Visceral Adiposity Index Plays an Important Role in Prognostic Prediction in Patients With Non-ST-Segment Elevation Acute Coronary Syndrome and Type 2 Diabetes Mellitus Undergoing Percutaneous Coronary Intervention

et al. 2022

BMC Pulm Med

Background Obstructive sleep apnea (OSA) is a modifiable risk factor for acute coronary syndrome (ACS), with high prevalence but low diagnostic rates. Therefore, it is particularly important to develop strategies for better screening for OSA in newly admitted ACS patients. Methods From March 2017 to October 2019, consecutive eligible patients with ACS underwent cardiorespiratory polygraphy during hospitalization. OSA was defined as an apnea–hypopnea index (AHI) ≥ 15 events/h. All anthropometric and oropharyngeal parameters are measured by specialist nurses. Results Finally, 761 ACS patients were recruited in the present study. Prevalence of moderate/severe OSA was 53.2% based on diagnostic criteria of AHI ≥ 15. Correlation analysis illustrated that AHI was positively correlated with anthropometric characteristics. In the multivariate model, only micrognathia (OR 2.02, 95% CI 1.02–4.00, P = 0.044), waist circumference (OR 1.08, 95% CI 1.04–1.11, P < 0.001), and STOP-BANG Questionnaire (SBQ) score (OR 1.45, 95% CI 1.27–1.66, P < 0.001) were independently associated with the prevalence of OSA. Receiver operating characteristic curve (ROC) analysis showed that the area under curve (AUC) of multivariable joint diagnosis (waist circumference, micrognathia combined with SBQ) was significantly better than the AUC of Epworth Sleepiness Scale (ESS) and SBQ (p < 0.0001 and p = 0.0002, respectively), and the results showed that AUC was 0.728. Under the optimal truncation value, the sensitivity was 73%, and the specificity was 61%, which was higher than the single index. Finally, we also constructed a nomogram model based on multiple logistic regression, to easily determine the probability of OSA in ACS patients. Conclusions The new screening tool has greater power than single questionnaire or measurements in screening of OSA among ACS patients. Trial registration Clinicaltrials.gov identifier NCT03362385, registered December 5, 2017.

Section: Discussionmentioning

confidence: 99%

The value of nurse-led anthropometric and oropharyngeal measurements combined with STOP-Bang questionnaire in screening for obstructive sleep apnea in patients with acute coronary syndrome: a prospective cohort study

Miao

et al. 2022

BMC Pulm Med

“…Previous studies have shown that the visceral adiposity index (VAI) is a better predictor of clinical and coronary angiographic severity assessment in patients with ACS than other obesity indices [29]. VAI is determined by WC, BMI, fasting triglycerides (TG), and high-density lipoprotein cholesterol [30]. Compared with peripheral adiposity (BMI), central adiposity (WC) was more predictive in ACS patients [31].…”

mentioning

confidence: 99%

The Value of Nurse-led Anthropometric and Oropharyngeal Measurements Combined with STOP-Bang Questionnaire in Screening for Obstructive Sleep Apnea in Patients with Acute Coronary Syndrome: A Prospective Cohort Study

Miao

et al. 2022

Preprint

Background: Obstructive sleep apnea (OSA) is a modifiable risk factor for acute coronary syndrome (ACS), with high prevalence but low diagnostic rates. Therefore, it is particularly important to develop strategies for better screening for OSA in newly admitted ACS patients. Methods: From March 2017 to October 2019, consecutive eligible patients with ACS underwent cardiorespiratory polygraphy during hospitalization. OSA was defined as an apnea-hypopnea index (AHI) ≥ 15 events/h. All anthropometric and oropharyngeal parameters are measured by specialist nurses. Results: Finally, 761 ACS patients were recruited in the present study. Prevalence of moderate/severe OSA was 53.2% based on diagnostic criteria of AHI ≥ 15. Correlation analysis illustrated that AHI was positively correlated with anthropometric characteristics. In the multivariate model, only micrognathia (OR 2.02, 95% CI 1.02-4.00, P = 0.044), waist circumference (OR 1.08, 95% CI 1.04-1.11, P < 0.001), and STOP-BANG Questionnaire (SBQ) score (OR 1.45, 95% CI 1.27-1.66, P < 0.001) were independently associated with the prevalence of OSA. Receiver operating characteristic curve (ROC) analysis showed that the area under curve (AUC) of multivariable joint diagnosis (waist circumference, micrognathia combined with SBQ) was significantly better than the AUC of Epworth Sleepiness Scale (ESS) and SBQ (p < 0.0001 and p = 0.0002, respectively), and the results showed that AUC was 0.728. Under the optimal truncation value, the sensitivity was 73%, and the specificity was 61%, which was higher than the single index. Finally, we also constructed a nomogram model based on multiple logistic regression, to easily determine the probability of OSA in ACS patients.Conclusions: The new screening tool has greater power than single questionnaire or measurements in screening of OSA among ACS patients.Trial registration: Clinicaltrials.gov identifier NCT03362385, registered December 5, 2017.

Derivation and Validation of a New Visceral Adiposity Index for Predicting Short-Term Mortality of Patients with Acute Ischemic Stroke in a Chinese Population

Chang

et al. 2023

Brain Sciences

The visceral adiposity index (VAI) is related to the occurrence of various cardiometabolic diseases, atherosclerosis, and stroke. However, few studies have analyzed the impact on the short-term prognosis of stroke. We assessed the effect of VAI on short-term prognoses in patients with acute ischemic stroke through a retrospective cohort study of 225 patients with acute stroke who were admitted to the neurological intensive care unit of our hospital. We collected metabolic indicators (blood pressure, fasting glucose, lipids), National Institutes of Health Stroke Scale (NIHSS) scores, symptomatic intracranial hemorrhage, and other disease evaluation indicators on 197 patients who were screened for inclusion. VAI was calculated by using baseline data (sex, height, weight, waist circumference (WC)). We assessed functional recovery according to modified Rankin scale scores after 90 days. The receiver operating characteristic (ROC) curve was used to calculate the VAI cutoff value that affects short-term outcomes. A nomogram that can predict the risk of short-term mortality in patients with acute ischemic stroke was drawn. In total, 28 patients died within 90 days. Those patients had higher VAI (p = 0.000), higher triglyceride (TG) (p = 0.020) and NIHSS scores (p = 0.000), and lower high-density lipoprotein cholesterol (HDL-C) (p = 0.000) than patients who survived. VAI had higher predictive value of short-term mortality than did body mass index (BMI), body fat mass index (BFMI), and WC. VAI and NIHSS scores were independent risk factors for the short-term mortality of patients with stroke. Patients with a VAI > 2.355 had a higher risk of short-term mortality. VAI has a predictive value higher than that of traditional metabolic indicators such as BMI, BFMI, and WC. The nomogram, composed of NIHSS, VAI, HDL-C, and TG, may predict the short-term mortality of cerebral infarction patients.