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RiskFactorProfileofYoungAdultMyocardialInfarction(MI)Cases:
ACross-SectionalStudyatTertiaryCareCentreofGujarat,India
1 2 3
BharatkumarM.Gohel ,RajanUpadhyay ,RajeshChudasama
1 2 3
AssistantProfessor, ResidentDoctor, AssociateProfessor,DepartmentofPreventiveandSocialMedicine,
PDUGovt.MedicalCollege,Rajkot,Gujarat,India
Correspondence:Dr.BharatkumarM.Gohel,Email:drbmgohel@gmail.com
Introduction:
Indiahasobservedrapidtransitionfromburden
of communicable diseases to non-communicable
diseasesoverthepastcoupleofdecadesandIschemic
heart disease (IHD) is established as modern era's
epidemic.Globalandnationaldatapointedoutthatas
persituationin2014,IHDranked1stcausingdeaths
[1,2]
anddisabilities,bothgloballyandnationally. More
than half of the worldwide cardiovascular disease
risk burden is estimated to be borne by Indian
[3]
subcontinentby2020. Moreovermigrationstudies
showedthatIndiansare3-4 timeshigheratrisk of
Coronary artery disease (CAD) than White
Americans,6timeshigherthanChineseand20times
[4,5]
higherthanJapanese. NotonlythatbutIndiansare
[6]
also prone to CAD at much younger age. Studies
carried out in India, and other places suggest that
AsianingeneralandIndians in particularareatan
[7]
increasedriskofMIatyoungerage(<40years). The
Abstract:
Introduction:MyocardialInfarction(MI)isalifethreateningclinicalcondition.Itisamultifactorial
non-communicable disease involving interplay of many modifiable and non-modifiable risk factors.
Objective:Thestudywasconductedwithobjectivetostudysocio-demographicprofilesanddistributionof
riskfactorsamongyoungadultshavingMI.Method:AstudywasconductedattertiarycarecentreofRajkot,
Gujarat.Oneyeartimeframewasdecidedforthiscross-sectionalstudy.Allthepatientshavingage<45
yearsadmittedinIntensiveCareUnit(ICU)ofMedicinedepartmentwithfirstattackofMIwereinterviewed
andexaminedforvariousclinic-epidemiologicaldeterminantsofMI.Results:Total106youngMIcases
wereenrolled in thestudy.Relativefrequency showedmale preponderance (88.7%).Risk factors like
tobaccouses,sedentary life-styleandobesity wereidentifiedas risk factorsrelativelymore frequently
associatedwith youngMI cases.In contrastto oldMI cases, provenrisk factorslike hypertensionand
diabetesmellituswerefoundlessfrequentlyassociated.Aboutonethirdofthecaseswerelackingadequate
amountofprotectivefoods(greenleafyvegetablesandfruits)intheirdailydiet.Fourpatientswithoutany
riskfactorexceptmalegenderwerenoted.50%caseswerehavingthreeorlessnumberofriskfactors.
Conclusion:The findings suggest male preponderance,tobacco consumption, sedentary life-styleand
obesityasquitecommonriskfactorsofprematureCoronaryArteryDisease(CAD).
KeyWords:CoronaryArteryDisease,MyocardialInfarction,RiskFactors,YoungAge
OriginalArticle
proportionof CAD inyoung Indians isabout 12%-
[8,9]
16%.
Althoughtheroleofconventionalriskfactorsfor
coronaryarterydiseaseisprovenforallagegroups,
younger patients show different risk factor profile,
clinicalpresentationandprognosis.Managementof
youngpatientsisachallenging taskastheyarethe
main income producer of the family. Myocardial
infarctionatanearlyageisanimportantproblemfor
theconsultingphysicianaswellbecauseitishaving
devastating effect on quality of life and survival of
young adults. So, present study was conducted to
identifythe proportion of youngMI cases and risk
factorprofileofMIcaseshavingage<45years.
Method:
Thecross-sectionalstudydesignwasadoptedfor
presentstudy.Itwasconductedfrom1stApril2016
to 31st March 2017 at PDU Govt. Medical College
Hospital,Rajkot.Thehospitalisatertiarycarecentre
HealthlineJournalVolume11Issue1(January-June2020)
::43::
as having sedentary life style. Modified Prasad's
socioeconomic classification was used considering
AllIndiaConsumerPriceIndex(AICPI)ofApril,2017
[13]
ofRajkot. BodyMassIndex (BMI)was calculated
and classified using World Health Organization
[14]
(WHO)classification. Cut-offpointsforhighwaist
tohipratio(W:Hratio)wereadoptedfromtheWHO
guidelinestatingW:Hratio0.90 formale and
0.85forfemaleishavingsubstantiallyincreasedrisk
[15]
ofmetaboliccomplications. Dataentrywasdonein
MicrosoftOffice Excel 2007 and analysis wasdone
usingthesoftwarepackageEpiInfo(Version7.2.2.6)
[16]
fromCDC,Atlanta,U.S.A.
Results:
Total106youngMIpatientshavingfirstattackof
MIwereadmittedatPDUHospital,Rajkotduringone
yearperiod.It is 26.1%oftotal406casesadmitted
during this period. The youngest patient of MI in
presentstudywasof24yearsonly.Thestudyshowed
that6.6%amongyoungMIcaseswerebelowtheage
of30years.Steepriseobservedattheageof35years.
Therewasamalepreponderancewith88.7%males
and11.3%females.(Table1)
Present study revealed that most of the cases
were from urban area, joint family and literate.
Manuallabourerwasthe singlegrouphavingmore
thanhalfofcases.Morethanhalfofthe caseswere
fromuppermiddleanduppersocio-economicclass.
(Table2)
cateringentireSaurashtraregionofGujarat.Thereis
disparity in literature for the cut-off age of young
Myocardial Infarction (MI) case varying from <30
yearsto<55years.Cut-offpointof45yearsagewas
[10]
usedtodefineyoungMIpatient. Thestudysubject
enrolledinthestudywereselectedfromthepatient
admittedintheIntensiveCareUnit(ICU)ofMedicine
department having first attack of MI. Following an
attackofMI,person'shabitsandriskfactorsprofile
might be altered because of post-MI life-style
modifications. So, only the persons having first
knownMIincident wereenrolledinstudy.Patients
below 45 years of age who were conscious, co-
operative,wellorientedwereenrolledafterinformed
consent. Patientsseriously ill, unconscious ornon-
willingtoparticipatewereexcludedfromthestudy.
Forthisstudyapersonwasconsideredasacaseof
MI, if any two of the following three criteria were
satisfied:(1)ECGshowingSTsegmentelevation,(2)
risein CK-MB levels >25 IU/l or (3) symptoms of
ischemialasting for> 20 minutes(complain ofleft
sidedchestpainwhichwascompressiveinnature,ill
localized,radiatingtoupperextremity,mandibularor
epigastricregion;mayormaynotbeassociatedwith
nausea,vomiting,palpitation,excessivesweatingor
[11,12]
difficulty in breathing). Patients were admitted
and treated by the treating physician of Medicine
department,PDUHospital,Rajkot.Allinvestigations
weredoneonthebasisofphysician'sdescription.
Thestudywasapprovedbyinstitutional ethical
committee.Datacollectionwasdonebyaninterview
technique using preformed, pretested and semi-
structured questionnaire. Questionnaire included
information regarding socio-demographic profile,
riskfactorprofile,addictionhistory,dietprofileand
notes on examination measurements. Clustering of
riskfactorswasanalysedusingtenriskfactorsnamed
male sex, positive family history, hypertension,
di a b et e s, t o ba c c o c o n su m p ti o n , a l c oh o l
consumption, history of OC pills consumption,
sedentary life style, stress due to acute life event,
obesity and frequency of protective diet intake<5
days per week. Persons having continuous daily
physicalexerciseoflessthan30minutesadayfor5
days a week were considered physically active.
Personsnotfittinginthedefinitionwereconsidered
Table1:Ageandsexdistributionofyoung
myocardialinfarctioncases
Age
(inyears)
Male
(%)
Female
(%) Total(%)
2(1.9) 0(0.0) 2(1.9)
5(4.7) 0(0.0) 5(4.7)
13(12.3) 1(0.9) 14(13.2)
32(30.2) 6(5.7) 38(35.8)
42(39.6) 5(4.7) 47(44.3)
Total 94(88.7) 12(11.3) 106(100.0)
21-25
26-30
31-35
36-40
41-45
Goheletal, RiskFactorProfileofYoungAdult.....
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Variable Frequency(%)
Residence
Urban 79(74.5)
Rural 27(25.5)
Maritalstatus
Married 105(99.1)
Unmarried 1(0.9)
Literacystatus
Illiterate 15(14.2)
Literate 91(85.8)
Occupation
Service 34(32.1)
Manuallabour 56(52.8)
Household 12(11.3)
Agriculture 4(3.8)
Socio-economicclass
ClassI&II 58(54.7)
ClassIII 36(34.0)
ClassIV&V 12(11.3)
Typeoffamily
Nuclear 42(39.6)
Joint 64(60.4)
Table2:Socio-demographicproileofyoung
myocardialinfarctioncases
In present study it was found that all the
frequentlyrelatedriskfactorsofMIweremodifiable
riskfactorsexceptmalepreponderanceandpositive
family history of CAD among first order relatives.
Sedentary life-style (68.9%), tobacco consumption
(61.3%) and obesity (46.2%) ranked on first 3
positions while hypertension (4.7%) and diabetes
mellitus(4.7%)bothstoodasatthelowestrankas
relatedriskfactorsamongyoungMIcases.(Figure1)
Figure1:Comparisonofriskfactorspresentin
youngmyocardialinfarctionpatients
FamilyhistoryofCADwaspresentin26.4%cases
while tobacco consumption was present in 61.3%
cases. Consumption of leafy vegetables for <5
days/week (35.8%) were identified as other
frequentlyrelatedriskfactorsinyoungMIpatients.
(Table3)
One fifth (20.8%) cases were found having
clustering of one or two risk factors. Maximum
numbersofpatients(66%)werehavingclusteringof
threetofiveriskfactors.(Table4)
Discussion:
Coronary Artery Diseases (CAD) in India is not
only tolling country's economy by the mean of
lifelongmedicationsandincidentaladmissionsplus
interventions but also affecting physically and
mentallyproductiveagegrouphavingresponsiblyof
family and at workplace. Risk factors involved in
prematureMIaredifferentfromthatofoldMIcases
andsoarethepreventivemeasures.
Presentstudyreportedtwoyoungestcasesatthe
ageof24yearswithmeanage40.08years.Fewother
studiesalsoreportedMIcasesatyoungerageof22
[17,18]
years. OtherGujaratbasedstudiesreportedmean
[19,20]
ageofyoungMIcasesas 35years. Lowermean
ageinthesestudieswasbecauseoflowercut-offage
(<40years)indefiningyoungMIcase.Itisalsofound
inpresentstudythat19.8%caseswereasyoungas
below35yearsofage.
The study found male preponderance having
88.7%malecases.Male: Femaleratiowasfoundas
highas7.8:1inpresentstudy.Inpreviousstudiesthe
genderdistributionofyoungMIinmenreportedtobe
[17-19,21,22]
between72-99%.
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Table3:RiskfactorproileofyoungMIcases
Risk factor Frequency (%)
Family history of myocardial infarctionPresent
Hypertension Present
Diabetes Mellitus Present
Tobacco consumption Present
Alcohol consumption Present
History of oral contraceptive pills use Present*
Sedentary life-style Present
Green leafy vegetable consumption <5 days/week
28 (26.4)
5 (4.7)
5 (4.7)
65 (61.3)
9 (8.5)
7 (58.3)
73 (68.9)
38 (35.8)
Fruit consumption <5 days/week
Acute life event during last year Present
Type of personality Type A
Body Mass Index (BMI) BMI25 kg/m2
Waist : Hip(W:H) ratio 0.90 for male
and 0.85 for female
9 (8.5)
21 (19.8)
33 (31.1)
19 (17.9)
49 (46.2)
*onlyfemalecasesconsideredindenominator(n=12)
Table4:Clusteringofdifferentriskfactorsamong
youngmyocardialinfarctioncases
Numberof
riskfactors
Frequency
(%)
Cumulative
frequency(%)
14(3.8) 4(3.8)
218(17.0) 22(20.8)
330 (28.3) 52(49.1)
423(21.7) 75(70.8)
517(16.0) 92(86.8)
611(10.4) 103(97.2)
71(0.9) 104(98.1)
82(1.9) 106(100.0)
Fre q ue n cy d is t ri b ut i on re ve a le d th a t
demographically more number of cases was noted
from urban area (74.5%), literates (85.8%), upper
socio-economic class (54.7%) and joint family
(60.4%). North India based study at tertiary care
centre reported 71% cases from rural area. It was
because the hospital was rural area based tertiary
[21]
carecentre. Italsonoticedthat105(99.1%)cases
weremarried personsandthe findingisconsistent
with our study. Our study reported 52.8% manual
labourer cases which were higher than 34% cases
reported in North India based study. The probable
reasonisusingdifferentclassificationofoccupational
[21]
divisionsbythestudy.
Familyhistoryof CADamongfirstdegreeblood
relatives was present in about one fourth (26.4%)
patients.OtherGujaratbasedstudiesfromBhavnagar
andAhmedabadreportedpositivefamilyhistory of
Goheletal, RiskFactorProfileofYoungAdult.....
::46::
[19,20]
CADin13% and 19%casesrespectively. Lower
numberofpositivefamilyhistoryinBhavnagarbased
studywouldbebecauseoflimitedsamplesizeof30
cases.
Tob acc o co ns u mp tio n is an i mp ort ant
independent risk factor for CAD in young adults.
Tobacco consumption was found to be as high as
61.3% among cases. Similar finding (58.7%) was
[23]
noted by Mukherjee et al. Narang et al. found
88.24% young MI cases having habit of tobacco
[21]
consumption. InsameNorthIndiabasedstudythey
found70.58%casestakingalcoholwhilealcoholuse
as we found in our study was only in 8.5% cases.
Status of Gujarat being dry state and alcohol
consumption banned by law could be reason for
same.
Amongfemalecasesoutoftotal12morethanhalf
(58.3%)gavethehistoryofOCpillsusage.OCpillsuse
isconsideredasoneamongtheriskfactorsmostof
thestudies doneon MIof allages. Buttwo studies
done on young MI cases showed none of the
[ 1 9 , 2 4 ]
participant was using OC pills. Socio-
demographicandculturalbackgroundcould bethe
possiblereasonbehindit.
High blood pressure and high blood sugars are
keydeterminants and provenrisk factors of MI. In
presentstudyoutof106casesonly5(4.7%)reported
hypertension and same number of patients were
foundtobediabetics.Similarfindingswerefoundin
Pakistanbasedstudyhaving6.6%hypertensiveand
[24]
3.3% diabetic cases in young MI. Gupta et al.
reported higher number of young MI cases having
[19]
hypertension(33%)and diabetes(37%). Gujarat
based study reported 16% hypertensive and 11%
[20]
diabetic. Narang et al. also reported 11.76%
hypertensive and 23.53% diabetic in their
[21]
study. Kolkata based study also reported 24%
[20]
diabeticand18%hypertensive.
Sedentary life style was found in 68.9% cases.
Considering active and productive younger
populationgroupthisfigureisquietsignificant.Other
studyalso supported thefinding having significant
[19]
number of cases with sedentary life style. With
higherW:Hratio46.2%casesfound obese.Obesity
among young MI using BMI criteria was as low as
17.9%only.Thisclearlyindicatescentralobesity is
moreimportantriskfactorthanhigherBMI.
Stressfullifecondition in termof occurrenceof
anyacutelifeeventinpastoneyearwaspresentin
19.8%cases. Naranget al.too intheir studyfound
insignificantnumberofcases(11.77%)havingroleof
[21]
stressasriskfactor.
InUKbasedprospectiveanalysisbyCroweetal.
showed that risk of MI is 32% less among
[25]
vegetarians. In present study we found that
inclusion of fruits and green leafy vegetables in
regulardietasprotectivefoodweremissingin8.5%
and35.8%casesrespectively.InSaurashtraregionas
a cultural practise vegetarian diet is predominant
one. The families having predominant non-
vegetariandietarelessin number. Sootherfactors
mightbeplayingroleasariskfactors.
Inourstudy4(3.8%)youngMIcaseswerehaving
onlyoneriskfactorandthatwasthemalegender.It
indicates occurrence of MI at younger age even
withoutanyestablishedknownriskfactors.Pakistan
basedstudyshowedonly1(0.01%)casehadsingle
[24]
riskfactor. wefound50%caseshavingclusteringof
more than 3 risk factors. Similar findings were
[26]
suggestedinstudybyAkhtaretal.
Conclusion:
Male gender, tobacco consumption, sedentary
life-style and obesity are the major risk factors
associatedwithCADinyoungerage.Patientsbelow
theageof30yearsarealsoreportedwhichindicates
needofattentionevenbeforetheageof30years.Very
fewpersonswerehavinghypertensionanddiabetes
atyoungeragewhichindicatesthelikelychancesof
missingattentiontootherriskfactorsandlifestyle
modifications.Exceptmalegenderandfamilyhistory
of MI all the frequently associated risk factors like
tobaccoconsumption,sedentarylifestyleandobesity
arewellmodifiableriskfactorsinthisparticularage
group.
Recommendations:
Screeningatyoungeragenotonlyforhighblood
pressure and high sugar level but also for early
warning sign and symptoms should be done. Non-
sedentary life style with obesity prevention and
HealthlineJournalVolume11Issue1(January-June2020)
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tobaccofreeyouthshouldbegivenmoreimportance
atyoungerageandmustbeaddressedasprimordial
andprimarypreventionagenda.
Limitations:
The study included only one tertiary care unit
whichcanposeaproblemofselectionbias.Thisstudy
isa descriptivestudy withfrequency analysisonly,
comparative studies can help more in determining
levelofsignificanceforanyparticularriskfactor.
Declaration:
Funding:Nil
ConflictofInterest:Nil
References:
1. WorldHealthOrganization.Globalhealthestimates:Deathsby
Cause, Age, Sex and Country, 2000-2012. Geneva; 2014.
A va i l a b l e a t : ht t p : / / w w w . w h o . i n t / h e a l t h i n f o /
global_burden_disease/estimates/en/index1.html.Accessed31
January2017.
2. Institute of Health Metrics and Evaluation. Available at:
http://www.healthdata.org/India.Accessed18January2016.
3. Yusuf S, Ounpuu S. Tackling the growing epidemic of
cardiovascular disease in South Asia. J Am CollCardiol.
2001;38(3):688-89.
4. EnasEA,GargA,DavidsonMAetal.Coronaryheartdiseaseand
itsriskfactorsinthefirstgenerationimmigrantAsianIndiansto
theUnitedStatesofAmerica.IndianHeartJ1996;48:343-54.
5. EnsaEA,SalimYusuf.Thirdmeetingoftheinternationalworking
grouponcoronaryarterydiseaseinSouthAsians.IndianHeartJ
1995;51:99-103.
6. JanusED,PostiglionA,SinghRBetal.ThemodernizationofAsia:
Implica tio ns for coronary heart disease . Ci rculation
1996;94:2671-3.
7. YusufS, Hawken S, Ounpuu S, Dans T, Avezum A, Lanas F, et
al.Effectof potentially modifiable risk factors associatedwith
myocardialinfarctionin52countries(theINTERHEARTstudy):
Case-controlstudy.Lancet2004;364:937-52.
8. NegusBH,WillardJE,GlamannDBetal.Coronaryanatomyand
prognosis of young, asymptomatic surviovors of myocardial
infarction.AmJMed1994;96:354-8.
9. MammiMV,PavithranK,AbduRahimanPetal.Acutemyocardial
infarction in North Kerala – A 20 year hospital based study.
IndianHeartJ1991;43:93-6.
10. OliveiraA,BarrosH, AzevedoAetal.Impactofrisk factors for
non-fatal acute myocardial infarction. Eur J Epidemiol
2009;24:425-32.
11. Cabaniss CD. Clinical Methods: The History, Physical and
Laboratory Examinations. 3rd ed. Butterworth Publishers;
2013.pp.161-3.
12. ThygesenK,AlpertJS,JaffeAS,SimoonsML,ChaitmanBR,White
HD, et al. Third universal definition of myocardial infarction.
Circulation 2012; 126: 2020-35. Available from: doi:
10.1161/CIR.0b013e31826e1058.[Lastaccessedon2018June
06].
13. KumarP.Socialclassification-needforconstantupdate.IndianJ
CommunityMed1993;18:2.
14. World Health Organization (WHO). Global database on body
m a s s I n d e x . W H O , 2 0 0 6 . A v a i l a b l e f r o m :
http://apps.who.int/bmi/index.jsp?introPage=intro_3.html.
Accessed01July2018.
15. Waist Circumference and Waist-Hip Ratio Report of a WHO
Expert Consultation Geneva, 8–11 December, 2008. Available
fro m: https://app s . w h o . i n t / i r i s/bitstream/handl e /
10665/44583/9789241501491_en g.pdf. Accessed 29 April
2019.
16. Center for Disease Control and Prevention. Epi Info version
7.2.2.6, 2018. Available from: https://www.cdc.gov/epiinfo/
index.html.Accessed29April2018.
17. RajeevBhardwaj,ArvindKandoria, Rajeshsharma.Myocardial
infarctionin youngadult-riskfactorsand pattern of coronary
arteryinvolvement.NigerMedJ2014Jan-Feb;55(1):44-47.
18. Tammiraju Iragavarapu, T Radhakrishna, K JagdishBabu, R
Sanghamitra.JPractCardiovasSci2019;5(1):18-25.
19. SaumyaGupta,KrishnaK.Lakhani,HiravaMunshi.Astudyofrisk
factors in young patients of acute coronary syndrome.
International Journal of Contemporary Medical Research.
2017;4(10):2144-2147.
20. Jayesh Prajapati, Hasit Joshi, Sibasis Sahoo, Kapil Virpariya,
Meena Parmar, Komal Shah. Age related differences of novel
atherosclerotic risk factors and angiographic profile among
Guajarati acute coronary syndrome patients. J CliDiagn Res.
2015Jun;9(6):OC05-OC09.
21. Monika Bhandari, Vikas Singh, DeepeshVenkatraman. Nig J
Cardiol2017;14(2):84-91.
22. UditNarang, Ankit Gupta, Sunita Gupta, Nitin Gupta, Sandeep
Joshi,SidharthSharma.InternationalJournalofContemporary
MedicalResearch.2018;5(6):F14-F21.
23. MukherjeeD,Hsu A, Moliterno DJ,Lincoff AM, Goormastic M,
TopolEJ.Riskfactorsforprematurecoronaryarterydiseaseand
determinants of adverse outcomes after revascularization in
patients40yearsold.AmJCardiol2003;92:1465-7.
24. Abdul Wajid Khan Faisal, Mohammad Ayub, Tariq Waseem,
RaoShahzad Abdul Tawwab Khan, Syed SibitulHasnain. Risk
factorsinyoungpatientsofacutemyocardialinfarction.JAyub
MedCollAbbottabad2011;23:12-14.
25. Francesca L Crowe, Ruth C Travis, Tomothy J Key. Risk of
hospitalization or death from ischemic heart disease among
Britishvegetariansandnonvegetarians:resultsfromtheEPIC-
Oxfordcohortstudy.AmJClinNutr2013Mar;97(3):597-603.
26. AkhtarJ,IslamN,KhanJ.Riskfactorsandoutcomeofischemic
heartdiseaseinyoungPakistaniadults.Specialist1993;9:123-6.
Goheletal, RiskFactorProfileofYoungAdult.....