scholarly journals Moderate to severe OSA screening based on support vector machine of the Chinese population faciocervical measurements dataset: a cross-sectional study

BMJ Open ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. e048482
Author(s):  
Liu Zhang ◽  
Ya Ru Yan ◽  
Shi Qi Li ◽  
Hong Peng Li ◽  
Ying Ni Lin ◽  
...  

ObjectivesObstructive sleep apnoea (OSA) has received much attention as a risk factor for perioperative complications and 68.5% of OSA patients remain undiagnosed before surgery. Faciocervical characteristics may screen OSA for Asians due to smaller upper airways compared with Caucasians. Thus, our study aimed to explore a machine-learning model to screen moderate to severe OSA based on faciocervical and anthropometric measurements.DesignA cross-sectional study.SettingData were collected from the Shanghai Jiao Tong University School of Medicine affiliated Ruijin Hospital between February 2019 and August 2020.ParticipantsA total of 481 Chinese participants were included in the study.Primary and secondary outcome(1) Identification of moderate to severe OSA with apnoea–hypopnoea index 15 events/hour and (2) Verification of the machine-learning model.ResultsSex-Age-Body mass index (BMI)-maximum Interincisal distance-ratio of Height to thyrosternum distance-neck Circumference-waist Circumference (SABIHC2) model was set up. The SABIHC2 model could screen moderate to severe OSA with an area under the curve (AUC)=0.832, the sensitivity of 0.916 and specificity of 0.749, and performed better than the STOP-BANG (snoring, tiredness, observed apnea, high blood pressure, BMI, age, neck circumference, and male gender) questionnaire, which showed AUC=0.631, the sensitivity of 0.487 and specificity of 0.772. Especially for asymptomatic patients (Epworth Sleepiness Scale <10), the SABIHC2 model demonstrated better predictive ability compared with the STOP-BANG questionnaire, with AUC (0.824 vs 0.530), sensitivity (0.892 vs 0.348) and specificity (0.755 vs 0.809).ConclusionThe SABIHC2 machine-learning model provides a simple and accurate assessment of moderate to severe OSA in the Chinese population, especially for those without significant daytime sleepiness.

BMJ Open ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. e028305 ◽  
Author(s):  
Patricia Caro ◽  
Ximena Guerra ◽  
Andrea Canals ◽  
Gerardo Weisstaub ◽  
Carlos Sandaña

ObjectivesNeck circumference has emerged as a predictor of obesity and metabolic syndrome, but its clinical usefulness for different groups of population is not clearly defined. The aim is to evaluate the predictive capacity of neck circumference in order to detect cardiovascular risks (CVRs) on the Chilean population and to compare it with waist circumference performance.DesignCross-sectional study.SettingGeneral Chilean population.ParticipantsData of 4607 adults aged 18 and over from the Chilean National Health Survey 2009–2010 were analysed.Primary and secondary outcome measuresAnthropometrics measures included neck and waist circumference, height and weight. CVR was identified according to the Framingham tables adapted for the Chilean population. Receiver operating characteristics curves and logistic regression models were made to evaluate the performance of neck circumference to predict a moderate/high CVR, comparing it to waist circumference.ResultsAlmost 10% of the sample had a moderate or high CVR. The probability of having a moderate/high cardiovascular risk increase with cervical obesity (OR 1.95, 95% CI 1.04 to 3.68) and central obesity (OR 4.5, 95% CI 2.47 to 8.22). The area under the curves were high for cervical obesity (AUC 81.4%, 95% CI 78.8% to 84.0%) and central obesity (AUC 82.2%, 95% CI 79.7% to 84.7%) and not statistically different (p=0.152).ConclusionsNeck obesity has a high capacity to predict moderate/high CVR in the Chilean population. Its good performance appears as an opportunity to use it in clinical practice when waist circumference measurement is difficult to measure and eventually replace the waist circumference measurement as the technique is easier.


BMJ Open ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. e039625
Author(s):  
Jason I Chiang ◽  
John Furler ◽  
Frances Mair ◽  
Bhautesh D Jani ◽  
Barbara I Nicholl ◽  
...  

ObjectivesTo explore the prevalence of multimorbidity as well as individual and combinations of long-term conditions (LTCs) in people with type 2 diabetes (T2D) attending Australian general practice, using electronic health record (EHR) data. We also examine the association between multimorbidity condition count (total/concordant(T2D related)/discordant(unrelated)) and glycaemia (glycated haemoglobin, HbA1c).DesignCross-sectional study.SettingAustralian general practice.Participants69 718 people with T2D with a general practice encounter between 2013 and 2015 captured in the MedicineInsight database (EHR Data from 557 general practices and >3.8 million Australian patients).Primary and secondary outcome measuresPrevalence of multimorbidity, individual and combinations of LTCs. Multivariable linear regression models used to examine associations between multimorbidity counts and HbA1c (%).ResultsMean (SD) age 66.42 (12.70) years, 46.1% female and mean (SD) HbA1c 7.1 (1.4)%. More than 90% of participants with T2D were living with multimorbidity. Discordant conditions were more prevalent (83.4%) than concordant conditions (69.9 %). The three most prevalent discordant conditions were: painful conditions (55.4%), dyspepsia (31.6%) and depression (22.8%). The three most prevalent concordant conditions were hypertension (61.4%), coronary heart disease (17.1%) and chronic kidney disease (8.5%). The three most common combinations of conditions were: painful conditions and hypertension (38.8%), painful conditions and dyspepsia (23.1%) and hypertension and dyspepsia (22.7%). We found no associations between any multimorbidity counts (total, concordant and discordant) or combinations and HbA1c.ConclusionsMultimorbidity was common in our cohort of people with T2D attending Australian general practice, but was not associated with glycaemia. Although we did not explore mortality in this study, our results suggest that the increased mortality in those with multimorbidity and T2D observed in other studies may not be linked to glycaemia. Interestingly, discordant conditions were more prevalent than concordant conditions with painful conditions being the second most common comorbidity. Better understanding of the implications of different patterns of multimorbidity in people with T2D will allow more effective tailored care.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Peng Sun ◽  
Mengqi Chen ◽  
Xiaofan Guo ◽  
Zhao Li ◽  
Ying Zhou ◽  
...  

Abstract Background To investigate the combined effect of hypertension and hyperuricemia to the risk of ischemic stroke in a rural Chinese population. Methods The cross-sectional study was conducted from 2012 to 2013 in a rural area of China. After exclusion for missing data, we finally included 11,731 participants into analysis. Results After adjusting for age, current smoking, current drinking, BMI, TG, HDL-C and eGFR, hypertension was significantly associated with ischemic stroke in men (OR: 2.783, 95% CI: 1.793, 4.320) and in women (OR: 4.800, 95% CI: 2.945, 7.822). However, hyperuricemia was significantly associated with ischemic stroke only in women (OR: 1.888, 95% CI: 1.244, 2.864). After full adjustment, participants with both hypertension and hyperuricemia had 8.9 times higher risk than those without them. Finally, the interaction between hypertension and hyperuricemia was statistically significant only in women rather than in men after full adjustment. Conclusions This study demonstrated the positive correlations between hypertension, hyperuricemia and ischemic stroke. Our study also demonstrated the joint effect between hypertension and hyperuricemia towards ischemic stroke only in women, not in men.


BMJ Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. e043814
Author(s):  
Mesfin Tadese ◽  
Andargachew Kassa ◽  
Abebaw Abeje Muluneh ◽  
Girma Altaye

ObjectivesThe study aimed to provide an association between dysmenorrhoea and academic performance among university students in Ethiopia. Further, the study attempts to determine the prevalence and associated risk factors of dysmenorrhoea.Design and methodInstitution-based cross-sectional study was conducted from 1 April to 28 April 2019. A semistructured and pretested self-administered questionnaire was used to collect data. Binary logistic regression analysis and one-way analysis of variance were performed to model dysmenorrhoea and academic performance, respectively.Setting and participantsEthiopia (2019: n=647 female university students).OutcomesThe primary outcome is dysmenorrhoea, which has been defined as painful menses that prevents normal activity and requires medication. The self-reported cumulative grade point average of students was used as a proxy measure of academic performance, which is the secondary outcome.ResultsThe prevalence of dysmenorrhoea was 317 (51.5%). The educational status of father (adjusted OR (AOR) (95% CI) 2.64 (1.04 to 6.66)), chocolate consumption (AOR (95% CI) 3.39 (95% 1.28 to 8.93)), daily breakfast intake (<5 days/week) (AOR (95% CI) 0.63 (0.42 to 0.95)), irregular menstrual cycle AOR (95% CI) 2.34 (1.55 to 3.54)) and positive family history of dysmenorrhoea AOR (95% CI) 3.29 (2.25 to 4.81)) had statistically significant association with dysmenorrhoea. There was no statistically significant difference in academic performance among students with and without dysmenorrhoea (F (3611)=1.276, p=0.28)).ConclusionsDysmenorrhoea was a common health problem among graduating University students. However, it has no statistically significant impact on academic performance. Reproductive health officers should educate and undermine the negative academic consequences of dysmenorrhoea to reduce the physical and psychological stress that happens to females and their families.


BMJ Open ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. e037913
Author(s):  
Mala George ◽  
Geert-Jan Dinant ◽  
Efrem Kentiba ◽  
Teklu Teshome ◽  
Abinet Teshome ◽  
...  

ObjectivesTo evaluate the performance of the predictors in estimating the probability of pulmonary tuberculosis (PTB) when all versus only significant variables are combined into a decision model (1) among all clinical suspects and (2) among smear-negative cases based on the results of culture tests.DesignA cross-sectional study.SettingTwo public referral hospitals in Tigray, Ethiopia.ParticipantsA total of 426 consecutive adult patients admitted to the hospitals with clinical suspicion of PTB were screened by sputum smear microscopy and chest radiograph (chest X-ray (CXR)) in accordance with the Ethiopian guidelines of the National Tuberculosis and Leprosy Program. Discontinuation of antituberculosis therapy in the past 3 months, unproductive cough, HIV positivity and unwillingness to give written informed consent were the basis of exclusion from the study.Primary and secondary outcome measuresA total of 354 patients were included in the final analysis, while 72 patients were excluded because culture tests were not done.ResultsThe strongest predictive variables of culture-positive PTB among patients with clinical suspicion were a positive smear test (OR 172; 95% CI 23.23 to 1273.54) and having CXR lesions compatible with PTB (OR 10.401; 95% CI 5.862 to 18.454). The regression model had a good predictive performance for identifying culture-positive PTB among patients with clinical suspicion (area under the curve (AUC) 0.84), but it was rather poor in patients with a negative smear result (AUC 0.64). Combining all the predictors in the model compared with only the independent significant variables did not really improve its performance to identify culture-positive (AUC 0.84–0.87) and culture-negative (AUC 0.64–0.69) PTB.ConclusionsOur finding suggests that predictive models based on clinical variables will not be useful to discriminate patients with culture-negative PTB from patients with culture-positive PTB among patients with smear-negative cases.


BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e043997
Author(s):  
Charilaos Lygidakis ◽  
Jean Paul Uwizihiwe ◽  
Michela Bia ◽  
Francois Uwinkindi ◽  
Per Kallestrup ◽  
...  

ObjectivesTo report on the disease-related quality of life of patients living with diabetes mellitus in Rwanda and identify its predictors.DesignCross-sectional study, part of the baseline assessment of a cluster-randomised controlled trial.SettingOutpatient clinics for non-communicable diseases of nine hospitals across Rwanda.ParticipantsBetween January and August 2019, 206 patients were recruited as part of the clinical trial. Eligible participants were those aged 21–80 years and with a diagnosis of diabetes mellitus for at least 6 months. Illiterate patients, those with severe hearing or visual impairments, those with severe mental health conditions, terminally ill, and those pregnant or in the postpartum period were excludedPrimary and secondary outcome measuresDisease-specific quality of life was measured with the Kinyarwanda version of the Diabetes-39 (D-39) questionnaire. A glycated haemoglobin (HbA1c) test was performed on all patients. Sociodemographic and clinical data were collected, including medical history, disease-related complications and comorbidities.ResultsThe worst affected dimensions of the D-39 were ‘anxiety and worry’ (mean=51.63, SD=25.51), ‘sexual functioning’ (mean=44.58, SD=37.02), and ‘energy and mobility’ (mean=42.71, SD=20.69). Duration of the disease and HbA1c values were not correlated with any of the D-39 dimensions. A moderating effect was identified between use of insulin and achieving a target HbA1c of 7% in the ‘diabetes control’ scale. The most frequent comorbidity was hypertension (49.0% of participants), which had a greater negative effect on the ‘diabetes control’ and ‘social burden’ scales in women. Higher education was a predictor of less impact on the ‘social burden’ and ‘energy and mobility’ scales.ConclusionsSeveral variables were identified as predictors for the five dimensions of quality of life that were studied, providing opportunities for tailored preventive programmes. Further prospective studies are needed to determine causal relationships.Trial registration numberNCT03376607.


BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e046060
Author(s):  
Alisha N Wade ◽  
Nigel J Crowther ◽  
Shafika Abrahams-Gessel ◽  
Lisa Berkman ◽  
Jaya A George ◽  
...  

ObjectivesWe investigated concordance between haemoglobin A1c (HbA1c)-defined diabetes and fasting plasma glucose (FPG)-defined diabetes in a black South African population with a high prevalence of obesity.DesignCross-sectional study.SettingRural South African population-based cohort.Participants765 black individuals aged 40–70 years and with no history of diabetes.Primary and secondary outcome measuresThe primary outcome measure was concordance between HbA1c-defined diabetes and FPG-defined diabetes. Secondary outcome measures were differences in anthropometric characteristics, fat distribution and insulin resistance (measured using Homoeostatic Model Assessment of Insulin Resistance (HOMA-IR)) between those with concordant and discordant HbA1c/FPG classifications and predictors of HbA1c variance.ResultsThe prevalence of HbA1c-defined diabetes was four times the prevalence of FPG-defined diabetes (17.5% vs 4.2%). Classification was discordant in 15.7% of participants, with 111 individuals (14.5%) having HbA1c-only diabetes (kappa 0.23; 95% CI 0.14 to 0.31). Median body mass index, waist and hip circumference, waist-to-hip ratio, subcutaneous adipose tissue and HOMA-IR in participants with HbA1c-only diabetes were similar to those in participants who were normoglycaemic by both biomarkers and significantly lower than in participants with diabetes by both biomarkers (p<0.05). HOMA-IR and fat distribution explained additional HbA1c variance beyond glucose and age only in women.ConclusionsConcordance was poor between HbA1c and FPG in diagnosis of diabetes in black South Africans, and participants with HbA1c-only diabetes phenotypically resembled normoglycaemic participants. Further work is necessary to determine which of these parameters better predicts diabetes-related morbidities in this population and whether a population-specific HbA1c threshold is necessary.


BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e050629
Author(s):  
Vanessa W Lim ◽  
Hwee Lin Wee ◽  
Phoebe Lee ◽  
Yijun Lin ◽  
Yi Roe Tan ◽  
...  

ObjectivesWHO recommends that low burden countries consider systematic screening and treatment of latent tuberculosis infection (LTBI) in migrants from high incidence countries. We aimed to determine LTBI prevalence and risk factors and evaluate cost-effectiveness of screening and treating LTBI in migrants to Singapore from a government payer perspective.DesignCross-sectional study and cost-effectiveness analysis.SettingMigrants in Singapore.Participants3618 migrants who were between 20 and 50 years old, have not worked in Singapore previously and stayed in Singapore for less than a year were recruited.Primary and secondary outcome measuresCosts, quality-adjusted life-years (QALYs), threshold length of stay, incremental cost-effectiveness ratios (ICERs), cost per active TB case averted.ResultsOf 3584 migrants surveyed, 20.4% had positive interferon-gamma release assay (IGRA) results, with the highest positivity in Filipinos (33.2%). Higher LTBI prevalence was significantly associated with age, marital status and past TB exposure. The cost-effectiveness model projected an ICER of S$57 116 per QALY and S$12 422 per active TB case averted for screening and treating LTBI with 3 months once weekly isoniazid and rifapentine combination regimen treatment compared with no screening over a 50-year time horizon. ICER was most sensitive to the cohort’s length of stay in Singapore, yearly disease progression rates from LTBI to active TB, followed by the cost of IGRA testing.ConclusionsFor LTBI screening and treatment of migrants to be cost-effective, migrants from high burden countries would have to stay in Singapore for ~50 years. Risk-stratified approaches based on projected length of stay and country of origin and/or age group can be considered.


BMJ Open ◽  
2017 ◽  
Vol 7 (10) ◽  
pp. e018010 ◽  
Author(s):  
Ji Eun Soh ◽  
Kyung-Moon Kim ◽  
Ji-Won Kwon ◽  
Hyung Young Kim ◽  
Ju-Hee Seo ◽  
...  

BackgroundRelationship between recurrent wheeze and airway function and inflammation in preschool children is not fully known.ObjectiveTo investigate the relationship between recurrent wheeze and airway inflammation, lung function, airway hyper-reactivity (AHR) and atopy in preschool children.DesignObservational study, comparing forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC) and mid-forced expiratory flow (FEF25%–75%), dose–response slope (DRS), exhaled nitric oxide (eNO) and atopic sensitisation between children with recurrent wheeze and those without.SettingPopulation-based, cross-sectional study in Seoul and the Gyeonggi province of Korea conducted as a government-funded programme to perform standardised measurement of the prevalence of allergic diseases, and related factors, in preschool children.Participants900 children aged 4–6 years.Primary and secondary outcome measureseNO, FEV1/FVC, FEF25%–75%, DRS, atopic sensitisation and allergic diseases.MethodsChildren completed the modified International Study of Asthma and Allergies in Childhood questionnaire and underwent eNO assessments, spirometry, methacholine bronchial provocation tests and skin prick tests. Recurrent wheeze was defined as having a lifetime wheeze of more than three episodes, based on the questionnaire. The frequency of hospitalisation and emergency room visits was also obtained by means of the questionnaire. ‘Current’ wheeze was defined as having symptoms or treatments within the past 12 months.ResultsThe prevalence of recurrent wheeze was 13.4%. Children with recurrent wheeze showed a higher prevalence of lifetime or current allergic rhinitis (p=0.01 and p=0.002, respectively) and lifetime atopic dermatitis (p=0.007). Children with recurrent wheeze showed lower FEV1/FVC (p=0.033) and FEF25%–75%(p=0.004), and higher eNO levels (p=0.013) than those without recurrent wheeze. However, the DRS, prevalence of atopic sensitisation and serum IgE levels were not significantly different between the two groups.ConclusionsRecurrent wheeze in preschool children may be associated with airway inflammation and diminished airway function, but not with AHR or atopy.


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