Understanding the molecular and phenotypic profile of colorectal cancer (CRC) in West Africa is vital to addressing the regions rising burden of disease. Tissue from unselected Nigerian patients was analyzed with a multigene, next-generation sequencing assay. The rate of microsatellite instability is significantly higher among Nigerian CRC patients (28.1%) than patients from The Cancer Genome Atlas (TCGA, 14.2%) and Memorial Sloan Kettering Cancer Center (MSKCC, 8.5%, P < 0.001). In microsatellite-stable cases, tumors from Nigerian patients are less likely to have APC mutations (39.1% vs. 76.0% MSKCC P < 0.001) and WNT pathway alterations (47.8% vs. 81.9% MSKCC, P < 0.001); whereas RAS pathway alteration is more prevalent (76.1% vs. 59.6%, P = 0.03). Nigerian CRC patients are also younger and more likely to present with rectal disease (50.8% vs. 33.7% MSKCC, P < 0.001). The findings suggest a unique biology of CRC in Nigeria, which emphasizes the need for regional data to guide diagnostic and treatment approaches for patients in West Africa.
There is an increasing effort in the global public health community to strengthen research capacity in low- and middle-income countries, but there is no consensus on how best to approach such endeavors. Successful consortia that perform research on HIV/AIDS and other infectious diseases exist, but few papers have been published detailing the challenges faced and lessons learned in setting up and running a successful research consortium. Drawing on our experience of founding the African Research Group for Oncology (ARGO), we describe steps and key factors needed to establish a successful collaborative consortium between researchers from both high- and low-income countries. In addition, we present challenges we encountered in building our consortium, and how we managed those challenges. Although our research group is focused primarily on cancer, many of our lessons learned can be applied more widely in biomedical or public health research in low-income countries.
Background and aimsTo determine renal volume in adult patients with essential hypertension and correlate it with age, sex, body mass index (BMI), body surface area (BSA) and duration of hypertension.Patients and methodsA total of 150 patients (75 males, 75 females) with essential hypertension and normal renal status were evaluated sonographically in this prospective study. Fifty healthy individuals (25 males, 25 females) without hypertension were also evaluated as control. Renal volume was then calculated from the kidney's length, width and anterio-posterior diameter using the formula L×W×AP×0.523.ResultsThe range of renal volume obtained was 51.65–205.02 cm3, with a mean of 114.06 ± 29.78 cm3 for the left kidney and 47.37–177.50 cm3 with a mean of 106.14 ± 25.42 cm3 for the right kidney. The mean volumes of the right and left kidneys in males (112.98 ± 25.56 cm3 and 123.11 ± 32.49 cm3, respectively), were significantly higher than in females (99.31 ± 23.07 cm3 and 105.01 ± 23.77 cm3, respectively). Renal volume correlated significantly with BSA and BMI, but decreased with age. The renal volume showed no correlation with duration of hypertension.ConclusionRenal volume is higher in the left than the right kidney in hypertensive patients of both sexes and female hypertensive patients have smaller kidney size compared to males. The study also shows that volume of both kidneys decreases with age and positive correlation between renal volume, BSA and BMI. However, there is no correlation between renal size and duration of hypertension.
Background and Purpose: To identify the qualitative and quantitative contributions of conventional risk factors for occurrence of ischemic stroke and its key pathophysiologic subtypes among West Africans. Methods: The SIREN (Stroke Investigative Research and Educational Network) is a multicenter, case-control study involving 15 sites in Ghana and Nigeria. Cases include adults aged ≥18 years with ischemic stroke who were etiologically subtyped using the A-S-C-O-D classification into atherosclerosis, small-vessel occlusion, cardiac pathology, other causes, and dissection. Controls were age- and gender-matched stroke-free adults. Detailed evaluations for vascular, lifestyle, and psychosocial factors were performed. We used conditional logistic regression to estimate adjusted odds ratios with 95% CI. Results: There were 2431 ischemic stroke case and stroke-free control pairs with respective mean ages of 62.2±14.0 versus 60.9±13.7 years. There were 1024 (42.1%) small vessel occlusions, 427 (17.6%) large-artery atherosclerosis, 258 (10.6%) cardio-embolic, 3 (0.1%) carotid dissections, and 719 (29.6%) undetermined/other causes. The adjusted odds ratio (95% CI) for the 8 dominant risk factors for ischemic stroke were hypertension, 10.34 (6.91–15.45); dyslipidemia, 5.16 (3.78–7.03); diabetes, 3.44 (2.60–4.56); low green vegetable consumption, 1.89 (1.45–2.46); red meat consumption, 1.89 (1.45–2.46); cardiac disease, 1.88 (1.22–2.90); monthly income $100 or more, 1.72 (1.24–2.39); and psychosocial stress, 1.62 (1.18–2.21). Hypertension, dyslipidemia, diabetes were confluent factors shared by small-vessel, large-vessel and cardio-embolic subtypes. Stroke cases and stroke-free controls had a mean of 5.3±1.5 versus 3.2±1.0 adverse cardio-metabolic risk factors respectively ( P <0.0001). Conclusions: Traditional vascular risk factors demonstrate important differential effect sizes with pathophysiologic, clinical and preventative implications on the occurrence of ischemic stroke among indigenous West Africans.
Background Technology acceptability and usage surveys (TAUS) are brief questionnaires that measure technology comfort, typical daily use, and access in a population. However, current measures are not adapted to low- and middle-income country (LMIC) contexts. Objective The objective of this pilot study was to develop a TAUS that could be used to inform the implementation of a mobile health (mHealth) intervention in Nigeria. Methods A literature review of validated technology comfort and usage scales was conducted to identify candidate items. The draft measure was reviewed for face validity by an expert panel comprised of clinicians and researchers with cultural, methodological, and clinical expertise. The measure was piloted by radiologists at an oncology symposium in Nigeria. Results After expert review, the final measure included 18 items organized into 3 domains: (1) comfort with using mobile applications, (2) reliability of internet or electricity, and (3) attitudes toward using computers or mobile applications in clinical practice. The pilot sample (n=16) reported high levels of comfort and acceptability toward using mHealth applications in the clinical setting but faced numerous infrastructure challenges. Conclusions Pilot results indicate that the TAUS may be a feasible and appropriate measure for assessing technology usage and acceptability in LMIC clinical contexts. Dedicating a domain to technology infrastructure and access yielded valuable insights for program implementation.
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