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Raised blood pressure (BP) is the leading preventable risk factor for cardiovascular diseases that makes a major impact on early mortality and morbidity. Recognizing hypertension in the community, educating people about routine BP monitoring, and improving medication compliance are all important steps in detecting, controlling, and managing hypertension. During the course of 5 months, members of the Indian Society of Hypertension organized unique medical indoor and outdoor camps at 100 screening locations around India for the May Measurement Month (MMM) 2021 study. At every location, BP was measured three times, and a questionnaire was completed. Participants known to have hypertension before the study whether taking or not taking treatment were not included (not a normal pre-requisite for exclusion in MMM). The analysis included 15 045 participants in total. After calculating the average of the second and third BP measurements, 16.4% of participants were found to have hypertension based on ≥140/90 mmHg thresholds (2461 out of 15 045). 14.0% of females and 16.4% of males had hypertension. 16.4% of participants had undiagnosed hypertension and were not receiving treatment. The MMM screening campaign has the potential for identifying large numbers of people with undiagnosed hypertension and raising awareness of the importance of raised BP among the general public, medical professionals, policymakers, the government, and the media. Future BP screening campaigns should be larger in scope and involve follow-ups with past participants.
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The aim of this study was to highlight the importance of measuring blood pressure (BP) to identify new, known, and treated individuals with hypertension and to raise awareness in the general population about the importance of good BP control. In Paraguay, 3663 individuals aged ≥18 years of both sexes were recruited from May to November 2021 as part of the May Measurement Month (MMM) campaign, which was initiated by the International Society of Hypertension in 2017. Volunteers of 18 regional health teams applied the questionnaire provided by the MMM 2021 organization throughout the country. Due to COVID-19 constraints, the majority of the questionnaires (52.2%) were administered in health centres of the Ministry of Health and concluded with three BP and pulse readings using OMRON-automated BP measurement devices. Hypertension was defined as a systolic BP ≥ 140â mmHg or as a diastolic BP ≥ 90â mmHg or taking antihypertensive medication. We found that 57.4% of screenees were hypertensive and 72.9% of these (82.3% of women and 59.4% of men) had known hypertension. Of patients with hypertension, 70.1% were on antihypertensive medication, and 40.9% had controlled BP (<140/90â mmHg). Among hypertensives detected, 79.7% of women were on antihypertensive medication and 44.1% had controlled BP, while 56.4% of men were on treatment and 34.3% had controlled BP. In summary, we found high levels of hypertension with high rates of awareness and treatment particularly among women, although control rates were low particularly among men. This may be because most screening was conducted predominately in hospital settings.
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Despite the well-recognized importance of prevention and early treatment of hypertension, the majority of adults in Nepal are not aware of their high blood pressure (BP) and are left untreated. In this paper, we report the result of the May Measure Month 2021 campaign in Nepal: a nationwide community-based hypertension screening campaign. An opportunistic cross-sectional survey was conducted in 15 districts between September 2021 and December 2021. An individual was included if aged 18 years or more and provided informed consent. Structured questionnaires were administered, and BP was measured three times in a sitting position by trained volunteers. A total of 5172 participants were included. The median age (interquartile range) was 37 (25-51), and 49.9% were female. The mean (SD) of the systolic and diastolic BP was 123.9 (14.9) and 80.2 (9.3) mmHg, respectively. A total of 1066 participants (20.6%) were identified as hypertensive (systolic BP ≥ 140â mmHg or diastolic BP ≥ 90â mmHg or on antihypertensive medication), of whom 399 (39.5%) and 298 (29.5%) were aware of their BP status and treated with at least one antihypertensive medicine, respectively. Blood pressure control (<140/90â mmHg) was achieved in 15.6% of all hypertensives and in 56.0% of treated individuals. Multivariate logistic regression showed an association between hypertension and the following variables: every 1-year increase of age [odds ratio (OR) = 1.13 (1.11-1.15) if age < 40 and OR = 1.05 (1.04-1.06) if age ≥ 40], male [OR = 1.57 (1.33-1.89)], regular alcohol use [OR = 1.59 (1.30-1.93)], and diabetes [OR = 2.63 (1.93-3.58)]. Hypertension awareness, treatment, and control were suboptimal in Nepal. This study supports a strong need to scale up community-based hypertension programmes in Nepal and raises the possibility of task sharing with community health workers.
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Blood pressure (BP) measurement is the mainstay for diagnosing and treating hypertension. Blood pressure screening in the May Measurement Month (MMM) project is helpful for the early detection of hypertension, which is usually asymptomatic. This study aimed to investigate the epidemiology of hypertension from data in the MMM21 project in Thailand. A cross-sectional study was conducted according to the MMM clinical study protocol for MMM21 in all regions of Thailand from August to November 2021. We included adults aged ≥18 years. Baseline characteristics, history of hypertension diagnosis, and treatment were collected through the questionnaires followed by three standardized BP measurements, 1 min apart. We included 10 940 participants with a mean age of 41.3 (SD ± 13.5) years. Only 6% never had their BP measured before. Of all participants, 30.2% had hypertension, and among this hypertensive population, 50.3% were aware, and 46.2% were taking antihypertensive medications. Of participants with hypertension, 31.6% had controlled BP (<140/90â mmHg), and BP control was 68.5% among those taking antihypertensive medication. The proportion of participants who had diabetes, were on aspirin, and were on statin were 6, 7.2, and 11.4%, respectively. Almost all participants (93.7%) had received at least one COVID-19 vaccination, and 8.0% reported a previous COVID-19 positive test. Most of the participants (97.4%) received hypertension care at no cost. Hypertension awareness and overall BP control rate were relatively low, while most subjects had previously had their BP checked. The widespread use of BP measurement may improve the diagnosis and treatment of hypertension to improve the care of those with hypertension in Thailand.
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May Measurement Month (MMM) is a global and national blood pressure (BP) screening campaign initiated by the International Society of Hypertension to improve awareness of BP worldwide. This study reports on the findings of the MMM21 campaign in Australia. Adult participants (≥18 years) were screened through opportunistic sampling across Australia between 1 May and 30 November 2021. Trained volunteers recorded standardized BP measurements from community volunteer participants along with demographic data, lifestyle factors, comorbidities, and history of COVID-19 infection and vaccination. Hypertension was defined as systolic BP ≥ 140â mmHg and/or diastolic BP ≥ 90â mmHg and/or taking antihypertensive medication. Data were collated and analysed centrally using the current MMM protocol and presented after the imputation of missing BP readings. A total of 1307 participants were screened in 2021, comprising 652 (49.9%) females and 654 (50.0%) males with a mean age of 48 years (SD 20.1). Of all 1307 participants, 524 (40.1%) had hypertension. Of participants with hypertension, 65.4% were aware and 59.3% were on antihypertensive medication. Of 311 participants on antihypertensive medication, 54.7% had controlled BP. Of all 524 participants with hypertension, 32.5% had controlled BP. The current 2021 data may indicate some progress in creating BP awareness; however, consecutive Australian data obtained since 2017 demonstrated stagnating treatment, and control rates compared with global rates and those in other high-income countries. Concerted efforts from all stakeholders will be required to further improve BP awareness, treatment, and control rates in Australia.
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The Philippine Society of Hypertension (PSH) took part again in the annual May Measurement Month 2021 (MMM21) blood pressure (BP) campaign to raise awareness of hypertension. The MMM standard protocol designed by the MMM coordinating centre was used during screening. These included the collection of basic data on demography, lifestyle, and environmental factors. Standardized sitting BP measurements were taken three times, using automated BP apparatus and were either entered via MMM21 app, MMM@Home, and Google Forms or recorded on paper and transferred to Excel spreadsheets by PSH encoders. Hypertension was defined either as systolic BP ≥ 140 mmHg or diastolic BP ≥ 90 mmHg or on antihypertensive medication. A total of 59 655 participated through opportunistic convenience sampling. After multiple imputation, a total of 26 813 (44.9%) participants were identified as having hypertension. Of these, 14 449 (53.9%) were aware and 12 978 (48.4%) were on antihypertensive medication. Of those who were treated, 5644 (43.5%) had controlled BP (<140/90â mmHg) and 7334 (56.5%) were uncontrolled. These latest local data showed that BP awareness is still low with BP control achieved in less than half of treated patients. Continued collaboration is needed to improve BP screening programmes in the country.
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BACKGROUND: Identifying clusters of diseases may aid understanding of shared aetiology, management of co-morbidities, and the discovery of new disease associations. Our study aims to identify disease clusters using a large set of long-term conditions and comparing methods that use the co-occurrence of diseases versus methods that use the sequence of disease development in a person over time. METHODS: We use electronic health records from over ten million people with multimorbidity registered to primary care in England. First, we extract data-driven representations of 212 diseases from patient records employing (i) co-occurrence-based methods and (ii) sequence-based natural language processing methods. Second, we apply the graph-based Markov Multiscale Community Detection (MMCD) to identify clusters based on disease similarity at multiple resolutions. We evaluate the representations and clusters using a clinically curated set of 253 known disease association pairs, and qualitatively assess the interpretability of the clusters. RESULTS: Both co-occurrence and sequence-based algorithms generate interpretable disease representations, with the best performance from the skip-gram algorithm. MMCD outperforms k-means and hierarchical clustering in explaining known disease associations. We find that diseases display an almost-hierarchical structure across resolutions from closely to more loosely similar co-occurrence patterns and identify interpretable clusters corresponding to both established and novel patterns. CONCLUSIONS: Our method provides a tool for clustering diseases at different levels of resolution from co-occurrence patterns in high-dimensional electronic health records, which could be used to facilitate discovery of associations between diseases in the future.
Having multiple long-term conditions is linked to worse health, poorer quality of life, and difficulties accessing healthcare. Identifying groups, or 'clusters' of diseases that are more likely to occur together in one person may help healthcare services to better meet the needs of those with multiple conditions. Our study aims to identify clusters of similar diseases, based not only on the diseases someone has now, but on the order in which they developed them. We compare a range of methods and find that our strategy performs best at explaining diseases that are already known to be linked, whilst also identifying new clusters of diseases. These methods could be used in future to better understand how diseases occur together, which could help the design of more efficient healthcare services.
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OBJECTIVE: Natural language processing (NLP) algorithms are increasingly being applied to obtain unsupervised representations of electronic health record (EHR) data, but their comparative performance at predicting clinical endpoints remains unclear. Our objective was to compare the performance of unsupervised representations of sequences of disease codes generated by bag-of-words versus sequence-based NLP algorithms at predicting clinically relevant outcomes. MATERIALS AND METHODS: This cohort study used primary care EHRs from 6 286 233 people with Multiple Long-Term Conditions in England. For each patient, an unsupervised vector representation of their time-ordered sequences of diseases was generated using 2 input strategies (212 disease categories versus 9462 diagnostic codes) and different NLP algorithms (Latent Dirichlet Allocation, doc2vec, and 2 transformer models designed for EHRs). We also developed a transformer architecture, named EHR-BERT, incorporating sociodemographic information. We compared the performance of each of these representations (without fine-tuning) as inputs into a logistic classifier to predict 1-year mortality, healthcare use, and new disease diagnosis. RESULTS: Patient representations generated by sequence-based algorithms performed consistently better than bag-of-words methods in predicting clinical endpoints, with the highest performance for EHR-BERT across all tasks, although the absolute improvement was small. Representations generated using disease categories perform similarly to those using diagnostic codes as inputs, suggesting models can equally manage smaller or larger vocabularies for prediction of these outcomes. DISCUSSION AND CONCLUSION: Patient representations produced by sequence-based NLP algorithms from sequences of disease codes demonstrate improved predictive content for patient outcomes compared with representations generated by co-occurrence-based algorithms. This suggests transformer models may be useful for generating multi-purpose representations, even without fine-tuning.
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Algoritmos , Registros Eletrônicos de Saúde , Processamento de Linguagem Natural , Humanos , Estudos de Coortes , Feminino , Masculino , Doença/classificação , InglaterraRESUMO
Background: Identifying clusters of co-occurring diseases may help characterise distinct phenotypes of Multiple Long-Term Conditions (MLTC). Understanding the associations of disease clusters with health-related outcomes requires a strategy to assign clusters to people, but it is unclear how the performance of strategies compare. Aims: First, to compare the performance of methods of assigning disease clusters to people at explaining mortality, emergency department attendances and hospital admissions over one year. Second, to identify the extent of variation in the associations with each outcome between and within clusters. Methods: We conducted a cohort study of primary care electronic health records in England, including adults with MLTC. Seven strategies were tested to assign patients to fifteen disease clusters representing 212 LTCs, identified from our previous work. We tested the performance of each strategy at explaining associations with the three outcomes over 1 year using logistic regression and compared to a strategy using the individual LTCs. Results: 6,286,233 patients with MLTC were included. Of the seven strategies tested, a strategy assigning the count of conditions within each cluster performed best at explaining all three outcomes but was inferior to using information on the individual LTCs. There was a larger range of effect sizes for the individual LTCs within the same cluster than there was between the clusters. Conclusion: Strategies of assigning clusters of co-occurring diseases to people were less effective at explaining health-related outcomes than a person's individual diseases. Furthermore, clusters did not represent consistent relationships of the LTCs within them, which might limit their application in clinical research.
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Background: Surgical video contains data with significant potential to improve surgical outcome assessment, quality assurance, education, and research. Current utilisation of surgical video recording is unknown and related policies/governance structures are unclear. Methods: A nationwide Freedom of Information (FOI) request concerning surgical video recording, technology, consent, access, and governance was sent to all acute National Health Service (NHS) trusts/boards in England/Wales between 20th February and 20th March 2023. Findings: 140/144 (97.2%) trusts/boards in England/Wales responded to the FOI request. Surgical procedures were routinely recorded in 22 trusts/boards. The median estimate of consultant surgeons routinely recording their procedures was 20%. Surgical video was stored on internal systems (n = 27), third-party products (n = 29), and both (n = 9). 32/140 (22.9%) trusts/boards ask for consent to record procedures as part of routine care. Consent for recording included non-clinical purposes in 55/140 (39.3%) trusts/boards. Policies for surgeon/patient access to surgical video were available in 48/140 (34.3%) and 32/140 (22.9%) trusts/boards, respectively. Surgical video was used for non-clinical purposes in 64/140 (45.7%) trusts/boards. Governance policies covering surgical video recording, use, and/or storage were available from 59/140 (42.1%) trusts/boards. Interpretation: There is significant heterogeneity in surgical video recording practices in England and Wales. A minority of trusts/boards routinely record surgical procedures, with large variation in recording/storage practices indicating scope for NHS-wide coordination. Revision of surgical video consent, accessibility, and governance policies should be prioritised by trusts/boards to protect key stakeholders. Increased availability of surgical video is essential for patients and surgeons to maximally benefit from the ongoing digital transformation of surgery. Funding: KL is supported by an NIHR Academic Clinical Fellowship and acknowledges infrastructure support for this research from the National Institute for Health Research (NIHR) Imperial Biomedical Research Centre (BRC).
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The telencephalon of ray-finned fishes undergoes eversion, which is very different to the evagination that occurs in most other vertebrates. Ventricle morphogenesis is key to build an everted telencephalon. Thus, here we use the apical marker zona occludens 1 to understand ventricle morphology, extension of the tela choroidea and the eversion process during early telencephalon development of four teleost species: giant danio (Devario aequipinnatus), blind cavefish (Astyanax mexicanus), medaka (Oryzias latipes), and paradise fish (Macroposus opercularis). In addition, by using immunohistochemistry against tubulin and calcium-binding proteins, we analyze the general morphology of the telencephalon, showing changes in the location and extension of the olfactory bulb and other telencephalic regions from 2 to 5 days of development. We also analyze the impact of abnormal eye and telencephalon morphogenesis on eversion, showing that cyclops mutants do undergo eversion despite very dramatic abnormal eye morphology. We discuss how the formation of the telencephalic ventricle in teleost fish, with its characteristic shape, is a crucial event during eversion.
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Peixes , Telencéfalo , Animais , Larva , Telencéfalo/anatomia & histologia , Vertebrados , MorfogêneseRESUMO
Objective: To determine the extent to which the choice of timeframe used to define a long term condition affects the prevalence of multimorbidity and whether this varies with sociodemographic factors. Design: Retrospective study of disease code frequency in primary care electronic health records. Data sources: Routinely collected, general practice, electronic health record data from the Clinical Practice Research Datalink Aurum were used. Main outcome measures: Adults (≥18 years) in England who were registered in the database on 1 January 2020 were included. Multimorbidity was defined as the presence of two or more conditions from a set of 212 long term conditions. Multimorbidity prevalence was compared using five definitions. Any disease code recorded in the electronic health records for 212 conditions was used as the reference definition. Additionally, alternative definitions for 41 conditions requiring multiple codes (where a single disease code could indicate an acute condition) or a single code for the remaining 171 conditions were as follows: two codes at least three months apart; two codes at least 12 months apart; three codes within any 12 month period; and any code in the past 12 months. Mixed effects regression was used to calculate the expected change in multimorbidity status and number of long term conditions according to each definition and associations with patient age, gender, ethnic group, and socioeconomic deprivation. Results: 9 718 573 people were included in the study, of whom 7 183 662 (73.9%) met the definition of multimorbidity where a single code was sufficient to define a long term condition. Variation was substantial in the prevalence according to timeframe used, ranging from 41.4% (n=4 023 023) for three codes in any 12 month period, to 55.2% (n=5 366 285) for two codes at least three months apart. Younger people (eg, 50-75% probability for 18-29 years v 1-10% for ≥80 years), people of some minority ethnic groups (eg, people in the Other ethnic group had higher probability than the South Asian ethnic group), and people living in areas of lower socioeconomic deprivation were more likely to be re-classified as not multimorbid when using definitions requiring multiple codes. Conclusions: Choice of timeframe to define long term conditions has a substantial effect on the prevalence of multimorbidity in this nationally representative sample. Different timeframes affect prevalence for some people more than others, highlighting the need to consider the impact of bias in the choice of method when defining multimorbidity.
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OBJECTIVES: To evaluate the validity and reliability of the new Fast Assessment of the Ocular Surface Trouble (FAST®) questionnaire for identifying glaucoma or ocular hypertension (OHT) patients at risk of ocular surface disease (OSD). METHODS: A multicenter, international, cross-sectional, epidemiological survey evaluated the most accurate interview items and ocular signs on the initial 14-item version of FAST® to develop a shorter version for routine, quick clinical use. Rasch analysis and least absolute shrinkage and selection operator (LASSO) method was used to reduce the number of items on the questionnaire. Sensitivity and specificity of FAST® were assessed with receiver operating characteristic (ROC) curves for the detection of OSD with the questionnaire and ophthalmic assessment. RESULTS: A total of 2308 eyes (1154 patients) were analyzed in this study by 92 ophthalmologists. The initial version of the FAST® indicated 60% of the subjects had OSD. Rasch analysis allowed removal of some clinical signs. The LASSO method allowed elimination of some items from the original questionnaire for a 9-item and a 6-item version of FAST®. For the 6-item questionnaire, the sensitivity and specificity were 71.9% and 74.3% respectively and the area under the curve was 0.815. CONCLUSIONS: The FAST® questionnaire is a valid and reliable tool for use in routine clinical practice and in clinical trials. The short versions of the questionnaire allow quick detection of the majority of patients with OHT or glaucoma at risk of dry eye.
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Tau hyperphosphorylation and aggregation is a common feature of many dementia-causing neurodegenerative diseases. Tau can be phosphorylated at up to 85 different sites, and there is increasing interest in whether tau phosphorylation at specific epitopes, by specific kinases, plays an important role in disease progression. The AMP-activated protein kinase (AMPK)-related enzyme NUAK1 has been identified as a potential mediator of tau pathology, whereby NUAK1-mediated phosphorylation of tau at Ser356 prevents the degradation of tau by the proteasome, further exacerbating tau hyperphosphorylation and accumulation. This study provides a detailed characterisation of the association of p-tau Ser356 with progression of Alzheimer's disease pathology, identifying a Braak stage-dependent increase in p-tau Ser356 protein levels and an almost ubiquitous presence in neurofibrillary tangles. We also demonstrate, using sub-diffraction-limit resolution array tomography imaging, that p-tau Ser356 co-localises with synapses in AD postmortem brain tissue, increasing evidence that this form of tau may play important roles in AD progression. To assess the potential impacts of pharmacological NUAK inhibition in an ex vivo system that retains multiple cell types and brain-relevant neuronal architecture, we treated postnatal mouse organotypic brain slice cultures from wildtype or APP/PS1 littermates with the commercially available NUAK1/2 inhibitor WZ4003. Whilst there were no genotype-specific effects, we found that WZ4003 results in a culture-phase-dependent loss of total tau and p-tau Ser356, which corresponds with a reduction in neuronal and synaptic proteins. By contrast, application of WZ4003 to live human brain slice cultures results in a specific lowering of p-tau Ser356, alongside increased neuronal tubulin protein. This work identifies differential responses of postnatal mouse organotypic brain slice cultures and adult human brain slice cultures to NUAK1 inhibition that will be important to consider in future work developing tau-targeting therapeutics for human disease.
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Doença de Alzheimer , Adulto , Humanos , Animais , Camundongos , Encéfalo , Anilidas , Emaranhados Neurofibrilares , Proteínas Quinases , Proteínas RepressorasAssuntos
Progressão da Doença , Trabeculectomia , Campos Visuais , Trabeculectomia/efeitos adversos , Humanos , Campos Visuais/fisiologia , Glaucoma/cirurgia , Glaucoma/fisiopatologia , Glaucoma de Ângulo Aberto/cirurgia , Glaucoma de Ângulo Aberto/fisiopatologia , Pressão Intraocular/fisiologia , Transtornos da Visão/fisiopatologia , Transtornos da Visão/etiologiaRESUMO
OBJECTIVES: The National Early Warning Score 2 (NEWS2) is validated for predicting acute deterioration, however, the binary grading of inspired oxygen fraction (FiO2) may limit performance. We evaluated the incorporation of FiO2 as a weighted categorical variable on NEWS2 prediction of patient deterioration. SETTING: Two hospitals at a single medical centre, Guy's and St Thomas' NHS Foundation Trust. DESIGN: Retrospective cohort of all ward admissions, with a viral respiratory infection (SARS-CoV-2/influenza). PARTICIPANTS: 3704 adult ward admissions were analysed between 01 January 2017 and 31 December 2021. METHODS: The NEWS-FiO2 score transformed FiO2 into a weighted categorical variable, from 0 to 3 points, substituting the original 0/2 points. The primary outcome was a composite of cardiac arrest, unplanned critical care admission or death within 24 hours of the observation. Sensitivity, positive predictive value (PPV), number needed to evaluate (NNE) and area under the receiver operating characteristic curve (AUROC) were calculated. Failure analysis for the time from trigger to outcome was compared by log-rank test. RESULTS: The mean age was 60.4±19.4 years, 52.6% were men, with a median Charlson Comorbidity of 0 (IQR 3). The primary outcome occurred in 493 (13.3%) patients, and the weighted FiO2 score was strongly associated with the outcome (p=<0.001). In patients receiving supplemental oxygen, 78.5% of scores were reclassified correctly and the AUROC was 0.81 (95% CI 0.81 to 0.81) for NEWS-FiO2 versus 0.77 (95% CI 0.77 to 0.77) for NEWS2. This improvement persisted in the whole cohort with a significantly higher failure rate for NEWS-FiO2 (p=<0.001). At the 5-point threshold, the PPV increased by 22.0% (NNE 6.7) for only a 3.9% decrease in sensitivity. CONCLUSION: Transforming FiO2 into a weighted categorical variable improved NEWS2 prediction for patient deterioration, significantly improving the PPV. Prospective external validation is required before institutional implementation.