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OBJECTIVES: This study aimed to summarize validity estimates of International Classification of Diseases (ICD) codes in identifying opioid overdose (OOD) among patient data from emergency rooms, emergency medical services, inpatient, outpatient, administrative, medical claims, and mortality, and estimate the sensitivity and specificity of the algorithms in the absence of a perfect reference standard. METHODS: We systematically reviewed studies published before December 8, 2023, and identified with Medline and Embase. Studies reporting sufficient details to recreate a 2 × 2 table comparing the ICD algorithms to a reference standard in diagnosing OOD-related events were included. We used Bayesian latent class models (BLCM) to estimate the posterior sensitivity and specificity distributions of five ICD-10 algorithms and of the imperfect coroner's report review (CRR) in detecting prescription opioid-related deaths (POD) using one included study. RESULTS: Of a total of 1990 studies reviewed, three were included. The reported sensitivity estimates of ICD algorithms for OOD were low (range from 25.0% to 56.8%) for ICD-9 in diagnosing non-fatal OOD-related events and moderate (72% to 89%) for ICD-10 in diagnosing POD. The last included study used ICD-9 for non-fatal and fatal and ICD-10 for fatal OOD-related events and showed high sensitivity (i.e. above 97%). The specificity estimates of ICD algorithms were good to excellent in the three included studies. The misclassification-adjusted ICD-10 algorithm sensitivity estimates for POD from BLCM were consistently higher than reported sensitivity estimates that assumed CRR was perfect. CONCLUSION: Evidence on the performance of ICD algorithms in detecting OOD events is scarce, and the absence of bias correction for imperfect tests leads to an underestimation of the sensitivity of ICD code estimates.

RéSUMé: OBJECTIFS: Cette étude avait pour objectifs de recenser les estimations de la validité des codes de Classification Internationale des Maladies (CIM) à diagnostiquer les cas de surdose aux opioïdes (SDO) chez des patients en utilisant les données de salles d'urgence, services médicaux d'urgence, hospitalisations, soins ambulatoires, services administratifs, demandes de remboursement de frais médicaux, ainsi que de mortalité, et d'estimer la sensibilité et la spécificité d'algorithmes utilisant la CIM en l'absence d'un test de référence parfait. MéTHODES: Nous avons examiné systématiquement les études publiées avant le 8 décembre 2023, et identifiées dans Medline et Embase. Les études rapportant suffisamment de détails permettant de recréer un tableau 2 × 2 comparant les algorithmes de la CIM à un test de référence pour le diagnostic d'événements liés aux SDO ont été incluses. Les données d'une étude éligible ont été utilisées pour estimer, avec des modèles Bayésiens de classes latentes (MBCL), les distributions a posteriori de la sensibilité et de la spécificité de cinq algorithmes de la CIM-10 et du test imparfait de révision du rapport du coroner (RRC) dans la détection des décès liés aux opioïdes de prescription (DOP). RéSULTATS: Trois parmi les 1 990 études examinées ont été retenues. Les estimations rapportées de la sensibilité des codes CIM étaient faibles (variant de 25,0 % à 56,8 %) pour CIM-9 dans le diagnostic des événements liés aux SDO non-fatales dans une étude, et modérées (72 % à 89 %) pour CIM-10 dans le diagnostic des DOP dans une autre étude. La dernière étude incluse combinait des codes CIM-9 pour les cas non-fatals et fatals et CIM-10 pour les cas fatals et démontrait des estimations de sensibilité élevées (c.à.d. supérieures à 97 %). Les estimations de la spécificité étaient bonnes à excellentes dans les trois études. Les estimations de la sensibilité des algorithmes de la CIM-10 corrigées pour les erreurs de classification pour les décès liés aux opioïdes, obtenues à partir de nos MBCL, étaient systématiquement plus élevées que celles rapportées et qui supposaient que RRC était un test parfait. CONCLUSION: Les évidences sur la performance des algorithmes de la CIM dans la détection des cas de SDO sont rares, et l'absence de correction de biais pour des tests diagnostiques imparfaits conduit à une sous-estimation de la sensibilité des codes de la CIM.

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BACKGROUND: Mendelian randomization (MR) studies investigating determinants of blood pressure (BP) do not account for antihypertensive medication consistently, which may explain discrepancies across studies. We performed an MR study of the association between body mass index (BMI) and systolic BP (SBP) using five methods to account for antihypertensive medication and evaluated their impact on the estimation of the causal effect and on the assessment of the invalidity of the instruments used in MR. METHODS: Baseline and follow-up data on 20 430 participants from the Canadian Longitudinal Study on Aging (CLSA) Comprehensive cohort (2011-2018) were used. The five methods to account for antihypertensive medication in the MR study were: no correction, adjustment for antihypertensive medication as a covariate in models, exclusion of treated individuals, addition of a constant value of 15 mmHg to measured values of SBP in treated individuals, and using hypertension as a binary outcome. RESULTS: The magnitude of the estimated MR causal effect for SBP (mmHg) varied across the methods of accounting for antihypertensive medication effects ranging from 0.68 (effect per 1 kg/m 2 increase in BMI) in scenario adjusting MR models for medication covariate to 1.35 in that adding 15 mmHg to measured SBP in treated individuals. Conversely, the assessment of the validity of the instruments did not differ across methods of accounting for antihypertensive medication. CONCLUSIONS: Methods to account for antihypertensive medication in MR studies may affect the estimation of the causal effects and must be selected with caution.

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BACKGROUND AND OBJECTIVE: Liver enzyme abnormalities (LEA) are extremely common and sometimes severe in individuals infected with human immunodeficiency virus (HIV), but data for this disorder are lacking in the developing countries. The objective of this study was to identify factors associated with LEA in HIV-hepatitis B virus (HBV)/hepatitis C virus (HCV) co-infected patients in Kinshasa, Democratic Republic of the Congo. METHODS: This cross-sectional analytical study included 180 people living with HIV (PLWHIV) mono-infected or co-infected with HBV/HCV between November 10, 2013 and January 10, 2014 in Kinshasa. Sociodemographic, clinical, biological, serological, and immunological data were analyzed. Levels of serum glutamate oxaloacetate transferase (SGOT) and serum glutamate pyruvate transaminase (SGPT) were determined. Antibody levels were determined using enzyme-linked immunosorbent assay (ELISA). RESULTS: The mean age of patients was 44.2±11.0 years; female sex was predominant (76.7%). Co-infection, mainly with HBV, but also HCV, was found in 43 (23.9%) patients. Elevated liver enzymes were found in 77 (42.8%) of the patients. No difference was found in the rate of liver enzyme abnormalities between patients with HIV mono-infection or HIV co-infection (46.7% versus 30.2%, respectively; P=0.08). Factors associated with LEA were age ≥50 years (adjusted odds ratio [OR] 2.7; 95% CI 1.4-5.5), duration of HIV infection >3 years (adjusted OR 2.7; 95% CI 1.4-5.5), and CD4 T cells count ≤303 cells/mm3 (adjusted OR 2.2; 95% CI 1.1-4.5). CONCLUSIONS: Liver enzyme abnormalities are frequent in patients co-infected with HIV-HBV/HCV as well as in HIV patients without co-infection. Diagnosis is determined based on age, immunodeficiency, and length of illness.

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Pleiotropy assessment is critical for the validity of Mendelian randomization (MR) analyses, and its management remains a challenging task for researchers. This review examines how the authors of MR studies address bias due to pleiotropy in practice. We reviewed Pubmed, Medline, Embase and Web of Science for MR studies published before 21 May 2020 that used at least one single-nucleotide polymorphism (SNP) in the fat mass and obesity-associated (FTO) gene as instrumental variable (IV) for body mass index, irrespective of the outcome. We reviewed: 1) the approaches used to prevent pleiotropy, 2) the methods cited to detect or control the independence or the exclusion restriction assumption highlighting whether pleiotropy assessment was explicitly stated to justify the use of these methods, and 3) the discussion of findings related to pleiotropy. We included 128 studies, of which thirty-three reported one approach to prevent pleiotropy, such as the use of multiple (independent) SNPs combined in a genetic risk score as IVs. One hundred and twenty studies cited at least one method to detect or account for pleiotropy, including robust and other IV estimation methods (n = 70), methods for detection of heterogeneity between estimated causal effects across IVs (n = 72), methods to detect or account associations between IV and outcome outside thought the exposure (n = 85), and other methods (n = 5). Twenty-one studies suspected IV invalidity, of which 16 explicitly referred to pleiotropy, and six incriminating FTO SNPs. Most reviewed MR studies have cited methods to prevent or to detect or control bias due to pleiotropy. These methods are heterogeneous, their triangulation should increase the reliability of causal inference.

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Cardiovascular disease (CVD) risk in type 2 diabetes mellitus (T2DM) increases with the development of albuminuria and is related in part to dyslipidemia. The present analysis assessed lipid profile and patterns of dyslipidemia in T2DM patients according to albuminuria status. This was a post hoc analysis of data from 181 T2DM patients seen at a tertiary health-care hospital and enrolled in a cross-sectional study of albuminuria status. Abnormal albuminuria was defined as microalbuminuria [albumin to creatinine ratio (ACR) 30-299.9 mg/g] or macro-albuminuria (ACR ≥300 mg/g). Atherogenic dyslipidemia was defined as triglycerides (TGs) ≥150 mg/dL and/or high-density lipoprotein-cholesterol (HDL-c) <40 mg/dL in men and <50 mg/dL in women using international consensus criteria. High levels of total cholesterol (TC), low-density lipoprotein-cholesterol (LDL-c), HDL-c, non-HDL-c, TG, and low level of HDL-c were defined according to 2012 American Association of Clinical Endocrinologists' guidelines. Comparisons between T2DM patients with and without abnormal albuminuria were done using Chi-square test, Student's t-test, or two-sample t-test with equal variance and Mann-Whitney test as appropriate. P< 0.05 defined the level of statistical significance. Of the 181 T2DM patients, 93 (51%) had abnormal albuminuria with 32% and 19% having microalbuminuria and macro-albuminuria, respectively. Average TC, HDL-c, HDL-c, non-HDL-c, and TG levels were 171 ± 41, 111 ± 36, 38 ± 16, 133 ± 38, and 98 (45-234) mg/dL, respectively. These values were significantly lower for TC (P = 0.047), LDL-c (P = 0.030), and non-HDL-c (P = 0.05) in comparison with patients with normal albuminuria. Low HDL-c (64.5%) and high TG (9.7%) were, respectively, the most and less frequent patterns of isolated dyslipidemia in patients with abnormal albuminuria. Atherogenic dyslipidemia with mainly low HDL-c levels is common in T2DM patients with abnormal albuminuria and could contribute to CVD and renal disease progression.

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BACKGROUND: Decreased residual urine volume (RUV) is associated with higher mortality in hemodialysis (HD). However, few studies have examined RUV in patients on HD in Sub-Saharan Africa. The aim of this study was to identify predictors of RUV among incident hemodialysis patients in Kinshasa. METHODS: This historical cohort study enrolled 250 patients with ESRD undergoing hemodialysis between January 2007 and July 2013 in two hemodialysis centers in Kinshasa. RUV were collected over 24 h at the initiation of HD and 6 and 12 months later during the interdialytic period. We compared the baseline characteristics of the patients according to their initial RUV (≤ 500 ml/day vs >  500 ml/day) using Student's t, Mann-Whitney U and Chi2 tests. Linear mixed-effects models were used to search for predictors of decreased RUV by adding potentially predictive baseline covariates of the evolution of RUV to the effect of time: age, sex, diabetes mellitus, hypertension, diastolic blood pressure, diuretics, angiotensin conversion enzyme inhibitors (ACEI), angiotensin receptor blockers, hypovolemia, chronic tubulointerstitial nephropathy, left ventricular hypertrophy and initial hemodialysis characteristic. A value of p < 0.05 was considered the threshold of statistical significance. RESULTS: The majority of hemodialysis patients were male (68.8%, sex ratio 2.2), with a mean age of 52.5 ± 12.3 years. The population's RUV decreased with time, but with a slight deceleration. The mean RUV values were 680 ± 537 ml/day, 558 ± 442 ml/day and 499 ± 475 ml/day, respectively, at the initiation of HD and at 6 and 12 months later. The use of ACEI at the initiation of HD (beta coefficient 219.5, p < 0.001) and the presence of chronic tubulointerstitial nephropathy (beta coefficient 291.8, p = 0.007) were significantly associated with RUV preservation over time. In contrast, the presence of left ventricular hypertrophy at the initiation of HD was significantly associated with decreased RUV over time (beta coefficient - 133.9, p = 0.029). CONCLUSIONS: Among incident hemodialysis patients, the use of ACEI, the presence of chronic tubulointerstitial nephropathy and reduced left ventricular hypertrophy are associated with greater RUV preservation in the first year of dialysis.

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A recent qualitative study on health promotion in non-communicable diseases in Sub-Saharan University students suggested sex differences in knowledge and beliefs concerning a healthy lifestyle. However, the extent to which this is reflected in sex-specific distribution of cardiovascular risk factors among Sub-Saharan African students have not been fully evaluated. The objective of this study was to assess the prevalence and the sex-specific distribution of some modifiable cardiovascular risk factors among students at University of Kikwit in the Democratic Republic of the Congo. This cross-sectional descriptive study included 780 students (62.2% men) at the University of Kikwit between January and March of 2016. Data on physical measurements, lifestyle factors, and medical history were collected. The median age (interquartile range) of the students was 23 years (21-25 years). The modifiable cardiovascular risk factors identified were: alcohol consumption (53.1%), overweight (16.4%), general obesity (1.9%), abdominal obesity (10.4%), tobacco consumption (8.1%), hypertension (7.6%) and high pulse pressure (6.4%). Compared to women, men had a higher prevalence of hypertension (9.9 vs. 3.7%; p = 0.002), tobacco consumption (10.7 vs. 3.7%; p = 0.001), and alcohol consumption (58.4 vs. 44.4%; p < 0.001). In contrast, abdominal obesity was more predominant in women than in men (23.1 vs. 2.7%; p < 0.001). This study suggests a sex-specific distribution of several modifiable cardiovascular risk factors in students at the University of Kikwit. Design of sex-specific, student-targeted health promotion programs may be warranted to reduce the prevalence of risk factors and the subsequent burden of cardiovascular diseases.

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BACKGROUND: Sickle cell anemia (SCA) is considered a major risk factor for renal complications. The main goal of this study was to determine the frequency of macroalbuminuria and microalbuminuria in Congolese children <18 years of age suffering from Sickle cell anemia and to identify associated factors. METHODS: The cross-sectional study was completed in 150 hemoglobin-SS children (77 boys and 73 girls). Microalbuminuria was defined by a urine albumin:creatinine ratio of 30-299 mg/g. RESULTS: The mean age of this group was 8.8 ± 4.3 years (range 2-18). Microalbuminuria was found in 27 children (18%). In multivariate logistic regression, only age emerged as a determinant of microalbuminuria odds ratio 1.11 (95% confidence interval 1.00-1.22); P = 0.042]. CONCLUSIONS: In our series, only age was a major determinant of the occurrence of microalbuminuria. These results confirm the need for early screening of microalbuminuria in Congolese children suffering from Sickle cell anemia in a context where access to renal and bone marrow transplant is nonexistent.

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AIM: Glomerular hyperfiltration is an early marker of sickle cell nephropathy and can lead to microalbuminuria and renal failure. Our aim was to identify the associated risk factors, as these could be of preventative importance. METHODS: We recruited 150 children with sickle cell anaemia (SCA), aged two to 18 years and living in Kinshasa, the Democratic Republic of Congo. Hyperfiltration and microalbuminuria were defined as an estimated glomerular filtration rate of less than 140 mL/min/1.73 m² and an albumin creatinine ratio of between 30 and 299 mg/g, respectively. Independent determinants of hyperfiltration were assessed using logistic regression analysis. RESULTS: Glomerular hyperfiltration was observed in 60 (40%) children, who were significantly older (10.2 ± 4.1 versus 7.9 ± 4.3 years, p = 0.001) and had a lower body mass index level (14.7 ± 2.3 versus 15.0 ± 2.3 kg/m2 ) than the 60% without. A higher proportion had microalbuminuria (25.0 versus 13.3%), but the difference was not statistically significant (p>0.05). Increased age and decreased body mass index were the main independent factors associated with glomerular hyperfiltration in the multivariate analysis. A quarter (25%) of the 60 children with SCA with glomerular hyperfiltration had microalbuminuria. CONCLUSION: Glomerular hyperfiltration was a common finding in this study and was significantly associated with age.

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BACKGROUND: In the Democratic Republic of Congo, the incidence of sickle cell anemia (SCA) is estimated around 40 000 neonates per year. However, it is notoriously difficult to perform conventional electrophoresis in all hospitals and laboratories, especially at peripheral levels and rural area. A panel of multiple clinical and laboratory features that would enhance sickle cell disease were assessed for the detection of the disease in highly resource-scarce settings. METHODS: A prospective study was conducted in Kinshasa. Venous blood samples were drawn from each study participant in order to determine the hematologic parameters, the peripheral smears, and the hemoglobin electrophoresis. We used Cohen's κ statistic to examine the agreement of each variable and diagnosis of sickle cell disease. RESULTS: A total of 807 patients were screened for sickle cell disease. Among these 807 children, 36 (4.5%) were homozygous for Hb S disease. The presence of at least 8% erythroblasts (PPV: 91%, NPV: 99%, sensitivity: 83.3%, specificity: 99.6%, κ value: .86) and sickle cells (PPV:100%, NPV: 98%, sensitivity: 50%, specificity: 100%, κ value: .66) in the peripheral blood smear had an acceptable agreement for sickle cell disease. CONCLUSION: These two biological markers may guide the clinician in the decision-making to initiate the management of the children as a sickle cell patient, pending confirmation of the disease by electrophoresis techniques.

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