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Karim, Inam, Ashraf, Shah, Adil, and Shafique: Areca Nut Chewing and the Risk of Re-hospitalization and Mortality Among Patients With Acute Coronary Syndrome in Pakistan

ABSTRACT

Objectives

Areca nut is widely consumed in many parts of the world, especially in South and Southeast Asia, where cardiovascular disease (CVD) is also a huge burden. Among the forms of CVD, acute coronary syndrome (ACS) is a major cause of mortality and morbidity. Research has shown areca nut chewing to be associated with diabetes, hypertension, oropharyngeal and esophageal cancers, and CVD, but little is known about mortality and re-hospitalization secondary to ACS among areca nut users and non-users.

Methods

A prospective cohort was studied to quantify the effect of areca nut chewing on patients with newly diagnosed ACS by categorizing the study population into exposed and non-exposed groups according to baseline chewing status. Cox proportional hazards models were used to examine the associations of areca nut chewing with the risk of re-hospitalization and 30-day mortality secondary to ACS.

Results

Of the 384 ACS patients, 49.5% (n=190) were areca users. During 1-month of follow-up, 20.3% (n=78) deaths and 25.1% (n=96) re-hospitalizations occurred. A higher risk of re-hospitalization was found (adjusted hazard ratio [aHR], 2.05; 95% confidence interval [CI], 1.29 to 3.27; p=0.002) in areca users than in non-users. Moreover, patients with severe disease were at a significantly higher risk of 30-day mortality (aHR, 2.77; 95% CI, 1.67 to 4.59; p<0.001) and re-hospitalization (aHR, 2.72; 95% CI, 1.73 to 4.26; p<0.001).

Conclusions

The 30-day re-hospitalization rate among ACS patients was found to be significantly higher in areca users and individuals with severe disease. These findings suggest that screening for a history of areca nut chewing may help to identify patients at a high risk for re-hospitalization due to secondary events.

INTRODUCTION

Approximately 600 million individuals throughout the world chew areca nut, making it the fourth leading form of substance abuse worldwide, and more than a quarter of areca nut users live in South Asia [1,2]. Areca nut chewing is emerging as a public health challenge in many Western countries due to the immigration of youth from Asia and Africa to these countries. Areca nuts are the main component of the vast majority of commonly consumed chewing products, including betel quid (paan), gutka, and supari. Areca nut is consumed in several forms, including green/unripe, ripe, raw, boiled/roasted, or fermented, in high-consuming countries such as India (where 46.4% of males and 20% of females consume gutka), Pakistan (with areca nut consumption rates of 50.3% for males and 28.5% for females) [3], Nepal, Bangladesh, Sri Lanka, Thailand, Malaysia, Indonesia, China, Cambodia, and Papua New Guinea. Additional sweeteners and flavors such as cloves, amber, coconut, mace, sugar crystals, nutmeg, camphor; tobacco, and lime are added as flavor enhancers [2].
Several studies have shown that areca nut chewing is linked with cancer of the oral cavity, esophagus, and liver, as well as cirrhosis of the liver [4-10]. Furthermore, some evidence also suggests that areca nut chewing is linked with obesity, type 2 diabetes mellitus (DM), hypertension (HTN), dyslipidemia, metabolic syndrome, and chronic kidney disease [11-15], which are also well-known risk factors of cardiovascular disease (CVD) [16,17]. CVD is still the leading cause of mortality globally, and the South Asian population is expected to significantly contribute to global CVD morbidity and mortality in decades to come.
Evidence from prospective studies suggests that areca nut chewing significantly amplifies the risk of all-cause and cardiovascular mortality [18,19]. Betel quid causes instant effects of vasoconstriction, an elevated pulse rate, and raised blood pressure [20]. Since it contains arsenic and manganese, it may increase the risk of HTN in chewers. Further, it also stimulates the sympathetic nervous system, resulting in the secretion of adrenal medullary catecholamine, which is linked to elevated homocysteine levels, another risk factor for heart disease. Moreover, periodontal disease, a known risk factor for CVD, is also a consequence of consuming betel quid [21]. A pooled analysis of 12 studies reported increased risk of developing CVD’s (relative risk [RR], 1.20, p<0.05) and of all-cause mortality (RR, 1.21, p<0.05) among areca nut chewers compared with non-chewers [22].
Among the forms of CVD, acute coronary syndrome (ACS) accounts for approximately 3.5 million hospital admissions worldwide [23]. Considerable disparities exist in the incidence and mortality of ACS from country to country. These disparities are also partly explained by differences in lifestyle habits and the prevalence of various cardiovascular risk factors [24].
Some evidence suggests that long-term areca nut chewing increases the risk of ACS by 3-fold (odds ratio [OR], 3.5; 95% confidence interval [CI], 2.0 to 6.2) [25]. However, there is little published evidence regarding the relationship of long-term areca nut chewing with the prognosis of patients who develop ACS. Given that 15 to 30% of patients with ACS either are re-hospitalized or die within 30 days of the acute event, it is important to understand the effects of areca nut chewing on the prognosis of these patients. Therefore, the purpose of the study was to determine the short-term (30-day) risk of re-hospitalization and mortality among ACS patients according to baseline areca nut chewing.

METHODS

Study Setting

This study was a hospital-based prospective cohort study conducted in 2014-2015. The study was conducted at the Department of Cardiology, Civil Hospital Karachi and the National Institute of Cardiovascular Diseases. Both of these are tertiary care hospitals, serving more than 60% of CVD patients in Karachi, the largest city of Pakistan, at low cost.

Cohort Selection

ACS represents “a set of clinical sign and symptoms similar to acute myocardial ischemia, covering clinical conditions from unstable angina to none-ST-segment elevation myocardial infarction (NSTEMI) to ST-segment elevation myocardial infarction (STEMI)” [26].
Patients were diagnosed with ACS by a consultant cardiologist at the time of presentation with any of the following conditions:
STEMI: “A history of typical chest pain for more than 20 minutes with ST elevation at the J point of ≥2 mm (0.2 mV) in at least 2 contiguous leads in males ≥1.5 mm (0.15 mV) in females in leads V2-V3, or ≥1 mm (0.1 mV) in other contiguous chest or the limb leads.”
NSTEMI: “A history of typical chest pain for >20 minutes with electrocardiogram (ECG) changes such as ST depression and raised creatine kinase-MB (CKMB) enzymes and troponin levels.”
Unstable angina: The presence of 1 or more of the following presentations without elevated CKMB enzymes or troponin was labeled as rest angina (usually lasting >20 minutes), new-onset angina (<2 months previously), or an increased pattern of occurrence (increasing in duration, intensity, and/or frequency).
Only newly admitted patients 30-70 years of age with a diagnosis of ACS at the time of admission were included in the study. Subjects with congenital heart disease, any previous or family history of ACS, or valvular or rheumatic heart disease were excluded from this study.

Data Collection Tool

A standardized questionnaire was used by a team of well-trained researchers to interview patients, gathering information about their demographic characteristics, lifestyle, health behaviors, and history of chewing areca nut. All information was collected by face-to-face interviews with patients within the first 48 hours of hospital admission.
The socio-demographic measures included age (30-40, 40-50, 50-60, and >60 years), sex (male or female), monthly income (used to define socioeconomic status [SES] as below average or average) and employment status (employed or unemployed). Health behaviors, particularly physical activity, were captured through self-reporting, and patients who reported no activity or less than 150 minutes of activity per week were labeled as physically inactive. Patients were also asked about their smoking status, and based on their responses were classified as “never smokers (those who had never smoked a cigarette), current smokers (those who reported smoking at least 100 cigarettes during their lifetime and reported smoking every day or some days at the time of participation), and ex-smokers (individuals who had quit smoking for at least 6 months)”. Physical measures included measurements of weight, height, blood pressure, and body mass index (BMI, kg/m2). BMI was categorized according to the standard World Health Organization BMI cut-offs that classify “normal weight as <23.0 kg/m2, overweight as 23.0-26.9 kg/m2, and obese as ≥27.0 kg/m2” [27]. Patients were classified as having DM if they had “a self-reported history of DM, were on anti-diabetic medications, or had abnormal fasting blood glucose levels (blood glucose concentration ≥110 mg/dL)”. HTN was defined as “a blood pressure ≥140 (systolic)/90 (diastolic) mmHg, previously diagnosed HTN, the usage of anti-hypertensive medications”.
According to the guidelines of the American Heart Association, the current pathway for assessing patients who may have ACS is based on the following 4 main diagnostic tools: “clinical history, ECG results, levels of cardiac markers, and the results of stress testing. On the basis of this initial information, patients are assigned to one of 4 categories: a non-cardiac diagnosis, chronic stable angina, possible ACS, or definite ACS”. Based on the diagnosis made by the cardiologist, we generated a variable for the initial severity of disease. Respondents with ‘unstable/mild angina’ were classified as having ‘non-severe disease’, whereas ‘possible myocardial infarction/definite’ ACS were considered to indicate ‘severe initial disease’.

Exposure Definition

Patients who persistently consumed areca nut on daily basis (on average 2-3 times a day) for more than 5 years were considered to be exposed [28,29], and were coded as ‘yes’ for this variable, while those who never used or had quit consuming areca for more than a year were considered to be non-exposed and coded as ‘no’ for this variable. Patients categorized as exposed were asked about the form of areca nut they used. Respondents who consumed “unripe or ripe; whole or sliced; raw, roasted, or sun-dried; boiled or soaked in water; or fermented (under mud) areca nut” were considered to consume areca nut ‘without additives’. In contrast, “mixtures of areca nut and flavoring ingredients with processed tobacco leaves, slaked lime, catechus, sweeteners, spices, piper betel, and essences” were considered to be forms ‘with additives or tobacco’ [30].

Follow-up

The follow-up of ACS patients started once they were discharged from the hospital. Patients were followed regularly in the outpatient clinic, and the final outcomes were recorded after 30 days had passed from the time of discharge. The outcomes: 30-day mortality and 30-day re-hospitalization were measured separately. Mortality was defined as death within 30 days due to any cardiac problem from the index admission date, and re-hospitalization was defined as readmission to the hospital due to any cardiac problem within 30 days from the discharge date. Therefore, 2 survival times were defined: the time from entry to death from CVD (within 30 days) and the time from entry to re-hospitalization (within 30 days) due to any cardiac problems.
For patients who did not return in 30 days, a telephone call was made by the researchers to evaluate their vital status and any cardiac re-hospitalization event in the 30 days after discharge. Only the first re-hospitalization within 30 days of discharge was considered a 30-day readmission. However, if a re-admitted patient died within this 30-day period, then in the re-hospitalization multivariate model, that patient’s follow-up was truncated at the date of re-hospitalization.

Sample Size Estimation

The sample size was calculated using the expected proportions of mortality in the exposed (30%) [31] and unexposed (15%) groups with a 95% confidence level and 80% power of the test. Accordingly, the minimum sample size for this study was 268, which was upsized to reduce estimation bias from loss to follow-up. The final estimated sample size was 384.

Ethical Approval

The study protocol was approved by the institutional review board (IRB) of Dow University of Health Sciences, Karachi, Pakistan (IRB no. IRB-514/DUHS/-14). Informed consent was obtained from all study participants prior to conducting the study.

Statistical Analysis

For data analysis, Stata version 11 (StataCorp., College Station, TX, USA) was used. Demographic characteristics, history of substance use, and the prevalence of comorbidities in patients with ACS were recorded. The statistical analysis included the chi-square test, as well as Cox proportional hazards regression with a significance level of 0.05 to examine the associations of areca use and other explanatory variables with 30-day mortality and re-hospitalization, which were the dependent variables used in the current study. Univariate analyses were performed using a Cox proportional hazards regression model to estimate the magnitude of the effect of areca nut chewing on 30-day mortality and re-hospitalization of ACS patients. Multivariable proportional hazards regression models were further applied, and the adjusted hazard ratio (aHR) for areca nut chewing was computed after adjusting for the confounders identified in the univariate analyses (p=0.25) separately for both 30-day mortality and re-hospitalization, including the following covariates: age, sex, BMI, smoking status, initial severity of disease, SES, exercise status, employment status, DM, and HTN.

RESULTS

A total of 384 patients with ACS were included in this study, among whom 38.2% (n=147) were diagnosed with severe disease. During 1-month follow-up, death occurred in 20.3% (n=78) of the patients and re-hospitalization in 25.0% (n=96). Of the patients, 49.5% (n=190) were areca nut users, among whom 78.9% (n=150) were users of areca nut with additives. A significant association was observed between areca use and 30-day re-hospitalization (p<0.001).
Further, significant associations were found between disease severity and 30-day mortality (p<0.001) and re-hospitalization (p<0.001). Among the patients with severe initial disease, 39.5% (n=58) were re-hospitalized and 34.0% (n=50) died within the 1-month follow-up.
Of the ACS patients, 72.1% (n=277) were male and 27.9% (n=107) were female. Males were more likely to use areca nut with tobacco additives than females (p=0.008). Death within 30 days occurred in 22.0% (n=61) of the male patients and 15.9% (n=17) of the female patients, and re-hospitalization took place in 25.6% (n=71) of the male patients and 23.4% (n=25) of the female patients. However, no statistically significant association was found between sex and 30-day mortality (p=0.18) or 30-day re-hospitalization (p=0.65).
Of the 286 smokers, 29.6% (n=114) were current smokers and 18.8% (n=72) were ex-smokers. The 30-day mortality rate was 32.5% (n=37) and 13.9% (n=10) in current smokers and ex-smokers, respectively, and the 30-day re-hospitalization rate was 35.1% (n=40) and 19.4% (n=14) in current smokers and ex-smokers, respectively. Respondents with a normal BMI (n=80), overweight (n=200), and obesity (n=104) had 30-day mortality rates of 23.7% (n=19), 24.0% (n=48), and 10.6% (n=11), respectively, and 30-day re-hospitalization rates of 28.8% (n=23), 27.0% (n=54), and 18.3% (n=19), respectively. The chi-square test showed significant associations of current smoking with 30-day mortality (p<0.01) and re-hospitalization (p=0.01). Furthermore, BMI was also significantly (p= 0.01) associated with mortality among the ACS patients.
Among the patients with DM, 12.9% (n=17) died, whereas 87.1% (n=115) remained alive over the 30-day follow-up, and 19.7% (n=26) were re-hospitalized. Similarly, among patients with HTN, 16.4% (n=32) and 23.6% (n=46) died and were re-hospitalized, respectively. A significant association was observed between DM and 30-day mortality (p=0.009). There were no significant associations of mortality and re-hospitalization with age, SES, employment status, or HTN. Table 1 summarizes the basic characteristics of the study sample.

Univariate Analyses

In the univariate Cox proportional hazards regression analyses, areca nut users had a higher risk of 30-day re-hospitalization (hazard ratio [HR], 2.09; 95% CI, 1.37 to 3.18; p<0.001) and 30-day mortality (HR, 1.43; 95% CI, 0.91 to 2.24; p=0.11) than non-users. Moreover, patients with severe disease had a higher risk of both 30-day re-hospitalization (HR, 2.69; 95% CI, 1.79 to 4.06; p<0.001) and 30-day mortality (HR, 3.17; 95% CI, 1.99 to 5.03; p<0.001). Current smokers also had a higher risk of both 30-day mortality (HR, 2.23; 95% CI, 1.38 to 3.59; p<0.001) and 30-day re-hospitalization (HR, 1.73; 95% CI, 1.12 to 2.67; p=0.01) than non-smokers. Respondents who were obese or had DM had a significantly lower risk of 30-day mortality (Table 2).

Multivariate Analyses

Areca nut chewers had a significantly increased risk (aHR, 2.05; 95% CI, 1.29 to 3.27; p=0.002) of re-hospitalization within 30-days compared with non-chewers after adjusting for disease severity, SES, employment status, physical activity, smoking status, and DM. Patients diagnosed with severe disease had a significantly higher risk of re-hospitalization (aHR, 2.72; 95% CI, 1.73 to 4.26; p<0.001). Current smokers (aHR, 1.28; 95% CI, 0.81 to 2.04; p=0.28) had a higher but non-significantly increased risk of re-hospitalization compared with nonsmokers. Respondents who had below-average SES, were unemployed, were physically active, or had DM showed lower but non-significantly reduced risks of 30-day re-hospitalization.
Respondents who chewed areca nut had a slightly increased risk of 30-day mortality (aHR, 1.65; 95% CI, 0.99 to 2.75; p=0.05) compared with non-chewers after adjusting for sex, disease severity, SES, employment status, smoking status, DM, and HTN. However, we also observed a significant higher risk of 30-day mortality (aHR, 2.77; 95% CI, 1.67 to 4.59; p<0.001) among patients with severe disease. Females (aHR, 1.15; 95% CI, 0.54 to 2.42; p=0.71) were found to be at a higher but non-significant increased risk for 30-day mortality compared with males. Individuals, who had below-average SES, were unemployed, or had DM or HTN had a lower but non-significant reduced risk of 30-day mortality (Table 3).
The overall findings of a significant increase in the risk of re-hospitalization and a non-significant increase in the risk of mortality remained consistent when the analyses were stratified based on HTN (Figure 1) and DM (Figure 2).

DISCUSSION

The findings of this study suggest that ACS patients who are long-term users of areca nut may have a slightly higher risk of 30-day mortality than non-users. This finding was not statistically significant when we controlled for other potential confounding factors such as smoking status, SES, the severity of disease, sex, and history of HT or DM. However, the severity of disease in ACS patients was found to be significantly related to the risk of 30-day re-hospitalization and mortality. Furthermore, we observed a significantly higher risk of 30-day re-hospitalization among ACS patients who were areca nut users than among non-users. The doubled risk of re-hospitalization remained consistent when we accounted for the effects of age, sex, severity of disease, history of HTN, and other covariates. These findings are not directly comparable with any published findings, as to our knowledge no previous evidence has been reported regarding the relationship of areca nut chewing to the prognosis of ACS patients.
Some studies have reported that areca nut chewers had significantly higher risks of cardiovascular and all-cause mortality than non-users [18,19]. The increase in mortality may be due to a higher risk of developing coronary artery disease [25], atrial fibrillation [32], and other forms of CVD [22] in the first place among areca nut chewers than among non-chewers. Since areca nut chewers are at a higher risk of developing CVD’s, they may experience high rates of cardiovascular and all-cause mortality later on compared with non-chewers. Our study also highlights the role of areca nut chewing in the prognosis of ACS patients after the acute event. Our findings suggest a slight increase in mortality and a significant risk of re-hospitalization among chewers compared with non-chewers. Several potential pathways can explain the observed difference in mortality and re-hospitalization between areca nut chewers and non-chewers.
Areca nut chewing is strongly linked with established CVD risk factors, including obesity [33], HTN [21], DM, and metabolic syndrome. Furthermore, recent studies have also reported that areca nut chewing increased systemic inflammation both in young [34] and middle-aged individuals [33]. Elevated inflammation may also explain the observation of subclinical atherosclerosis manifesting as increased carotid intima media thickness among areca nut chewers compared with non-chewers [20]. In essence, the higher prevalence of CVD risk factors coupled with elevated systemic inflammation and underlying atherosclerosis may explain the poor prognosis of areca nut chewers after ACS. However, the exact underlying biological mechanism that leads to repeated hospitalization and a slight increase in the risk of death needs further exploration.
To our knowledge, this is the first clinical study to examine the relationship between areca nut chewing and the short-term prognosis of ACS patients. The prospective design and reasonably large sample with clinically diagnosed ACS make the findings of this study fairly robust. However, certain limitations need to be highlighted. The sample of this study was recruited from 2 public sector hospitals, and the majority of the patients were from low to lower-middle socioeconomic classes, which may limit the generalizability of this study. However, the areca nut chewing habit is also remarkably common in these SESs of the population [35], especially in comparison with the upper-middle and upper socioeconomic classes. Therefore, the sample recruited for this study may nonetheless be representative of middle-aged and elderly areca nut users in our population. Secondly, we relied on self-reporting of cigarette smoking and other health risk behaviors, which may have some potential to bias our results. For instance, the higher risk of re-hospitalization observed in this study may have been due to a differential distribution of health risk behaviors between areca nut chewers and non-chewers. Secondhand smoke is a particular concern in this regard, as higher exposure to secondhand smoke among areca nut chewers may have led to increased re-hospitalization in this group. This is fairly plausible because many health risk behaviors are usually clustered together, and it may be reasonable to assume that areca nut chewers would have a higher exposure to secondhand smoke than non-chewers. We do not have any evidence to support this possibility, but if it is true, the findings of this study may have been prone to confounding bias, which remains the major limitation of this study. Nevertheless, we attempted to control for the potential confounding effects of several covariates, and the overall findings of the study remained consistent after multivariate adjustments.
In conclusion, areca nut chewing significantly increased the risk of re-hospitalization among ACS patients; however, there is little evidence that it increased short-term mortality. Further evidence from large clinical studies is needed to validate our findings and to elucidate the biological mechanism underlying these observations.

ACKNOWLEDGMENTS

We would like to acknowledge the Department of Cardiology, Civil Hospital Karachi and the National Institute of Cardiovascular Diseases for providing their support for data collection for this study.

CONFLICT OF INTEREST

The authors have no conflicts of interest associated with the material presented in this paper.

Figure. 1.
Thirty-day mortality in acute coronary syndrome patients according to areca nut consumption stratified by DM and HTN. (A) Areca nut use and 30-day mortality risk. (B, C) Areca nut use and mortality stratified by the presence of DM. (D, E) Areca nut use and mortality stratified by the presence of HTN. DM, diabetes mellitus; HTN, hypertension.
jpmph-51-2-71f1.tif
Figure. 2.
Re-hospitalization in acute coronary syndrome patients according to areca nut consumption stratified by DM and HTN. (A) Areca nut use and 30-day re-hospitalization risk. (B, C) Areca nut use and 30-day re-hospitalization stratified by the presence of DM. (D, E) Areca nut use and 30-day rehospitalization stratified by the presence of HTN. DM, diabetes mellitus; HTN, hypertension.
jpmph-51-2-71f2.tif
Table 1.
Baseline characteristics by status mortality and re-hospitalization (n=384)
Characteristics Total Re-hospitalization
Mortality
Yes No p-value1 Yes No p-value1
Areca use
 No 194 (50.5) 33 (17.0) 161 (82.9) <0.001 33 (17.0) 161 (82.9) 0.10
 Yes 190 (49.5) 63 (33.2) 127 (66.8) 45 (23.7) 145 (76.3)
Areca type (n = 190)
 Without additive 40 (21.1) 14 (35.0) 26 (65.0) 0.78 12 (30.0) 28 (70.0) 0.29
 Additive 150 (78.9) 49 (32.7) 101 (67.3) 33 (22.0) 117 (78.0)
Smoking status
 Never smoked 198 (51.5) 42 (21.2) 156 (78.8) 0.01 31 (15.6) 167 (84.3) <0.001
 Current smokers 114 (29.6) 40 (35.1) 74 (64.9) 37 (32.5) 77 (67.5)
 Ex-smokers 72 (18.8) 14 (19.4) 58 (80.6) 10 (13.9) 62 (86.1)
Disease sverity
 No 237 (61.7) 38 (16.0) 199 (83.9) <0.001 28 (11.8) 209 (88.2) <0.001
 Yes 147 (38.2) 58 (39.5) 89 (60.5) 50 (34.0) 97 (65.9)
Age (y)
 30-40 50 (13.0) 12 (24.0) 38 (76.0) 0.23 9 (18.0) 41 (82.0) 0.26
 40-50 116 (30.2) 31 (26.7) 85 (73.3) 30 (25.9) 86 (74.1)
 50-60 121 (31.5) 23 (19.0) 98 (80.9) 19 (15.7) 102 (84.3)
 >60 97 (25.3) 30 (30.9) 67 (69.1) 20 (20.6) 77 (79.4)
Sex
 Male 277 (72.1) 71 (25.6) 206 (74.4) 0.65 61 (22.0) 216 (77.9) 0.18
 Female 107 (27.9) 25 (23.4) 82 (76.6) 17 (15.9) 90 (84.1)
Body mass index
 Normal 80 (20.8) 23 (28.8) 57 (71.2) 0.17 19 (23.7) 61 (76.3) 0.01
 Over weight 200 (52.1) 54 (27.0) 146 (73.0) 48 (24.0) 152 (76.0)
 Obese 104 (27.1) 19 (18.3) 85 (81.7) 11 (10.6) 93 (89.4)
Socioeconomic status
 Below average 117 (30.5) 24 (20.5) 93 (79.5) 0.18 17 (14.5) 100 (85.5) 0.06
 Average 267 (69.5) 72 (26.9) 195 (73.0) 61 (22.8) 206 (77.2)
Occupation
 Unemployed 159 (41.4) 33 (20.8) 126 (79.2) 0.11 25 (15.7) 134 (84.3) 0.06
 Employed 225 (58.6) 63 (28.0) 162 (72.0) 53 (23.5) 172 (76.4)
Physically active
 No 343 (89.3) 91 (26.5) 252 (73.5) 0.04 71 (20.7) 272 (79.3) 0.59
 Yes 41 (10.7) 5 (12.2) 36 (87.8) 7 (17.1) 34 (82.9)
Diabetes mellitus
 No 252 (65.6) 70 (27.8) 182 (72.2) 0.08 61 (24.2) 191 (75.8) 0.009
 Yes 132 (34.4) 26 (19.7) 106 (80.3) 17 (12.9) 115 (87.1)
Hypertension
 No 189 (49.2) 50 (26.5) 139 (73.5) 0.52 46 (24.3) 143 (75.7) 0.05
 Yes 195 (50.8) 46 (23.6) 149 (76.4) 32 (16.4) 163 (83.6)

Values are presented as number (%).

1 Chi-square test.

Table 2.
Areca nut use and risk of 30-day re-hospitalization and mortality among ACS patients: univariate analysis1
Characteristics Re-hospitalization
Mortality
HR (95% CI) p-value HR (95% CI) p-value
Areca use
 No 1.00 (reference) 1.00 (reference)
 Yes 2.09 (1.37, 3.18) <0.001 1.43 (0.91, 2.24) 0.11
Areca type
 Without additive 1.00 (reference) 1.00 (reference)
 Additive 0.98 (0.54, 1.79) 0.97 0.74 (0.38, 1.44) 0.39
Smoking status
 Never smoked 1.00 (reference) 1.00 (reference)
 Current smokers 1.73 (1.12, 2.67) 0.01 2.23 (1.38, 3.59) <0.001
Disease severity
 No 1.00 (reference) 1.00 (reference)
 Yes 2.69 (1.79, 4.06) <0.001 3.17 (1.99, 5.03) <0.001
Age (y)
 30-40 1.00 (reference) 1.00 (reference)
 40-50 1.16 (0.59, 2.27) 0.65 1.47 (0.70, 3.11) 0.30
 50-60 0.80 (0.40, 1.62) 0.55 0.85 (0.38, 1.86) 0.71
 > 60 1.41 (0.72, 2.75) 0.31 1.17 (0.53, 2.58) 0.69
Sex
 Male 1.00 (reference) 1.00 (reference)
 Female 0.89 (0.56, 1.41) 0.64 0.68 (0.40, 1.18) 0.17
Body mass index
 Normal 1.00 (reference) 1.00 (reference)
 Over weight 0.93 (0.57, 1.52) 0.79 1.04 (0.61, 1.77) 0.87
 Obese 0.59 (0.32, 1.08) 0.09 0.42 (0.20, 0.89) 0.02
Socioeconomic status
 Average 1.00 (reference) 1.00 (reference)
 Below average 0.75 (0.47, 1.19) 0.234 0.61 (0.36, 1.05) 0.08
Occupation
 Un-employed 1.00 (reference) 1.00 (reference)
 Employed 0.68 (0.45, 1.04) 0.08 0.62 (0.39, 1.01) 0.06
Physically active
 No 1.00 (reference) 1.00 (reference)
 Yes 0.41 (0.16, 1.02) 0.057 0.76 (0.35, 1.65) 0.49
Diabetes mellitus
 No 1.00 (reference) 1.00 (reference)
 Yes 0.66 (0.42, 1.03) 0.07 0.49 (0.28, 0.84) 0.01
Hypertension
 No 1.00 (reference) 1.00 (reference)
 Yes 0.87 (0.58, 1.30) 0.51 0.64 (0.41, 1.01) 0.06

ACS, acute coronary syndrome; HR, hazard ratios; CI, confidence interval.

1 Cut-off ≤0.25: a univariate cut-off value to shortlist variables for multivariable analyses.

Table 3.
Areca nut use and risk of 30-day mortality and re-hospitalization among ACS patients: multivariate analysis
Characteristics Re-hospitalization1
Mortality2
aHR (95% CI) p-value aHR (95% CI) p-value
Areca use
 No 1.00 (reference) 1.00 (reference)
 Yes 2.05 (1.29, 3.27) 0.002 1.65 (0.99, 2.75) 0.05
Smoking status
 Never smoked 1.00 (reference) 1.00 (reference)
 Current smokers 1.28 (0.81, 2.04) 0.28 1.61 (0.91, 2.84) 0.10
Disease severity
 No 1.00 (reference) 1.00 (reference)
 Yes 2.72 (1.73, 4.26) <0.001 2.77 (1.67, 4.59) <0.001
Sex
 Male 1.00 (reference)
 Female - - 1.15 (0.54, 2.42) 0.71
SES
 Average 1.00 (reference) 1.00 (reference)
 Below average 0.87 (0.52, 1.46) 0.62 0.75 (0.41, 1.36) 0.35
Employment status
 Unemployed 1.00 (reference) 1.00 (reference)
 Employed 0.76 (0.46, 1.25) 0.29 0.82 (0.45, 1.50) 0.52
Physical activity
 No 1.00 (reference)
 Yes 0.51 (0.20, 1.27) 0.15 - -
DM
 No 1.00 (reference) 1.00 (reference)
 Yes 0.77 (0.46, 1.27) 0.31 0.55 (0.29, 1.03) 0.06
HTN
 No 1.00 (reference)
 Yes - - 0.73 (0.43, 1.26) 0.27

ACS, acute coronary syndrome; aHR, adjusted hazard ratios; CI, confidence interval; SES, socioeconomic status; DM, diabetes mellitus; HTN, hypertension.

1 Adjusted for severity SES, employment status, physical activity, smoking status and DM.

2 Adjusted for severity, sex, SES, employment status, smoking status, DM and HTN.

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