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Cardiology: Open Access(COA)

ISSN: 2476-230X | DOI: 10.33140/COA

Impact Factor: 1.85

Research Article - (2020) Volume 5, Issue 2

An Observational Study to Assess Outcome of NSTEMI Patients with Raised Serum Uric Acid Level in a Tertiary Care Hospital of Bangladesh

Chakma PJ 1 , Barua M 2 *, Kuryshi SA 3 , Barua B 4 and Roy MS 5
 
1RMO, Sadar Hospital, Khagrachhari, Bangladesh
2Senior consultant (Medicine), Sadar Hospital, Khagrachhari, Bangladesh
3Senior Consultant (Cardiology), Sadar Hospital, Khagrachhari, Bangladesh
4Junior Consultant, TB hospital, Bangladesh
5MO, UHC, Fatickchari, Chittagong, Bangladesh
 
*Corresponding Author: Barua M, Senior consultant (Medicine), Sadar Hospital, Khagrachhari, Bangladesh

Received Date: May 18, 2020 / Accepted Date: May 28, 2020 / Published Date: Jul 11, 2020

Copyright: ©Milton Barua.,This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Background: Non-ST segment elevation myocardial infarction (NSTEMI) is the commonest form of ACS and a leading global cause of premature morbidity and mortality. Evidences link serum uric acid with short and long-term major adverse outcomes (MACE) in patients with NSTEMI.

Objective: To see in-hospital outcome of NSTEMI patients with raised serum uric acid level.

Methodology: This cross-sectional observational study was conducted in the Department of Cardiology, Sylhet MAG Osmani Medical College Hospital, Sylhet during the period from July, 2017 to June, 2019. Fifty NSTEMI patients with raised serum uric acid (>7mg/dl in male; >6mg/dl in female) level (Group A) and fifty NSTEMI patients with normal serum uric acid level (group B) admitted within 24 hours of symptom onset were consequently enrolled. In-hospital complications and mortality were recorded while continuing standard treatment for the event.

Results: The mean age was 60.82 (SD 9.62) years in group A and 49.90 (SD 10.40) years in group B. The mean age of the patients of group A was significantly higher than patients of Group B (p<0.001). Male preponderance was in both groups (84.0% versus 80.0%; p=0.603). Diabetes mellitus (52.0% versus 22.0%; p=0.002), hypertension (78.0% versus 52.0%; p=0.039) and dyslipidaemia (48.0% versus 12.0%; p<0.001) were more frequent in group A than that of group B. But smoking status (70.0% versus 66.0%; p=0.668), family history of CAD (10.0% versus 26.0%; p=0.476) did not differ significantly. Killip class did not differ significantly between group A and group B (p=0.127). In-hospital mortality was 5 (10.0%) patients in group A and 2 (4.0%) patients in group B; did not reach the level of significance (p>0.05) and complications such as post MI angina, cardiogenic shock, acute left ventricular failure, re-infarction, sinus tachycardia, sinus bradycardia, atrial flutter, atrial fibrillation, bundle branch block, ventricular tachycardia, ventricular fibrillation did not differ significantly between the two groups (p>0.05).

Conclusion: There is no significant difference between in-hospital outcome (mortality and complications) of NSTEMI patients with raised and normal serum uric acid level.

Keywords

NSTEMI, Outcome, Uric Acid, Cardiogenic Shock, LVF, AF, BBB

Introduction

The term Acute Coronary Syndrome (ACS) is a unifying construct representing a pathophysiologic and clinical spectrum culminating in acute myocardial ischemia. ACS encompasses Unstable Angina (UA) and ST-segment elevation MI (STEMI) or non-ST-segment Myocardial infarction (MI) is one of the most common life threat-ening diagnoses in emergency hospital admissions. Most of the complications occur during the first few hours of hospitalization. It is a major cause of death and disability worldwide. MI may be the first manifestation of coronary artery disease (CAD) or it may oc- cur, repeatedly, in patients with established disease. MI is defined in pathology as myocardial cell death due to prolonged myocardi- al ischemia [2]. The clearest separation between UA and NSTEMI is the absence or presence, respectively, of abnormal concentra- tions of biomarkers indicative of myocardial necrosis, either the troponins (which are structural proteins) or creatine kinase-MB (which is a cardiac enzyme) [3].

Angiographic, intravascular ultrasound (IVUS), and angioscopic studies indicate that UA/NSTEMI usually results from the disrup- tion of an atherosclerotic plaque with a subsequent platelet-rich thrombus that obstructs microvascular blood flow and transiently or partially obstruct epicardial blood flow.

Atherosclerosis is a chronic, lipid-driven inflammatory disease of the arterial wall leading to multifocal plaque development [4]. As a consequence of different technical measures in developed coun- tries, in-hospital mortality from AMI in the general population de- clined by half, from 15% to about 7.5% and it is now as low as 3.5% [5]. The case fatality rates for cardiovascular events in low-income countries, represented largely by India, was 17%; this is much high- er than in higher income countries, which had a case fatality rate of 6.5% [6].

In Bangladesh, data regarding case fatality rate of AMI are based on discrete and small scale studies. The exact proportion of ACS patients receiving early reperfusion therapy (Thrombolysis, Stent- ing or CABG) is also unknown. Thus, the result would be more alarming in Bangladesh if nationwide study could be conducted.

Acute myocardial infarctions have a substantially increased risk of death after hospitalization, when shock, left ventricular failure (LVF) or arrhythmias occur during their hospital stay. So cardio- genic shock, LVF and arrhythmias should be treated properly. Knowledge of potential complications will help in proper man- agement of acute MI with good outcome [7]. In a French study, conducted from 1995 to 2015, it was shown that in patients with STEMI, mortality has continued to decrease since 2010, to reach an all-time low in 2015. In patients with NSTEMI, despite recent changes in antithrombotic medications at the acute stage, mortality has remained similar in 2015 in comparison with 2010 [8].

The better understanding of the pathophysiology of acute ischemic syndromes is associated with new therapeutic perspectives, which go beyond simple obstruction of coronary artery flow. The con- tinuous development and use of platelet glycoprotein IIb/IIIa in- hibitors, stent implantation, and the perfect knowledge of dynamic phenomena, such as thrombosis, genetics, inflammation, and pos- sibly infectious agents and plaque stabilizers, will be the central fo- cus of this old, but always renewed discussion.

Elevated Serum Uric Acid (SUA) level has been recently recognized as a risk factor for the development of the arterial hypertension, subclinical atherosclerosis, stroke and heart failure [9]. Hyperuri- caemia is believed to cause endothelial dysfunction, vasoconstric- tion, platelet aggregation and act as a potent pro- inflammatory agent in the pathogenesis of atherothrombosis. Higher SUA deter- mined on admission (within 48 hours since the symptom onset) in a cohort of patients from Croatia was independently associated with higher short-term mortality and poorer long-term survival after AMI [10].

The baseline levels of SUA strongly and independently predict ad- verse outcomes, in particular all-cause and cardiovascular (CV) mortality, and regardless of whether patients were on diuretics or not. SUA as a low-cost and widely available biomarker might improve clinical risk stratification of patients with left ventricular systolic dysfunction and/or heart failure following acute MI [11].

In a recent study done in Bangladesh it has been concluded that on admission serum uric acid estimation is a predictor of in-hospital poor outcome in patients with acute myocardial infarction. As it is a cheap and noninvasive procedure, it can be routinely practiced in cardiac emergency department for risk stratification of patients [9].

There have been enormous studies in multiple domains of ACS pathophysiology to detect unknown or less understood etiologi- cal and/or associated factors of ACS in the hope of a better un- derstanding of the grave pathological condition so that newer approaches could be invented to combat the ominous impact of atherosclerotic cardiovascular disease on mankind.

Numerous studies on prognostic importance of raised SUA on mortality and complications of AMI patients have been conduct- ed in many countries. Many studies found significant association of raised SUA with increased complications including in-hospital deaths in AMI patients. But there are also several studies that either found no association or inconclusive association between raised SUA and complications in AMI patients [9].

More prospective randomized trials on lowering SUA are needed in order to clarify the role of the uric acid in the development and progression of cardiovascular disease and to establish if reducing SUA level will translate into a better cardiovascular outcome. Hy- peruricaemia will become then a meaningful target for the preven- tion and treatment of cardiovascular disease [9].

Atherosclerosis is an innate inflammatory disease, inflammatory activity is not confined to just a few atherosclerotic lesions but is present, more or less, in all such lesions throughout the body [12]. As a systemic disease atherosclerosis demands for a systemic ap- proach, focusing on cardiovascular risk factors and the overall bur- den of disease to ensure appropriate identification and treatment of those who are at highest risk, the so called vulnerable patients.

This study was done to observe and record the in-hospital outcome including mortality and other complications in NSTEMI patients with raised serum uric acid level and compare the outcome with that of NSTEMI patients with normal serum uric acid level.

Methods And Materials

This was a cross-sectional observational study that was conducted in the Department of Cardiology, MAG Osmani Medical College Hospital, Sylhet, during the period from July 2017 to June 2019. Purposive consecutive sampling of 50 cases of NSTEMI with raised SUA level and 50 cases of NSTEMI with normal SUA level who were admitted in CCU included in this study. Inclusion criteria include Patients with NSTEMI, admitted within 24 hours of symp- tom onset, 30-75 years of age and both males and females. Exclu- sion criteria are NSTEMI patients admitted after 24 hours of symp- tom onset, NSTEMI patients treated outside before admission in CCU, NSTEMI patients with CKD, Liver disease, Malignancy, My- eloproliferative disease, Past history of myocardial infarction, Past history of revascularization (Stenting, CABG), Cardiomyopathy, valvular heart disease, patients on Hydrochlorthiazide, those who refused to enroll in this study. Both quantitative and qualitative data were collected by using pre designed questionnaire. Informed written consent was taken from the patients and/or attendant after detailed explanation of the purpose of the study. Data were collect- ed by the investigator through face to face interview, ECG, physical examination, laboratory investigations and imaging. All patients were followed up hourly in CCU and 3 times in 24 hours (8.00am, 2.00pm and 8:00pm) in post-CCU up to discharge from hospital. During follow up, a 12 lead ECG was recorded daily till discharge. Development of new chest pain (post MI angina), any arrhythmia, heart failure, cardiogenic shock and in-hospital mortality were ob- served and recorded. All relevant data were recorded in a pre-de- signed questionnaire that were processed and analyzed manually and using SPSS (Statistical Package for Social Sciences) Version 22.0. All the patients were given an explanation on purpose and importance of the study along with the risks and benefits of the study. Written informed consent was taken from each participant with approval of the study protocol from the Institutional Ethical Committee before commencement of the study.

Results

Table 1. Distribution of the patients according to age

Age

Group A (n=50)

Group B (n=50)

Total (n=100)

p-value

31-40 years

3

10

17

 

41-50 years

4

19

23

 

51-60 years

18

15

33

*p<0.001

61-70 years

18

4

22

 

71-80 years

7

2

9

 

Mean

60.8 (SD 9.6)

49.9 (SD 10.4)

55.4 (SD 11.4)

†p<0.001

SD=standard deviation. *Chi-Square (χ2) test and †unpaired t-test were done to analyze the data.

Table 2. Distribution of the patients according to Sex

 

Study Group

 

Sex

Group A (n=50)

Group B (n=50)

Total (n=100)

p-value

Male

42

40

82

*p<0.001

Female

8

10

18

Total

50

50

100

*Chi-Square (χ2) test was done to measure the level of significance.

Table 3. Distribution of the patients by Diabetes Mellitus

 

Study Group

 

Diabetes mel- litus

Group A (n=50)

Group B (n=50)

Total (n=100)

p-value

Present

26

11

37

 

Absent Total

24

50

39

50

63

100

*p=0.002

*Chi-Square (χ2) test was done to analyze the data.

Table 4. Distribution of the patients by Smoking Status

Study Group

Smoking status

Group A (n=50)

Group B (n=50)

Total (n=100)

p-value

Smoker

35

33

68

 

Non-smoker Total

15

50

17

50

32

100

*p=0.668

*Chi-Square (χ2) test was done to analyze the data

Table 5. Distribution of the patients according to Blood Pressure

 

Study Group

 

Blood pressure

Group A (n=50)

Group B (n=50)

Total (n=100)

p value

Hypertensive

39

26

65

*p=0.039

Normotensive

11

24

35

Total

50

50

100

*Chi-Square (χ2) test was done to analyze the data

Table 6. Distribution of the patients according to Dyslipidaemia

 

Study Group

 

Dyslipidaemia

Group A (n=50)

Group B (n=50)

Total (n=100)

p-value

Present

24

6

30

*p<0.001

Absent

26

44

70

Total

50

50

100

*Chi-Square (χ2) test was done to analyze the data.

Table 7. Distribution of the patients according to family history of CAD

 

Study Group

 

Family History of CAD

Group A (n=50)

Group B (n=50)

Total (n=100)

p-value

Present Absent Total

10

30

50

13

19

50

65

35

100

*p=0.476

*Chi-Square (χ2) test was done to analyze the data.

Table 8. Distribution of the patients by Killip Class of Cardiac Failure

 

Study Group

 

Killip class

Group-A (n=50)

Group-B (n=50)

Total (n=100)

p-value

Killip class -I

23

31

54

 

Killip class -II

16

8

24

 

Killip class -III

6

9

15

*p=0.127

Killip class -IV

5

2

7

 

Total

50

50

100

 

*Fisher’s exact test was done to analyze the data.

Table 9. Distribution of the patients by In-hospital Mortality

 

Study Group

 

In-hospital mor- tality

Group-A (n=50)

Group-B (n=50)

Total (n=100)

p-value

Death

5

2

7

 

Survive Total

45

50

48

50

93

100

*p=0.436

*Fisher’s exact test was done to analyze the data.

Table 10. Distribution of the patients by In-hospital Complications

 

Study Group

 

In-hospital complications

Group A (n=50)

Group B (n=50)

p value

Acute left ventricular failure Post MI angina

Re-infarction Atrial Flutter Atrial Fibrillation Sinus Bradycardia Sinus Tachycardia Right Bundle block

Premature Atrial Contraction Ventricular tachycardia Ventricular fibrillation Cardiogenic shock

27

3

1

1

1

4

1

0

0

0

0

5

19

5

0

0

0

3

6

1

1

1

1

2

*p=0.108

†p=0.715

†p=1.000

†p=1.000

†p=1.000

†p=1.000

†p=0.112

†p=1.000

†p=1.000

†p=1.000

†p=1.000

†p=0.436

                                  *Chi-Square (χ2) test and †Fisher’s Exact test were done to analyze the data

Discussion

Clinical and epidemiological studies have proved that serum uric acid (SUA) is significantly correlated with cardiovascular disease. Increased SUA is significantly associated with the occurrence and mortality of coronary artery disease [13]. But few studies have in- vestigated serum uric acid levels in patients with acute myocardial infarction. Several theories have been discussed, such as high serum uric acid has an impact on increasing platelet reactivity, mediating inflammation, and stimulation of smooth muscle cell proliferation which probably worsened the acute thrombosis complication [14]. Previous trials suggest that uric acid might be an independent pre- dictor of major adverse cardiovascular events (MACE) in patients with coronary artery disease or only an indirect marker of adverse event due to the association between uric acid and other cardiovas- cular risk factors [15].

High SUA has been indicated as a risk factor for CAD and as an independent prognostic factor of poorer outcomes (occurrence of AMI, fatal AMI, sudden death, all-cause mortality) in patients with verified CAD13. Less is known about SUA as a potential prognos- tic/risk factor for outcomes in patients affected specifically by AMI. A retrospective analysis observed a univariate association between higher SUA on admission (within 48 hours since the symptom on set) and higher thirty-day mortality (fourth versus first quartile SUA values) in AMI patients. It is also reported that an indepen- dent association between higher SUA and poorer long-term sur- vival [16]. Having in mind, the potential ethnic/racial specificities and cultural differences (eg: diet, alcohol consumption), we aimed to investigate SUA levels determined on admission as a potential predictor of in-hospital outcome (mortality and complications). This cross-sectional observational study was conducted in the De- partment of Cardiology, MAG Osmani Medical College Hospital, Sylhet from July 2017 to June 2019 to see the in-hospital outcome of NSTEMI.

This study also showed that the mean age was 60.82 (SD 9.62) years in hyperuricemia group and was 49.90 (SD 10.40) years in nor- mal uric acid group. The mean age of the patients of hyperurice- mia was significantly higher than patients of normal uric acid level (p<0.001). Similar result was also observed in the study of Omid- var et al., (2012) [17].

This study showed that males were predominant in both groups (84.0% and 80.0% respectively). No significant difference of gender was seen between two groups (p=0.603). Male preponderance of NSTMI was reported in several other studies like Belle et al., (2017) [18].

This study showed that 37.0% of total NSTEMI patients were di- abetic with 52.0% of patients of hyperuricemia was diabetic and 22.0% of patients of normal uric acid level were diabetic. The pa- tients of hyperuricemia were more frequently diabetic than that of normal uric acid level (p=0.002). This finding was also supported by Safi et al., (2004) which showed that hyperuricemia was signifi- cantly associated with type 2 diabetes mellitus [19]. However, this finding was in contrast to other study by Das et al., (2015) in which there was no significant association between serum uric acid level and diabetic status [20].

This study revealed that 35 (70.0%) patients of group A were smok- er and 33 (66.0%) patients of group B were smoker; difference was not statistically significant (p=0.668). Zahid et al., (2015) in their study reported similar findings [21].

This study showed that 65.0% of total NSTEMI patients were hy- pertensive where as 78.0% patients of group A and 52.0% patients of group B were hypertensive separately. In this study, there was no significant association (p=0.241) between raised serum uric acid level on admission and hypertension in NSTEMI patients. This finding is different from that of other studies which showed that hypertensive patients had more hyperuricemia [22].

This study revealed that 30.0% of total NSTEMI had dyslipidae- mia with 48.0% patients had dyslipidaemia in group A and 12.0% patients had dyslipidaemia in group B. Patients of group A were more frequently dyslipidaemic than that of group B (p<0.001). In 2012, Omidvar found similar findings of 56.7% patients had dys- lipidemia in group A and 19.2% patients had dyslipidemia in group B (p=0.862) [17].

This study revealed that 23.0% of total NSTEMI patients had fam- ily history of CAD with 20.0% patients in group A and 26.0% pa- tients in group B. Patients of group A had more frequent family history of CAD than that of patients of group B (p=0.476). Belle et al., (2017) reported that 22.0% of total population of NSTEMI had family history of CAD [18]. Omidvar et al., (2012) found 26.7% patients were diabetic in group A and 28.3% patients were diabetic in group B (p=0.882) [17].

The present study showed that Killip class I was in 23 (46.0%), Kil- lip class II in 16 (32.0%), Killip class III in 6 (12.0%) and Killip class IV in 5 (10.0%) patients in group A; whereas Killip class I was in 31 (62.0%), Killip class II in 8 (16.0%), Killip class III in 9 (18.0%) and Killip class IV in 2 (4.0%) patients in group B. Killip class did not differ significantly between group A and group B (p=0.127). Biswas et al., (2016) found that Killip class-I was less frequent in hyperuricemia group compared to normal serum uric acid group; whereas Killip class-IV was more frequent in hyperuricemia group compared to normal serum uric acid group [23]. So, their study found that serum uric acid level is low among patients with lower Killip class and high among higher Killip class. Thus, raised serum uric acid level was associated with increased severity of heart fail-ure and reflected the prognosis in essence with a significant p value (<0.05). This study is discrepant regarding Killip class and raised serum uric acid from that of Biswas, et al.

This study demonstrated that in-hospital mortality was 7.0% of all NSTEMI with 10.0% patients in group A and 4.0% patients in group B. In-hospital mortality was higher in group A than that of group B but did not reach the level of significance (p>0.05). Hos- sain et al., (2016) reported in-hospital mortality of acute MI was 7.3% with 14.3% of patients with raised uric acid level and 3% of patients with normal uric acid level [12]. In-hospital mortality of acute MI was significantly higher in patients with raised uric acid level than normal uric acid level (p=0.020). Lazzeri et al., (2010) found that in-hospital mortality was higher in “high” SUA patients (9.0% vs. 2.5%), p<0.006 which is a bit differ from this study [24].

This study revealed that cardiogenic shock [5 (10.0%) versus 2 (4.0%), p=0.436]; acute left ventricular failure [27 (54.0%) ver- sus 19 (38.0%), p=0.108]; re-infarction [1 (2.0%) versus 0 (0.0%), p=1.000]; sinus tachycardia [1 (2.0%) versus 6 (12.0%), p=0.108]; sinus bradycardia [4 (8.0%) versus 3 (6.0%), p=1.000]; atrial flut- ter [1 (2.0%) versus 0 (0.0%), p=1.000]; atrial fibrillation [1 (2.0%) versus 0 (0.0%), p=1.000]; right bundle block [0 (0.0%) versus 1 (2.0%), p=1.000], ventricular tachycardia [0 (0.0%) versus 1 (2.0%), p=1.000]; ventricular fibrillation [0 (0.0%) versus 1 (2.0%), p=1.000] did not differ significantly between two groups. But none of the patients of both groups developed mechanical complication. In this regards Hossain et al., (2016) found that cardiogenic shock and acute left ventricular failure were significantly more frequent in hyperuricemia group compared to normal serum uric acid lev- el group (p=0.037 and p=0.004 respectively) whereas arrhythmia and heart block did not differ significantly between two groups (p=0.545 and p=0.629 respectively) [12]. The difference may be be- cause of inclusion of all acute Myocardial Infarction cases irrespec- tive of STEMI and NSTEMI in their study but in this study only NSTEMI were included. In-hospital outcome of NSTEMI patients is comparatively better than STEMI patients globally.

Conclusion

There is no significant difference between in-hospital outcome (mortality and complications) of NSTEMI patients with raised and normal serum uric acid level.

Limitations

This study was conducted in a single hospital where randomization was not done with minimal sample

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