Transcatheter aortic valve replacement in patients with chronic kidney disease: a multi-centre retrospective study.

Background: Chronic kidney disease (CKD) is a common comorbid condition in patients undergoing transcatheter aortic valve replacement (TAVR). Reported outcome studies on the association of baseline CKD and mortality is currently limited. Objectives: To determine the prevalence of chronic kidney disease in patients undergoing TAVR and analyse their overall procedural outcomes. Methods: This retrospective observational study was conducted at 43 publicly funded hospitals in Hong Kong. Severe aortic stenosis patients undergoing TAVR between the years 2010 and 2019 were enroled in the study. Two groups were identified according to the presence of baseline chronic kidney disease. Results: A total of 499 patients (228, 58.6% men) were enroled in the study. Baseline hypertension was more prevalent in patients with CKD (82.8%; P=0.003). As for primary end-points, mortality rates of CKD patients were significantly higher compared to non-CKD patients (10% vs. 4.1%; P=0.04%). Gout and hypertension were found to be significantly associated with CRF. Patients with gout were nearly six times more likely to have CRF than those without gout (odds ratio = 5.96, 95% CI = 3.12-11.29, P<0.001). Patients with hypertension had three times the likelihood of having CRF compared to those without hypertension (odds ratio=2.83, 95% CI=1.45-6.08, P=0.004). Conclusion: In patients with severe aortic stenosis undergoing TAVR, baseline CKD significantly contributes to mortality outcomes at long-term follow up.

Adherence to the Mediterranean diet is associated with a reduced DAS28 index among patients with rheumatoid arthritis: Case study from KRRD.

BACKGROUND: Rheumatoid arthritis (RA) is a chronic, autoimmune disease that mostly affects the synovial joints. It has been hypothesized that dietary and other environmental and lifestyle factors contribute to the development of RA and its severity. OBJECTIVE: The present study aims to measure the effect of the Mediterranean diet (MedDiet) on the disease activity scores (DAS28) among patients with RA. METHODS: Adult patients who satisfied the American College of Rheumatology (ACR) classification criteria for RA from major hospitals in Kuwait were evaluated. A cross-sectional study conducted on 754 RA patients visits aged (21-79) years. Patients were evaluated using the DAS28. Patients' levels of adherence to the MedDiet are assessed using a validated 14-item Questionnaire (paper or web-based). The data was analyzed using both multivariate and univariate statistics. Multivariate logistic regression was used to analyze the statistical relationship between MedDiet and RA disease activity. RESULTS: The finding suggests that a MedDiet can have a positive impact on DAS28 among patients with RA. In the DAS28 cohort (DAS28 < 3.2, DAS28 ≥ 3.2), several Mediterranean survey components showed statistically significant differences. Patients with a Mediterranean score ≤ 5 was more likely to have hazard effects for DAS28 than those with a Mediterranean score of ≥10 (HR = 0.17, CI [0.08-0.37], p < .001). The finding shows that, Mediterranean levels ≤5, on biologics treatment, CRP, and patient global assessment were significantly associated with overall survival. Additionally, the MedDiet was found to be a significant predictor of DAS28 in the random forest decision tree plot, along with tender, RF, and creatinine. MedDiet patients had a lower DAS28 score than others. CONCLUSION: The findings suggest that optimal drug treatment and a restrictive diet can help to improve DAS28 score for patients with RA. More patients in the cohort DAS28 <3.2 used olive oil, servings of vegetables, fruits, and legumes. In contrast, more patients in the cohort DAS28 ≥ 3.2 consumed red meat, butter, sweetened or soft drinks, cakes, cookies, or biscuits, and tomato sauce.

Exploring the impact of air pollution on COVID-19 admitted cases: Evidence from vector error correction model (VECM) approach in explaining the relationship between air pollutants towards COVID-19 cases in Kuwait.

In urban areas, air pollution is one of the most serious global environmental issues. Using time-series approaches, this study looked into the validity of the relationship between air pollution and COVID-19 hospitalization. This time series research was carried out in the state of Kuwait; stationarity test, cointegration test, Granger causality and stability test, and test on multivariate time-series using the Vector Error Correction Model (VECM) technique. The findings reveal that the concentration rate of air pollutants ( O 3 , SO 2 , NO 2 , CO , and PM 10 ) has an effect on COVID-19 admitted cases via Granger-cause. The Granger causation test shows that the concentration rate of air pollutants ( O 3 , PM 10 , NO 2 , temperature and wind speed) influences and predicts the COVID-19 admitted cases. The findings suggest that sulfur dioxide ( SO 2 ), NO 2 , temperature, and wind speed induce an increase in COVID-19 admitted cases in the short term according to VECM analysis. The evidence of a positive long-run association between COVID-19 admitted cases and environmental air pollution might be shown in the cointegration test and the VECM. There is an affirmation that the usage of air pollutants ( O 3 , SO 2 , NO 2 , CO , and PM 10 ) has a significant impact on COVID-19-admitted cases' prediction and its explained about 24% of increasing COVID-19 admitted cases in Kuwait.

Correction to: Exploring the impact of air pollution on COVID-19 admitted cases: Evidence from vector error correction model (VECM) approach in explaining the relationship between air pollutants towards COVID-19 cases in Kuwait.

[This corrects the article DOI: 10.1007/s42081-022-00165-z.].

Clinical outcomes of transcatheter aortic valve replacement stratified by left ventricular ejection fraction: A single centre pilot study.

Introduction: To define baseline echocardiographic, electrocardiographic (ECG) and computed tomographic (CT) findings of patients with heart failure undergoing transcatheter aortic valve replacement (TAVR) and analyze their overall procedural outcomes. Methods: Between 2018 and 2021, patients with severe aortic stenosis (AS) who performed transcatheter aortic valve replacement (TAVR) in Sabah Al Ahmad Cardiac Centre, Al Amiri Hospital were identified. A retrospective review of patients' parameters including pre-, intra-, and post-procedural data was conducted. Patients were grouped in 2 subgroups according to their EF: EF <40% (HFrEF) and EF ≥ 40%. The data included patients' baseline characteristics, electrocardiographic and echocardiographic details along with pre-procedural CT assessment of aortic valve dimensions. Primary outcomes including post-operative disturbances, pacemaker implantation and in-hospital mortality following TAVR were additionally analyzed. Results: A total of 61 patients with severe AS underwent TAVR. The mean age was 73.5 ± 9, and 21 (34%) of the patients were males. The mean ejection fraction (EF) was 55.5 ± 9.7%. Of 61 patients, 12 (20%) were identified as heart failure with reduced EF (<40%). These patients were younger, more often males, and were more likely to have coronary artery disease (75% versus 53.1%). Left ventricular hypertrophy and diastolic dysfunction was documented in 75% and 58.3% of patients with heart failure with reduced ejection fraction (HFrEF) respectively. Post TAVR conduction disturbances, with the commonest being LBBB was observed in 41.7%. Permanent pacemaker was implanted in 3 of patients with HFrEF (25%). There were no significant differences between the two groups with regards to in hospital mortality (p = 0.618). Conclusion: Severe AS with EF <40% constitute a remarkable proportion of patients undergoing TAVR. Preliminary results of post-operative conduction disturbances and in hospital mortality in HFrEF patients were concluded to not differ from patients with LVEF ≥40%.

Validation of R-hf risk score for risk stratification in ischemic heart failure patients: A prospective cohort study.

Background: The aim of this study was to validate R-heart failure (R-hf) risk score in ischemic heart failure patients. Methods: We prospectively recruited a cohort of 179 ischemic and 107 non-ischemic heart failure patients. This study mainly focused on ischemic heart failure patients. Non-ischemic heart failure patients were included for the purpose of validation of the risk score in various heart failure groups. Patients were stratified in high risk, moderate risk and low risk groups according to R-hf risk score. Results: A total of 179 participants with ischemic heart failure were included. Based on R-hf risk score, 82 had high risk, 50 had moderate risk and 47 had low risk heart failure scores. More than half of the patients having R-hf score of <5 had renal failure (n = 91, 50.8%) and anemia (n = 99, 55.3%). Notably, HFrEF was more prevalent in patients with high risk score (74, 90.2%). Patients with high risk score had significantly higher creatinine (2.63 ± 1.96, p < 0.001), Troponin-T HS (59.9 ± 38.0, p < 0.001) and PRO BNP (17842 ± 6684, p < 0.001) when compared to patients with low and moderate risk score. Patients with low risk score had significantly higher Hb (13.2 ± 1.85, p < 0.001), Albumin (3.69 ± 0.42, p < 0.001) and GFR (90.0 ± 8.04, p < 0.001). A R-hf score of <5 was a significant predictor of mortality in ischemic (OR = 50.34; 95% CI [16.94-194.00, p < 0.001) and non-ischemic (OR = 46.34; 95% CI [12.97-225.39], p < 0.001) heart failure patients. Conclusions: Lower R-hf risk score is a significant predictor of mortality in ischemic and non-ischemic heart failure patients. Risk score can be accessed at https://www.hfriskcalc.in.

Neutrophil to lymphocyte ratio and in-hospital mortality among patients with SARS-CoV-2: A retrospective study.

The goal of this study was to investigate in-hospital mortality in patients suffering from acute respiratory syndrome coronavirus 2 (SARS-CoV-2) relative to the neutrophil to lymphocyte ratio (NLR) and to determine if there are gender disparities in outcome. Between February 26 and September 8, 2020, patients having SARS-CoV-2 infection were enrolled in this retrospective cohort research, which was categorized by NLR levels ≥9 and < 9. In total, 6893 patients were involved included of whom6591 had NLR <9, and 302 had NLR ≥9. The age of most of the patients in the NLR<9 group was 50 years, on the other hand, the age of most of the NLR ≥9 group patients was between 50 and 70 years. The majority of patients in both groups were male 2211 (66.1%). The ICU admission time and mortality rate for the patients with NLR ≥9 was significantly higher compared to patients with NLR <9. Logistic regression's outcome indicated that NLR ≥9 (odds ratio (OR), 24.9; 95% confidence interval (CI): 15.5-40.0; p < 0.001), male sex (OR, 3.5; 95% CI: 2.0-5.9; p < 0.001) and haemoglobin (HB) (OR, 0.95; 95% CI; 0.94-0.96; p < 0.001) predicted in-hospital mortality significantly. Additionally, Cox proportional hazards analysis (B = 4.04, SE = 0.18, HR = 56.89, p < 0.001) and Kaplan-Meier survival probability plots also indicated that NLR>9 had a significant effect on mortality. NLR ≥9 is an independent predictor of mortality(in-hospital) among SARS-CoV-2 patients.

Influence of Ambient Air Pollution on Rheumatoid Arthritis Disease Activity Score Index.

Rheumatoid arthritis (RA) is a chronic autoimmune of an unknown etiology. Air pollution has been proposed as one of the possible risk factors associated with disease activity, although has not been extensively studied. In this study, we measured the relationship between exposure to air pollutants and RA activity. Data on RA patients were extracted from the Kuwait Registry for Rheumatic Diseases (KRRD). Disease activity was measured using disease activity score with 28 examined joints (DAS-28) and the Clinical Disease Activity Index (CDAI) during their hospital visits from 2013 to 2017. Air pollution was assessed using air pollution components (PM 10 , NO 2 , SO 2 , O 3 , and CO). Air pollution data were obtained from Kuwait Environmental Public Authority (K-EPA) from six different air quality-monitoring stations during the same period. Multiple imputations by the chained equations (MICE) algorithm were applied to estimate missing air pollution data. Patients data were linked with air pollution data according to date and patient governorate address. Descriptive statistics, correlation analysis, and linear regression techniques were employed using STATA software. In total, 1651 RA patients with 9875 follow-up visits were studied. We detected an increased risk of RA using DAS-28 in participants exposed to SO 2 and NO 2 with ß = 0 . 003 (95% CI: 0.0004-0.005, p < 0 . 01 ) and ß = 0 . 003 (95% CI: 0.002-0.005, p < 0 . 01 ), respectively, but not to PM 10 , O 3 , and CO concentrations. Conclusively, we observed a strong association between air pollution with RA disease activity. This study suggests air pollution as a risk factor for RA and recommends further measures to be taken by the authorities to control this health problem.