Clinical and laboratory profiles of systemic lupus erythematosus patients in a new rheumatology clinic in southwestern Nigeria.

Introduction: The aims were to study the sociodemographic characteristics of patients presenting to the clinic and to study the clinical and serological pattern of systemic lupus erythematosus (SLE) in a new rheumatology clinic of a predominantly Yoruba population. Material and methods: This was a retrospective, cross-sectional study conducted over 7 years (January 2017 - December 2023). Patients who satisfied the 1997 American College of Rheumatology (ACR) and/or the 2012 Systemic Lupus International Collaborating Clinics (SLICC) classification criteria were enrolled using their medical records. Patients with overlap syndromes and other inflammatory or noninflammatory rheumatic diseases were excluded from the study. Their sociodemographic, clinical, laboratory, and treatment data were retrieved from their medical records and analysed using IBM SPSS version 23.0 software. Results: A total of 65 patients were diagnosed with SLE with a frequency of 15.8%. The mean age ±SD of the patients at presentation was 33.85 years ±11.01 and the female to male ratio was 9.8 : 1. The median (IQR) duration of symptoms at presentation was 7.0 months (3-24). The common clinical presentations included synovitis (86.2%), acute cutaneous rash (53.8%), oral ulcers (52.3%), nonscarring alopecia (50.8%), and serositis (47.7%). Proteinuria was seen in 37.7% of the patients and the predominant renal histopathological feature was Class IV. Antinuclear antibody was 100% positive with 50.94% of the patients having a titre of 1 : 5,120 and above. Anti-double-stranded deoxyribonucleic acid and anti-Smith antibodies each had 50% prevalence. Dyslipidaemia was found in 76.7% of the patients. Conclusions: The study's findings are largely consistent with similar studies done in Africa. Further prospective multi-centred studies are needed to further determine the epidemiological characteristics of the disease in Nigeria with a multi-ethnic population.

Immediate lymph node extraction improves retrieval rate following axillary lymph node dissection: an effective approach to improving guideline-concordant breast cancer care in Nigeria.

Background: Axillary lymph node staging is essential for making therapeutic decisions and for prognostication. A minimum of ten lymph nodes is recommended for accurate staging. This study describes the process and outcomes of an audit cycle that resulted in a novel intervention instituted to improve concordance with guidelines. Methods: The study began with a retrospective audit of lymph node retrieval following axillary lymph node dissection (ALND). Subsequent phases evaluated the efficacy of immediate lymph node extraction before fixation by comparing the mean number of lymph nodes and the proportion of guideline-concordant cases to retrospective data and concurrent cases without the intervention. Results: The mean number of lymph nodes retrieved in the retrospective phase was 5.2, which is less than the recommended threshold. The intervention resulted in a significant increase in lymph node retrieval over the baseline rate (13.7 versus 5.2, p = 0.026). There was also a significantly higher number of lymph nodes following the intervention compared to concurrent cases managed during the same period without the intervention (13.7 versus 7.9, p = 0.004). The concordance rate was 89% in the intervention group compared to 47% in the non-intervention group (p = 0.019). There was no significant difference when the intervention was administered by either surgeons or pathologists (13.5 versus 12, p = 0.25). Conclusion: Immediate extraction of lymph nodes resulted in significant improvement of concordant lymph node retrieval in all phases of the study. We recommend that this practice be validated in larger cohorts for possible recommendation as an effective way of improving lymph node retrieval following ALND.

Convolutional Neural Networks for the Evaluation of Chronic and Inflammatory Lesions in Kidney Transplant Biopsies.

In kidney transplant biopsies, both inflammation and chronic changes are important features that predict long-term graft survival. Quantitative scoring of these features is important for transplant diagnostics and kidney research. However, visual scoring is poorly reproducible and labor intensive. The goal of this study was to investigate the potential of convolutional neural networks (CNNs) to quantify inflammation and chronic features in kidney transplant biopsies. A structure segmentation CNN and a lymphocyte detection CNN were applied on 125 whole-slide image pairs of periodic acid-Schiff- and CD3-stained slides. The CNN results were used to quantify healthy and sclerotic glomeruli, interstitial fibrosis, tubular atrophy, and inflammation within both nonatrophic and atrophic tubuli, and in areas of interstitial fibrosis. The computed tissue features showed high correlation with Banff lesion scores of five pathologists (A.A., A.Dend., J.H.B., J.K., and T.N.). Analyses on a small subset showed a moderate correlation toward higher CD3+ cell density within scarred regions and higher CD3+ cell count inside atrophic tubuli correlated with long-term change of estimated glomerular filtration rate. The presented CNNs are valid tools to yield objective quantitative information on glomeruli number, fibrotic tissue, and inflammation within scarred and non-scarred kidney parenchyma in a reproducible manner. CNNs have the potential to improve kidney transplant diagnostics and will benefit the community as a novel method to generate surrogate end points for large-scale clinical studies.

Clinicopathological Profile of Central Nervous System Tumors in a Tertiary Hospital in Southwest Nigeria.

Background: Central nervous system tumors are a complex heterogeneous group of neoplasm comprising both benign and malignant tumors with varied patterns in clinical picture and histologic profile. There have been some similarities and differences seen in the pattern of clinicopathological profile worldwide, however, there is a paucity of study to show the pattern in Nigeria. Aim: This study aimed at describing the clinical and histopathological pattern of central nervous system tumors in our institution. Materials and Methods: This was a retrospective review of cases of central nervous tumors from 2010 to 2021. Information on clinical presentations and histopathology of the tumors were reviewed and analyzed. Results: We found 115 cases of central nervous system tumor with a mean age of 43.7 years and female preponderance. The most common presentations were headache (59 cases, 55.5%) for brain tumors and neck/back pain (16 cases, 100%) for spinal tumors. Supratentorial tumors were the most common accounting for (69 cases, 60%), and sellar region, the commonest site accounting for (25 cases, 29%) of primary brain tumors. Neuroepithelial tumors accounted for the majority (35 cases, 30.4%). Conclusion: Central nervous system tumors were most common in the 5th decade with female preponderance. Neuroepithelial tumors have the highest incidence in the tumor groups.