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Aims: To investigate in women with prior gestational diabetes mellitus (GDM), differences by ethnicity and socioeconomic status in the incidence of recurrent GDM, type 2 diabetes (T2D), hypertension, and depression., Methods: This was a retrospective cohort study including 10,868 women diagnosed with GDM in the Clinical Practice Research Datalink (CPRD GOLD) between January 01, 2000 and November 05, 2018. Linked data were obtained for Hospital Episode Statistics and the Index of Multiple Deprivation. We estimated incidence rates and hazard ratios, by ethnicity and socioeconomic status., Results: During a follow-up of 58,479 person years (mean (SD): 5.38 (3.67) years), the crude incidence was 9.67 (95 % confidence interval: 9.30-10.00) per 100 person years for recurrent GDM, 3.86 (3.70-4.02) for depression, 2.15 (2.03-2.27) for T2D and 0.89 (0.81-0.97) for hypertension. South Asian ethnicity was associated with an increased risk of T2D compared to White (adjusted hazard ratio: 1.65; 1.34-2.05) and Black ethnicity was associated with a greater risk of hypertension (2.93; 1.93-4.46). Black and South Asian ethnicity were associated with a reduced risk of depression compared to White: 0.23 (0.13-0.39) and 0.37 (0.29-0.46), respectively. Incidence rates were higher for all conditions with increasing deprivation level., Conclusions: The risk of health complications in women with a prior history of GDM differs by ethnicity and socio-economic status, suggesting the opportunity for targeted assessment in the years following pregnancy. These findings may inform future guidelines on screening for health outcomes in women with GDM., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Elpida Vounzoulaki reports financial support was provided by NIHR ARC East Midlands. This report is the independent research of EV, supported by the National Institute for Health Research (NIHR) Applied Research Collaboration-East Midlands as part of a PhD project. This research is also supported by the NIHR Leicester Biomedical Research Centre. Kamlesh Khunti has acted as a consultant and speaker for Novartis, Novo Nordisk, Sanofi-Aventis, Lilly, Servier, and Merck Sharp and Dohme; has received grants in support of investigator and investigator-initiated trials from Novartis, Novo Nordisk, Sanofi-Aventis, Lilly, Pfizer, Boehringer Ingelheim, and Merck Sharp and Dohme; and has received funds for research, honoraria for speaking at meetings and has served on advisory boards for Lilly, Sanofi-Aventis, Merck Sharp & Dohme Corp., and Novo Nordisk. Melanie J Davies has acted as consultant, advisory board member and speaker for Novo Nordisk, Sanofi-Aventis, Lilly, Merck Sharp and Dohme, Boehringer Ingelheim, AstraZeneca, and Janssen; as a speaker for Mitsubishi Tanabe Pharma Corporation; and has received grants in support of investigator and investigator-initiated trials from Novo Nordisk, Sanofi-Aventis, and Lilly. All other authors declare no competing interests, or activities that could appear to have influenced the submitted work. The views expressed are those of the author(s) and not necessarily those of the NIHR, National Health Service, or the Department of Health and Social Care. The funders had no role in considering the study design or in the collection, analysis, interpretation of data, writing of the report, or decision to submit the article for publication., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Aim: Despite global recommendations for type 2 diabetes mellitus treatment to maintain optimal glycaemic targets, a significant proportion of people remain in suboptimal glycaemic control. Our objective was to investigate the impact of intensification delay after basal insulin (BI) initiation on long-term complications in people with suboptimal glycaemia., Materials and Methods: We conducted a retrospective cohort study in individuals with type 2 diabetes mellitus initiated on BI. Those with suboptimal glycaemia (glycated haemoglobin ≥7% or ≥53 mmol/mol) within 12 months of BI initiation were divided into early (treatment intensified within 5 years), or late (≥5 years) intensification groups. We estimated the age-stratified risks of micro- and macrovascular complications among these groups compared with those with optimal glycaemia (glycated haemoglobin <7%)., Results: Of the 13 916 people with suboptimal glycaemia, 52.5% (n = 7304) did not receive any treatment intensification. In those aged <65 years, compared with the optimal glycaemia group late intensification was associated with a 56% higher risk of macrovascular complications (adjusted hazard ratio 1.56; 95% confidence intervals 1.08, 2.26). In elderly people (≥65 years), late intensification was associated with a higher risk of cardiovascular-related death (1.62; 1.03, 2.54) and a lower risk of microvascular complications (0.26; 0.08, 0.83)., Conclusions: Those who had late intensification were at an increased risk of cardiovascular death if they were ≥65 years and an increased risk of macrovascular complications if they were <65 years. These findings highlight the critical need for earlier intensification of treatment and adopting personalized treatment strategies to improve patient outcomes., (© 2023 The Authors. Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.)

We conduct a systematic review to investigate current deprescribing practices and evaluate outcomes and adverse events with deprescribing of preventive medications in older patients with either an end-of-life designation or residing in long-term care facilities with cardiometabolic conditions. Studies were identified using a literature search of MEDLINE, EMBASE, Web of Science, clinicaltrials.gov.uk, CINAHLS, and the Cochrane Register from inception to March 2022. Studies reviewed included observational studies and randomised control trials (RCTs). Data was extracted on baseline characteristics, deprescribing rates, adverse events and outcomes, and quality of life indicators, and was discussed using a narrative approach. Thirteen studies were identified for inclusion. Deprescribing approaches included complete withdrawal, dose reduction or tapering, or switching to an alternative medication, for at least one preventive medication. Deprescribing success rates ranged from 27 to 94.7%. The studies reported no significant changes in laboratory values or adverse outcomes but did find mixed outcomes for hospitalisations and a slight increase in mortality rates when comparing the intervention and control groups. Lack of good-quality randomised control trials suggests that deprescribing in the older population residing in long-term care facilities with cardiometabolic conditions and multimorbidity is feasible when controlled and regularly monitored by an appropriate healthcare clinician, and that the benefits outweigh the potential harm in this cohort of patients. Due to the limited evidence and the heterogeneity of studies, a meta-analysis was not performed and as such further research is required to assess the benefits of deprescribing in this patient population. Systematic review registration: PROSPERO CRD42021291061., (© 2023. The Author(s).)

Objective. Temporal trends in admissions for atrial fibrillation (AF) and severe bleeding associated with AF vary worldwide. We aimed to explore their temporal trends in England and their relation to the introduction of DOACs in 2014 in the UK. Design. This longitudinal ecological study utilised aggregated data that was extracted from the Hospital Episode Statistics database, which captured annual admissions for AF and severe bleeding associated with AF between 2001 and 2018. Trends in admissions over the study period and across age groups, gender and regions in England were assessed. Results. In total, there were 11,292,177 admissions for AF and 324,851 admissions for severe bleeding associated with AF. There was a steady rise in admissions for AF from 2001 to 2017 (204,808 to 1,109,295; p for trend<.001). A similar trend was observed for severe bleeding (4940 to 30,169; p for trend <.001), but the increase dropped slightly between 2013 and 2014 and continued thereafter. Conclusions. There was a rise in admissions for AF and severe bleeding in England between 2001 and 2018. There is little evidence that the slight drop in admissions for severe bleeding between 2013 and 2014 may have been caused by the introduction of DOACs in 2014. Contributors to these trends need urgent exploration.

Background: Restrictions implemented by governments during the coronavirus disease 2019 (COVID-19) pandemic affected people's eating habits and physical activity. We investigated the effect of COVID-19 lockdowns and restrictions on body mass index (BMI) and weight in a UK population, according to BMI class, sex, age and ethnicity., Methods: This retrospective observational cohort study used the Clinical Practice Research Datalink AURUM database. Baseline spanned from 22 March 2017-22 March 2020, and the follow-up lockdown period was from 23 March 2020 (start of the lockdown in the UK) to 13 March 2021. The descriptive analysis included individuals with ≥ 1 valid BMI/weight measurements during both the baseline and follow-up periods, while the model-based analysis comprised individuals with ≥ 1 valid measurement(s) during baseline. Results were stratified by baseline BMI category, sex, age and ethnicity., Results: In the descriptive analysis (n = 273,529), most individuals did not change BMI category post-lockdown (66.4-83.3%). A greater proportion of women (12.6%) than men (9.5%) moved up BMI categories post-lockdown. Compared with older groups, a higher proportion of individuals < 45 years old increased post-lockdown BMI category. The model-based analysis (n = 938,150) revealed consistent trends, where changes in body weight and BMI trajectories pre- and post-lockdown were observed for women and for individuals < 45 years., Conclusion: During COVID-19 restrictions, women and young individuals were more likely than other groups to increase BMI category and weight post-lockdown., Competing Interests: Declaration of Competing Interest Katherine Byrne and Ricardo Reynoso are employees of Novo Nordisk and hold shares. Kamlesh Khunti is supported by the National Institute for Health Research (NIHR) Applied Research Collaboration East Midlands and has acted as a consultant or speaker for, or has received grants for investigator-initiated studies from, AstraZeneca, Bayer, Berlin-Chemie AG/Menarini Group, Boehringer Ingelheim, Janssen, Lilly, Merck Sharp & Dohme, Napp Pharmaceuticals, Novartis, Novo Nordisk and Sanofi-Aventis. Thomas Yates is supported by the NIHR Leicester Biomedical Research Centre and has received investigator-initiated funding for obesity related research from AstraZeneca. Other authors declare no conflicts of interest., (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Aim: In this study we aim to identify the factors associated with treatment inertia in patients with type 2 diabetes mellitus (T2DM) who have been recently started on basal insulin (BI)., Methods: Using UK CPRD GOLD, we identified adults with T2DM with suboptimal glycaemia (HbA1c within 12 months of BI ≥ 7% (≥53 mmol/mol)). We used multivariable Cox regression model to describe the association between patient characteristics and the time to treatment intensification., Results: A total of 12,556 patients were analysed. Compared to individuals aged < 65 years, those aged ≥ 65 years had lower risk of treatment intensification (HR: 0.69; 95% CI: 0.64-0.73). Other factors included being female (0.93, 0.89-0.99), longer T2DM duration (0.99, 0.98-0.99), living in the most deprived areas (0.90, 0.83-0.98), being a current smoker (0.91, 0.84-0.98), having one (0.91, 0.85-0.97) or more than one comorbidity (0.88, 0.82-0.94), and patients who were on metformin (0.71, 0.63-0.80), or 2nd generation sulphonylureas (0.85; 0.79-0.92) or DPP4 inhibitors (0.87, 0.82-0.93) compared to those who were not., Conclusion: Therapeutic inertia still remains a major barrier, with multiple factors associated with delay in intensification. Interventions to overcome therapeutic inertia need to be implemented at both patient and health care professional level., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023. Published by Elsevier B.V.)

Objectives: To estimate the risk of Long COVID by socioeconomic deprivation and to further examine the inequality by sex and occupation., Design: We conducted a retrospective population-based cohort study using data from the ONS COVID-19 Infection Survey between 26 April 2020 and 31 January 2022. This is the largest nationally representative survey of COVID-19 in the UK with longitudinal data on occupation, COVID-19 exposure and Long COVID., Setting: Community-based survey in the UK., Participants: A total of 201,799 participants aged 16 to 64 years and with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection., Main Outcome Measures: The risk of Long COVID at least 4 weeks after SARS-CoV-2 infection by index of multiple deprivation (IMD) and the modifying effects of socioeconomic deprivation by sex and occupation., Results: Nearly 10% ( n  = 19,315) of participants reported having Long COVID. Multivariable logistic regression models, adjusted for a range of variables (demographic, co-morbidity and time), showed that participants in the most deprived decile had a higher risk of Long COVID (11.4% vs. 8.2%; adjusted odds ratio (aOR): 1.46; 95% confidence interval (CI): 1.34, 1.59) compared to the least deprived decile. Significantly higher inequalities (most vs. least deprived decile) in Long COVID existed in healthcare and patient-facing roles (aOR: 1.76; 95% CI: 1.27, 2.44), in the education sector (aOR: 1.68; 95% CI: 1.31, 2.16) and in women (aOR: 1.56; 95% CI: 1.40, 1.73) than men (aOR: 1.32; 95% CI: 1.15, 1.51)., Conclusions: This study provides insights into the heterogeneous degree of inequality in Long COVID by deprivation, sex and occupation. These findings will help inform public health policies and interventions in incorporating a social justice and health inequality lens.

Objective: To estimate vaccine effectiveness for preventing covid-19 related hospital admission in individuals first infected with the SARS-CoV-2 virus during pregnancy compared with those of reproductive age who were not pregnant when first infected with the virus., Design: Population based cohort study., Setting: Office for National Statistics Public Health Data Asset linked dataset, providing national linked census and administrative data in England, 8 December 2020 to 31 August 2021., Participants: 815 477 females aged 18-45 years (mean age 30.4 years) who had documented evidence of a first SARS-CoV-2 infection in the NHS Test and Trace or Hospital Episode Statistics data., Main Outcome Measures: Hospital admission where covid-19 was recorded as the primary diagnosis. Cox proportional hazards models, adjusted for calendar time of infection, sociodemographic factors, and pre-existing health conditions related to uptake of the covid-19 vaccine and risk of severe covid-19 outcomes, were used to estimate vaccine effectiveness as the complement of the hazard ratio for hospital admission for covid-19., Results: Compared with pregnant individuals who were not vaccinated, the adjusted rate of hospital admission for covid-19 was 77% (95% confidence interval 70% to 82%) lower for pregnant individuals who had received one dose and 83% (76% to 89%) lower for those who had received two doses of vaccine. These estimates were similar to those found in the non-pregnant group: 79% (77% to 81%) for one dose and 83% (82% to 85%) for two doses of vaccine. Among those who were vaccinated >90 days before infection, having two doses of vaccine was associated with a greater reduction in risk than one dose., Conclusions: Covid-19 vaccination was associated with reduced rates of hospital admission in pregnant individuals infected with the SARS-CoV-2 virus, and the reduction in risk was similar to that in non-pregnant individuals. Waning of vaccine effectiveness occurred more quickly after one than after two doses of vaccine., Competing Interests: Competing interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/disclosure-of-interest/ and declare: no support from any organisation for the submitted work; MK is chair of the DMC for the Preg-CoV study; KK is a member of the UK Scientific Advisory Group for Emergencies (SAGE) and chair of the ethnicity subgroup of SAGE; PH has participated in a meeting of the Pfizer Respiratory Syncytial Virus Vaccine Advisory Board and participation was unpaid; no financial relationships with any organisations that might have an interest in the submitted work in the previous three years; no other relationships or activities that could appear to have influenced the submitted work., (© Crown Copyright 2023.)

Background and Aims: We aimed to evaluate the life expectancy following the first cardiovascular disease (CVD) event by type 2 diabetes (T2D) status and ethnicity., Methods and Results: We used the Clinical Practice Research Datalink database in England (UK), linked to the Hospital Episode Statistics information, to identify individuals with and without T2D who survived a first CVD event between 1st Jan 2007 and 31st Dec 2017; subsequent death events were extracted from the Office for National Statistics database. Ethnicity was categorised as White, South Asian (SA), Black, or other. Flexible parametric survival models were used to estimate survival and predict life expectancy. 59,939 individuals with first CVD event were included: 7596 (12.7%) with T2D (60.9% men; mean age at event: 69.7 years [63.2 years in SA, 65.9 in Black, 70.2 in White]) and 52,343 without T2D (56.7% men; 65.9 years [54.7 in Black, 58.2 in SA, 66.3 in White]). Accounting for potential confounders (sex, deprivation, lipid-lowering medication, current smoking, and pre-existing hypertension), comparing individuals with vs without T2D the mortality rate was 53% higher in White (hazard ratio [HR]: 1.53 [95% CI: 1.44, 1.62]), corresponding to a potential loss of 3.87 (3.30, 4.44) life years at the age of 50 years in individuals with T2D. No evidence of a difference in life expectancy was observed in individuals of SA (HR: 0.82 [0.52, 1.29]; -1.36 [-4.58, 1.86] life years), Black (HR: 1.26 [0.59, 2.70]; 1.21 [-2.99, 5.41] life years); and other (HR: 1.64 [0.80, 3.39]; 3.89 [-2.28, 9.99] life years) ethnic group., Conclusion: Following a CVD event, T2D is associated with a different prognosis and life years lost among ethnic groups., Competing Interests: Declaration of competing interest Professor Khunti is the National Lead for multiple long-term conditions for National Institute for Health Research Applied Research Collaboration (NIHR ARC). Professor Khunti has acted as a consultant, speaker or received grants for investigator-initiated studies for Astra Zeneca, Abbott, Amgen, Bayer, Novartis, Novo Nordisk, Roche, Servier, Sanofi-Aventis, Lilly and Merck Sharp & Dohme, Boehringer Ingelheim, Oramed Pharmaceuticals and Applied Therapeutics. Dr Zaccardi is a speaker fees from Napp Pharmaceuticals and Boehringer Ingelheim. Professor Davies has acted as a consultant, advisory board member and speaker for Novo Nordisk, Sanofi-Aventis, Lilly, Merck Sharp & Dohme, Boehringer Ingelheim, AstraZeneca and Janssen, an advisory board member for Servier and Gilead Sciences Ltd and as a speaker for Napp Pharmaceuticals, Mitsubishi Tanabe Pharma Corporation and Takeda Pharmaceuticals International Inc. Professor Davies has received grants in support of investigator and investigator-initiated trials from Novo Nordisk, Sanofi-Aventis, Lilly, Boehringer Ingelheim, AstraZeneca and Janssen. All other authors have no conflict of interest., (Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.)

Gestational diabetes mellitus (GDM) is the most common metabolic disorder in pregnancy. GDM is associated with serious maternal and fetal complications, in particular, fetal macrosomia and large for gestational age (LGA), which predisposes to a higher risk of childhood obesity and type 2 diabetes mellitus later in life. Early prediction and diagnosis of GDM leads to early interventions such as diet and lifestyle, which could mitigate the maternal and fetal complications associated with GDM. Glycated haemoglobin A1c (HbA1c) has been widely used for monitoring, screening for and diagnosing diabetes and prediabetes. Increasing evidence has also showed that HbA1c could indicate fetal glucose supply. Thus, we hypothesise that the HbA1c level at around 24 to 28 weeks may predict the development of fetal macrosomia or an LGA baby in women with GDM, which could be useful for better prevention of fetal macrosomia and LGA. We searched MEDLINE, EMBASE, Cochrane and Google Scholar databases from inception to November 2022 for relevant studies that reported at least one HbA1c level during 24-28 weeks of pregnancy and fetal macrosomia or an LGA baby. We excluded studies that were not published in the English language. No other search filters were applied during the search. Two independent reviewers selected eligible studies for meta-analysis. Two independent reviewers performed data collection and analyses. The PROSPERO registration number is CRD42018086175. A total of 23 studies were included in this systematic review. Of these, 8 papers reported data of 17,711 women with GDM that allowed for inclusion in a meta-analysis. The obtained results demonstrated the prevalence of fetal macrosomia was 7.4% and of LGA, 13.36%. Meta-analyses showed that the estimated pooled risk ratio (RR) for LGA in women with high HbA1c values compared to normal or low values was 1.70 (95% CI: 1.23-2.35), p = 0.001; and the pooled RR for fetal macrosomia was 1.45 (95% CI: 0.80 to 2.63), p = 0.215. Further research is needed to evaluate the utility of HbA1c levels in predicting the delivery of a baby with fetal macrosomia or LGA in pregnant women.

Background and Aims: Currently, there is uncertainty as to whether blood pressure control in patients with type 2 diabetes should be treated to standard recommended levels or more intensively., Methods: Medline, EMBASE, CENTRAL, and Clinicaltrials.gov were searched between January 1, 2000 and April 20th, 2023. Outcomes considered were all-cause mortality, stroke, heart failure, cardiovascular disease, albuminuria, coronary heart disease, and renal outcomes. Random-effects meta-analyses estimated pooled relative risks and mean differences., Results: Nine trials enrolling 11,005 participants with type 2 diabetes were included. The pooled mean difference between the intensive and standard treatment groups at follow-up were -7.98 mmHg (95% CI: 12.19 to -3.76) in systolic blood pressure, and -5.08 mmHg (-7.00 to -3.17) in diastolic blood pressure; although between study heterogeneity was high for both meta-analyses (I 2 >85%). Intensive blood pressure lowering resulted in a reduction in risk of stroke (risk ratio 0.64; 0.52 to 0.79), and macro-albuminuria (0.77; 0.63 to 0.93). More intensive blood pressure control did not result in a statistically significant reduction in risk of all-cause mortality, heart failure, cardiovascular death, cardiovascular events, renal outcomes, and micro-albuminuria; although the direction of estimated effect was beneficial for all outcomes., Conclusions: The use of intensive compared with standard blood pressure targets resulted in a significant reduction in blood pressure, stroke, and macro-albuminuria in patients with type 2 diabetes. The post-treatment blood pressure level in the intensive group was 125/73 mmHg, suggesting the current recommendations of 130/80 mmHg blood pressure or lower if tolerated, could be reduced further., Competing Interests: Declaration of competing interest KK has acted as a consultant and speaker for Novartis, Novo Nordisk, Sanofi-Aventis, Lilly, Servier and Merck Sharp & Dohme. He has received grants in support of investigator and investigator-initiated trials from Novartis, Novo Nordisk, Sanofi-Aventis, Lilly, Pfizer, Boehringer Ingelheim and Merck Sharp & Dohme. KK has received funds for research, honoraria for speaking at meetings and has served on advisory boards for Lilly, Sanofi-Aventis, Merck Sharp & Dohme and Novo Nordisk. MJD has acted as consultant, advisory board member and speaker for Novo Nordisk, Sanofi-Aventis, Lilly, Merck Sharp & Dohme, Boehringer Ingelheim, AstraZeneca and Janssen and as a speaker for Mitsubishi Tanabe Pharma Corporation. She has received grants in support of investigator and investigator-initiated trials from Novo Nordisk, Sanofi-Aventis and Lilly. KKR reports personal fees from Abbvie, AstraZeneca, Medco, Resverlogix, Akcea, Boehringer Ingelheim, Novo Nordisk, Takeda, Kowa, Algorithm, Cipla, Cerenis, Dr Reddys, Lilly, and Zuellig Pharma, Novartis and Silence Therapeutics; and grants and personal fees from Amgen, Sanofi, Regeneron Pharmaceuticals, MSD, Daiichi Sankyo and Pfizer. All other authors declare no competing interests and no duality of interest in connection with their involvement in this study., (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Background: Vascular adhesion protein 1 (VAP-1) has been implicated in a wide range of clinical conditions. Moreover, serum levels are associated with disease prediction and progression in several clinical studies. There is a paucity of data on VAP-1 and pregnancy. Given the emerging role of VAP-1 in pregnancy, the aim of this study was to examine sVAP-1 as an early biomarker of pregnancy complications, especially hypertension during pregnancy. The objectives of the study are to associate sVAP-1 levels with other pregnancy complications, patient demographics and blood tests performed throughout pregnancy., Methods: We conducted a pilot study in a cohort of pregnant women (gestational week lower than 20 at the time of recruitment) attending their first antenatal ultrasound scan at the Leicester Royal Infirmary (LRI, UK). Data were both prospectively generated (from blood sample analysis) and retrospectively collected (from hospital records)., Results: From July and October 2021, a total of 91 participants were enrolled. Using ELISA (enzyme-linked immunosorbent assay), we found reduced serum levels of sVAP-1 in pregnant women with either pregnancy induced hypertension (PIH) (310 ng/mL) or GDM (366.73 ng/mL) as compared to controls (427.44 ng/mL and 428.34 ng/mL, respectively). No significant difference was found between women with FGR compared to controls (424.32 ng/mL vs 424.52 ng/mL), and patients with any pregnancy complications compared to healthy pregnancies (421.28 ng/mL vs 428.34 ng/mL)., Conclusion: Further studies are needed to establish whether or not sVAP-1 might be considered as an early, non-invasive, and affordable biomarker to screen women who will develop PIH or GDM. Our data will aid sample size calculations for such larger studies., Competing Interests: DGL is a scientific adviser to Cellomatics, a SME-CRO. This does not alter our adherence to PLOS ONE policies on sharing data and materials. The remaining authors declare no conflict of interest., (Copyright: © 2023 Danielli et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Competing Interests: KK is Chair of the Ethnicity Subgroup of the UK Scientific Advisory Group for Emergencies (SAGE) and Member of SAGE and also Chair of the National Long Covid working group which reports to the Chief Medical Officer.

Background: The aim of this study was to systematically synthesise the global evidence on the prevalence of persistent symptoms in a general post COVID-19 population., Methods: A systematic literature search was conducted using multiple electronic databases (MEDLINE and The Cochrane Library, Scopus, CINAHL, and medRxiv) until January 2022. Studies with at least 100 people with confirmed or self-reported COVID-19 symptoms at ≥28 days following infection onset were included. Patient-reported outcome measures and clinical investigations were both assessed. Results were analysed descriptively, and meta-analyses were conducted to derive prevalence estimates. This study was pre-registered (PROSPERO-ID: CRD42021238247)., Findings: 194 studies totalling 735,006 participants were included, with five studies conducted in those <18 years of age. Most studies were conducted in Europe (n = 106) or Asia (n = 49), and the time to follow-up ranged from ≥28 days to 387 days. 122 studies reported data on hospitalised patients, 18 on non-hospitalised, and 54 on hospitalised and non-hospitalised combined (mixed). On average, at least 45% of COVID-19 survivors, regardless of hospitalisation status, went on to experience at least one unresolved symptom (mean follow-up 126 days). Fatigue was frequently reported across hospitalised (28.4%; 95% CI 24.7%-32.5%), non-hospitalised (34.8%; 95% CI 17.6%-57.2%), and mixed (25.2%; 95% CI 17.7%-34.6%) cohorts. Amongst the hospitalised cohort, abnormal CT patterns/x-rays were frequently reported (45.3%; 95% CI 35.3%-55.7%), alongside ground glass opacification (41.1%; 95% CI 25.7%-58.5%), and impaired diffusion capacity for carbon monoxide (31.7%; 95% CI 25.8%-3.2%)., Interpretation: Our work shows that 45% of COVID-19 survivors, regardless of hospitalisation status, were experiencing a range of unresolved symptoms at ∼ 4 months. Current understanding is limited by heterogeneous study design, follow-up durations, and measurement methods. Definition of subtypes of Long Covid is unclear, subsequently hampering effective treatment/management strategies., Funding: No funding., Competing Interests: This work was supported by National Institute for Health Research (NIHR) ARC East Midlands. AB is PI of the NIHR funded STIMULATE-ICP study (COV-LT2-0043) and has also received other research funding from Astra Zeneca, NIHR, BMA, UK Research and Innovation (UKRI) and EU. MC is Director of the Birmingham Health Partners Centre for Regulatory Science and Innovation, Director of the Centre for the Centre for Patient Reported Outcomes Research and is a NIHR Senior Investigator. MC receives funding from the NIHR, UKRI, NIHR Birmingham Biomedical Research Centre, the NIHR Surgical Reconstruction and Microbiology Research Centre, NIHR ARC West Midlands, UK SPINE, European Regional Development Fund–Demand Hub and Health Data Research UK at the University of Birmingham and University Hospitals Birmingham NHS Foundation Trust, Innovate UK (part of UKRI), Macmillan Cancer Support, UCB Pharma, Janssen, GSK and Gilead. She is senior author of the Symptom Burden Questionnaire™ for Long COVID. MC has received personal fees from Aparito Ltd, CIS Oncology, Takeda, Merck, Daiichi Sankyo, Glaukos, GSK and the Patient-Centered Outcomes Research Institute (PCORI) outside the submitted work. In addition, a family member owns shares in GSK. TS and RS receive funding from the NIHR, and by the UKRI who have awarded funding grant number COVLT0022. All research at Great Ormond Street Hospital NHS Foundation Trust and UCL Great Ormond Street Institute of Child Health is made possible by the NIHR Great Ormond Street Hospital Biomedical Research Centre. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. HW is an NIHR Senior Investigator Award, and acknowledges support from the NIHR Imperial Biomedical Research Centre, Health Data Research UK, NIHR Applied Research Collaborative North West London, and the Wellcome Trust. KK is Chair of the Ethnicity Subgroup of the UK Scientific Advisory Group for Emergencies (SAGE) and Member of SAGE and also Chair of the National Long Covid working group which reports to the Chief Medical Officer. TW receives funding from the NIHR, the views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. JS receives funding from the NIHR and UKRI., (© 2022 The Author(s).)

Pre-eclampsia is one of the most common pregnancy complications, and a major cause of fetal and maternal morbidity and mortality globally. Diagnosis currently takes place in the third trimester based on clinical symptoms. This systematic review and meta-analysis sought to determine the blood biomarkers that are associated with pre-eclampsia, and in particular, the biomarkers that could predict pre-eclampsia in early pregnancy. We searched the electronic databases (Medline, Embase, Cochrane Library) from inception up to March 2022. Prospective studies with 1000 or more participants that measured blood biomarkers to predict or diagnose pre-eclampsia have been included in this systematic review. Biomarkers' measurements were considered from the first up to the third trimester, but not during labor. Data concerning pre-eclampsia, biomarker measurements and study characteristics were extracted. Meta-analysis was performed when possible. We found a total of 43 studies (assessing 62 different biomarkers in 18,170 pregnancies, have been included in this systematic review, and a total of 6 studies (assessing 2 biomarkers have been included in the meta-analysis). Statistical analysis was performed for PlGF and sFlt-1. Mean difference in PlGF levels between pre-eclampsia and healthy pregnancies, appear to increase as the pregnancy progresses. Results of sFlt-1 meta-analysis were inconclusive. No significant publication bias was identified. This is the most comprehensive and up to date systematic review and meta-analysis on this important topic on blood biomarkers for the early prediction of pre-eclampsia. Further This research highlights the urgent needed for further discovery research to identify blood biomarkers that could predict the development of pre-eclampsia., Competing Interests: The authors declare no conflict of interest., (© 2022 The Author(s).)

Objectives: This review aims to summarize key methods for estimating years of life lost (YLL), highlighting their differences and how they can be implemented in current software, and applies them in a real-world example., Study Design and Setting: We investigated the common YLL methods: (1) Years of potential life lost (YPLL); (2) Global Burden of Disease (GBD) approach; (3) Life tables; (4) Poisson regression; and (5) Flexible parametric Royston-Parmar regression. We used data from UK Biobank and multimorbidity as our example., Results: For the YPLL and GBD method, the analytical procedures allow only to quantify the average YLL within each group (with and without multimorbidity) and, from them, their difference; conversely, for the other methods both the remaining life expectancy within each group and the YLL could be estimated. At 65 years, the YLL in those with vs. without multimorbidity was 1.8, 1.2, and 2.7 years using the life tables approach and the Poisson, and Royston-Parmar regression, respectively; corresponding values were -0.73 and -0.05 years for YPLL and using the GBD approach., Conclusion: While deciding among different methods to estimate YLL, researchers should consider the purpose of the research, the type of available data, and the flexibility of the model., (Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.)

Aims: To estimate rates and identify determinants of post-partum glucose screening attendance in women with a history of gestational diabetes mellitus (GDM)., Methods: Retrospective cohort study using the Clinical Practice Research Datalink linked to Hospital Episode Statistics, to identify women diagnosed with GDM between 01/01/2000 and 05/11/2018. Age adjusted odds ratios (aOR) and 95% confidence intervals (CI) were estimated using multivariable logistic regression models., Results: In 10,868 women with GDM, with an average follow-up of 5.38 years (95% CI 5.31,5.45), there was an average of 3.79 (95% CI 3.70,3.89) screening episodes per individual, with a mean time to first screening test of 1.22 (95% CI 1.18, 1.25) years. South Asian women had a significantly greater likelihood of being screened compared to White women within the first 5 years post-partum, aOR: 1.89 95% CI (1.20,2.98). A low proportion of women received at least one test per year of follow-up (23.87%). Older age at GDM diagnosis, polycystic ovary syndrome, prescribed medication for GDM, and living in England, were all associated with a greater likelihood of being screened., Conclusion: While the majority of women with previous GDM receive at least one glucose screening test within the first 5 years post-partum, fewer than a quarter of them receive on average one test per year of follow-up. Developing strategies to motivate more women to attend screening in primary care is essential., (Copyright © 2022 Primary Care Diabetes Europe. Published by Elsevier Ltd. All rights reserved.)

Obesity and ethnicity are known risk factors for COVID-19 outcomes, but their combination has not been extensively examined. We investigate the association between body mass index (BMI) and COVID-19 mortality across different ethnic groups using linked national Census, electronic health records and mortality data for adults in England from the start of pandemic (January 2020) to December 2020. There were 30,067 (0.27%), 1,208 (0.29%), 1,831 (0.29%), 845 (0.18%) COVID-19 deaths in white, Black, South Asian and other ethnic minority groups, respectively. Here we show that BMI was more strongly associated with COVID-19 mortality in ethnic minority groups, resulting in an ethnic risk of COVID-19 mortality that was dependant on BMI. The estimated risk of COVID-19 mortality at a BMI of 40 kg/m 2 in white ethnicities was equivalent to the risk observed at a BMI of 30.1 kg/m 2 , 27.0 kg/m 2 , and 32.2 kg/m 2 in Black, South Asian and other ethnic minority groups, respectively., (© 2022. The Author(s).)

Aims: Diabetes can significantly impact quality of life and mental health. However, inconsistencies have been reported in the prevalence of depression in those with Type 1 and Type 2 diabetes, and those without. Systematic reviews also included studies without adequate control subjects. We update existing literature, by comparing depression prevalence between individuals with and without Type 1 and Type 2 diabetes., Methods: A systematic review and meta-analysis. We searched MEDLINE, EMBASE and PSYCHINFO, from January 1985 to August 2021. Studies were excluded if they failed to have an adequate control group, specified type of diabetes, or reported depression prevalence by type of diabetes., Results: 44 studies were selected for inclusion. The prevalence of depression was significantly higher in people with Type 1 (22% vs 13%, OR = 2.10 (95% CI: 1.23, 3.52)), or Type 2 diabetes (19% vs 11%, OR = 1.76 (1.55, 2.01)) compared to those without diabetes. There was no association between study effect size and mean age or gender. Findings did not significantly differ between methods of depression assessment. Prevalence of depression in people with diabetes was higher in studies carried out in specialist care (36%, OR = 3.14 (2.12, 4.63)) compared to those in community or primary care (12%, OR = 1.51 (1.35, 1.70) and in low- and middle-income countries (OR = 2.58 (1.91, 3.50) compared to countries with high income economies (OR = 1.59 (1.39, 1.82))., Conclusions: Depression prevalence remains significant in those with type 1 and type 2 diabetes. Effective chronic disease management in people with diabetes is important, particularly screening and managing depression and diabetes distress in specialist care settings., (Copyright © 2021 Primary Care Diabetes Europe. Published by Elsevier Ltd. All rights reserved.)

Objective: To assess trends in primary and specialist care consultation rates and average length of consultation by cardiovascular disease (CVD), type 2 diabetes mellitus (T2DM), or cardiometabolic multimorbidity exposure status., Methods: Observational, retrospective cohort study used linked Clinical Practice Research Datalink primary care data from 01/01/2000 to 31/12/2018 to assess consultation rates in 141,328 adults with newly diagnosed T2DM, with or without CVD. Patients who entered the study with either a diagnosis of T2DM or CVD and later developed the second condition during the study are classified as the cardiometabolic multimorbidity group. Face to face primary and specialist care consultations, with either a nurse or general practitioner, were assessed over time in subjects with T2DM, CVD, or cardiometabolic multimorbidity. Changes in the average length of consultation in each group were investigated., Results: 696,255 (mean 4.9 years [95% CI, 2.02-7.66]) person years of follow up time, there were 10,221,798 primary and specialist care consultations. The crude rate of primary and specialist care consultations in patients with cardiometabolic multimorbidity (N = 11,881) was 18.5 (95% CI, 18.47-18.55) per person years, 13.5 (13.50, 13.52) in patients with T2DM only (N = 83,094) and 13.2 (13.18, 13.21) in those with CVD (N = 57,974). Patients with cardiometabolic multimorbidity had 28% (IRR 1.28; 95% CI: 1.27, 1.31) more consultations than those with only T2DM. Patients with cardiometabolic multimorbidity had primary care consultation rates decrease by 50.1% compared to a 45.0% decrease in consultations for those with T2DM from 2000 to 2018. Specialist care consultation rates in both groups increased from 2003 to 2018 by 33.3% and 54.4% in patients with cardiometabolic multimorbidity and T2DM, respectively. For patients with T2DM the average consultation duration increased by 36.0%, in patients with CVD it increased by 74.3%, and in those with cardiometabolic multimorbidity it increased by 37.3%., Conclusions: Annual primary care consultation rates for individuals with T2DM, CVD, or cardiometabolic multimorbidity have fallen since 2000, while specialist care consultations and average consultation length have both increased. Individuals with cardiometabolic multimorbidity have significantly more consultations than individuals with T2DM or CVD alone. Service redesign of health care delivery needs to be considered for people with cardiometabolic multimorbidity to reduce the burden and health care costs., (© 2022. The Author(s).)

Objective: To quantify the association between accelerometer-assessed physical activity and coronavirus disease 2019 (COVID-19) outcomes., Methods: Data from 82,253 UK Biobank participants with accelerometer data (measured 2013-2015), complete covariate data, and linked COVID-19 data from March 16, 2020, to March 16, 2021, were included. Two outcomes were investigated: severe COVID-19 (positive test result from in-hospital setting or COVID-19 as primary cause of death) and nonsevere COVID-19 (positive test result from community setting). Logistic regressions were used to assess associations with moderate to vigorous physical activity (MVPA), total activity, and intensity gradient. A higher intensity gradient indicates a higher proportion of vigorous activity., Results: Average MVPA was 48.1 (32.7) min/d. Physical activity was associated with lower odds of severe COVID-19 (adjusted odds ratio per standard deviation increase: MVPA, 0.75 [95% CI, 0.67 to 0.85]; total, 0.83 [0.74 to 0.92]; intensity, 0.77 [0.70 to 0.86]), with stronger associations in women (MVPA, 0.63 [0.52 to 0.77]; total, 0.76 [0.64 to 0.90]; intensity, 0.63 [0.53 to 0.74]) than in men (MVPA, 0.84 [0.73 to 0.97]; total, 0.88 [0.77 to 1.01]; intensity, 0.88 [0.77 to 1.00]). In contrast, when mutually adjusted, total activity was associated with higher odds of a nonsevere infection (1.10 [1.04 to 1.16]), whereas the intensity gradient was associated with lower odds (0.91 [0.86 to 0.97])., Conclusion: Odds of severe COVID-19 were approximately 25% lower per standard deviation (∼30 min/d) MVPA. A greater proportion of vigorous activity was associated with lower odds of severe and nonsevere infections. The association between total activity and higher odds of a nonsevere infection may be through greater community engagement and thus more exposure to the virus. Results support calls for public health messaging highlighting the potential of MVPA for reducing the odds of severe COVID-19., (© 2021 THE AUTHORS.)

Background: Gestational Diabetes Mellitus (GDM) is the most prevalent metabolic disorder during pregnancy, however, the association between dyslipidaemia and GDM remains unclear., Methods: We searched Medline, Scopus, Web of Science, Cochrane, Maternity and Infant Care database (MIDIRS) and ClinicalTrials.gov up to February 2021 for relevant studies which reported on the circulating lipid profile during pregnancy, in women with and without GDM. Publications describing original data with at least one raw lipid [triglyceride (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), or very low-density lipoprotein cholesterol (VLDL-C)] measurement were retained. Data extraction was performed using a piloted data extraction form. The protocol was registered with PROSPERO (CRD42019139696)., Findings: A total of 292 studies, comprising of 97,880 pregnant women (28232 GDM and 69,648 controls) were included. Using random-effects meta-analysis models to pool study estimates, women with GDM had significantly higher (by 20%) TG levels, with a pooled weighted mean difference between GDM and non-GDM pregnancies of 0.388 mM (0.336, 0.439, p  < 0.001). Further analyses revealed elevated TG levels occur in the first trimester and persist afterwards. Meta-regression analyses showed that differences in TG levels between women with GDM and healthy controls were significantly associated with age, BMI, study continent, OGTT procedure, and GDM diagnosis criteria., Interpretation: Elevated lipids, particularly, TG, are associated with GDM., Competing Interests: KK reports personal fees from Amgen, AstraZeneca, Bayer, NAPP, Lilly, Merck Sharp & Dohme, Novartis, Novo Nordisk, Roche, Berlin-Chemie AG / Menarini Group, Boehringer-Ingelheim, Sanofi-Aventis and Servier, other from Astrazeneca, Lilly, Merck Sharp & Dohme, Novo Nordisk, Sanofi-Aventis, grants from AstraZeneca, Novartis, Novo Nordisk, Sanofi-Aventis, Lilly, Servier, Pfizer, Boehringer Ingelheim and Merck Sharp & Dohme, outside the submitted work. KA reports grants from BHF, HDR UK, MRC and National Institute for Health Research during the course of the study. KA is a member of the NICE Decision Support Unit (DSU) and the NICE Technical Support Unit (TSU) and has provided strategic and methodological advice to NICE. KA is a standing member of the NICE Diagnostics Advisory Committee (DAC) and a member of the Health Data Research (HDR) UK/UKRI/SAGE COVID-19 Task Force. JH, CG, SL, ZS, SM, PB and BKT have no competing interests to declare., (© 2021 The Author(s).)

Aims: To evaluate the risk of cardiovascular disease (CVD), end-stage renal disease (ESRD), and mortality, when implementing a multifactorial optimal control approach in primary care in the United Kingdom (UK), in individuals with newly diagnosed type 2 diabetes., Materials and Methods: A retrospective cohort of 53 942 patients were stratified into 1 of the 8 groups according to whether glycated haemoglobin (HbA1c), blood pressure (BP) and total cholesterol (TC) target values were achieved or not from baseline to the date of last follow-up. Those with single or combinations of risk factor control targets achieved, were compared to those who achieved no targets in any of the risk factor. Hazard ratios from the Cox proportional hazards models were estimated against patients who achieved no targets., Results: Of 53 942 patients with newly diagnosed type 2 diabetes, 28%, 55%, and 68% were at target levels for HbA1c <48mmol/mol (<6.5%), BP<140/85mm Hg, and TC<5mmol/L respectively, 36%, 40%, and 12% were at target levels for any one, two, or all three risk factors respectively. Being at HbA1c, BP, and TC targets was associated with an overall 47%, 25%, 42%, 55% and 42% reduction in the risk of ischemic heart disease, cerebrovascular disease, ESRD, cardiovascular-mortality, and all-cause-mortality respectively. Among all subgroups, the risk reduction of study outcome events was greater in the subgroups of patients with microalbuminuria, males, smokers, and patients with BMI≥30kg/m 2 ., Conclusions: Optimal levels of HbA1c, BP, and TC occurring together in patients with newly diagnosed type 2 diabetes are uncommon. Achieving multiple risk factor control targets could substantially reduce the risk of CVD, ESRD and mortality., (Crown Copyright © 2020. Published by Elsevier Ltd. All rights reserved.)

Behavioral lifestyle factors are associated with cardiometabolic disease and obesity, which are risk factors for coronavirus disease 2019 (COVID-19). We aimed to investigate whether physical activity, and the timing and balance of physical activity and sleep/rest, were associated with SARS-CoV-2 positivity and COVID-19 severity. Data from 91,248 UK Biobank participants with accelerometer data and complete covariate and linked COVID-19 data to July 19, 2020, were included. The risk of SARS-CoV-2 positivity and COVID-19 severity-in relation to overall physical activity, moderate-to-vigorous physical activity (MVPA), balance between activity and sleep/rest, and variability in timing of sleep/rest-was assessed with adjusted logistic regression. Of 207 individuals with a positive test result, 124 were classified as having a severe infection. Overall physical activity and MVPA were not associated with severe COVID-19, whereas a poor balance between activity and sleep/rest was (odds ratio [OR] per standard deviation: 0.71; 95% confidence interval [CI], 0.62 to 0.81]). This finding was related to higher daytime activity being associated with lower risk (OR, 0.75; 95% CI, 0.61 to 0.93) but higher movement during sleep/rest being associated with higher risk (OR, 1.26; 95% CI, 1.12 to 1.42) of severe infection. Greater variability in timing of sleep/rest was also associated with increased risk (OR, 1.21; 95% CI, 1.08 to 1.35). Results for testing positive were broadly consistent. In conclusion, these results highlight the importance of not just physical activity, but also quality sleep/rest and regular sleep/rest patterns, on risk of COVID-19. Our findings indicate the risk of COVID-19 was consistently approximately 1.2-fold greater per approximately 40-minute increase in variability in timing of proxy measures of sleep, indicative of irregular sleeping patterns., (Copyright © 2020 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.)

Routine care for chronic disease is an ongoing major challenge. We aimed to evaluate the global impact of COVID-19 on routine care for chronic diseases. An online survey was posted 31 March to 23 April 2020 targeted at healthcare professionals. 202 from 47 countries responded. Most reported change in routine care to virtual communication. Diabetes, chronic obstructive pulmonary disease, and hypertension were the most impacted conditions due to reduction in access to care. 80% reported the mental health of their patients worsened during COVID-19. It is important routine care continues in spite of the pandemic, to avoid a rise in non-COVID-19-related morbidity and mortality., Competing Interests: Declaration of competing interest The authors have no conflict of interest to declare., (Copyright © 2020 Diabetes India. Published by Elsevier Ltd. All rights reserved.)

Competing Interests: Declaration of competing interest None.

Aims: Smoking is a strong risk factor for albuminuria in people with type 2 diabetes mellitus (T2DM). However, it is unclear whether this sequela of smoking is brought about by its action on cardiometabolic parameters or the relationship is independent. The aim of this systematic review is to explore this relationship., Methods: Electronic databases on cross-sectional and prospective studies in Medline and Embase were searched from January 1946 to May 2018. Adult smokers with T2DM were included, and other types of diabetes were excluded., Results: A random effects meta-analysis of 20,056 participants from 13 studies found that the odds ratio (OR) of smokers developing albuminuria compared to non-smokers was 2.13 (95% CI 1.32, 3.45). Apart from smoking, the odds ratio of other risk factors associated with albuminuria were: age 1.24 (95% CI 0.84, 1.64), male sex 1.39 (95% CI 1.16, 1.67), duration of diabetes 1.78 (95% CI 1.32, 2.23), HbA1c 0.63 (95% CI 0.45, 0.81), SBP 6.03 (95% CI 4.10, 7.97), DBP 1.85 (95% CI 1.08, 2.62), total cholesterol 0.06 (95% CI - 0.05, 0.17) and HDL cholesterol - 0.01 (95% CI - 0.04, 0.02), triglyceride 0.22 (95% CI 0.12, 0.33) and BMI 0.40 (95% CI 0.00-0.80). When the smoking status was adjusted in a mixed effect meta-regression model, the duration of diabetes was the only statistically significant factor that influenced the prevalence of albuminuria. In smokers, each year's increase in the duration of T2DM was associated with an increased risk of albuminuria of 0.19 units (95% CI 0.07, 0.31) on the log odds scale or increased the odds approximately by 23%, compared to non-smokers. Prediction from the meta-regression model also suggested that the odds ratios of albuminuria in smokers after a diabetes duration of 9 years and 16 years were 1.53 (95% CI 1.10, 2.13) and 5.94 (95% CI 2.53, 13.95), respectively., Conclusions: Continuing to smoke and the duration of diabetes are two strong predictors of albuminuria in smokers with T2DM. With a global surge in younger smokers developing T2DM, smoking cessation interventions at an early stage of disease trajectory should be promoted.

Objective: To determine the construct validity and test re-test reliability of the Six-minute Walk Test (6MWT) and Incremental Shuttle Walk Test (ISWT) in the sub-acute recovery phase following mild-to-moderate severity stroke., Participants: 40 stroke patients (mean age: 68.27 years, SD: 13.48) of median National Institutes of Health Stroke Scale (NIHSS) score 1.2 (range: 0 to 8) within six months of stroke., Method: Each participant completed one Incremental Cycle Test (ICT) followed by two ISWT and two 6MWT in a randomised order. Pearson's Correlation Coefficients were used to determine the validity and Bland Altman plots were used to determine the test re-test reliability., Results: The Incremental Cycle Test (ICT) was positively correlated with the ISWT (r=0.59, 95% confidence intervals 0.35 to 0.76, P=0.001) and the 6MWT (0.55, 0.35 to 0.71, P<0.001). The correlation of the ICT with the ISWT and 6MWT was higher for the 17 patients with no residual (ISWT: r=0.79, P<0.001; 6MWT: 0.826, P<0.001) compared to mild-to-moderate neurological impairment (ISWT: r=0.45, P=0.03; 6MWT: r=0.38, P=0.08). Test-retest reliability for both the ISWT and the 6MWT showed that there was some variability between the first and second tests with a better performance on the second test., Conclusion: The ISWT and 6MWT have a significant, modest correlation with the ICT for stroke patients in the sub-acute recovery phase. The ISWT and 6MWT are not strongly correlated with ICT (VO 2 peak) in a stroke population that is disabled. The test-retest reliability of the ISWT and 6MWT indicated that two tests may be needed to accurately assess an individual's capabilities., (Copyright © 2018 Chartered Society of Physiotherapy. Published by Elsevier Ltd. All rights reserved.)

Aims: The effect of intensive glycaemic control, blood pressure control and lipid levels control alone or as part of a multifactorial intervention has not been fully evaluated. We aimed to estimate the effects of more intensive interventions, compared with standard care, on risk factor control and cardiovascular outcomes in people with type 2 diabetes and microalbuminuria., Methods: We searched MEDLINE, Embase and the Cochrane library without language restrictions from inception to August 10, 2018. We included randomised controlled trials that evaluated intensive interventions in adults with type 2 diabetes and microalbuminuria. The review was registered on PROSPERO (registration number 42017055208). We used random effects meta-analysis to calculate overall pooled effect estimates across studies., Results: A total of seven (n = 1210) randomised controlled trials were included, four studies (n = 758) reported HbA1c, six studies (n = 950) reported blood pressure measurements, and three studies (n = 896) examined non-fatal MI, non-fatal stroke, cardiovascular mortality, and all-cause mortality. Intensive interventions indicated statistically significant reductions in both systolic and diastolic blood pressure, and a nonsignificant trend for reduction in HbA1c, total cholesterol, LDL, triglycerides and urinary albumin excretion rate. There was no evidence to suggest that compared with standard care, intensive interventions reduced the risk of non-fatal MI [risk ratio (RR) 0·50; 95% CI 0·20, 1·22; P = 0·127], non-fatal stroke (RR 0·44; 95% CI 0·10, 1·91; P = 0·275), CV mortality (RR 0·95; 95% CI 0·48, 1·86; P = 0·874) or all-cause mortality (RR 0·80; 95% CI 0·51, 1·25; P = 0·324)., Conclusions: Apart from blood pressure outcomes, there was no evidence that intensive interventions improve or worsen HbA1c, total cholesterol, LDL, triglycerides, urinary albumin excretion rate, risk of cardiovascular or mortality outcomes in people with type 2 diabetes and microalbuminuria. Results of this review are mainly influenced by one small trial, hence uncertainty surrounding the effect of intensive interventions in people with type 2 diabetes and microalbuminuria still exists. Large studies are urgently required in this high risk cardiovascular group of patients., (Crown Copyright © 2018. Published by Elsevier B.V. All rights reserved.)

Background: To reduce outpatient waiting times, a growing number of outpatient clinics for selected groups of patients are being provided by GPs with special interests (GPwSIs)., Aim: To determine whether there are differences in patient satisfaction or clinical outcome among patients attending orthopaedic clinics provided by GPwSIs in hospital or community settings., Design of Study: Randomised controlled trial., Setting: Hospital outpatient departments or general practices., Method: Three hundred and twenty-one patients with minor orthopaedic problems were referred by GPs to the orthopaedic surgery department of the University Hospitals of Leicester NHS Trust; 168 patients were randomised to care by GPwSIs in practices, and 153 were randomised to care by the same GPwSIs in clinics held at hospital outpatient departments. Patients completed the SF-36v2 and satisfaction questionnaires at their first appointment, and again 3 months later., Results: There was no significant difference between the sites in changes in health. After the first clinic attendance, patients attending practice-based clinics were more satisfied with access to appointments and information received., Conclusion: For selected orthopaedic referrals seen by GPwSIs, there were no significant differences in clinical outcomes between practice-based and hospital-based clinics, but some features of practice-based clinics tend to be preferred by patients.