Literature DB >> 27648044

Impact of admission serum total cholesterol level on in-hospital mortality in patients with acute aortic dissection.

Xintian Liu1, Xi Su2, Hesong Zeng3.   

Abstract

OBJECTIVE: To find out the association between serum total cholesterol (TC) on admission and in-hospital mortality in patients with acute aortic dissection (AAD).
METHODS: From January 2007 to January 2014, we enrolled 1492 consecutive AAD patients with serum TC measured immediately on admission. Baseline characteristics and in-hospital mortality were compared between the patients with serum TC above and below the median (4.00 mmol/L). Propensity score matching (PSM) was used to account for known confounders in the study. Cox proportional hazard model was performed to calculate the hazard ratio (HR) and 95% confidence interval (CI) for admission serum TC levels.
RESULTS: With the use of PSM, 521 matched pairs of patients with AAD were yielded in this analysis due to their similar propensity scores. Patients with admission serum TC < 4.00 mmol/L, as compared with those with admission serum TC ≥ 4.00 mmol/L, had higher in-hospital mortality (11.7% vs. 5.8%; HR, 2.06; 95% CI, 1.33-3.19, P = 0.001). Stratified analysis according to Stanford classification showed that the inverse association between admission serum TC and in-hospital mortality was observed in patients with Type-A AAD (24.0% vs. 11.3%; HR, 2.18; 95% CI, 1.33 - 3.57, P = 0.002) but not in those with Type-B AAD (3.8% vs. 2.2%; HR, 1.71; 95% CI, 0.67 - 4.34, P = 0.261).
CONCLUSIONS: Lower serum TC level on admission was strongly associated with higher in-hospital mortality in patients with Type-A AAD.

Entities:  

Keywords:  Acute aortic dissection; In-hospital mortality; Propensity score matching; Total cholesterol

Year:  2016        PMID: 27648044      PMCID: PMC5017107          DOI: 10.12669/pjms.324.10124

Source DB:  PubMed          Journal:  Pak J Med Sci        ISSN: 1681-715X            Impact factor:   1.088


INTRODUCTION

Acute aortic dissection (AAD) remains a catastrophic cardiovascular disease.1 Overall about 20% of patients with AAD and aneurysm died before reaching hospital, 30% or so during hospital admission, and a further 20% over the next ten years.2 Hence, predictive markers to identify AAD patients at increased risk of death are valuable for risk stratification and guiding treatment. Total cholesterol (TC) is a well-known risk factor for cardiovascular diseases and a significant predictor of adverse outcome.3,4 Lipid-lowering therapy reduces mortality and improves clinical prognosis in patients with various cardiovascular diseases.5 However, the prognostic role of serum TC levels on admission hasn’t been clarified in patients with AAD. Besides, recent guidelines have insufficient evidence to recommend measuring serum TC levels and using lipid-lowering therapy for patients with AAD.6 The aim of the current study was to estimate the prognostic value of admission serum TC levels in patients with AAD.

METHODS

Study population

A total of 1492 consecutive patients with AAD were admitted from January 2007 to January 2014 in two hospitals (Tongji Hospital and Wuhan Asia Heart Hospital) in China. Patients with history of Marfan syndrome, systemic inflammatory disease, cancer, recent chest trauma, recent intervention and recent surgery were excluded. Moreover, patients with recent lipid-lowering therapy and incomplete data on any variables required for this study were also excluded. The study was approved by the Ethics Committees of the Tongji hospital and Wuhan Asia Heart Hospital. Both Ethics Committees specially approved that the requirement of informed consent was waived because data were going to be analyzed anonymously.

Definitions

The diagnosis of aortic dissection was based on the results of history, transthoracic echocardiography and contrast-enhanced CT. Patients with AAD is defined as patients admitting to hospital within 14 days after the onset of AAD symptoms. According to Stanford classification, the extent of AAD is categorized into Type-A AAD and Type-B AAD (whether involving the ascending aorta). Smoking and alcohol drinking were divided as never and ever. Hypertension was defined by a clinic record of systolic blood pressure ≥ 140 mmHg and diastolic blood pressure ≥ 90 mmHg. Diabetes mellitus was defined as self-reported physician’s diagnosis of diabetes, fasting glucose level ≥ 7.8 mmol/L, or glucose level ≥ 11.1 mmol/L at two hour after oral glucose challenge. The primary endpoint of the study was all-cause in-hospital mortality.

Laboratory assessments

Blood samples were drawn immediately on admission to the hospital. Serum TC and other biochemical variables (blood urea nitrogen, creatinine, uric acid, alanine aminotransferase, blood glucose, high-sensitive C-reactive protein and D-dimer) and hematological variables (leukocyte, hemoglobin, platelet) were measured by standard laboratory procedures on a Modular DP (Roche Diagnostics) and LH750 (Beckman Coulter), respectively.

Statistical analysis

Patients with AAD were divided into two groups according to the median value of TC (4.00 mmol/L) in our study. Baseline characteristics between the low and high TC group in patients with AAD were compared with Student’s t test for continuous variables and with χ2 test for dichotomous variables. Natural logarithmic transformation was used for positively skewed variables whenever appropriate. Kaplan-Meier method and Cox proportional hazard model were used to estimate the prognostic value of serum TC on in-hospital mortality in patients with AAD. Given the differences in baseline characteristics between the low and high serum TC level group in patients with AAD, propensity score matching (PSM) was used to identify a cohort of participants with similar baseline to reduce potential confounding in this observational study.7 Propensity scores were calculated with the use of a logistic regression model, with serum TC levels (above and below 4.00 mmol/L) as dependent variables, and with all baseline variables listed in Table-I as independent variables. We conducted PSM by using a 1:1 nearest neighbor matching protocol without replacement, with a caliper width equal to 20% of the standard deviation of the logarithm of the propensity score. Meanwhile the low and high TC group were exactly 1:1 matched on Stanford classification with the use of PSM module in SPSS software. Model fit was evaluated by Hosmer-Lemeshow goodness of fit test and the C-statistic test. After PSM, the baseline characteristics were compared with a paired t test for continuous variables and the McNemar test for categorical variables. Post match balance was assessed by standardized difference, which less than 10% for a given covariate suggests adequate balance. A two-tailed P value less than 0.05 was considered statistically significant. All statistical analyses were performed with SPSS V.19.
Table-I

Baseline characteristics according to admission serum TC categories in patients with AAD before and after PSM.

Before PSMAfter PSM

TC < 4.00 mmol/LTC ≥ 4.00 mmol/LPTC < 4.00 mmol/LTC ≥ 4.00 mmol/LP
Number of patients748744521521
Age, years53.3 (11.6)53.1 (11.1)0.77053.3 (11.6)52.9 (10.8)0.577
Sex0.1000.594
Men, %80.777.378.179.7
Women, %19.322.721.920.3
Smoking, %59.459.30.97456.656.81.000
Alcohol drinking, %44.148.70.07946.146.40.950
Hypertension, %82.887.90.00586.086.40.931
Diabetes, %3.64.80.2383.84.60.652
Stanford classification<0.0011.000
Type-A, %45.933.239.239.2
Type-B, %54.166.860.860.8
Time since AAD onset to admission<0.0010.792
≤ 24 h, %59.449.144.143.2
> 24 h, %40.650.955.956.8
Heart rate, beats/min80.6 (16.8)81.1 (15.0)0.52580.3 (16.1)81.2 (14.3)0.319
SBP, mmHg142.7 (29.0)150.2 (27.7)<0.001146.6 (28.9)148.8 (27.0)0.191
DBP, mmHg80.0 (19.1)83.8 (18.3)<0.00181.9 (18.8)83.3 (17.8)0.214
Leukocyte, 109/L11.4 (3.9)11.8 (3.7)0.04911.4 (3.7)11.5 (3.5)0.680
Hemoglobin, g/L124.8 (19.4)133.0 (17.7)<0.001129.0 (17.3)130.1 (17.5)0.217
Platelet, 109/L172.2 (76.1)178.5 (69.3)0.093176.4 (73.9)177.9 (73.2)0.736
BUN, mmol/L7.7 (4.5)6.8 (3.1)<0.0017.1 (3.8)7.0 (3.4)0.471
Creatinine*, umol/L4.5 (0.5)4.4 (0.4)<0.0014.5 (0.4)4.4 (0.4)0.370
Urea acid, umol/L341.8 (130.5)347.6 (113.8)0.366336.3 (117.0)337.3 (112.3)0.881
ALT*, IU/L3.2 (1.0)3.1 (0.7)0.0033.0 (0.8)3.1 (0.7)0.569
RGB, mmol/L7.7 (3.5)7.7 (2.5)0.9517.6 (2.8)7.6 (2.2)0.829
Hs-CRP*, mg/L3.2 (1.4)2.8 (1.3)<0.0013.0 (1.4)3.1 (1.2)0.773
D-dimer*, ug/ml1.5 (0.7)1.4 (0.7)0.0051.4 (0.7)1.4 (0.7)0.234
Treatment0.0020.723
Medicine, %44.248.745.143.2
Intervention, %39.030.634.436.3
Surgery, %16.820.720.520.5

Data are mean (SD) or %, unless otherwise noted.

Natural logarithmic transformation. AAD, acute aortic dissection; TC, total cholesterol; SBP, systolic blood pressure; DBP, diastolic blood pressure; BUN, blood urea nitrogen; ALT, alanine aminotransferase; Hs-CRP, high-sensitive C-reactive protein; RBG, random blood glucose; PSM, propensity score matching.

Baseline characteristics according to admission serum TC categories in patients with AAD before and after PSM. Data are mean (SD) or %, unless otherwise noted. Natural logarithmic transformation. AAD, acute aortic dissection; TC, total cholesterol; SBP, systolic blood pressure; DBP, diastolic blood pressure; BUN, blood urea nitrogen; ALT, alanine aminotransferase; Hs-CRP, high-sensitive C-reactive protein; RBG, random blood glucose; PSM, propensity score matching.

RESULTS

The baseline characteristics in AAD patients according to admission serum TC categories before and after PSM are presented in Table-I. Before PSM, there were major differences between the low TC group (< 4.00 mmol/L) and the high TC group (≥ 4.00 mmol/L) in several of the baseline variables. With the use of PSM, 521 matched pairs of AAD patients (Hosmer-Lemeshow goodness of fit test P = 0.48; C-statistic = 0.71) were yielded in the study. The low and high TC groups were exactly 1:1 matched on Stanford classification. There were no longer any significant differences between the low and high serum TC group for any covariates after PSM. The highest standardized differences less than 10% for all baseline variables indicated only minor differences between the two groups. In the 1492 AAD patients, mean serum TC was 4.08 ± 0.93 mmol/L, with TC ranging from 0.63 to 10.28 mmol/L. After PSM, mean serum TC were 3.44 ± 0.41 mmol/L (ranging from 1.52 to 3.99 mmol/L) and 4.71 ± 0.61 mmol/L (ranging from 4.00 to 7.29 mmol/L), in the low and high TC group, respectively. The median (interquartile range) of corresponding hospital stays were 12 (4-20) days and 12 (6-18) days, respectively. In-hospital survival analysis showed that the low TC group had significant higher all-cause in-hospital mortality than did the high TC group before PSM (15.4% vs. 9.0%, P < 0.001; Fig.1A). This conclusion also applied to the data after PSM (P = 0.001; Fig.1B). Stratified analysis according to Stanford classification showed that the low TC group was associated with an increased in-hospital mortality in patients with Type-A AAD (P = 0.001; Fig.1C), but not in those with Type-B AAD (P = 0.255; Fig.1D). The Cox proportional hazards regression analysis demonstrated that the HR (95% CI) of in-hospital mortality in Type-A AAD patients with admission serum TC < 4.00 mmol/L was 2.18 (1.33 - 3.57) after PSM (P = 0.002, Table-II).
Fig.1

Kaplan-Meier curve showing cumulative survival rate in hospital according to admission serum TC categories in AAD patients before PSM (A), in AAD patients after PSM (B), in Type-A AAD patients after PSM (C) and in Type-B AAD patients after PSM (D). AAD, acute aortic dissection; TC, total cholesterol; PSM, propensity score matching.

Table-II

Risk of in-hospital mortality by admission serum TC categories in AAD patients after PSM.

Number of deathEvent rate, %HR (95% CI)P value
Overall AAD
TC < 4.00 mmol/L (n=521) 61 11.72.06 (1.33-3.19)0.001
TC ≥ 4.00 mmol/L (n=521)* 30 5.81.00
Type-A AAD
TC < 4.00 mmol/L (n=204) 49 24.02.18 (1.33-3.57)0.002
TC ≥ 4.00 mmol/L (n=204)* 23 11.31.00
Type-B AAD
TC < 4.00 mmol/L (n=317) 12 3.81.71 (0.67-4.34)0.261
TC ≥ 4.00 mmol/L (n=317)* 7 2.21.00

Conference group. AAD, acute aortic dissection; TC, total cholesterol; PSM, propensity score matching; HR, hazard ratio; CI, confidence interval.

Kaplan-Meier curve showing cumulative survival rate in hospital according to admission serum TC categories in AAD patients before PSM (A), in AAD patients after PSM (B), in Type-A AAD patients after PSM (C) and in Type-B AAD patients after PSM (D). AAD, acute aortic dissection; TC, total cholesterol; PSM, propensity score matching. Risk of in-hospital mortality by admission serum TC categories in AAD patients after PSM. Conference group. AAD, acute aortic dissection; TC, total cholesterol; PSM, propensity score matching; HR, hazard ratio; CI, confidence interval.

DISCUSSION

In this propensity analysis, we found that a lower serum TC level on admission was significantly associated with higher in-hospital mortality in patients with AAD. Further stratified analysis according to Stanford classification showed that the inverse relationship between admission serum TC and in-hospital mortality was observed in patients with Type-A AAD but not in those with Type-B AAD. Although high TC is a well-known risk factor for cardiovascular diseases, low TC was found to be related with worse prognosis and higher mortality in cardiovascular diseases, such as coronary heart disease8 and heart failure.9 This inverse epidemiology is known as the “cholesterol paradox”.10 There was a similar conclusion in the present study. The findings in our study suggest that the hazardous effect of low TC appeared to be prominent in patients with Type-A AAD rather than in patients with Type-B AAD. Moreover, instead of developing a false sense of security in Type-A AAD patients with low TC, these patients may in fact need more intensive care and therapy. The mechanism underlying this inverse association between TC level and adverse prognosis is presently unclear. One explanation might be based on the concept that TC is an indicator of nutritional status. High TC might reflect better nutritional status, which is likely associated with better tolerance of acute medical stress. In contrast, lower TC might reflect reduced food intake and intestinal absorption due to bowel edema and may be a result of increased metabolic stress.11 This may partly explain why low TC is related with the poor outcome of AAD. Furthermore, it should be noted that low TC is associated with in-hospital mortality in Type-A but not in Type-B AAD. This might be because Type-A AAD is much more dangerous than Type-B AAD. In the study, in-hospital mortality in Type-A AAD was 23.9% (141/590), while in Type-B AAD was 4.5% (41/902). Higher mortality reflects higher stress, catabolism and nutritional consumption, resulting in TC reduction.12 In addition, other nutritional parameters, such as albumin and triglyceride, are also linked with mortality.13-15

Limitations of the study

Firstly, although PSM was used to account for known potential confounders in the study, the relationship between serum TC levels and in-hospital mortality in patients with AAD might have been confounded by other unknown or unmeasured parameters. Secondly, given that serum TC levels were obtained on admission, these blood samples might not have been fasting in many cases. Thirdly, only a single value of serum TC on admission was used, which might lead to exposure misclassification due to within-person variability and inability to investigate the impact of changes in serum TC level on in-hospital mortality. In summary, our findings suggest that low TC on admission was a strong predictor of in-hospital mortality in Type-A AAD patients, but not in Type-B AAD patients. Future studies are needed to confirm these findings and to better characterize the clinical role of serum TC in patients with Type-A AAD.
  15 in total

1.  Total cholesterol and vascular mortality: a meta-regression.

Authors:  Hisato Takagi; Takuya Umemoto
Journal:  Epidemiology       Date:  2013-09       Impact factor: 4.822

2.  Joint effects of systolic blood pressure and serum cholesterol on cardiovascular disease in the Asia Pacific region.

Authors: 
Journal:  Circulation       Date:  2005-11-21       Impact factor: 29.690

3.  2014 ESC Guidelines on the diagnosis and treatment of aortic diseases: Document covering acute and chronic aortic diseases of the thoracic and abdominal aorta of the adult. The Task Force for the Diagnosis and Treatment of Aortic Diseases of the European Society of Cardiology (ESC).

Authors:  Raimund Erbel; Victor Aboyans; Catherine Boileau; Eduardo Bossone; Roberto Di Bartolomeo; Holger Eggebrecht; Arturo Evangelista; Volkmar Falk; Herbert Frank; Oliver Gaemperli; Martin Grabenwöger; Axel Haverich; Bernard Iung; Athanasios John Manolis; Folkert Meijboom; Christoph A Nienaber; Marco Roffi; Hervé Rousseau; Udo Sechtem; Per Anton Sirnes; Regula S von Allmen; Christiaan J M Vrints
Journal:  Eur Heart J       Date:  2014-08-29       Impact factor: 29.983

4.  Thoracic aortic aneurysm and dissection: increasing prevalence and improved outcomes reported in a nationwide population-based study of more than 14,000 cases from 1987 to 2002.

Authors:  Christian Olsson; Stefan Thelin; Elisabeth Ståhle; Anders Ekbom; Fredrik Granath
Journal:  Circulation       Date:  2006-12-04       Impact factor: 29.690

5.  Low admission triglyceride and mortality in acute coronary syndrome patients.

Authors:  Owais A Khawaja; Hazem Hatahet; Joao Cavalcante; Sanjaya Khanal; Mouaz H Al-Mallah
Journal:  Cardiol J       Date:  2011       Impact factor: 2.737

Review 6.  Thoracic aortic aneurysm and dissection.

Authors:  Judith Z Goldfinger; Jonathan L Halperin; Michael L Marin; Allan S Stewart; Kim A Eagle; Valentin Fuster
Journal:  J Am Coll Cardiol       Date:  2014-10-21       Impact factor: 24.094

Review 7.  Nutritional abnormalities contributing to cachexia in chronic illness.

Authors:  Klaus K A Witte; Andrew L Clark
Journal:  Int J Cardiol       Date:  2002-09       Impact factor: 4.164

8.  Usefulness of serum albumin concentration for in-hospital risk stratification in frail, elderly patients with acute heart failure. Insights from a prospective, monocenter study.

Authors:  Stephane Arques; Emmanuel Roux; Pascal Sbragia; Richard Gelisse; Bertrand Pieri; Pierre Ambrosi
Journal:  Int J Cardiol       Date:  2007-10-29       Impact factor: 4.164

Review 9.  Reverse epidemiology of conventional cardiovascular risk factors in patients with chronic heart failure.

Authors:  Kamyar Kalantar-Zadeh; Gladys Block; Tamara Horwich; Gregg C Fonarow
Journal:  J Am Coll Cardiol       Date:  2004-04-21       Impact factor: 24.094

10.  An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies.

Authors:  Peter C Austin
Journal:  Multivariate Behav Res       Date:  2011-06-08       Impact factor: 5.923

View more
  3 in total

1.  The Association Between Hyperlipidemia and In-Hospital Outcomes in Takotsubo Cardiomyopathy.

Authors:  Pengyang Li; Xiaojia Lu; Catherine Teng; Michelle Hadley; Peng Cai; Qiying Dai; Bin Wang
Journal:  Diabetes Metab Syndr Obes       Date:  2021-01-12       Impact factor: 3.168

2.  Admission LDL-C and long-term mortality in patients with acute aortic dissection: a survival analysis in China.

Authors:  Xin Zeng; Xuan Zhou; Xue-Rui Tan; Ye-Qun Chen
Journal:  Ann Transl Med       Date:  2021-08

3.  TG/HDL-C ratio predicts in-hospital mortality in patients with acute type A aortic dissection.

Authors:  Yan-Juan Lin; Jian-Long Lin; Yan-Chun Peng; Sai-Lan Li; Liang-Wan Chen
Journal:  BMC Cardiovasc Disord       Date:  2022-08-01       Impact factor: 2.174

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.