To compare estimates of annual person-consulting incidence and prevalence of low back pain (LBP) and osteoarthritis for two national English electronic health record databases (Clinical Practice Research Datalink (CPRD) Aurum and CPRD GOLD). PATIENTS AND METHODS: Retrospective, population-based, longitudinal cohort study. LBP and osteoarthritis cases were defined using established codelists in people aged ≥15 and ≥45 years, respectively. Incident cases were new recorded cases in a given calendar year with no relevant consultation in the previous 3 years (denominator = exact person-time in the same calendar year for the at-risk population). Prevalent cases were individuals with ≥1 consultation for the condition of interest recorded in a given calendar year, irrespective of prior consultations for the same condition (denominator = all patients with complete registration history in the previous 3 years). We estimated age-sex standardised incidence and annual (12-month period) prevalence for both conditions in 2000-2019, overall, and by sex, age group, and region. RESULTS: Standardised incidence and prevalence of LBP from Aurum were lower than those from GOLD until 2014, after which estimates were similar. Both databases showed recent declines in incidence and prevalence of LBP: declines began earlier in GOLD (after 2012-2014) than Aurum (after 2014-2015). Standardised incidence (after 2011) and prevalence of osteoarthritis (after 2003) were higher in Aurum than GOLD and showed different trends: incidence and prevalence were stable or increasing in Aurum, decreasing in GOLD. Stratified estimates in CPRD Aurum suggested consistently higher occurrence among women, older age groups, and those living in the north of England. CONCLUSION: Comparative analyses of two English databases produced conflicting estimates and trends for two common musculoskeletal conditions. Aurum estimates appeared more consistent with external sources and may be useful for monitoring population musculoskeletal health and healthcare demand, but they remain sensitive to analytic decisions and data quality.

Does pre-existing morbidity influences risks and benefits of total hip replacement for osteoarthritis: a prospective study of 6682 patients from linked national datasets in England.

Total hip arthroplasty (THA) surgery for elderly people with multimorbidity increases the risk of serious health hazards including mortality. Whether such background morbidity reduces the clinical benefit is less clear. OBJECTIVE: To evaluate how pre-existing health status, using multiple approaches, influences risks of, and quality of life benefits from, THA. SETTING: Longitudinal record linkage study of a UK sample linking their primary care to their secondary care records. PARTICIPANTS: A total of 6682 patients were included, based on the recording of the diagnosis of hip osteoarthritis in a national primary care register and the recording of the receipt of THA in a national secondary care register.Data were extracted from the primary care register on background health and morbidity status using five different constructs: Charlson Comorbidity Index, Electronic Frailty Index (eFI) and counts of comorbidity disorders (from list of 17), prescribed medications and number of primary care visits prior to recording of THA. OUTCOME MEASURES: (1) Postoperative complications and mortality; (2) postoperative hip pain and function using the Oxford Hip Score (OHS) and health-related quality of life using the EuroQoL (EQ)-5D score. RESULTS: Perioperative complication rate was 3.2% and mortality was 0.9%, both increased with worse preoperative health status although this relationship varied depending on the morbidity construct: the eFI showing the strongest relationship but number of visits having no predictive value. By contrast, the benefits were not reduced in those with worse preoperative health, and improvement in both OHS and EQ-5D was observed in all the morbidity categories. CONCLUSIONS: Independent of preoperative morbidity, THA leads to similar substantial improvements in quality of life. These are offset by an increase in medical complications in some subgroups of patients with high morbidity, depending on the definition used. For most elderly people, their other health disorders should not be a barrier for THA.