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Pan YH, Tsai HW, Lin HA, Chen CY, Chao CC, Lin SF, Hou SK. Early Identification of Sepsis-Induced Acute Kidney Injury by Using Monocyte Distribution Width, Red-Blood-Cell Distribution, and Neutrophil-to-Lymphocyte Ratio. Diagnostics (Basel) 2024; 14:918. [PMID: 38732331 PMCID: PMC11083534 DOI: 10.3390/diagnostics14090918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 04/25/2024] [Accepted: 04/25/2024] [Indexed: 05/13/2024] Open
Abstract
Sepsis-induced acute kidney injury (AKI) is a common complication in patients with severe illness and leads to increased risks of mortality and chronic kidney disease. We investigated the association between monocyte distribution width (MDW), red-blood-cell volume distribution width (RDW), neutrophil-to-lymphocyte ratio (NLR), sepsis-related organ-failure assessment (SOFA) score, mean arterial pressure (MAP), and other risk factors and sepsis-induced AKI in patients presenting to the emergency department (ED). This retrospective study, spanning 1 January 2020, to 30 November 2020, was conducted at a university-affiliated teaching hospital. Patients meeting the Sepsis-2 consensus criteria upon presentation to our ED were categorized into sepsis-induced AKI and non-AKI groups. Clinical parameters (i.e., initial SOFA score and MAP) and laboratory markers (i.e., MDW, RDW, and NLR) were measured upon ED admission. A logistic regression model was developed, with sepsis-induced AKI as the dependent variable and laboratory parameters as independent variables. Three multivariable logistic regression models were constructed. In Model 1, MDW, initial SOFA score, and MAP exhibited significant associations with sepsis-induced AKI (area under the curve [AUC]: 0.728, 95% confidence interval [CI]: 0.668-0.789). In Model 2, RDW, initial SOFA score, and MAP were significantly correlated with sepsis-induced AKI (AUC: 0.712, 95% CI: 0.651-0.774). In Model 3, NLR, initial SOFA score, and MAP were significantly correlated with sepsis-induced AKI (AUC: 0.719, 95% CI: 0.658-0.780). Our novel models, integrating MDW, RDW, and NLR with initial SOFA score and MAP, can assist with the identification of sepsis-induced AKI among patients with sepsis presenting to the ED.
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Affiliation(s)
- Yi-Hsiang Pan
- Department of Emergency Medicine, Taipei Medical University Hospital, Taipei 110, Taiwan; (Y.-H.P.); (H.-W.T.); (H.-A.L.); (C.-C.C.)
| | - Hung-Wei Tsai
- Department of Emergency Medicine, Taipei Medical University Hospital, Taipei 110, Taiwan; (Y.-H.P.); (H.-W.T.); (H.-A.L.); (C.-C.C.)
| | - Hui-An Lin
- Department of Emergency Medicine, Taipei Medical University Hospital, Taipei 110, Taiwan; (Y.-H.P.); (H.-W.T.); (H.-A.L.); (C.-C.C.)
- Graduate Institute of Injury Prevention and Control, College of Public Health, Taipei Medical University, Taipei 110, Taiwan
- Department of Emergency Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan
| | - Ching-Yi Chen
- Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan;
- Division of Nephrology, Department of Internal Medicine, Taipei Medical University Hospital, Taipei 110, Taiwan
| | - Chun-Chieh Chao
- Department of Emergency Medicine, Taipei Medical University Hospital, Taipei 110, Taiwan; (Y.-H.P.); (H.-W.T.); (H.-A.L.); (C.-C.C.)
- Department of Emergency Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan
| | - Sheng-Feng Lin
- Department of Emergency Medicine, Taipei Medical University Hospital, Taipei 110, Taiwan; (Y.-H.P.); (H.-W.T.); (H.-A.L.); (C.-C.C.)
- School of Public Health, College of Public Health, Taipei Medical University, 250 Wu-Hsing Street, Taipei 110, Taiwan
- Department of Public Health, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan
- Center of Evidence-Based Medicine, Taipei Medical University Hospital, Taipei 110, Taiwan
| | - Sen-Kuang Hou
- Department of Emergency Medicine, Taipei Medical University Hospital, Taipei 110, Taiwan; (Y.-H.P.); (H.-W.T.); (H.-A.L.); (C.-C.C.)
- Department of Emergency Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan
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Yan YT, Liu HM, Kong YF, Liu JM, Li C, Zhao BC, Liu KX. Association of preoperative neutrophil-lymphocyte ratio with acute kidney injury in patients with non-cardiac surgery: difference among surgical types. Int Urol Nephrol 2023; 55:2647-2656. [PMID: 36964822 DOI: 10.1007/s11255-023-03567-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 03/18/2023] [Indexed: 03/26/2023]
Abstract
PURPOSE To examine the relationship between Neutrophil-Lymphocyte Ratio (NLR) and Acute Kidney Injury (AKI) in patients undergoing noncardiac surgery, and subgroup analysis was performed for different types of non-cardiac surgery. METHODS The present retrospective cohort study included 10,159 adult patients who underwent major noncardiac surgery at Nanfang Hospital, Southern Medical University, between 2008 and 2018. Postoperative AKI was defined as an increase in serum creatinine level of at least 0.3 mg/dl within 48 h, or 1.5 times higher than baseline within 7 days postoperatively according to the Kidney Disease Improving Global Outcome. The correlation between preoperative NLR and postoperative AKI was determined by stepwise multivariate logistic regression analysis, and the predictive value of NLR was evaluated by the receiver operating characteristics curve (ROC) analysis. RESULTS Four hundred and eighty-five (4.77%) patients developed AKI postoperatively. Preoperative NLR was independently associated with postoperative AKI in all patients undergoing non-cardiac surgery (Odds ratio [OR], 1.03; 95% confidence interval [CI], 1.00-1.06). The optimal cut-off value of NLR was 2.12 according ROC analysis. The OR and 95% CI of AKI for NLR > 2.12 was 1.48 (1.21-1.81) compared with NLR ≤ 2.12. In addition, the positive association was mainly shown in patients undergone digestive system surgery with a cut-off value of 2.12 but not in neurological and musculoskeletal system surgeries. CONCLUSION The present study confirmed the association of preoperative NLR with postoperative AKI in digestive system surgical patients. A NLR value of 2.12 may be a useful cut-off to evaluate the risk of AKI.
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Affiliation(s)
- Yang-Tian Yan
- Department of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Hua-Min Liu
- Department of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Yi-Fan Kong
- Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Jia-Ming Liu
- Department of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Cai Li
- Department of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Bing-Cheng Zhao
- Department of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
| | - Ke-Xuan Liu
- Department of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
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Zhou F, Lu Y, Xu Y, Li J, Zhang S, Lin Y, Luo Q. Correlation between neutrophil-to-lymphocyte ratio and contrast-induced acute kidney injury and the establishment of machine-learning-based predictive models. Ren Fail 2023; 45:2258983. [PMID: 37755332 PMCID: PMC10538452 DOI: 10.1080/0886022x.2023.2258983] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 09/08/2023] [Indexed: 09/28/2023] Open
Abstract
OBJECTIVE To explore the correlation between neutrophil-to-lymphocyte ratio (NLR) and contrast-induced acute kidney injury (CI-AKI). To develop machine-learning (ML) methods based on NLR and other relevant high-risk factors to establish new and effective predictive models of CI-AKI. Methods: The data of 2230 patients, who underwent elective vascular intervention, coronary angiography and percutaneous coronary intervention were retrospectively collected. The patients were divided into a CI-AKI group and a non-CI-AKI group. Logistic regression was used to analyze the correlation of NLR with CI-AKI and high-risk factors for CI-AKI, and logistic regression (LR), random forest (RF), gradient boosting decision tree (GBDT), extreme gradient boosting (XGBoost), and naïve Bayes (NB) models based on NLR and the high-risk factors were established. RESULTS A high NLR(>2.844) was an independent risk factor for CI-AKI (odds ratio = 2.304, p < 0.001). The area under the ROC curve (AUC) of the NB model was the largest (0.774), indicating that it had the best performance. NLR, serum creatinine concentration, fasting plasma glucose concentration, and use of β-blocker all accounted for a large proportion of the predictive performance of each model and were the four most important factors affecting the occurrence of CI-AKI. CONCLUSIONS There was a significant correlation between NLR and CI-AKI The NB model exhibited the best predictive performance out of the five ML models based on NLR exhibited the best predictive performance out of the five ML models.
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Affiliation(s)
- Fangfang Zhou
- Department of Nephrology, Ningbo NO.2 Hospital, Ningbo, PR China
| | - Yi Lu
- Department of Nephrology, Ningbo NO.2 Hospital, Ningbo, PR China
| | - Youjun Xu
- Department of Nephrology, Ningbo NO.2 Hospital, Ningbo, PR China
| | - Jinpeng Li
- Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, Ningbo, Zhejiang Province, PR China
| | - Shuzhen Zhang
- Department of Nephrology, Ningbo NO.2 Hospital, Ningbo, PR China
| | - Yang Lin
- Health Management Center, Peking University Shenzhen Hospital, Peking University, Shenzhen, Guangdong Province, China
| | - Qun Luo
- Department of Nephrology, Ningbo NO.2 Hospital, Ningbo, PR China
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Qiu H, Zhu Y, Shen G, Wang Z, Li W. A Predictive Model for Contrast-Induced Acute Kidney Injury After Percutaneous Coronary Intervention in Elderly Patients with ST-Segment Elevation Myocardial Infarction. Clin Interv Aging 2023; 18:453-465. [PMID: 36987461 PMCID: PMC10040169 DOI: 10.2147/cia.s402408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 03/16/2023] [Indexed: 03/30/2023] Open
Abstract
Purpose Development and validation of a nomogram model to predict the risk of Contrast-Induced Acute Kidney Injury (CI-AKI) after emergency percutaneous coronary intervention (PCI) in elderly patients with acute ST-segment elevation myocardial infarction (STEMI). Patients and Methods Retrospective analysis of 542 elderly (≥65 years) STEMI patients undergoing emergency PCI in our hospital from January 2019 to June 2022, with all patients randomized to the training cohort (70%; n=380) and the validation cohort (30%; n=162). Univariate analysis, LASSO regression, and multivariate logistic regression analysis were used to determine independent risk factors for developing CI-AKI in elderly STEMI patients. R software is used to generate a nomogram model. The predictive power of the nomogram model was compared with the Mehran score 2. The area under the ROC curve (AUC), calibration curves, and decision curve analysis (DCA) was used to evaluate the prediction model's discrimination, calibration, and clinical validity, respectively. Results The nomogram model consisted of five variables: diabetes mellitus (DM), left ventricular ejection fraction (LVEF), Systemic immune-inflammatory index (SII), N-terminal pro-brain natriuretic peptide (NT-proBNP), and highly sensitive C-reactive protein(hsCRP). In the training cohort, the AUC is 0.84 (95% CI: 0.790-0.890), and in the validation cohort, it is 0.844 (95% CI: 0.762-0.926). The nomogram model has better predictive ability than Mehran score 2. Based on the calibration curves, the predicted and observed values of the nomogram model were in good agreement between the training and validation cohort. Decision curve analysis (DCA) and clinical impact curve showed that the nomogram prediction model has good clinical utility. Conclusion The established nomogram model can intuitively and specifically screen high-risk groups with a high degree of discrimination and accuracy and has a specific predictive value for CI-AKI occurrence in elderly STEMI patients after PCI.
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Affiliation(s)
- Hang Qiu
- Institute of Cardiovascular Diseases, Xuzhou Medical University, Xuzhou, Jiangsu, People’s Republic of China
| | - Yinghua Zhu
- Institute of Cardiovascular Diseases, Xuzhou Medical University, Xuzhou, Jiangsu, People’s Republic of China
| | - Guoqi Shen
- Institute of Cardiovascular Diseases, Xuzhou Medical University, Xuzhou, Jiangsu, People’s Republic of China
| | - Zhen Wang
- Institute of Cardiovascular Diseases, Xuzhou Medical University, Xuzhou, Jiangsu, People’s Republic of China
| | - Wenhua Li
- Institute of Cardiovascular Diseases, Xuzhou Medical University, Xuzhou, Jiangsu, People’s Republic of China
- Department of Cardiology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, People’s Republic of China
- Correspondence: Wenhua Li, Department of Cardiology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, People’s Republic of China, Tel +86 18052268293, Email
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Zhang Y, Xu Z, He W, Lin Z, Liu Y, Dai Y, Chen W, Chen W, He W, Duan C, He P, Liu Y, Tan N. Elevated Serum Uric Acid/Albumin Ratio as a Predictor of Post-Contrast Acute Kidney Injury After Percutaneous Coronary Intervention in Patients with ST-Segment Elevation Myocardial Infarction. J Inflamm Res 2022; 15:5361-5371. [PMID: 36131782 PMCID: PMC9484828 DOI: 10.2147/jir.s377767] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 08/22/2022] [Indexed: 11/23/2022] Open
Abstract
Background The serum uric acid/albumin ratio (sUAR), a novel inflammatory marker, effectively predicts acute kidney injury (AKI) and cardiovascular outcomes. However, whether the sUAR predicts post-contrast acute kidney injury (PC-AKI) in patients with ST-segment elevation myocardial infarction (STEMI) undergoing percutaneous coronary intervention (PCI) remains uncertain. In this study, we evaluated the association between the sUAR and PC-AKI in patients with STEMI undergoing PCI. Methods We consecutively recruited patients with STEMI who underwent PCI and stratified them into three groups according to the terciles of the sUAR. The primary outcome was the incidence of PC-AKI. The association between the sUAR and PC-AKI was assessed by multivariate logistic regression analysis. Results A total of 2861 patients with STEMI were included in this study. The incidence of PC-AKI increased stepwise with increasing sUAR tercile (2.6% vs 4.0% vs 11.6%, p < 0.001), and the incidence of in-hospital major adverse clinical events (MACEs) was highest among patients in the Q3 group. Multivariate logistic regression analysis revealed that the sUAR was also an independent predictor of PC-AKI (continuous sUAR, per 1-unit increase, odds ratio [OR] [95% confidence interval (CI)]: 1.06 [1.02–1.10], p = 0.005; tercile of sUAR, OR [95% CI] for Q2 and Q3: 1.18 [0.69–2.01] and 1.85 [1.12–3.06], respectively, with Q1 as a reference) but not in-hospital MACEs. In the receiver operating characteristic (ROC) analysis, the area under the curve (AUC) of the sUAR for predicting PC-AKI was 0.708 (95% CI: 0.666–0.751), and ROC analysis also showed that the sUAR was superior to uric acid and albumin alone in predicting PC-AKI. Conclusion Increasing sUAR was significantly associated with a higher risk of PC-AKI but not in-hospital MACEs in patients with STEMI who underwent PCI, suggesting that sUAR had a predictive value for PC-AKI after PCI in patients with STEMI. Further studies are required to confirm this finding.
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Affiliation(s)
- Yeshen Zhang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China.,Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China
| | - Zhengrong Xu
- Department of Cardiology, People's Hospital of Baoan Shenzhen, Guangzhou, People's Republic of China
| | - Wenfei He
- Department of Cardiology, Guangdong Provincial People's Hospital's Nanhai Hospital, the Second People's Hospital of Nanhai District Foshan City, Foshan, People's Republic of China
| | - Zehuo Lin
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China.,Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China
| | - Yaoxin Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China.,Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China
| | - Yining Dai
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China.,Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China
| | - Wei Chen
- Department of Cardiology, Fujian Provincial Clinical College of Fujian Medical University, Fujian Provincial Hospital, Fujian Institute of Cardiovascular Disease, Fuzhou, People's Republic of China
| | - Weikun Chen
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China.,Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China
| | - Wenlong He
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China.,Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China
| | - Chongyang Duan
- Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, People's Republic of China
| | - Pengcheng He
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China.,Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China
| | - Yuanhui Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China.,Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China
| | - Ning Tan
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China.,Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China
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Kumar R, Ahmed Khan K, Rai L, Ahmed Solangi B, Ammar A, Nauman Khan M, Ahmed I, Ahmed B, Saghir T, Akbar Sial J, Karim M. Comparative analysis of four established risk scores for predicting contrast induced acute kidney injury after primary percutaneous coronary interventions. IJC HEART & VASCULATURE 2021; 37:100905. [PMID: 34765719 PMCID: PMC8569474 DOI: 10.1016/j.ijcha.2021.100905] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 10/20/2021] [Accepted: 10/22/2021] [Indexed: 11/29/2022]
Abstract
Objectives This study aimed to compare Mehran Risk Score (MRS) with three well -known scoring systems namely CHA2DS2-VASc score, Canada Acute Coronary Syndrome Risk Score (C-ACS), and Thrombolysis in Myocardial Infarction risk index (TRI) to predict the contrast-induced acute kidney injury (CI-AKI) after primary percutaneous coronary intervention (PCI). Background CI-AKI is a common complication after primary PCI associated with an adverse prognosis. Methods In this study consecutive patients of primary PCI were included. Patients with chronic kidney diseases, exposure to the contrast medium within the past 7 days, and Killip class IV at presentation were excluded. MRS along with three risk scores namely CHA2DS2-VASc, C-ACS, and TRI were calculated for all patients and CI-AKI was defined as either 0.5 mg/dL or 25% relative increase in post-procedure serum creatinine. The area under the curve (AUC) curve was reported. Results Post primary PCI CI-AKI was observed in 63 (9.1%) patients out of 691 patients. The AUC was 0.745 [0.679-0.810] for MRS, 0.725 [0.662-0.788] for CHA2DS2-VASc, 0.671 [0.593-0.749] for C-ACS, and 0.734 [0.674-0.795] for TRI. Sensitivity and specificity were 61.9% [48.8-73.8%] and 76.0% [72.4-79.3%] for MRS ≥ 6.5, 66.7% [53.7-78.0%] and 66.7% [62.9-70.4%] for CHA2DS2-VASc ≥ 2, 52.4% [39.4-65.1%] and 79.9% [76.6-83.0%] for C-ACS ≥ 1, and 87.3% [76.5-94.4%] and 49.2% [45.2-53.2%] for TRI ≥ 16 respectively. Conclusions The MRS has shown higher discriminating power than CHA2DS2-VASc, C-ACS, and TRI. However, the TRI can be of good value in clinical practice due to its simplicity and high sensitivity in detecting patients at higher risk of CI-AKI after primary PCI.
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Affiliation(s)
- Rajesh Kumar
- National Institute of Cardiovascular Diseases (NICVD), Karachi, Pakistan
| | - Kamran Ahmed Khan
- National Institute of Cardiovascular Diseases (NICVD), Karachi, Pakistan
| | - Lajpat Rai
- National Institute of Cardiovascular Diseases (NICVD), Hyderabad, Pakistan
| | | | - Ali Ammar
- National Institute of Cardiovascular Diseases (NICVD), Karachi, Pakistan
| | | | - Ifikhar Ahmed
- National Institute of Cardiovascular Diseases (NICVD), Hyderabad, Pakistan
| | - Bilal Ahmed
- National Institute of Cardiovascular Diseases (NICVD), Karachi, Pakistan
| | - Tahir Saghir
- National Institute of Cardiovascular Diseases (NICVD), Karachi, Pakistan
| | - Jawaid Akbar Sial
- National Institute of Cardiovascular Diseases (NICVD), Karachi, Pakistan
| | - Musa Karim
- National Institute of Cardiovascular Diseases (NICVD), Karachi, Pakistan
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