9 research outputs found

    Risk of obstructive sleep apnea and quality of sleep among adults with type 2 diabetes mellitus in a subSaharan Africa city

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    Introduction: diabetes mellitus (DM) and Obstructive Sleep Apnea (OSA) are two major and interconnected non-communicable diseases. Both negatively impact on sleep quality. This study aimed to determine among persons with type 2 DM, the proportions at high risk of OSA and of self-reported poor sleep quality along with their associated-factors in Parakou city, Benin. Methods: this was a cross-sectional prospective study of 100% (n=383) outpatient adults with type 2 DM, conducted between April and August 2019 in the three top centres managing diabetic persons in Parakou city. They were interviewed, examined and investigated using capillary fasting blood glucose tests. The STOP-Bang Questionnaire (SBQ) was used to determine the risk of OSA. Results: overall, their mean age was 57.37 (11.45) years. They were 61.62% (n=236) females and 38.38% (n=147) males. Sleep duration was insufficient in 26.89% (n=103). Nocturia was reported in 49.35% (n=189). The risk of OSA was high in 14.10% (n=54), intermediate in 24.80% (n=95) and low in 61.10% (n=234). Friedman Position Tongue Grade 3 (Adjusted Odds Ratio, aOR=2.48; 95%CI=1.11 - 5.55; p=0.025) and 4 (aOR=4.65; 95%CI=1.26 - 15.90; p=0.015) were independently associated with a high risk of OSA. The prevalence of reported poor sleep quality was 27.42% (n=105). Female gender (aOR=2.08; 95%CI=1.18-3.83; p=0.014), diabetic foot (aOR=5.07; 95%CI=1.15-23.63; p=0.031), nocturia (aOR=1.96; 95%CI=1.18-3.29; p=0.010), tiredness (aOR=2.77; 95%CI=1.26-6.23; p=0.012) and a high risk of OSA (aOR=3.31; 95%CI=1.28-8.93; p=0.015) were independently associated with a greater risk of reported poor sleep quality. Conclusion: in Parakou, the proportions of patients with type 2 DM at increased risk of OSA and with poor quality of sleep are relatively high. There is need for better systematic screening of OSA in persons with DM

    Factori asociați cu COVID-19: studiu comparativ caz-control în Benin

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    Introduction. Although there are several previous publications related to risk factors of COVID-19 infection in Benin, there are very few data to explain the outbreak risk factors. Material and methods.This case-control study, conducted from 14 September to 20 October 2020, aimed to identify the risk factors associated with COVID-19 infection in Benin. Questions on knowledge, attitudes, and practices related to COVID-19, sociodemographic characteristics, nutritional factors, medical history, housing and working conditions of respondents were asked through a questionnaire survey. Bivariate and multivariate logistic regression analyses were conducted to identify the factors associated with COVID-19. The statistical significance was set at 5%. Results. In multivariate logistic regression, no handwashing device installed at the home entrance (ORa=1.86; 95% CI [1.07-3.21]) or a device delivering only water (ORa=5.57; 95% CI [1.98-15.65]), using permanently airconditioning at workplaces (ORa=5.48; 95% CI [2.40-12.57]), less knowledge of protective measures (ORa=1.41; 95% CI [1.08-1.84]) and no knowledge on the coronavirus incubation period (ORa=4.19; 95% CI [2.37-7.44]) were identified as risk factors for COVID-19 infection. Conclusions. Based on the findings of this study, a contextual response should prioritize strategies that will raise awareness and population’s knowledge of COVID-19 as well as preventive practices.Introducere. Deși există mai multe publicații cu referire la factorii de risc ai infecției COVID-19 în Benin, sunt prezentate însă foarte puține date care să explice factorii de risc în perioada de epidemie. Material si metode. Acest studiu caz-control, realizat în perioada 14 septembrie–20 octombrie 2020, și-a propus să identifice factorii de risc asociați cu infecția COVID-19 în Benin. Respondenților, prin intermediul unui chestionar, le-au fost adresate întrebări privind cunoștințele, atitudinile și practicile legate de COVID-19, caracteristicile socio-demografice, factorii nutriționali, istoricul medical, locuința și condițiile de muncă. Au fost efectuate analize de regresie logistică bivariată și multivariată, pentru a identifica factorii asociați cu COVID-19. Semnificația statistică a fost stabilită la 5%. Rezultate. Cu ajutorul regresiei logistice multivariate, au fost identificați drept factori de risc pentru infecția cu COVID-19: lipsa unui dispozitiv de spălat mâinile instalat la intrarea în casă (ORa=1,86; 95% CI [1,07-3,21]) sau al unui dispozitiv care furnizează apă (ORa=5,57; 95% CI [1,98-15,65]), prezența aerului condiționat la locurile de muncă (ORa=5,48; 95% CI [2,40-12,57]), cunoștințe insuficiente despre măsurile de protecție (ORa=1,41; 95% CI [1,08-1,84]) și lipsă de cunoștințe privind perioada de incubație a coronavirusului (ORa=4,19 ; 95% CI [2,37-7,44]). Concluzii. Pe baza constatărilor acestui studiu, un răspuns contextual ar trebui să prioritizeze strategiile care vor crește gradul de conștientizare și cunoaștere de către populație despre COVID-19, precum și practicile preventive

    Tuberculosis screening among ambulatory people living with HIV: a systematic review and individual participant data meta-analysis.

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    BackgroundThe WHO-recommended tuberculosis screening and diagnostic algorithm in ambulatory people living with HIV is a four-symptom screen (known as the WHO-recommended four symptom screen [W4SS]) followed by a WHO-recommended molecular rapid diagnostic test (eg Xpert MTB/RIF [hereafter referred to as Xpert]) if W4SS is positive. To inform updated WHO guidelines, we aimed to assess the diagnostic accuracy of alternative screening tests and strategies for tuberculosis in this population.MethodsIn this systematic review and individual participant data meta-analysis, we updated a search of PubMed (MEDLINE), Embase, the Cochrane Library, and conference abstracts for publications from Jan 1, 2011, to March 12, 2018, done in a previous systematic review to include the period up to Aug 2, 2019. We screened the reference lists of identified pieces and contacted experts in the field. We included prospective cross-sectional, observational studies and randomised trials among adult and adolescent (age ≥10 years) ambulatory people living with HIV, irrespective of signs and symptoms of tuberculosis. We extracted study-level data using a standardised data extraction form, and we requested individual participant data from study authors. We aimed to compare the W4SS with alternative screening tests and strategies and the WHO-recommended algorithm (ie, W4SS followed by Xpert) with Xpert for all in terms of diagnostic accuracy (sensitivity and specificity), overall and in key subgroups (eg, by antiretroviral therapy [ART] status). The reference standard was culture. This study is registered with PROSPERO, CRD42020155895.FindingsWe identified 25 studies, and obtained data from 22 studies (including 15 666 participants; 4347 [27·7%] of 15 663 participants with data were on ART). W4SS sensitivity was 82% (95% CI 72-89) and specificity was 42% (29-57). C-reactive protein (≥10 mg/L) had similar sensitivity to (77% [61-88]), but higher specificity (74% [61-83]; n=3571) than, W4SS. Cough (lasting ≥2 weeks), haemoglobin (2), and lymphadenopathy had high specificities (80-90%) but low sensitivities (29-43%). The WHO-recommended algorithm had a sensitivity of 58% (50-66) and a specificity of 99% (98-100); Xpert for all had a sensitivity of 68% (57-76) and a specificity of 99% (98-99). In the one study that assessed both, the sensitivity of sputum Xpert Ultra was higher than sputum Xpert (73% [62-81] vs 57% [47-67]) and specificities were similar (98% [96-98] vs 99% [98-100]). Among outpatients on ART (4309 [99·1%] of 4347 people on ART), W4SS sensitivity was 53% (35-71) and specificity was 71% (51-85). In this population, a parallel strategy (two tests done at the same time) of W4SS with any chest x-ray abnormality had higher sensitivity (89% [70-97]) and lower specificity (33% [17-54]; n=2670) than W4SS alone; at a tuberculosis prevalence of 5%, this strategy would require 379 more rapid diagnostic tests per 1000 people living with HIV than W4SS but detect 18 more tuberculosis cases. Among outpatients not on ART (11 160 [71·8%] of 15 541 outpatients), W4SS sensitivity was 85% (76-91) and specificity was 37% (25-51). C-reactive protein (≥10 mg/L) alone had a similar sensitivity to (83% [79-86]), but higher specificity (67% [60-73]; n=3187) than, W4SS and a sequential strategy (both test positive) of W4SS then C-reactive protein (≥5 mg/L) had a similar sensitivity to (84% [75-90]), but higher specificity than (64% [57-71]; n=3187), W4SS alone; at 10% tuberculosis prevalence, these strategies would require 272 and 244 fewer rapid diagnostic tests per 1000 people living with HIV than W4SS but miss two and one more tuberculosis cases, respectively.InterpretationC-reactive protein reduces the need for further rapid diagnostic tests without compromising sensitivity and has been included in the updated WHO tuberculosis screening guidelines. However, C-reactive protein data were scarce for outpatients on ART, necessitating future research regarding the utility of C-reactive protein in this group. Chest x-ray can be useful in outpatients on ART when combined with W4SS. The WHO-recommended algorithm has suboptimal sensitivity; Xpert for all offers slight sensitivity gains and would have major resource implications.FundingWorld Health Organization

    Challenges and knowledge gaps in the management of non-tuberculous mycobacterial pulmonary disease in sub-Saharan African countries with a high tuberculosis burden: a scoping review

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    Introduction In sub-Saharan African (SSA) countries endemic for tuberculosis (TB), previous TB is a significant risk factor for non-tuberculous mycobacterial pulmonary disease (NTM-PD). The deployment of GeneXpert MTB/RIF in pulmonary TB diagnostic work-up regularly identifies symptomatic patients with a positive smear microscopy but negative GeneXpert, indicative of NTM presence. This scoping review outlines recent evidence for NTM-PD diagnosis and management in SSA.Objective The review’s objective was to outline the risk factors, available diagnostics, management options and outcomes of NTM-PD in high-burden TB settings in SSA using the population-concept-context framework.Design and data sources We searched existing literature from PubMed, Web of Science, African Journals Online, Google Scholar and grey literature. Studies published between January 2005 and December 2022 were retained. Data were extracted into Rayyan software and Mendeley and summarised using Excel.Results We identified 785 potential articles, of which 105 were included in the full-text review, with 7 papers retained. Included articles used international criteria for diagnosing NTM-PD. Multiple papers were excluded due to non-application of the criteria, suggesting challenging application in the SSA setting. Identified risk factors include previous TB, smoking and mining. Most commonly, chest radiography and not CT was used for the radiological diagnosis of PD, which may miss early changes related to NTM-PD. Molecular methods for NTM species identification were employed in research settings, usually at referral centres, but were unavailable for routine care. Most studies did not report a standardised approach to treatment and they were not offered treatment for the specific disease, marking a lack of guidance in treatment decision-making. When treatment was provided, the outcome was often not reported due to the lack of implementation of standardised outcome definitions.Conclusions These outlined challenges present a unique opportunity for researchers to undertake further studies in NTM-PD and proffer solutions more applicable to SSA

    Spot specimen testing with GeneXpert MTB/RIF results compared to morning specimen in a programmatic setting in Cotonou, Benin

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    BACKGROUND: The diagnosis of tuberculosis (TB) using smear microscopy has been based on testing two specimens: one spot and one early morning sputa. Recently, the World Health Organization (WHO) has recommended to replace, whenever possible, microscopy with GeneXpert® MTB/RIF performed on a single specimen. However, as the bacterial load is higher in early morning specimens than in spot specimens, one could expect lower sensitivity of GeneXpert® MTB/RIF performed only on spot specimens. In this study, we compared results of GeneXpert® MTB/RIF on spot specimens versus early morning specimens, under programmatic conditions in Cotonou, Benin. METHODS: From June to September 2018, all sputa received from presumptive TB patients at the Supranational Reference Laboratory for Tuberculosis of Cotonou were included in the study. From each patient, two specimens were collected (one spot and one early morning) and GeneXpert® MTB/RIF was performed on both specimens. RESULTS: In total, 886 participants were included in the study, of whom 737 provided both sputa and 149 (16.8%) gave only the spot specimen. For the 737 participants who provided both sputa, GeneXpert® MTB/RIF was positive for both specimens in 152 participants; for three participants GeneXpert® MTB/RIF was positive on spot specimen but negative on morning specimen while for another three, the test was positive on morning specimen but negative on spot specimen. The overall percentage of agreement was excellent (99.2%) with a positive and negative percent agreement greater than 98%. CONCLUSION: For TB diagnosis under programmatic conditions in Cotonou, GeneXpert® MTB/RIF in spot specimens gave similar results with the test in morning specimens. Performing GeneXpert® MTB/RIF in both specimens did not significantly increase the number of cases detected. To avoid losing patients from the diagnostic cascade, it is preferable to test sputa produced at the time of the first visit at the health center. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-021-06676-6

    Prevalence of sleep-disordered breathing in an African general population: The Benin Society and Sleep (BeSAS) study

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    International audienceBackground: Data on the prevalence of sleep-disordered breathing (SDB) in the African general population are scarce, and a better understanding is urgently needed. Our study aimed to objectively determine the prevalence of, and factors associated with, SDB in a large sample in Benin, west Africa.Methods: In the Benin Society and Sleep (BeSAS) cross-sectional study, participants aged 25 years and older were recruited from both urban and rural areas. Rural participants were recruited from Tanve, a village located 200 km north of Cotonou, and urban participants were recruited from Cotonou. The participants underwent respiratory polygraphy at home using a type-3 device that measures airflow through a nasal pressure sensor, respiratory effort (thoracic movement), and pulse oximetry. Clinical and morphometric data were also collected. SDB severity categories were defined according to the apnoea-hypopnoea index (AHI), with mild-to-severe SDB (AHI ≥5/h), moderate-to-severe SDB (AHI ≥15/h), and severe SDB (AHI ≥30/h).Findings: The study was completed from April 4, 2018 to Jan 15, 2021. Of 2909 participants recruited in the BeSAS study, 2168 (74·5%) underwent respiratory polygraphy. For the 1810 participants with complete polygraphic data (mean age 46 years, SD 15; 1163 [64·2%] women), the prevalence of mild-to-severe SDB (AHI ≥5/h) was 43·2% (95% CI 40·9-45·5), of moderate-to-severe SDB (AHI ≥15/h) was 11·6% (10·2-13·1), and of severe SDB (AHI ≥30/h) was 2·7% (2·0-3·5). Factors independently associated with SDB were advanced age, male sex, large neck circumference, abdominal obesity, overweight or obesity, and snoring. After multivariable adjustment, severe SDB was independently associated with hypertension in women (odds ratio 3·99, 95% CI 1·04-15·33; ptrend=0·044), but not in men (odds ratio 0·67, 0·22-2·05; Ptrend=0·63).Interpretation: The BeSAS study provides the first large-scale objective evaluation of SDB prevalence and associated factors in Africa. The high prevalence of SDB identified should stimulate the development of public health policies to prevent and treat this condition in African countries

    Research capacity. Enabling the genomic revolution in Africa.

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