The role of calcitonin gene-related peptide and substance P in the pathogenesis of dialysis headache.

AIM: The present study aims to establish the role of serum CGRP and SP levels in the disease pathophysiology in patients with dialysis headache not accompanied by primary or secondary headaches, and also whether there is a correlation between these vasoactive peptides and the severity of headache. METHOD: This study was designed as prospective and multicenter. A total of 30 dialysis headache patients and 30 patients without headache as the control group in the Nephrology outpatient clinics which implement similar dialysis procedures were included in the study. Blood samples were taken from all the patients before hemodialysis, and post-hemodialysis samples were collected. CGRP and SP contents in serum samples were measured using the ELISA method with detection kits. RESULTS: A total of 60 patients were included in the study with 17 female and 13 male patients in the dialysis headache group and 18 female and 12 male patients in the control group, and there were no significant differences in sex and age between the groups. CGRP levels in the headache group were found to be significantly higher compared with the control group both before and after hemodialysis. Furthermore, pre-hemodialysis CGRP levels were significantly higher than post-hemodialysis CGRP levels in both the headache and control groups. Serum SP levels in the headache group were found to be higher compared with the control group both before and after hemodialysis, there was no significant difference between the groups. Even though SP levels in both groups decreased after hemodialysis, there was again no significant difference between the groups. No correlation was found between the patients' severity of headache and serum CGRP and SP levels. CONCLUSION: This study concludes that CGRP and SP, even though the latter is not statistically significant, play a role in the pathophysiology of the dialysis headache, and further studies with a larger and more specific patient population may reveal the relationship between the neuropeptides and dialysis headache more clearly.

Can systemic immune inflammation index at admission predict in-hospital mortality in chronic kidney disease patients with SARS-CoV-2 infection? / ¿Puede el índice de inflamación inmunitaria sistémica al ingreso predecir la mortalidad hospitalaria al ingreso de pacientes con enfermedad renal crónica e infección por SARS-CoV-2?

Background and aim: Patients with chronic kidney disease (CKD) are susceptible to SARS-CoV-2 infection and more prone to develop severe disease. It is important to know predictors of poor outcomes to optimize the strategies of care.Methods: 93 patients with CKD and 93 age-sex matched patients without CKD were included in the study. Data on demographic, clinical features, hematological indices and outcomes were noted and compared between the groups. Neutrophile to lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune inflammation index (SII) (platelet counts×neutrophil counts/lymphocyte counts) and lymphocyte-to-CRP ratio (LCR) were calculated on admission and the association of these markers with disease mortality in CKD patients was identified. (AU)

Antecedentes y objetivo: Los pacientes con enfermedad renal crónica (ERC) son susceptibles a la infección por SARS-CoV-2 y más propensos a desarrollar una enfermedad grave. Es importante conocer los predictores de los malos resultados para optimizar las estrategias de atención. Métodos: Se incluyeron en el estudio 93 pacientes con ERC y 93 pacientes sin ERC, emparejados por edad y sexo. Los datos sobre las características demográficas, clínicas, índices hematológicos y resultados, se anotaron y compararon entre los grupos. La proporción de neutrófilos a linfocitos (NLR), la proporción de plaquetas a linfocitos (PLR), el índice de inflamación inmunitaria sistémica (SII) (recuentos de plaquetas×recuentos de neutrófilos/recuentos de linfocitos) y la proporción de linfocitos a PCR (LCR) se calcularon en el momento de la admisión y se identificó la asociación de estos marcadores con la mortalidad por enfermedad en pacientes con ERC. (AU)

Prognostic value of histopathological scoring and grading in patients with renal AA amyloidosis.

OBJECTIVE: The amount and distribution pattern of amyloid deposits may contribute to renal function and outcome, given the great diversity of renal involvement in amyloidosis. The aim of this study was to analyze the impact of histological characteristics of patients with biopsy-proven renal AA amyloidosis (AAA) on renal outcome. METHODS: Renal biopsies of 37 patients with AAA were re-evaluated. The distribution pattern of glomerular amyloid (GA) deposits was classified, the extent of amyloid deposits in glomeruli, vessel, and interstitium and other histopathologic lesions were scored, and renal amyloid prognostic score (RAPS) was determined by summing all scores. Their potential prognostic relevance on renal outcome was investigated. RESULTS: GA and vascular amyloid (VA) deposits were noted in all cases, interstitial amyloid (IA) was detected in 70.2%. GA deposits were predominantly seen in diffuse mesengiocapillary fashions (class IV) (51.4%). GA class, the extent of GA, VA, IA deposit, and RAPS, as well as interstitial fibrosis (IF) and interstitial inflammation were correlated to renal function at diagnosis. During the median follow-up of 52 months, 13 patients developed doubling of serum creatinine or end stage renal disease and they had a higher degree of GA and VA load (p = 0.03 and p = 0.042, respectively) as compared to the remaining patients. VA load, but not GA and RAPS grade, was associated with poor renal outcome (HR 3.016, 95% CI 1.45-6.25, p = 0.003). CONCLUSIONS: Baseline renal function is closely linked to the extent of AA amyloid deposit in renal parenchyma but only VA load was a predictor of renal outcome in AAA patients.

The Longitudinal Evolution of Post-COVID-19 Outcomes Among Hemodialysis Patients in Turkey.

Introduction: Hemodialysis (HD) patients have increased risk for short-term adverse outcomes of COVID-19. However, complications and survival at the post-COVID-19 period have not been published extensively. Methods: We conducted a national, multicenter observational study that included adult maintenance HD patients recovered from confirmed COVID-19. A control HD group without COVID-19 was selected from patients in the same center. We investigated the characteristics and outcomes in the follow-up of HD patients and compare them with the non-COVID-19 group. Results: A total of 1223 patients (635 patients in COVID-19 group, 588 patients in non-COVID-19 group) from 47 centers were included in the study. The patients' baseline and HD characteristics were almost similar. The 28th-day mortality and mortality between 28th day and 90th day were higher in the COVID-19 group than non-COVID-19 group (19 [3.0%] patients vs. none [0%]; 15 [2.4%] patients vs. 4 [0.7%] patients, respectively). The presence of respiratory symptoms, rehospitalization, need for home oxygen therapy, lower respiratory tract infection, and arteriovenous (AV) fistula thrombosis was significantly higher in the COVID-19 group in both the first 28 days and between 28 and 90 days. In the multivariable analysis, age (odds ratio [OR] [95% CI]: 1.029 [1.004-1.056]), group (COVID-19 group vs. non-COVID-19 group) (OR [95% CI]: 7.258 [2.538-20.751]), and vascular access type (tunneled catheter/AV fistula) (OR [95% CI]: 2.512 [1.249-5.051]) were found as independent parameters related to 90-day mortality. Conclusion: In the post-COVID-19 period, maintenance HD patients who have had COVID-19 have increased rehospitalization, respiratory problems, vascular access problems, and high mortality compared with the non-COVID-19 HD patients.

Can systemic immune inflammation index at admission predict in-hospital mortality in chronic kidney disease patients with SARS-CoV-2 infection?

BACKGROUND AND AIM: Patients with chronic kidney disease (CKD) are susceptible to SARS-CoV-2 infection and more prone to develop severe disease. It is important to know predictors of poor outcomes to optimize the strategies of care. METHODS: 93 patients with CKD and 93 age-sex matched patients without CKD were included in the study. Data on demographic, clinical features, hematological indices and outcomes were noted and compared between the groups. Neutrophile to lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune inflammation index (SII) (platelet counts×neutrophil counts/lymphocyte counts) and lymphocyte-to-CRP ratio (LCR) were calculated on admission and the association of these markers with disease mortality in CKD patients was identified. RESULTS: CKD patients had higher risk of severe disease, and mortality compared to non-CKD patients (72% vs 50.5%, p=0.003, 36.6% vs 10.8%, p<0.001, respectively) and were more likely to have higher values of immuno-inflammatory indices (leukocyte count, neutrophil, NLR, SII and C-reactive protein, etc.) and lower level of lymphocyte and LCR. Also, higher levels of NLR, SII, PLR and lower level of LCR were seen in CKD patients who died compared to those recovered. In a receiver operating characteristic curve analysis, NLR, SII, PLR and LCR area under the curve for in-hospital mortality of CKD patients were 0.830, 0.811, 0.664 and 0.712, respectively. Among all parameters, NLR and SII gave us the best ability to distinguish patients with higher risk of death. Based on the cut-off value of 1180.5, the sensitivity and specificity of the SII for predicting in-hospital mortality were found to be 67.5% and 79.6%, respectively. The corresponding sensitivity and specificity of the NLR were 85.2% and 66.1%, respectively, at the cut-off value of 5.1. Forward stepwise logistic regression analysis showed that NLR (≥5.1), SII (≥1180.5) and LCR (≤9) were predictors for in-hospital mortality. CONCLUSION: We report for the first time that SII is able to distinguish COVID-19 infected CKD patients of worse survival and it is as powerful as NLR in this regard. As SII is easily quantified from blood sample data, it may assist for early identification and timely management of CKD patients with worse survival.

Can systemic immune inflammation index at admission predict in-hospital mortality in chronic kidney disease patients with SARS-CoV-2 infection?

Background and aim: Patients with chronic kidney disease (CKD) are susceptible to SARS-CoV-2 infection and more prone to develop severe disease. It is important to know predictors of poor outcomes to optimize the strategies of care. Methods: 93 patients with CKD and 93 age-sex matched patients without CKD were included in the study. Data on demographic, clinical features, hematological indices and outcomes were noted and compared between the groups. Neutrophile to lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune inflammation index (SII) (platelet counts × neutrophil counts/lymphocyte counts) and lymphocyte-to-CRP ratio (LCR) were calculated on admission and the association of these markers with disease mortality in CKD patients was identified. Results: CKD patients had higher risk of severe disease, and mortality compared to non-CKD patients (72% vs 50.5%, p = 0.003, 36.6% vs 10.8%, p < 0.001, respectively) and were more likely to have higher values of immuno-inflammatory indices (leukocyte count, neutrophil, NLR, SII and C-reactive protein, etc.) and lower level of lymphocyte and LCR. Also, higher levels of NLR, SII, PLR and lower level of LCR were seen in CKD patients who died compared to those recovered. In a receiver operating characteristic curve analysis, NLR, SII, PLR and LCR area under the curve for in-hospital mortality of CKD patients were 0.830, 0.811, 0.664 and 0.712, respectively. Among all parameters, NLR and SII gave us the best ability to distinguish patients with higher risk of death. Based on the cut-off value of 1180.5, the sensitivity and specificity of the SII for predicting in-hospital mortality were found to be 67.5% and 79.6%, respectively. The corresponding sensitivity and specificity of the NLR were 85.2% and 66.1%, respectively, at the cut-off value of 5.1. Forward stepwise logistic regression analysis showed that NLR (≥5.1), SII (≥1180.5) and LCR (≤9) were predictors for in-hospital mortality. Conclusion: We report for the first time that SII is able to distinguish COVID-19 infected CKD patients of worse survival and it is as powerful as NLR in this regard. As SII is easily quantified from blood sample data, it may assist for early identification and timely management of CKD patients with worse survival.

Antecedentes y objetivo: Los pacientes con enfermedad renal crónica (ERC) son susceptibles a la infección por SARS-CoV-2 y más propensos a desarrollar una enfermedad grave. Es importante conocer los predictores de los malos resultados para optimizar las estrategias de atención. Métodos: Se incluyeron en el estudio 93 pacientes con ERC y 93 pacientes sin ERC, emparejados por edad y sexo. Los datos sobre las características demográficas, clínicas, índices hematológicos y resultados, se anotaron y compararon entre los grupos. La proporción de neutrófilos a linfocitos (NLR), la proporción de plaquetas a linfocitos (PLR), el índice de inflamación inmunitaria sistémica (SII) (recuentos de plaquetas × recuentos de neutrófilos/recuentos de linfocitos) y la proporción de linfocitos a PCR (LCR) se calcularon en el momento de la admisión y se identificó la asociación de estos marcadores con la mortalidad por enfermedad en pacientes con ERC. Resultados: Los pacientes con ERC tuvieron un mayor riesgo de enfermedad grave y mortalidad en comparación con los pacientes sin ERC (72% vs 50,5%, p = 0,003, 36,6% vs 10,8%, p < 0,001, respectivamente) y tuvieron más probabilidades de tener valores más altos de índices inmuno inflamatorios (recuento de leucocitos, neutrófilos, NLR, SII y proteína C reactiva, etc.) y niveles más bajos de linfocitos y LCR. Además, se observaron niveles más altos de NLR, SII, PLR y un nivel más bajo de LCR en pacientes con ERC que murieron en comparación con los recuperados. En un análisis de la curva de características operativas del receptor, el área NLR, SII, PLR y LCR bajo la curva de mortalidad hospitalaria de pacientes con ERC fueron de 0,830, 0,811, 0,664 y 0,712, respectivamente. Entre todos los parámetros, NLR y SII se dió a conocer la mejor manera de distinguir a los pacientes con mayor riesgo de muerte. Con base en el valor de corte de 1180,5, se encontró que la sensibilidad y especificidad del SII, para predecir la mortalidad hospitalaria, fue del 67,5% y 79,6%, respectivamente. La sensibilidad y especificidad correspondientes del NLR fueron del 85,2% y 66,1%, respectivamente, en el valor de corte de 5,1.El análisis de regresión logística escalonada hacia adelante mostró que el NLR (≥5,1), SII (≥1180,5) y LCR (≤9) fueron predictores de mortalidad hospitalaria. Conclusión: Informamos, por primera vez, que el SII es capaz de distinguir pacientes con ERC infectados por COVID-19 de peor supervivencia y, en este sentido, es tan poderoso como el NLR. Como el SII se cuantifica fácilmente a partir de los datos de las muestras de sangre, puede ayudar a la identificación temprana y el manejo oportuno de los pacientes con ERC con peor supervivencia.

Bacillus Calmette-Guérin-induced perinuclear antineutrophil cytoplasmic antibodies associated vasculitis in bladder cancer.

Intravesical instillation of Bacillus Calmette-Guérin (BCG) immunotherapy remains the most effective adjuvant treatment for noninvasive bladder cancer. Systemic BCG-related complications are rare and usually related to infective agent or an immune-mediated reaction. We discussed a case with perinuclear antineutrophil cytoplasmic antibodies (p-ANCA) vasculitis, developing after instillation of BCG for non-invasive bladder cancer. A 68-year-old man presented with nephritic syndrome a few months after BCG instillations which was performed for his non-muscle-invasive bladder cancer adjuvant therapy. The renal function had declined slowly after the first instillation and urinary sediment reveals the new onset of nephritic proteinuria and hematuria. High titer of p-ANCA was present. His renal biopsy was consistent with acute renal vasculitis. The patient's creatinine level regressed with immunosuppressive therapy and he was clinically followed up without hemodialysis. Here, we presented a patient that diagnosed as p-ANCA related vasculitis occurred after BCG instillation.

COVID-19 in hemodialysis patients: a single-center experience in Istanbul.

OBJECTIVE: Coronavirus disease 2019 (COVID-19) causes a wide spectrum of symptoms, from asymptomatic conditions to severe inflammatory response. Hemodialysis (HD) patients have a higher risk for developing severe COVID-19 because of older age, multiple co-morbid conditions, and impaired immune system compared to the general population. As little is known about these special groups, we evaluated the clinical characteristics and outcomes of HD patients with COVID-19. METHODS: All hospitalized HD patients with COVID 19 between March 11, 2020 and May 31, 2020 were included in the study. The composite end-points consisted of admission to the intensive care unit (ICU), discharging or death were analysed. Demographic, clinical, laboratory, and treatment data were retrieved and compared between survivors and nonsurvivors. RESULTS: A total of 45 patients (median age 65.33 ± 12.22, 24 female, 53.96 ± 40.68) were enrolled and of whom 14 were admitted to ICU and overall 14 (31.1%) have died. Hypertension was the most common comorbidity and fever (60%), dyspnea (55.6%) and cough (53.3%) were predominant symptoms at admission. 8.8% of patients developed severe complications (acute respiratory distress syndrome, macrophage activation syndrome) and secondary infection was observed in 51.1% of the patients. Elevation in the level of inflammatory markers, lactate dehydrogenase, liver enzymes, troponin, creatine kinase, and decrease in lymphocyte count and serum albumin level were observed in non-survivors compared with survivors throughout the clinical course. No significant difference was observed in the score of chest CT performed on the day of hospitalization for the survivors and non-survivors. CONCLUSION: Mortality of COVID-19 in HD patients is high and follow up of certain laboratory parameters can help to predict the prognosis of the patients.