Complete blood count (CBC)-derived parameters such as neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), eosinophil-to-lymphocyte (ELR) ratio, and platelet-to-lymphocyte ratio (PLR) are sensitive markers of occult inflammation and disease activity for systemic lupus erythematosus, rheumatoid arthritis, psoriasis, esophageal cancer, etc. We assessed NLR, PLR, MLR, and ELR as indicators of inflammation in achalasia patients. This cross-sectional study included 103 achalasia patients and 500 healthy blood donor volunteers (HD). Demographic, clinical and laboratory information was collected. NLR, MLR, ELR and PLR were calculated. Peripheral Th22, Th17, Th2 and Th1 subsets were determined by flow cytometry. Correlation between hematologic indices and clinical questionnaires scores, HRM parameters and CD4+ T-cells were assessed. Hematologic parameters associated with the different achalasia subtypes were evaluated by logistic regression analysis. Hemoglobin, leukocytes, lymphocytes, monocytes, and platelets counts were significantly lower in achalasia patients vs controls. NLR ( P = .006) and ELR ( P < .05) were higher in achalasia patients vs controls. NLR was significantly associated with achalasia in multivariate analysis ( P < .001). Compared to HD, the achalasia group was 1.804 times more likely to have higher NLR (95% CI 1.287–2.59; P < .001). GERD-HRQL score had statistically significant correlations with PLR (Pearson's rho:0.318, P = .003), and ELR (Pearson's rho:0.216; P = .044). No correlation between CD4+ T-cells and hematologic indices were determined. NLR with a cut-off value of ≥2.20 and area under the curve of 0.581 yielded a specificity of 80% and sensitivity of 40%, for the diagnosis of achalasia. NLR is increased in achalasia patients vs HD. Sensitivity and specificity achieved by NLR may contribute to a clinical and manometric evaluation. We suggest these indices as potential indicators of silent inflammation and disease activity.

Background The Gambia has one of the lowest survival rates for breast cancer in Africa. Contributing factors are late presentation, delays within the healthcare system, and decreased availability of resources. We aimed to characterize the capacity and geographic location of healthcare facilities in the country and calculate the proportion of the population with access to breast cancer care. Methods A facility-based assessment tool was administered to secondary and tertiary healthcare facilities and private medical centers and clinics in The Gambia. GPS coordinates were obtained, and proximity of service availability and population analysis were performed. Distance thresholds of 10, 20, and 45 km were chosen to determine access to screening, pathologic diagnosis, and surgical management. An additional population analysis was performed to observe the potential impact of targeted development of resources for breast cancer care. Results All 102 secondary and tertiary healthcare facilities and private medical centers and clinics in The Gambia were included. Breast cancer screening is mainly performed through clinical breast examination and is available in 52 facilities. Seven facilities provide pathologic diagnosis and surgical management of breast cancer. The proportion of the Gambian population with access to screening, pathologic diagnosis, and surgical management is 72, 53, and 62%, respectively. A hypothetical targeted expansion of resources would increase the covered population to 95, 62, and 84%. Conclusions Almost half of the Gambian population does not have access to pathologic diagnosis and surgical management of breast cancer within the distance threshold utilized in the study. Mapping and population analysis can identify areas for targeted development of resources to increase access to breast cancer care.

Background:The longitudinal time-course of dd-cfDNA after kidney transplant (KTx) is not well-described. The cut off values of dd-cfDNA in KTx derive from biopsycoupled single measurements. Meaningful interpretation necessitates understanding of: (1) time variance of dd-cfDNA levels post-KTx, (2) factors determining biologic variability, and (3) relationship to donor and recipient characteristics. We hypothesized that an understanding of the aforementioned factors would better inform clinical decision-making using dd-cfDNA.Methods: One hundred and twenty five KTx patients with dd-cfDNA obtained longitudinally were included. Univariate analyses were directed at inter-patient variability and intra-patient inter-occasion variability of dd-cfDNA. Multivariate linear regression was used in analyses accounting for repeat measures.Results: At 1-month post KTx median dd-cfDNA: (1) were higher in repeat KTx (.57%, P < .001), and dual KTx (1.10%, P = ns) versus a first KTx (.31%); (2) showed a significant difference in donor after cardiac death (DCD [.45%]) versus living related (LRD [.27%]) donors (P = .036). Longitudinal (1-3 months) dd-cfDNA measurements showed a significant downtrend for all donor types. Panel-reactive antibodies (PRA) were positively correlated with dd-cfDNA.Conclusions: Repeat Tx, dual Tx, DCD, and PRA are associated with a higher dd-cfDNA.Incorporation of donor/recipient variables and time down post transplant is material for rational interpretation of dd-cfDNA.

Highlights Re-do of a meso-Rex Bypass is a feasible option with good outcomes. A large collateral vein is an alternative for an autologous venous conduit in a MRB. Large collaterals ligation during MRB should be performed to avoid portal steal.

Objective To determine the differences between clinical, manometric, and neuroimmunological profile of esophagogastric junction outflow obstruction (EGJOO) and achalasia patients. Methods Seven EGJOO and 27 achalasia patients were enrolled in a blind cross‐sectional study. Peripheral blood (PB) of 10 healthy donors and 10 lower esophageal sphincter (LES) muscle biopsies from organ transplant donors were included as controls. The presence of ganglion cells, cells of Cajal, Th22/Th7/Th2/Th1/Tregs/Bregs/pDCregs in tissue, and PB was assessed by immunohistochemistry and flow cytometry. Serum concentration of IL‐22/IL‐17A/IL‐17F/IL‐4/IFN‐γ/IL‐1β/IL‐6/IL‐23/IL‐33/TNF‐α/IL‐10 was determined using bioplex plates. ANAs and antineuronal antibodies were evaluated by immunofluorescence and Western blot. Key Results EGJOO and achalasia patients had lower ganglion cells and cells of Cajal percentage vs. controls, while fibrosis was present only in achalasia patients. EGJOO and controls had lower cell percentage of Th22/Th17/Th2 vs. achalasia. EGJOO tissue had lower Th1/Treg cell number vs. achalasia, but higher levels vs. control group. Bregs and pDCregs percentage was higher in EGJOO vs. control group. Percentage of PB subpopulations in EGJOO was not significantly different from control group. Serum cytokine levels were higher for IL‐1β/IL‐6/TNF‐α, while IL‐17A levels were lower in EGJOO vs. achalasia and control group. EGJOO group was negative for ANAs, while in achalasia group, 54% were positive. GAD65 and PNMa/Ta2 antibodies were present in achalasia, whereas Yo and recoverin were positive in EGJOO group. Conclusions and Inferences Although EGJOO shares some clinical characteristics with achalasia, the neuroimmunological profile is completely different, suggesting that EGJOO might be a different entity.