Impact of Albumin-bilirubin (ALBI) score on the Prognostic Significance of Patients with Heart Failure:A Retrospective Cohort Study

2020 ◽  
Author(s):  
Su Han ◽  
Chuanhe Wang ◽  
Fei Tong ◽  
Ying Li ◽  
Zhichao Li ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Retrospective Cohort ◽  
Poor Prognosis ◽  
Prognostic Significance ◽  
Continuous Variable ◽  
The Other ◽  
Hospital Death ◽  
Net Reclassification Improvement ◽  
C Statistic ◽  
Integrated Discrimination Improvement

Abstract Objectives Liver dysfunction is prevalent in heart failure (HF) patients and it can bring a poor prognosis. Presently, albumin-bilirubin (ALBI) score has been designed as an effective and convenient scoring system for assessing liver function, but the correlation linking ALBI and in-hospital mortality in HF patients remains unclear.Methods and Results A total of 9749 patients with HF (from January 2013 to December 2018) was enrolled and retrospectively analyzed.
The main outcome is in-hospital death. We examined and analyzed ALBI as a continuous variable as well as according to 3 categories. Following adjustment for multivariable, patients which occurred in-hospital death was remarkably elevated in Tertile 3 group (ALBI>-2.27) (OR=1.670, 95% CI: 1.231~2.265, p=0.001), relative to the other two groups (Tertile 1: <-2.59; Tertile 2: -2.59~-2.27). When ALBI was inspected as a continuous variable, the incidence of HF patients with in-hospital death will increase by 8.2%. (For ALBI score per 0.1 score increasing, OR=1.082, 95% CI: 1.052~1.113, p<0.001). ALBI score for estimating in-hospital mortality under C-statistic was 0.650 (95% CI: 0.641~0.660, p<0.001) and the cut-off value of ALBI score was -2.32 with a specificity of 0.630 and a sensitivity of 0.632. Moreover, ALBI score can enhance the estimation potential of NT-proBNP (NT-proBNP+ALBI vs NT-proBNP: C-statistic: z=1.990, p=0.0467; net reclassification improvement=0.4012, p<0.001; integrated discrimination improvement= 0.0082, p<0.001). Conclusions In patients with HF, ALBI score was an independent prognosticator of in-hospital death. The predictive significance of NT-proBNP +ALBI was superior to NT-proBNP, and ALBI score can enhance the estimation potential of NT-proBNP.

scholarly journals Prognostic impact of albumin-bilirubin score on the prediction of in-hospital mortality in patients with heart failure: a retrospective cohort study

BMJ Open ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. e049325
Author(s):  
Su Han ◽  
Chuanhe Wang ◽  
Fei Tong ◽  
Ying Li ◽  
Zhichao Li ◽  
...  
Keyword(s):  
Heart Failure ◽  
Cohort Study ◽  
Hospital Mortality ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Continuous Variable ◽  
Hospital Death ◽  
Prognostic Impact ◽  
C Statistic ◽  
Patients With Heart Failure

ObjectivesLiver dysfunction is prevalent in patients with heart failure (HF) and can lead to poor prognosis. The albumin-bilirubin (ALBI) score is considered as an effective and convenient scoring system for assessing liver function. We analysed the correlation between ALBI and in-hospital mortality in patients with HF.DesignA retrospective cohort study.Setting and participantsA total of 9749 patients with HF (from January 2013 to December 2018) was enrolled and retrospectively analysed.Main outcome measuresThe main outcome is in-hospital mortality.ResultsALBI score was calculated using the formula (log10 bilirubin [umol/L] * 0.66) + (albumin [g/L] * −0.085), and analysed as a continuous variable as well as according to three categories. Following adjustment for multivariate analysis, patients which occurred in-hospital death was remarkably elevated in tertile 3 group (ALBI ≥2.27) (OR 1.671, 95% CI 1.228 to 2.274, p=0.001), relative to the other two groups (tertile 1: ≤2.59; tertile 2: −2.59 to −2.27). Considering ALBI score as a continuous variable, the in-hospital mortality among patients with HF increased by 8.2% for every 0.1-point increase in ALBI score (OR 1.082; 95% CI 1.052 to 1.114; p<0.001). The ALBI score for predicting in-hospital mortality under C-statistic was 0.650 (95% CI 0.641 to 0.660, p<0.001) and the cut-off value of ALBI score was −2.32 with a specificity of 0.630 and a sensitivity of 0.632. Moreover, ALBI score can enhance the predictive potential of NT-pro-BNP (NT-pro-BNP +ALBI vs NT-pro-BNP: C-statistic: z=1.990, p=0.0467; net reclassification improvement=0.4012, p<0.001; integrated discrimination improvement=0.0082, p<0.001).ConclusionsIn patients with HF, the ALBI score was an independent prognosticator of in-hospital mortality. The predictive significance of NT-proBNP +ALBI score was superior to NT-proBNP, and ALBI score can enhance the predictive potential of NT-proBNP.

scholarly journals Blood Glucose Control Among Critically Ill Patients with Brain Injury

2009 ◽  
Vol 36 (4) ◽  
pp. 436-442 ◽  
Author(s):  
Michael J. Jacka ◽  
Clinton J. Torok-Both ◽  
Sean M. Bagshaw
Keyword(s):  
Blood Glucose ◽  
Hospital Mortality ◽  
Retrospective Cohort ◽  
Blood Glucose Control ◽  
Median Number ◽  
Hospital Death ◽  
Lengths Of Stay ◽  
Brain Injured ◽  
Prolonged Duration ◽  
Injured Patients

Objective:To evaluate the incidence of hypoglycemia, hyperglycemia and blood glucose (BG) variability in brain-injured patients and their association with clinical outcomes.Methods:Retrospective cohort study of brain-injured patients admitted to an 11- bed neurosciences intensive care unit (ICU) from January 1 to December 31, 2003.Results:We included 606 patients. Mean age was 52.3 years, 60.6% were male, 11.9% had diabetes mellitus, and 64% were post-operative. Seventy-five (12.4%) received intensive insulin therapy (IIT) for a median (IQR) 72 (24-154) hours. Hypoglycemia and hyperglycemia occurred in 4.6% (96.4% receiving IIT) and 9.6% (77.6% receiving IIT). Median number of episodes per patient was 3 (75% with ≥2) and 4 (81% with ≥2) for hypoglycemia and hyperglycemia. Variable glycemic control occurred in 3.8% (100% receiving IIT) with median number of 13 episodes per patient. In-hospital mortality was 16.7%, median (IQR) ICU and hospital lengths of stay were 2 (1-5) and 8 (3-19) days. Hypoglycemia, hyperglycemia and BG variability showed non-significant but consistent associations with hospital mortality and prolonged lengths of ICU and hospital stay. The rate of recurrence of episodes showed stronger and significant associations with outcome, in particular for BG variability and hyperglycemia.Conclusions:Hypoglycemia, hyperglycemia and BG variability are relatively common in brain-injured patients and are associated with IIT. An increased frequency of episodes, in particular for BG variability and hyperglycemia, was associated with greater risk of both hospital death and prolonged duration of stay.

Multiple biomarkers covering distinct pathways for predicting outcomes after ischemic stroke

Neurology ◽  
2018 ◽  
Vol 92 (4) ◽  
pp. e295-e304 ◽  
Author(s):  
Chongke Zhong ◽  
Zhengbao Zhu ◽  
Aili Wang ◽  
Tan Xu ◽  
Xiaoqing Bu ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Primary Outcome ◽  
Prognostic Significance ◽  
Complement C3 ◽  
Vascular Events ◽  
Net Reclassification Improvement ◽  
Increased Risk ◽  
Multiple Biomarkers ◽  
Novel Biomarkers ◽  
Integrated Discrimination Improvement

ObjectiveTo study the prognostic significance of multiple novel biomarkers in combination after ischemic stroke.MethodsWe derived data from the China Antihypertensive Trial in Acute Ischemic Stroke, and 12 informative biomarkers were measured. The primary outcome was the combination of death and major disability (modified Rankin Scale score ≥3) at 3 months after ischemic stroke, and secondary outcomes included major disability, death, and vascular events.ResultsIn 3,405 participants, 866 participants (25.4%) experienced major disability or died within 3 months. In multivariable analyses, elevated high-sensitive C-reactive protein, complement C3, matrix metalloproteinase-9, hepatocyte growth factor, and antiphosphatidylserine antibodies were individually associated with the primary outcome. Participants with a larger number of elevated biomarkers had increased risk of all study outcomes. The adjusted odds ratios (95% confidence intervals) of participants with 5 elevated biomarkers were 3.88 (2.05–7.36) for the primary outcome, 2.81 (1.49–5.33) for major disability, 5.67 (1.09–29.52) for death, and 4.00 (1.22–13.14) for vascular events, compared to those with no elevated biomarkers. Simultaneously adding these 5 biomarkers to the basic model with traditional risk factors led to substantial reclassification for the combined outcome (net reclassification improvement 28.5%, p < 0.001; integrated discrimination improvement 2.2%, p < 0.001) and vascular events (net reclassification improvement 37.0%, p = 0.001; integrated discrimination improvement 0.8%, p = 0.001).ConclusionWe observed a clear gradient relationship between the numbers of elevated novel biomarkers and risk of major disability, mortality, and vascular events. Incorporation of a combination of multiple biomarkers observed substantially improved the risk stratification for adverse outcomes in ischemic stroke patients.

scholarly journals Risk stratification model for in-hospital death in patients undergoing percutaneous coronary intervention: a nationwide retrospective cohort study in Japan

BMJ Open ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. e026683 ◽  
Author(s):  
Taku Inohara ◽  
Shun Kohsaka ◽  
Kyohei Yamaji ◽  
Hideki Ishii ◽  
Tetsuya Amano ◽  
...  
Keyword(s):  
Percutaneous Coronary Intervention ◽  
Cohort Study ◽  
Risk Stratification ◽  
Hospital Mortality ◽  
Retrospective Cohort ◽  
Validation Cohort ◽  
Coronary Intervention ◽  
Hospital Death ◽  
Risk Models ◽  
Percutaneous Coronary

ObjectivesTo provide an accurate adjustment for mortality in a benchmark, developing a risk prediction model from its own dataset is mandatory. We aimed to develop and validate a risk model predicting in-hospital mortality in a broad spectrum of Japanese patients after percutaneous coronary intervention (PCI).DesignA retrospective cohort study was conducted.SettingThe Japanese-PCI (J-PCI) registry includes a nationally representative retrospective sample of patients who underwent PCI and covers approximately 88% of all PCIs in Japan.ParticipantsOverall, 669 181 patients who underwent PCI between January 2014 and December 2016 in 1018 institutes.Main outcome measuresIn-hospital death.ResultsThe study population (n=669 181; mean (SD) age, 70.1(11.0) years; women, 24.0%) was divided into two groups: 50% of the sample was used for model derivation (n=334 591), while the remaining 50% was used for model validation (n=334 590). Using the derivation cohort, both ‘full’ and ‘preprocedure’ risk models were developed using logistic regression analysis. Using the validation cohort, the developed risk models were internally validated. The in-hospital mortality rate was 0.7%. The preprocedure model included age, sex, clinical presentation, previous PCI, previous coronary artery bypass grafting, hypertension, dyslipidaemia, smoking, renal dysfunction, dialysis, peripheral vascular disease, previous heart failure and cardiogenic shock. Angiographic information, such as the number of diseased vessel and location of the target lesion, was also included in the full model. Both models performed well in the entire validation cohort (C-indexes: 0.929 and 0.926 for full and preprocedure models, respectively) and among prespecified subgroups with good calibration, although both models underestimated the risk of mortality in high-risk patients with the elective procedure.ConclusionsThese simple models from a nationwide J-PCI registry, which is easily applicable in clinical practice and readily available directly at the patients’ presentation, are valid tools for preprocedural risk stratification of patients undergoing PCI in contemporary Japanese practice.

scholarly journals Ejection Fraction by Echocardiography for a Selective Use of Magnetic Resonance After Infarction

2020 ◽  
Vol 13 (12) ◽  
Author(s):  
Victor Marcos-Garces ◽  
Jose Gavara ◽  
Maria P. Lopez-Lereu ◽  
Jose V. Monmeneu ◽  
Cesar Rios-Navarro ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Magnetic Resonance ◽  
Ejection Fraction ◽  
St Segment Elevation ◽  
Segment Elevation Myocardial Infarction ◽  
Net Reclassification Improvement ◽  
C Statistic ◽  
St Segment ◽  
Integrated Discrimination Improvement ◽  
Improvement Index

Background Cardiac magnetic resonance (CMR) permits robust risk stratification of discharged ST-segment–elevation myocardial infarction patients, but its indiscriminate use in all cases is not feasible. We evaluated the utility of left ventricular ejection fraction (LVEF) by echocardiography for a selective use of CMR after ST-segment–elevation myocardial infarction. Methods Echocardiography and CMR were performed in 1119 patients discharged for ST-segment–elevation myocardial infarction included in a multicenter registry. The prognostic power of CMR beyond echocardiography-LVEF was assessed using adjusted C statistic, net reclassification improvement index, and integrated discrimination improvement index. Results During a 4.8-year median follow-up, 136 (12%) first major adverse cardiac events (MACE) occurred (47 cardiovascular deaths and 89 readmissions for acute heart failure). In the entire group, CMR-LVEF (but not echocardiography-LVEF) independently predicted MACE occurrence. The MACE rate significantly increased only in patients with CMR-LVEF<40% (≥50%: 7%, 40%–49%: 9%, <40%: 27%, P <0.001). Most patients displayed echocardiography-LVEF≥50% (629, 56%), and they had a low MACE rate (57/629, 9%). In patients with echocardiography-LVEF<50% (n=490, 44%), the MACE rate was also low in those with CMR-LVEF≥40% (24/278, 9%) but significantly increased in patients with CMR-LVEF<40% (55/212, 26%; P <0.001). Compared with echocardiography-LVEF, CMR-LVEF significantly improved MACE prediction in the group of patients with echocardiography-LVEF<50% (C statistic, 0.80 versus 0.72; net reclassification improvement index, 0.73; integrated discrimination improvement index, 0.10) but not in those with echocardiography-LVEF≥50% (C statistic 0.66 versus 0.66; net reclassification improvement index, 0.17; integrated discrimination improvement index, 0.01). Conclusions A straightforward strategy based on a selective use of CMR for risk prediction in ST-segment–elevation myocardial infarction patients with echocardiography-LVEF<50% can provide insights into patient care. The cost-effectiveness of this approach, as well as the direct implications in clinical management, should be further explored.

scholarly journals Preoperative Plasma Fibrinogen and Serum Albumin Score Is an Independent Prognostic Factor for Resectable Stage II-III Gastric Cancer

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Menghui Wu ◽  
Yuchen Pan ◽  
Zhifang Jia ◽  
Yueqi Wang ◽  
Na Yang ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Prognostic Factor ◽  
Serum Albumin ◽  
Poor Prognosis ◽  
Response Rate ◽  
Prognostic Significance ◽  
Independent Prognostic Factor ◽  
The Other ◽  
Plasma Fibrinogen ◽  
Radical Gastrectomy

Background. Radical gastrectomy with D2 lymphadenectomy is recognized as the standard treatment for resectable advanced gastric cancer. Preoperative fibrinogen and albumin measurements may bring clinical benefits in terms of providing advanced notice of a poor prognosis or recurrence in patients undergoing radical resection. The aim of this study was to identify markers that are predictive of a poor prognosis prior to surgery. Methods. Eight hundred forty-two consecutive patients who underwent curative radical gastrectomy at our hospital between 2008 and 2012 were retrospectively reviewed. Based on plasma fibrinogen and serum albumin levels, preoperative fibrinogen and albumin scores (Fib-Alb scores) were investigated, and the prognostic significance was determined. Results. The patients were classified according to a Fib-Alb score of 0 (n=376), 1 (n=327), or 2 (n=139). When the correlation between the response rate and the change in the Fib-Alb score was investigated, the response rate was significantly lower in patients with an increased Fib-Alb score than in the other patients. In the survival analysis, patients in the Fib-Alb high-score group exhibited significantly worse recurrence-free survival (RFS) (P=0.030) than patients in the other groups. A multivariate analysis using clinical stage and the change in the Fib-Alb score as covariates revealed that a change in the Fib-Alb score (Fib-Alb score 1, HR: 1.31, 95% CI: 1.03-1.66, P=0.028; Fib-Alb score 2, HR: 1.61, 95% CI: 1.20-2.17, P=0.001) was a significant independent predictive factor for RFS. Conclusions. The prognosis of patients with high fibrinogen and low albumin levels is poor. The Fib-Alb score was shown to be an independent prognostic factor for postoperative recurrence in gastric cancer patients who underwent radical gastrectomy.

scholarly journals Prognostic impact of alkaline phosphatase for in-hospital mortality in patients with acute coronary syndrome: a prospective cohort study in China

BMJ Open ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. e025648
Author(s):  
Tongtong Yu ◽  
Yundi Jiao ◽  
Jia Song ◽  
Dongxu He ◽  
Jiake Wu ◽  
...  
Keyword(s):  
Alkaline Phosphatase ◽  
Acute Coronary Syndrome ◽  
Cohort Study ◽  
Hospital Mortality ◽  
Continuous Variable ◽  
Prognostic Performance ◽  
Coronary Syndrome ◽  
C Statistic ◽  
Grace Score ◽  
Multivariable Adjustment

ObjectivesAlkaline phosphatase (ALP) can promote vascular calcification, but the association between ALP and in-hospital mortality in patients with acute coronary syndrome (ACS) is not well defined.DesignA prospective cohort study.Setting and participantsA total of 6368 patients with ACS undergoing percutaneous coronary intervention (PCI) from 1 January 2010 to 31 December 2017 were analysed.Main outcome measuresIn-hospital mortality was used in this study.ResultsALP was analysed both as a continuous variable and according to three categories. After multivariable adjustment, in-hospital mortality was significantly higher in Tertile 3 group (ALP＞85 U/L) (OR: 2.399, 95% CI 1.080 to 5.333, p=0.032), compared with other two groups (Tertile 1: ＜66 U/L; Tertile 2: 66–85 U/L). When ALP was evaluated as a continuous variable, after multivariable adjustment, the ALP level was associated with an increased risk of in-hospital mortality (OR: 1.011, 95% CI 1.002 to 1.020, p=0.014). C-statistic of ALP for predicting in-hospital mortality was 0.630 (95% CI 0.618 to 0.642, p=0.001). The cut-off value was 72 U/L with a sensitivity of 0.764 and a specificity of 0.468. However, ALP could not significantly improve the prognostic performance of Global Registry of Acute Coronary Events (GRACE) score (GRACE score+ALP vs GRACE score: C-statistic: z=0.485, p=0.628; integrated discrimination improvement: 0.014, p=0.056; net reclassification improvement: 0.020, p=0.630).ConclusionsIn patients with ACS undergoing PCI, ALP was an independent predictor of in-hospital mortality. But it could not improve the prognostic performance of GRACE score.

scholarly journals Predictive Value of Triglyceride-Glucose Index for In-hospital Mortality in Patients With Severe Fever With Thrombocytopenia Syndrome: A Multi-Center Observational Study

2022 ◽  
Vol 8 ◽  
Author(s):  
Tingyu Zhang ◽  
Yuanni Liu ◽  
Ziruo Ge ◽  
Di Tian ◽  
Ling Lin ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Predictive Value ◽  
Fasting Blood Glucose ◽  
Hospital Death ◽  
Baseline Model ◽  
Tyg Index ◽  
Net Reclassification Improvement ◽  
Triglyceride Glucose Index ◽  
Hospitalization Period ◽  
Severe Fever

Background: Triglyceride-glucose (TyG) index has been proposed as a reliable indicator for insulin resistance and proved to be closely associated with the severity and mortality risk of infectious diseases. It remains indistinct whether TyG index performs an important role in predicting in-hospital mortality in patients with severe fever with thrombocytopenia syndrome (SFTS).Methods: The current study retrospectively recruited patients who were admitted for SFTS from January to December 2019 at five medical centers. TyG index was calculated in accordance with the description of previous study: Ln [fasting triglyceride (TG) (mg/dl) × fasting blood glucose (FBG) (mg/dl)/2]. The observational endpoint of the present study was defined as the in-hospital death.Results: In total, 79 patients (64.9 ± 10.5 years, 39.2% female) who met the enrollment criteria were enrolled in the current study. During the hospitalization period, 17 (21.5%) patients died in the hospital. TyG index remained a significant and independent predictor for in-hospital death despite being fully adjusted for confounders, either being taken as a nominal [hazard ratio (HR) 5.923, 95% CI 1.208–29.036, P = 0.028] or continuous (HR 7.309, 95% CI 1.854–28.818, P = 0.004) variate. TyG index exhibited a moderate-to-high strength in predicting in-hospital death, with an area under the receiver operating characteristic curve (AUC) of 0.821 (95% CI 0.712–0.929, P &lt; 0.001). The addition of TyG index displayed significant enhancement on the predictive value for in-hospital death beyond a baseline model, manifested as increased AUC (baseline model: 0.788, 95% CI 0.676–0.901 vs. + TyG index 0.866, 95% CI 0.783–0.950, P for comparison = 0.041), increased Harrell's C-index (baseline model: 0.762, 95% CI 0.645–0.880 vs. + TyG index 0.813, 95% CI 0.724–0.903, P for comparison = 0.035), significant continuous net reclassification improvement (NRI) (0.310, 95% CI 0.092–0.714, P = 0.013), and significant integrated discrimination improvement (0.111, 95% CI 0.008–0.254, P = 0.040).Conclusion: Triglyceride-glucose index, a novel indicator simply calculated from fasting TG and FBG, is strongly and independently associated with the risk of in-hospital death in patients with SFTS.

scholarly journals Comparing Charlson and Elixhauser comorbidity indices with different weightings to predict in-hospital mortality: an analysis of national inpatient data

2020 ◽  
Author(s):  
Narayan Sharma ◽  
René Schwendimann ◽  
Olga Endrich ◽  
Dietmar Ausserhofer ◽  
Michael Simon
Keyword(s):  
Hospital Mortality ◽  
Generalized Additive Models ◽  
Predictive Performance ◽  
Population Based ◽  
Mortality Prediction ◽  
Additive Models ◽  
Net Reclassification Improvement ◽  
C Statistic ◽  
Patient Health Status ◽  
Patient Health

Abstract Background When chronic conditions are associated with outcomes such as mortality, comorbidity measures are essential both to describe patient health status and to adjust for potential confounding. The Charlson and Elixhauser comorbidity indices are well-established for risk adjustment and mortality prediction. Still, as optimal comorbidity weightings remain undetermined. The present study aimed to derive a set of new population-based Elixhauser comorbidity weightings, then to validate and compare their mortality predictivity against those of the Charlson and Elixhauser-based van Walraven weightings estimates in a population-based cohort.Methods Retrospective analysis was conducted with routine Swiss general hospital (102 hospitals) data (2012–2017) for 6.09 million inpatient cases. To derive the population-based weightings for the Elixhauser comorbidity index, we randomly halved the inpatient data and validated the results for Part 1 alongside the established weighting systems used for Part 2. Charlson and van Walraven weightings were applied to Charlson and Elixhauser comorbidity indices. Generalized additive models were weighted and adjusted for age, gender and hospital types.Results Overall, the population-based weights’ c-statistic (0.867, 95% CI: 0.865–0.868) was consistently higher than Elixhauser-van Walraven’s (0.863, 95% CI: 0.862–0.864) and Charlson’s (0.850, 95% CI: 0.849–0.851) in the derivation and validation groups and net reclassification improvement of new weights offers improved predictive performance of 0.4% on the Elixhauser-van Walraven and 6.1% on the Charlson weightings.Conclusions All weightings were validated with the national dataset and the new population-based weightings model improved the prediction of in-hospital mortality. The newly derive weights support patient population-based analysis of health outcomes.

Anticardiolipin antibody and anti-β2 glycoprotein I antibody are potential risk markers of ischaemic stroke in Chinese adults

Rheumatology ◽  
2019 ◽  
Vol 59 (8) ◽  
pp. 1834-1841
Author(s):  
Shengyong Dong ◽  
Bin Pei ◽  
Wuxiang Xie ◽  
Jing Wang ◽  
Qiang Zeng
Keyword(s):  
Cardiovascular Disease ◽  
Ischaemic Stroke ◽  
Risk Prediction ◽  
Stroke Risk ◽  
Chinese Adults ◽  
Net Reclassification Improvement ◽  
Glycoprotein I ◽  
C Statistic ◽  
Stroke Group ◽  
Integrated Discrimination Improvement

Abstract Objectives aCL and anti-β2 glycoprotein I antibody (aβ2GPI) are autoantibodies associated with thromboembolic diseases. Here we investigated whether they are correlated with ischaemic cardiovascular disease in a Chinese population. Methods Serum total aCL and aβ2GPI isotypes (IgA, IgG or IgM, separately) were measured in 11 015 Chinese adults. Differences of antibody level between disease and non-disease groups were examined by t-test. The correlation between antibody and ischaemic cardiovascular disease was determined by logistic regression analysis. Performance of risk prediction models employed aCL or aβ2GPI isotypes was evaluated by C statistic, net reclassification improvement index and integrated discrimination improvement. Results Total aCL and aβ2GPI isotypes maintained low levels and increased with increasing age except total aCL and aβ2GPI IgG in participants older than 70 years. When distinguishing ischaemic cardiovascular disease by coronary heart disease (CHD) and ischaemic stroke, the stroke group had higher levels of aCL and aβ2GPI isotypes than the non-stroke group, while the CHD group only had a slightly higher aβ2GPI IgG than non-CHD groups. aCL and aβ2GPI were positively correlated with stroke but not with CHD, and improved the performance of conventional risk factors for stroke risk prediction, with C statistic from 0.769 (95% CI 0.744, 0.793) to 0.777 (95% CI 0.754, 0.800) (aβ2GPI IgG, P = 0.0091), and 0.778 (95% CI 0.754, 0.801) (aβ2GPI IgA, P = 0.0793). Stroke risk could be better reclassified by aCL and aβ2GPI, in association with both net reclassification improvement and integrated discrimination improvement statistics (P &lt; 0.05). Conclusion aCL and aβ2GPI are associated with ischaemic stroke and have added value for stroke risk prediction.

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