scholarly journals Computational Models Used to Predict Cardiovascular Complications in Chronic Kidney Disease Patients: A Systematic Review

Medicina ◽  
2021 ◽  
Vol 57 (6) ◽  
pp. 538
Author(s):  
Alexandru Burlacu ◽  
Adrian Iftene ◽  
Iolanda Valentina Popa ◽  
Radu Crisan-Dabija ◽  
Crischentian Brinza ◽  
...  

Background and objectives: cardiovascular complications (CVC) are the leading cause of death in patients with chronic kidney disease (CKD). Standard cardiovascular disease risk prediction models used in the general population are not validated in patients with CKD. We aim to systematically review the up-to-date literature on reported outcomes of computational methods such as artificial intelligence (AI) or regression-based models to predict CVC in CKD patients. Materials and methods: the electronic databases of MEDLINE/PubMed, EMBASE, and ScienceDirect were systematically searched. The risk of bias and reporting quality for each study were assessed against transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD) and the prediction model risk of bias assessment tool (PROBAST). Results: sixteen papers were included in the present systematic review: 15 non-randomized studies and 1 ongoing clinical trial. Twelve studies were found to perform AI or regression-based predictions of CVC in CKD, either through single or composite endpoints. Four studies have come up with computational solutions for other CV-related predictions in the CKD population. Conclusions: the identified studies represent palpable trends in areas of clinical promise with an encouraging present-day performance. However, there is a clear need for more extensive application of rigorous methodologies. Following the future prospective, randomized clinical trials, and thorough external validations, computational solutions will fill the gap in cardiovascular predictive tools for chronic kidney disease.

PLoS ONE ◽  
2018 ◽  
Vol 13 (3) ◽  
pp. e0192895 ◽  
Author(s):  
Rupert W. Major ◽  
Mark R. I. Cheng ◽  
Robert A. Grant ◽  
Saran Shantikumar ◽  
Gang Xu ◽  
...  

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Anique D. ter Braake ◽  
◽  
Larissa P. Govers ◽  
Mieke J. Peeters ◽  
Arjan D. van Zuilen ◽  
...  

Abstract Background Higher plasma magnesium concentrations are associated with reduced cardiovascular disease risk in chronic kidney disease (CKD) patients. The importance of plasma magnesium concentration for vascular calcification in earlier stages of CKD remains underexplored. This study investigated whether plasma magnesium is a determinant for the presence and severity of vascular calcification in moderate CKD. Methods Retrospective analysis was performed using abdominal aortic calcification (AAC) scores in 280 patients with stage 3 and 4 CKD enrolled in the MASTERPLAN trial. Lateral abdominal X-ray was used to evaluate AAC. Plasma magnesium concentration were measured over time. A zero-inflated Poisson model determined the association between plasma magnesium concentration and AAC. Results 79 out of 280 patients did not have AAC, and in patients with AAC the median calcification score was 3.5 (interquartile range: 0.0–8.6). The mean plasma magnesium concentration was 0.76 ± 0.10 mmol/L at baseline. A 0.1 mmol/L higher plasma magnesium concentration was associated with lower AAC of 0.07 point (95% CI -0.28 – 0.14). A 0.1 mmol/L higher plasma magnesium lowered the odds of detecting any AAC by 30% (OR = 0.63; 95% CI 0.29–1.37). After 1 year and 4 years (at time of X-ray) of follow-up this association was attenuated (OR = 0.93; 95% CI 0.61–1.43 and 0.93; 95% CI 0.60–1.45, respectively). None of these associations reached statistical significance. Conclusions Plasma magnesium concentration at baseline is not associated with the risk for future AAC. Interventions increasing magnesium to avoid vascular calcification may have greatest potential in early CKD stages prior to onset of vascular calcification.


2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 378.2-378
Author(s):  
A. Chudinov ◽  
I. Belyaeva ◽  
M. Pervakova ◽  
V. Mazurov ◽  
O. Inamova ◽  
...  

Background:ANCA-associated systemic vasculitis (AAV) is characterized by a high incidence of complications and high mortality. The most significant complications during the first 3 years of the disease are infectious and cardiovascular. Development of chronic kidney disease also impairs the prognosis of AAV. Refractory to induction therapy can significantly increase the severity of organ lesions in patients with AAV.Objectives:The aim of this study was to determine risk factors for complications and refractory course in patients with AAV.Methods:Patients with granulomatosis with polyangiitis (GPA), microscopic polyangiitis (MPA) and eosinophilic granulomatosis with polyangiitis (EGPA) were observed during the first 3 years of the disease and included in this study between 2010 and 2018. Most common infectious complications requiring inpatient treatment were pneumonia, mycosis, sepsis, purulent arthritis, purulent otitis media. Cardiovascular complications included pulmonary thromboembolism, myocardial infarction, ischemic stroke, venous thrombosis.Results:In total 209 (165 [79%] female and mean age 51.8 ± 13.2 years) AAV patients (94 GPA; 46 MPA; and 69 EGPA) were included in the analysis. Risk factors for infectious complications were BVAS level at the beginning of induction therapy > 25 (OR – 2.92, 95% CI (1.53;5.45) p<0.001), usage of prednisone in doses more than 60 mg / day at the induction of remission (OR – 2.76, 95% CI (1.45;5.29) p=0.003), usage of prednisone in doses ≥ 10 mg / day after 6 months of induction therapy (OR – 2.60, 95% CI (1.38;4.93) p=0.003), ANCA-PR3 positivity (OR – 2.25, 95% CI (1.13;4.46) p=0.017) and presence of diabetes mellitus in the AAV onset (OR – 1.77, 95% CI (1.14;3.45) p=0.038). Patients with AAV had following risk factors for cardiovascular complications: male (OR – 2.28, 95% CI (1.33;3.88) p=0.002), BVAS level > 25 (OR – 2.1, 95% CI (1.11;3.16) p=0.008) and presence of coronary artery disease in the AAV onset (OR – 2.2, 95% CI (1.18;4.10) p=0.015). ANCA positivity (OR – 5.62, 95% CI (2.1;14.9) p<0.001), presence of rapidly progressive glomerulonephritis in the first 3 months from onset AAV (OR – 5.02, 95% CI (3.42;7.35) p<0.001) and over 60 years of age (OR – 2.17, 95% CI (1.38;3.44) p=0.001) were risk factors of development of chronic kidney disease. Risk factors for refractory to induction therapy in patients with AAV were ANCA-PR3 positivity (OR – 3.13, 95% CI (1.63;6.02) p<0.001), BVAS level > 25 (OR – 2.63, 95% CI (1.74;4.34) p<0.001), initiation of therapy after 4 months from the onset of clinical manifestations (OR – 2.17, 95% CI (1.26;3.91) p=0.005). We additionally defined that identification of pathological phenotypes of alpha-1-antitrypsin was risk factors for refractory course in patients with GPA manifestations (OR – 2.66, 95% CI (1.12;6.33) p=0.048).Conclusion:Our study has shown that high disease activity, ANCA positivity and comorbid pathology increase risk of serious complications. Early administration of immunosuppressive therapy, adequate steroid dosing and use of risk factors for complications and refractory course in clinical practice can significantly improve the prognosis of AAV.Disclosure of Interests:None declared


Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Gearoid M McMahon ◽  
Sarah R Preis ◽  
Shih-Jen Hwang ◽  
Caroline S Fox

Background: Chronic Kidney Disease (CKD) is an important public health issue and is associated with an increased risk of cardiovascular disease. Risk factors for CKD are well established, but most are typically assessed at or near the time of CKD diagnosis. Our hypothesis was that risk factors for CKD are present earlier in the course of the disease. We compared the prevalence of risk factors between CKD cases and controls at time points up to 30 years prior to CKD diagnosis. Methods: Participants were drawn from the Framingham Heart Study Offspring cohort. CKD was defined as an estimated glomerular filtration rate of ≤60ml/min/1.73m2. Incident CKD cases occurring at examination cycles 6, 7, and 8 were age- and sex-matched 1:2 to controls. Risk factors including systolic blood pressure (SBP), hypertension, lipids, diabetes, smoking status, body mass index (BMI) and dipstick proteinuria were measured at the time of CKD diagnosis and 10, 20 and 30 years prior. Logistic regression models, adjusted for age, sex, and time period, were constructed to compare risk factor profiles at each time point between cases and controls Results: During follow-up, 441 new cases of CKD were identified and these were matched to 882 controls (mean age 69.2 years, 52.4% women). Up to 30 years prior to CKD diagnosis, those who ultimately developed CKD were more likely to have hypertension (OR 1.74, CI 1.21-2.49), be obese (OR 1.74, CI 1.15-2.63) and have higher triglycerides (OR 1.43, CI 1.12-1.84, p=0.005 per 1 standard deviation increase). Each 10mmHg increase in SBP was associated with an OR of 1.22 for future CKD (95% CI 1.10-1.35) Additionally, cases were more likely to have diabetes (OR 2.90, CI 1.59-5.29) and be on antihypertensive therapy (OR 1.65, CI 1.14-2.40, p=0.009) up to 20 years prior to diagnosis. Increasing HDLc was associated with a lower risk of CKD (OR 0.84, CI 0.81-0.97 per 10mg/dl). Conclusions: As many as 30 years prior to diagnosis, risk factors for CKD are identifiable. In particular, modifiable risk factors such as obesity, hypertension and dyslipidemia are present early in the course of the disease. These findings demonstrate the importance of early identification of risk factors in patients at risk of CKD through a life-course approach.


2021 ◽  
pp. ASN.2021040554
Author(s):  
Nicole Lioufas ◽  
Elaine Pascoe ◽  
Carmel Hawley ◽  
Grahame Elder ◽  
Sunil Badve ◽  
...  

Background: Benefits of phosphate-lowering interventions on clinical outcomes in patients with chronic kidney disease (CKD) are unclear; systematic reviews have predominantly involved dialysis patients. This study aimed to summarize evidence from randomized controlled trials (RCTs) concerning benefits and risks of non-calcium-based phosphate-lowering treatment in non-dialysis CKD. Methods: We conducted a systematic review and meta-analyses of RCTs involving noncalcium-based phosphate-lowering therapy compared to placebo, calcium-based binders, or no study medication, in adults with CKD not on dialysis or post-transplant. RCTs had ≥3 months follow up and outcomes included biomarkers of mineral metabolism, cardiovascular parameters, and adverse events. Outcomes were meta-analyzed using the Sidik-Jonkman method for random effects. Unstandardized mean differences were used as effect sizes for continuous outcomes, with common measurement units and Hedge's g standardized mean differences (SMD) otherwise. Odds ratios were used for binary outcomes. Cochrane risk of bias and GRADE assessment determined the certainty of evidence. Results: Twenty trials involving 2,498 participants (median sample size 120, median follow up 9 months) were eligible for inclusion. Overall, risk of bias was low. Compared with placebo, non calcium-based phosphate binders reduced serum phosphate (12 trials, weighted mean difference -0.37, 95% CI -0.58,-0.15 mg/dL, low certainty evidence) and urinary phosphate excretion (8 trials, SMD -0.61, 95% CI -0.90,-0.31, low certainty evidence), but resulted in increased constipation (9 trials, log odds ratio [OR] 0.93, 95% CI 0.02, 1.83, low certainty evidence) and greater vascular calcification score (3 trials, SMD 0.47, 95% CI 0.17, 0.77, very low certainty evidence). Data for effects of phosphate-lowering therapy on cardiovascular events (log OR 0.51 [95% CI -0.51, 1.17]) and death were scant. Conclusions: Non-calcium-based phosphate-lowering therapy reduced serum phosphate and urinary phosphate excretion, but there was an unclear effect on clinical outcomes and intermediate cardiovascular end-points. Adequately powered RCTs are required to evaluate benefits and risks of phosphate-lowering therapy on patient-centered outcomes.


2018 ◽  
Vol 71 (3) ◽  
pp. 277-283 ◽  
Author(s):  
Masako Kochi ◽  
Kentaro Kohagura ◽  
Yoshiki Shiohira ◽  
Kunitoshi Iseki ◽  
Yusuke Ohya

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