Colchicine-induced rhabdomyolysis: a review of 83 cases

2021 ◽  
Vol 14 (7) ◽  
pp. e241977
Author(s):  
Mohammad Abudalou ◽  
Ahmed S Mohamed ◽  
Eduardo A Vega ◽  
Ali Al Sbihi
Keyword(s):  
Atrial Fibrillation ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Artery Bypass ◽  
Bypass Grafting ◽  
Recurrent Pericarditis ◽  
Patient Reports ◽  
Rehabilitation Facility ◽  
Elevated Creatinine ◽  
Artery Disease

A 74-year-old man with medical history significant for atrial fibrillation, hyperlipidaemia and coronary artery disease on atorvastatin presented to the emergency department with profound weakness. The patient reports he first noticed his weakness 4 weeks after starting colchicine, prescribed for recurrent pericarditis with pericardial effusion, a complication following recent coronary artery bypass grafting. The patient was also on prednisone therapy for presumed post-pericardiotomy syndrome. The weakness involved all four limbs but was more notable in the lower extremities, with preserved sensation and tenderness to palpation. Labs showed an elevated creatinine phosphokinase and serum creatinine consistent with rhabdomyolysis. Discontinuation of the offending medications, including colchicine and atorvastatin, as well as intravenous fluid resuscitation with physical rehabilitation, led to improvement in the patient’s symptoms. He was eventually discharged to a rehabilitation facility to continue physical therapy.

scholarly journals Predictive potential assessment of preoperative risk factors for atrial fibrillation in patients with coronary artery disease after coronary artery bypass grafting

2020 ◽  
Vol 35 (4) ◽  
pp. 128-136
Author(s):  
K. I. Shakhgeldyan ◽  
V. Y. Rublev ◽  
B. I. Geltser ◽  
B. O. Shcheglov ◽  
V. G. Shirobokov ◽  
...  
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Coronary Artery Bypass Grafting ◽  
Artery Bypass ◽  
Bypass Grafting ◽  
Preoperative Risk ◽  
Preoperative Risk Factors ◽  
Artery Disease

Introduction. Postoperative atrial fibrillation (POAF) is one of the most common complications of coronary artery bypass grafting (CABG) and occurs in 25–65% of patients.Aim. The study aimed to assess the predictive potential of preoperative risk factors for POAF in patients with coronary artery disease (CAD) after CABG based on machine learning (ML) methods.Material and Methods. An observational retrospective study was carried out based on data from 866 electronic case histories of CAD patients with a median age of 63 years and a 95% confidence interval [63; 64], who underwent isolated CABG on cardiopulmonary bypass. Patients were assigned to two groups: group 1 comprised 147 (18%) patients with newly registered atrial fibrillation (AF) paroxysms; group 2 included 648 (81.3%) patients without cardiac arrhythmia. The preoperative clinical and functional status was assessed using 100 factors. We used statistical analysis methods (Chi-square, Fisher, Mann – Whitney, and univariate logistic regression (LR) tests) and ML tests (multivariate LR and stochastic gradient boosting (SGB)) for data processing and analysis. The models’ accuracy was assessed by three quality metrics: area under the ROC-curve (AUC), sensitivity, and specificity. The cross-validation procedure was performed at least 1000 times on randomly selected data.Results. The processing and analysis of preoperative patient status indicators using ML methods allowed to identify 10 predictors that were linearly and nonlinearly related to the development of POAF. The most significant predictors were the anteroposterior dimension of the left atrium, tricuspid valve insufficiency, ejection fraction <40%, duration of the P–R interval, and chronic heart failure of functional class III–IV. The accuracy of the best predictive multifactorial model of LR was 0.61 in AUC, 0.49 in specificity, and 0.72 in sensitivity. The values of similar quality metrics for the best model based on SGB were 0.64, 0.6, and 0.68, respectively.Conclusion. The use of SGB made it possible to verify the nonlinearly related predictors of POAF. The prospects for further research on this problem require the use of modern medical care methods that allow taking into account the individual characteristics of patients when developing predictive models.

scholarly journals Algorithm for selecting predictors and prognosis of atrial fibrillation in patients with coronary artery disease after coronary artery bypass grafting

2021 ◽  
Vol 26 (7) ◽  
pp. 4522
Author(s):  
B. I. Geltser ◽  
K. I. Shakhgeldyan ◽  
V. Yu. Rublev ◽  
B. O. Shcheglov ◽  
E. A. Kokarev
Keyword(s):  
Atrial Fibrillation ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Coronary Artery Bypass Grafting ◽  
Coronary Artery Bypass ◽  
Artery Bypass ◽  
Bypass Grafting ◽  
Artery Bypass Grafting ◽  
Model Based ◽  
Artery Disease

Aim. To develop an algorithm for selecting predictors and prognosis of atrial fibrillation (AF) in patients with coronary artery disease (CAD) after coronary artery bypass grafting (CABG).Material and methods. This retrospective study included 886 case histories of patients with CAD aged 35 to 81 years (median age, 63 years; 95% confidence interval [63; 64]), who underwent isolated CABG under cardiopulmonary bypass. Eighty-five patients with prior AF were excluded from the study. Two groups of persons were identified, the first of which consisted of 153 (19,1%) patients with newly recorded AF episodes, the second — 648 (80,9%) patients without cardiac arrhythmias. Preoperative clinical and functional status was assessed using 100 factors. Chi-squared, Fisher, and Mann-Whitney tests, as well as univariate logistic regression (LR) were used for data processing and analysis. Multivariate LR and artificial neural networks (ANN) were used to develop predictive models. The boundaries of significant ranges of potential predictors were determined by stepwise assessment of the odds ratio and p-value. The model accuracy was assessed using 4 metrics: area under the ROC-curve (AUC), sensitivity, specificity, and accuracy.Results. A comprehensive analysis of preoperative status of patients made it possible to identify 11 factors with the highest predictive potential, linearly and nonlinearly associated with postoperative AF (PAF). These included age (55-74 years for men and 60-78 years for women), anteroposterior and superior-inferior left atrial dimensions, transverse and longitudinal right atrial dimensions, tricuspid valve regurgitation, left ventricular end systolic dimension >49 mm, RR length of 1000-1100 ms, PQ length of 170-210 ms, QRS length of 50-80 ms, QT >420 ms for men and >440 ms for women, and heart failure with ejection fraction of 4560%. The metrics of the best predictive ANN model were as follows: AUC — 0,75, specificity — 0,73, sensitivity — 0,74, and accuracy — 0,73. These values in best model based on multivariate LR were lower (0,75; 0,7; 0,68 and 0,7, respectively).Conclusion. The developed algorithm for selecting predictors made it possible to verify significant predictive ranges and weight coefficients characterizing their influence on PAF development. The predictive model based on ANN has a higher accuracy than multivariate HR.

Prospective Analysis after Coronary-artery Bypass Grafting: Platelet GP IIIa Polymorphism (HPA-1b /PlA2) Is a Risk Factor for Bypass Occlusion, Myocardial Infarction, and Death

2000 ◽  
Vol 83 (03) ◽  
pp. 404-407 ◽  
Author(s):  
Michael Klein ◽  
Hans Dauben ◽  
Christiane Moser ◽  
Emmeran Gams ◽  
Rüdiger Scharf ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Coronary Artery Disease ◽  
Risk Factor ◽  
Coronary Artery ◽  
Odds Ratio ◽  
Bypass Surgery ◽  
Artery Bypass ◽  
Bypass Grafting ◽  
Hereditary Risk ◽  
Artery Disease

SummaryRecently, we have demonstrated that human platelet antigen 1b (HPA-1b or PlA2) is a hereditary risk factor for platelet thrombogenicity leading to premature myocardial infarction in preexisting coronary artery disease. However, HPA-1b does not represent a risk factor for coronary artery disease itself. The aim of our present study was to evaluate the role of HPA-1b on the outcome in patients after coronaryartery bypass surgery. We prospectively determined the HPA-1 genotype in 261 consecutive patients prior to saphenous-vein coronaryartery bypass grafting. The patients were followed for one year. Among patients with bypass occlusion, myocardial infarction, or death more than 30 days after surgery, the prevalence of HPA-1b was significantly higher than among patients without postoperative complications (60 percent, 6/10, vs. 24 percent, 58/241, p <0.05, odds ratio 4.7). Using a stepwise logistic regression analysis with the variables HPA1b, age, sex, body mass index, smoking (pack-years), hypertension, diabetes, cholesterol and triglyceride concentration, only HPA-1b had a significant association with bypass occlusion, myocardial infarction, or death after bypass surgery (p = 0.019, odds ratio 4.7). This study shows that HPA-1b is a hereditary risk factor for bypass occlusion, myocardial infarction, or death in patients after coronary-artery bypass surgery.

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