Arjola Bano

Dr. Arjola Bano


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 May 2022 in Journal of Cachexia, Sarcopenia and Muscle
Verified
Journal Article
Open access
DGDion Groothof
Dion Groothof
APAdrian Post
Adrian Post
HPHarmke A. Polinder‐Bos
Harmke A. Polinder‐Bos
NENicole Erler
Nicole Erler
Jose L. Flores-GuerreroJose L. Flores-Guerrero
Jose L. Flores-Guerrero
SBStephan Bakker
Stephan Bakker
Background: Creatinine is the most widely used test to estimate the glomerular filtration rate (GFR), but muscle mass as key determinant of creatinine next to renal function may confound such estimates. We explored effects of 24‐h height‐indexed creatinine excretion rate (CER index) on GFR estimated with creatinine (eGFRCr), muscle mass‐independent cystatin C (eGFRCys), and the combination of creatinine and cystatin C (eGFRCr‐Cys) and predicted probabilities of discordant classification given age, sex, and CER index.Methods: We included 8076 adults enrolled in the PREVEND study. Discordant classification was defined as not having eGFRCr <60 mL/min per 1.73 m2 when eGFRCys was <60 mL/min/1.73 m2. Baseline effects of age and sex on CER index were quantified with linear models using generalized least squares. Baseline effects of CER index on eGFR were quantified with quantile regression and logistic regression. Effects of annual changes in CER index on trajectories of eGFR were quantified with linear mixed‐effects models. Missing observations in covariates were multiply imputed.Results: Mean (SD) CER index was 8.0 (1.7) and 6.1 (1.3) mmol/24 h per meter in male and female participants, respectively (Pdifference < 0.001). In male participants, baseline CER index increased until 45 years of age followed by a gradual decrease, whereas a gradual decrease across the entire range of age was observed in female participants. For a 70‐year‐old male participant with low muscle mass (CER index of 2 mmol/24 h per meter), predicted baseline eGFRCr and eGFRCys disagreed by 24.7 mL/min/1.73 m2 (and 30.1 mL/min/1.73 m2 when creatinine was not corrected for race). Percentages (95% CI) of discordant classification in male and female participants aged 60 years and older with low muscle mass were 18.5% (14.8–22.1%) and 15.2% (11.4–18.5%), respectively. For a 70‐year‐old male participant who lost muscle during follow‐up, eGFRCr and eGFRCys disagreed by 1.5, 5.0, 8.5, and 12.0 mL/min/1.73 m2 (and 6.7, 10.7, 13.5, and 15.9 mL/min/1.73 m2 when creatinine was not corrected for race) at baseline, 5 years, 10 years, and 15 years of follow‐up, respectively.Conclusions: Low muscle mass may cause considerable overestimation of single measurements of eGFRCr. Muscle wasting may cause spurious overestimation of repeatedly measured eGFRCr. Implementing muscle mass‐independent markers for estimating renal function, like cystatin C as superior alternative to creatinine, is crucial to accurately assess renal function in settings of low muscle mass or muscle wasting. This would also eliminate the negative consequences of current race‐based approaches.

25 April 2022 in JACC
Verified
Journal Article
Open access
NGNathalia Gonzalez
Nathalia Gonzalez
MWMatthias Wilhelm
Matthias Wilhelm
AAAna María Arango-Rivas
Ana María Arango-Rivas
VGValentina Gonzalez-Jaramillo
Valentina Gonzalez-Jaramillo
CMCristina Mesa-Vieira
Cristina Mesa-Vieira
ABArjola Bano
Arjola Bano
The role of lifestyle physical activity (PA) trajectories in the mortality risk of patients with coronary heart disease (CHD) remains unclear. The purpose of this study was to determine the association of longitudinal PA trajectories with all-cause and cardiovascular disease (CVD) mortality in patients with CHD. Longitudinal cohorts reporting the association of PA trajectories with mortality in patients with CHD were identified in April 2021 by searching 5 databases without language restrictions. Published HRs and 95% CIs were pooled using random effects models and bias assessed by Egger regression. A total of 9 prospective cohorts included 33,576 patients. The mean age was 62.5 years. The maximum follow-up was 15.7 years. All of the studies assessed PA through validated questionnaires, and mortality was well documented. Changes in PA defined 4 nominal PA trajectories. Compared with always-inactive patients, the risk of all-cause mortality was 50% lower in those who remained active (HR: 0.50; 95% CI: 0.39-0.63); 45% lower in those who were inactive but became active (HR: 0.55; 95% CI: 0.44-0.7); and 20% lower in those who were active but became inactive (HR: 0.80; 95% CI: 0.64-0.99). Similar results were observed for CVD mortality, except for the category of decreased activity (HR: 0.91; 95% CI: 0.67-1.24). The overall risk of bias was low. No evidence of publication bias was found. Multiple sensitivity analyses provided consistent results. This study illustrates how patients with CHD may benefit by preserving or adopting an active lifestyle. The observation that the benefits of past activity can be weakened or lost if PA is not maintained may be confounded by disease progression.

16 February 2022 in JACC: Cardiovascular Imaging
Verified
Journal Article
Closed access
DSDante B. Salvador
Dante B. Salvador
MGMagda R. Gamba
Magda R. Gamba
NGNathalia Gonzalez-Jaramillo
Nathalia Gonzalez-Jaramillo
VGValentina Gonzalez-Jaramillo
Valentina Gonzalez-Jaramillo
PRPeter Francis N. Raguindin
Peter Francis N. Raguindin
ABArjola Bano
Arjola Bano

5 November 2021 in Frontiers in Pharmacology
Verified
Journal Article
Open access
AMAurélie Pahud de Mortanges
Aurélie Pahud de Mortanges
DJDante Salvador Jr.
Dante Salvador Jr.
MLMarkus Laimer
Markus Laimer
TMTaulant Muka
Taulant Muka
MWMatthias Wilhelm
Matthias Wilhelm
ABArjola Bano
Arjola Bano
Objective:Sodium glucose cotransporter 2 inhibitors (SGLT2-is) are antidiabetic drugs that improve glycemic control by limiting urinary glucose reuptake in the proximal tubule. SGLT2-is might suppress atherosclerotic processes and ameliorate the prognosis of patients with diabetes mellitus diagnosed with or at high risk of atherosclerotic cardiovascular disease (ASCVD). In this mini review, we examine the role of SGLT2-is in the development and progression of atherosclerosis throughout its spectrum, from subclinical atherosclerosis to ASCVD.Data Sources—PubMed and Google Scholar were searched for publications related to SGLT2-is and atherosclerosis. All types of articles were considered, including clinical trials, animal studies,in vitroobservations, and reviews and meta-analyses. Data were examined according to their impact and clinical relevance.Synopsis of Content—We first review the underlying mechanisms of SGLT2-is on the development and progression of atherosclerosis, including favorable effects on lipid metabolism, reduction of systemic inflammation, and improvement of endothelial function. We then discuss the putative impact of SGLT2-is on the formation, composition, and stability of atherosclerotic plaque. Furthermore, we evaluate the effects of SGLT2-is in subclinical atherosclerosis assessed by carotid intima media thickness and pulse wave velocity. Subsequently, we summarize the effects of SGLT2-is in ASCVD events, including ischemic stroke, angina pectoris, myocardial infarction, revascularization, and peripheral artery disease, as well as major adverse cardiovascular events, cardiovascular mortality, heart failure, and chronic kidney disease. Moreover, we examine factors that could modify the role of SGLT2-is in atherosclerosis, including sex, age, diabetes, glycemic control, ASCVD, and SGLT2-i compounds. Additionally, we propose future directions that can improve our understanding of SGLT2-is and atherosclerosis.

1 April 2019 in Menopause
Verified
Journal Article
Closed access
EAEralda Asllanaj
Eralda Asllanaj
ABArjola Bano
Arjola Bano
Glisic MarijaGlisic Marija
Glisic Marija
LJLoes Jaspers
Loes Jaspers
MIMohammad Arfan Ikram
Mohammad Arfan Ikram
OFOscar H. Franco
Oscar H. Franco
Objective: Effective interventions of future health care require a better understanding of the health risks associated with early onset of menopause and diabetes, but the necessary data are scarce. Little quantitative information is available about the combined association of early menopause and diabetes on life expectancy and the number of years lived with and without diabetes. Methods: We included 3,650 postmenopausal women aged 45+ years from the Rotterdam Study, a prospective population-based cohort study. Age at menopause categories were defined as follows: early (≤44 y old), normal (45-54 y old), and late (≥55 y old). For life table calculations, we used prevalence, incidence rates, and hazard ratios for three transitions (free of diabetes to diabetes, free of diabetes to death, and diabetes to death) stratifying by age at menopause categories and adjusting for confounders. Results: Compared with late menopause, the difference in life expectancy for women who experienced early menopause was −3.5 (95% CI, −6.6 to −0.8) years overall and −4.6 (95% CI, −8.9 to −0.9) years without diabetes. Compared with age at normal menopause, the difference in life expectancy for women who experienced early menopause was −3.1 (95% CI, −5.1 to −1.1) years overall and −3.3 (95% CI, −6.0 to −0.6) years without diabetes. Conclusions: Women who experienced early menopause lived less long and spent fewer years without diabetes than women who experienced normal or late menopause.

7 December 2021 in Cardiovascular Diabetology
Verified
Journal Article
Open access
PDF file
FAFadi Alijla
Fadi Alijla
CBChepkoech Buttia
Chepkoech Buttia
TRTobias Reichlin
Tobias Reichlin
SRSalman Razvi
Salman Razvi
BMBeatrice Minder
Beatrice Minder
ABArjola Bano
Arjola Bano
Background: Atrial fibrillation (AF) is a common arrhythmia classified as paroxysmal and non-paroxysmal. Non-paroxysmal AF is associated with an increased risk of complications. Diabetes contributes to AF initiation, yet its role in AF maintenance is unclear. We conducted a systematic review and meta-analysis to summarize the evidence regarding the association of diabetes with AF types. Methods: We searched 5 databases for observational studies investigating the association of diabetes with the likelihood of an AF type (vs another type) in humans. Study quality was evaluated using the Newcastle–Ottawa Scale. Studies classifying AF types as paroxysmal (reference) and non-paroxysmal were pooled in a meta-analysis using random effects models. Results: Of 1997 articles we identified, 20 were included in our systematic review. The population sample size ranged from 64 to 9816 participants with mean age ranging from 40 to 75 years and percentage of women from 24.8 to 100%. The quality of studies varied from poor (60%) to fair (5%) to good (35%). In the systematic review, 8 studies among patients with AF investigated the cross-sectional association of diabetes with non-paroxysmal AF (vs paroxysmal) of which 6 showed a positive association and 2 showed no association. Fourteen studies investigated the longitudinal association of diabetes with “more sustained” AF types (vs “less sustained”) of which 2 showed a positive association and 12 showed no association. In the meta-analysis of cross-sectional studies, patients with AF and diabetes were 1.31-times more likely to have non-paroxysmal AF than those without diabetes [8 studies; pooled OR (95% CI), 1.31 (1.13–1.51), I2 = 82.6%]. The meta-analysis of longitudinal studies showed that for patients with paroxysmal AF, diabetes is associated with 1.32-times increased likelihood of progression to non-paroxysmal AF [five studies; pooled OR (95% CI), 1.32 (1.07–1.62); I2 = 0%]. Conclusions: Our findings suggest that diabetes is associated with an increased likelihood of non-paroxysmal AF rather than paroxysmal AF. However, further high quality studies are needed to replicate these findings, adjust for potential confounders, elucidate mechanisms linking diabetes to non-paroxysmal AF, and assess the impact of antidiabetic medications on AF types. These strategies could eventually help decrease the risk of non-paroxysmal AF among patients with diabetes.