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Objective: Previous studies demonstrated that the risk of venous thromboembolism (VTE) is increased in patients with gout, but not whether there was a temporal association between gout flare and VTE. This study was undertaken to evaluate potential temporal associations between gout flare and VTE. Methods: Data were obtained from electronic primary‐care records from the UK's Clinical Practice Research Datalink, which links data from hospitalization and mortality registers. Using self‐controlled case series analysis adjusted for season and age, we evaluated the temporal association between gout flare and VTE. The 90 days after primary‐care consultation or hospitalization for gout flare was designated the exposed period. This was divided into three 30‐day intervals. The baseline period was up to 2 years before the start of and up to 2 years after the end of the exposed period. The association between gout flare and VTE was measured using adjusted incidence rate ratios (IRRs) with 95% confidence intervals (95% CIs). Results: In total, 314 patients met the inclusion criteria (age ≥18 years, incident gout, no presence of VTE or use of a primary‐care anticoagulant prescription before the start of the pre‐exposure period). Among the 314 patients, VTE incidence was significantly higher in the exposed period than in the baseline period (adjusted IRR 1.83, 95% CI 1.30–2.59). The adjusted IRR of VTE during the first 30 days after gout flare was 2.31 (95% CI 1.39–3.82) relative to the baseline period. No increase in the adjusted IRRs was observed in days 31–60 (adjusted IRR 1.49, 95% CI 0.79–2.81) and days 61–90 (adjusted IRR 1.67, 95% CI 0.91–3.06) relative to baseline. Results were consistent across sensitivity analyses. Conclusion: Among patients with gout, there was a transient increase in the rate of VTE within 30 days after primary‐care consultation or hospitalization for gout flare. [ABSTRACT FROM AUTHOR]

Importance: Gout is associated with cardiovascular diseases. The temporal association between gout flares and cardiovascular events has not been investigated.Objective: To investigate whether there is a transient increase in risk of cardiovascular events after a recent gout flare.Design, Setting, and Participants: A retrospective observational study was conducted using electronic health records from the Clinical Practice Research Datalink in England between January 1, 1997, and December 31, 2020. A multivariable nested case-control study was performed among 62 574 patients with gout, and a self-controlled case series, adjusted for season and age, was performed among 1421 patients with gout flare and cardiovascular event.Exposures: Gout flares were ascertained using hospitalization, primary care outpatient, and prescription records.Main Outcomes and Measures: The primary outcome was a cardiovascular event, defined as an acute myocardial infarction or stroke. Association with recent prior gout flares was measured using adjusted odds ratios (ORs) with 95% CIs in a nested case-control study and adjusted incidence rate ratios (IRRs) with 95% CIs in a self-controlled case series.Results: Among patients with a new diagnosis of gout (mean age, 76.5 years; 69.3% men, 30.7% women), 10 475 patients with subsequent cardiovascular events were matched with 52 099 patients without cardiovascular events. Patients with cardiovascular events, compared with those who did not have cardiovascular events, had significantly higher odds of gout flare within the prior 0 to 60 days (204/10 475 [2.0%] vs 743/52 099 [1.4%]; adjusted OR, 1.93 [95% CI, 1.57-2.38]) and within the prior 61 to 120 days (170/10 475 [1.6%] vs 628/52 099 [1.2%]; adjusted OR, 1.57 [95% CI, 1.26-1.96]). There was no significant difference in the odds of gout flare within the prior 121 to 180 days (148/10 475 [1.4%] vs 662/52 099 [1.3%]; adjusted OR, 1.06 [95% CI, 0.84-1.34]). In the self-controlled case series (N = 1421), cardiovascular event rates per 1000 person-days were 2.49 (95% CI, 2.16-2.82) within days 0 to 60; 2.16 (95% CI, 1.85-2.47) within days 61 to 120; and 1.70 (95% CI, 1.42-1.98) within days 121 to 180 after a gout flare, compared with cardiovascular event rates of 1.32 (95% CI, 1.23-1.41) per 1000 person-days within the 150 days before or the 181 to 540 days after the gout flare. Compared with 150 days before or the 181 to 540 days after a gout flare, incidence rate differences for cardiovascular events were 1.17 (95% CI, 0.83-1.52) per 1000 person-days, and adjusted IRRs were 1.89 (95% CI, 1.54-2.30) within days 0 to 60; 0.84 (95% CI, 0.52-1.17) per 1000 person-days and 1.64 (95% CI, 1.45-1.86) within days 61 to 120; and 0.38 (95% CI, 0.09-0.67) per 1000 person-days and 1.29 (95% CI, 1.02-1.64) within days 121 to 180 after a gout flare.Conclusions and Relevance: Among individuals with gout, those who experienced a cardiovascular event, compared with those who did not experience such an event, had significantly higher odds of a recent gout flare in the preceding days. These findings suggest gout flares are associated with a transient increase in cardiovascular events following the flare. [ABSTRACT FROM AUTHOR]

Abstract Background There is pressing need to diagnose lung cancer earlier in the United Kingdom (UK) and it is likely that research using computerised general practice records will help this process. Linkage of these records to area-level geo-demographic classifications may also facilitate case ascertainment for public health programmes, however, there have as yet been no extensive studies of data validity for such purposes. Methods To first address the need for validation, we assessed the completeness and representativeness of lung cancer data from The Health Improvement Network (THIN) national primary care database by comparing incidence and survival between 2000 and 2009 with the UK National Cancer Registry and the National Lung Cancer Audit Database. Secondly, we explored the potential of a geo-demographic social marketing tool to facilitate disease ascertainment by using Experian's Mosaic Public Sector ™ classification, to identify detailed profiles of the sectors of society where lung cancer incidence was highest. Results Overall incidence of lung cancer (41.4/100, 000 person-years, 95% confidence interval 40.6-42.1) and median survival (232 days) were similar to other national data; The incidence rate in THIN from 2003-2006 was found to be just over 93% of the national cancer registry rate. Incidence increased considerably with area-level deprivation measured by the Townsend Index and was highest in the North-West of England (65.1/100, 000 person-years). Wider variations in incidence were however identified using Mosaic classifications with the highest incidence in Mosaic Public Sector ™types 'Cared-for pensioners, ' 'Old people in flats' and 'Dignified dependency' (191.7, 174.2 and 117.1 per 100, 000 person-years respectively). Conclusions Routine electronic data in THIN are a valid source of lung cancer information. Mosaic ™ identified greater incidence differentials than standard area-level measures and as such could be used as a tool for public health programmes to ascertain future cases more effectively.

Abstract Background Previous studies have suggested that children of mothers who experience depression during the perinatal period may have more infections, but such studies are few in number and none have been carried out in the United Kingdom (UK) population. The aim of this study was to investigate the association between perinatal depression in mothers and the risk of childhood infections in offspring in the UK general population. Methods We used data from The Health Improvement Network (THIN), a large database of electronic primary care medical records to conduct a cohort study among all first-born singleton children born and enrolled in THIN between 1988 and 2004. We used Poisson regression to compare the incidence of gastrointestinal infections and lower respiratory tract infections reported between birth and age 4 years among children of mothers with a record of perinatal depression with those born to mothers with no such history. Results Children of mothers with perinatal depression had a 40% increased risk of gastrointestinal infections and a 27% increased risk of lower respiratory tract infections compared with children of mothers without perinatal depression (incidence rate ratios = 1.40 and 1.27; 95% confidence intervals 1.37-1.42 and 1.22-1.32, respectively). On restricting to antibiotic-treated infections there was a slight increase in the magnitude of association with gastrointestinal infections but a decrease in that with lower respiratory tract infections (incidence rate ratios = 1.47 and 1.19; 95% confidence intervals 1.34-1.61 and 1.11-1.27, respectively). Conclusions Maternal perinatal depression is associated with increased rates of childhood gastrointestinal infections, particularly more severe infections, and lower respiratory tract infections in the UK. Preventing maternal perinatal depression may avoid substantial morbidity among offspring, although further work is also needed to investigate the detailed reasons for these findings.

We aimed to explore the association of physical parameters with haemoglobin (Hb) levels to test the hypothesis that impaired physical development is associated with anaemia. A cross‐sectional survey study recruited adolescent girls (13 to 17 years) living in rural areas of Maharashtra state of India. Data were collected on physical parameters include height, weight, and midupper arm circumference (MUAC). Hb levels were measured using Sahli's haemometer. Linear regression was conducted to test the hypothesis. Data were collected from 1,010 girls on physical parameter and Hb levels. The majority of the adolescent girls were diagnosed with anaemia (87%). The regression analysis adjusted for age gave a significant association of Hb levels with all three variables (MUAC, weight, and height). Hb increased by 0.11 g/dl with an each centimetre of increase in MUAC (95% confidence interval, CI, [0.08, 0.15], P <.001). Each kilogram of increase in the body weight showed an increase in Hb levels (0.02 g dl, 95% CI [0.01, 0.03], P =.001). With an each centimetre of increase in height, Hb increased by 0.01 g dl (95% CI [0.00, 0.02], P =.022). There was a consistent association between three measures of somatic growth and anaemia in the study population. It is likely that life‐course exposures from conception onwards contribute to this, and the public health implications are that preventing anaemia is a challenge that requires a multifaceted interventional approach. Understanding the importance of the timing of these life exposures will help design interventions that can achieve optimal results. [ABSTRACT FROM AUTHOR]

Comment & Response B In Reply b Dr Fonseca raises the issue of potential confounding by low-dose aspirin in our study[1] of the association between gout flare and cardiovascular events. If a recent prescription of low-dose aspirin were to elevate serum urate modestly,[[2]] and thereby be associated with gout flares,[4] such prescription should also, by a more direct mechanism, reduce the risk of cardiovascular events.[[5]] Thus, a recent prescription of low-dose aspirin would be more likely to reduce than increase the association between recent prior gout flares and cardiovascular events. Nevertheless, we performed an additional multivariable conditional logistic regression analysis using the fully adjusted model[1] with separate adjustment for current and past low-dose aspirin (tablet strength of <=325 mg) and current and past nonaspirin antiplatelet drug prescriptions. [Extracted from the article]

Abstract: Background and aims: Little is known about the long‐term economic consequences of smoking during pregnancy. We estimated the association between smoking in pregnancy and the costs of delivering health‐care to infants and children in England, and investigated which aspects of care are the key drivers of these costs. Methods: We used Hospital Episode Statistics (HES) linked with Clinical Practice Research Datalink (CPRD) data in England from January 2003 to January 2015 in children with longitudinal data for at least 1, 5 and 10 years after birth. Poisson regression provided rate ratios (RR) and 95% confidence intervals (CIs) comparing health‐care episode rates between those exposed and not exposed to smoking during pregnancy. Linear regression was used to compare estimated costs between groups (£ sterling, 2015 prices) and generalized linear multivariable (GLM) models adjusted for potentially moderating factors. Results: A total of 93 152 singleton pregnancies with the required data were identified. Maternal smoking in pregnancy was associated with higher primary care, prescription and hospital in‐patient episode rates, but lower out‐patient visit and diagnostic test rates. Adjusting for year of birth, socio‐economic deprivation, parity, sex of child and delivery method showed that maternal smoking in pregnancy was associated with increased child health‐care costs at 1 year [average cost difference for children of smokers, β = £91.18, 95% confidence interval (CI) = £47.52–134.83 and 5 years of age (β = £221.80, 95% CI = £17.78–425.83], but not at 10 years of age (β = £365.94, 95% CI = –£192.72 to £924.60). Conclusion: In England, maternal smoking in pregnancy is associated with increased child health‐care costs over the first 5 years of life; these costs are driven primarily by greater hospital in‐patient care. [ABSTRACT FROM AUTHOR]

Background: Understanding patterns of injury in England is challenging due to a lack of national injury surveillance data. Through recent linkage of a large primary care research database to hospitalization and mortality data, we describe the epidemiology of poisonings, fractures and burns over a 14-year period. Methods: We used linked English primary care, hospitalisation and mortality data from the Clinical Practice Research Datalink, Hospital Episode Statistics and Office for National Statistics between 1998 and 2011 to establish a cohort of 2,106,420 0-24 year olds. Incidence rates, per 10 000 person-years (PY) were estimated by age, sex, calendar year and socioeconomic status. Using Poisson regression we estimated incidence rate ratios, adjusting for age and sex. Results: Age patterns of injury incidence varied by injury type, with peaks at age 2 (74.3/10 000 PY) and 18 (74.7/10 000 PY) for poisonings, age 13 for fractures (305.1/10 000 PY) and age 1 for burns (116.8/10 000 PY). Over time, fracture incidence increased, whereas poisoning incidence increased only among 15-24 year olds and burns incidence reduced. Poisoning and burns incidence increased with deprivation, with the steepest socioeconomic gradient for poisonings among 20-24 year olds (IRR 2.63, 95% confidence interval 2.24-3.09). Conclusion: Differing patterns according to age and injury type reflect differences in underlying injury mechanisms, highlighting the importance of developing tailored preventative interventions across the life course. Inequalities in injury occurrences support the targeting of preventative interventions to children and young people living in the most deprived areas. [ABSTRACT FROM AUTHOR]