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Factors Associated with the Prescribing of High-Intensity Statins

Abstract

In this study, we investigated the relationship between sociodemographic, clinical, anthropometric, and lifestyle characteristics and the type of statin prescribed for primary prevention of cardiovascular disease (CVD). We conducted an observational study in workers who began statin treatment. Statin therapy was categorized as "high-intensity" or "low-moderate-intensity". Workers were classified according to the alignment of their statin therapy with the recommended management practices. Logistic regression models were used to evaluate the association between the different variables studied and the probability of being prescribed high-intensity statins. The only variables associated with a higher probability of being treated with high-intensity statins were increased physical activity (>40 versus <20 METs (metabolic equivalent of task) h/wk; odds ratio (OR), 1.65; 95%CI, 1.08-2.50) and, in diabetics, higher low-density lipoprotein cholesterol (LDL-C) levels (>= 155 mg/dL versus <155 mg/dL; OR, 4.96; 95%CI, 1.29-19.10). The model that best predicted treatment intensity included LDL-C, diabetes, hypertension, smoking, and age (area under the Receiver Operating Characteristic curve (AUC), 0.620; 95%CI, 0.574-0.666). The prescribing and type of statin used in primary CVD prevention did not correspond with the indications in current guidelines. The probability of receiving high-intensity statins was higher in diabetics with high LDL-C levels and in more physically active individuals. These findings underscore the great variability and uncertainty in the prescribing of statins. Chaure-Pardos, Armando; Malo, Sara; Rabanaque, María José; Arribas, Federico; Moreno-Franco, María Belén; Aguilar-Palacio, Isabel

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Factors Associated with the Prescribing of High-Intensity Statins

Author: Chaure-Pardos, Armando; Malo, Sara; Rabanaque, María José; Moreno-Franco, María Belén; Aguilar-Palacio, Isabel; Arribas, Federico
Year: 2020
DOI: 10.3390/jcm9123850
Source: https://zaguan.unizar.es/record/99217/files/texto_completo.pdf
Jou nal o
Clinical Medicine
A icle
Fac o s Associa ed wi h he P esc ibing o
High-In ensi y S a ins
A mando Chau e-Pa dos 1,2,3, Sa a Malo 1,2,3,* , Ma ía JoséRabanaque 1,2,3 ,
Fede ico A ibas 1,2,3, Belén Mo eno-F anco 1,2 and Isabel Aguila -Palacio 1,2,3
1Depa men o P e en i e Medicine and Public Heal h, Uni e si y o Za agoza, 50009 Za agoza, Spain;
[email p o ec ed] (A.C.-P.); abanake@uniza .es (M.J.R.); [email p o ec ed] (F.A.);
[email p o ec ed].es (B.M.-F.); iaguila @uniza .es (I.A.-P.)
2Fundación Ins i u o de In es igación Sani a ia de A agón (IIS A agón), 50009 Za agoza, Spain
3GRISSA Resea ch G oup, 50009 Za agoza, Spain
*Co espondence: smalo@uniza .es; Tel.: +34-976-761-761
Recei ed: 19 Oc obe 2020; Accep ed: 25 No embe 2020; Published: 27 No embe 2020


Abs ac :
In his s udy, we in es iga ed he ela ionship be ween sociodemog aphic, clinical,
an h opome ic, and li es yle cha ac e is ics and he ype o s a in p esc ibed o p ima y p e en ion
o ca dio ascula disease (CVD). We conduc ed an obse a ional s udy in wo ke s who began
s a in ea men . S a in he apy was ca ego ized as “high-in ensi y” o “low–mode a e-in ensi y”.
Wo ke s we e classi ied acco ding o he alignmen o hei s a in he apy wi h he ecommended
managemen p ac ices. Logis ic eg ession models we e used o e alua e he associa ion be ween he
di e en a iables s udied and he p obabili y o being p esc ibed high-in ensi y s a ins. The only
a iables associa ed wi h a highe p obabili y o being ea ed wi h high-in ensi y s a ins we e
inc eased physical ac i i y (>40 e sus <20 METs (me abolic equi alen o ask) h/wk; odds a io
(OR), 1.65; 95%CI, 1.08–2.50) and, in diabe ics, highe low-densi y lipop o ein choles e ol (LDL-C)
le els (
≥
155 mg/dL e sus <155 mg/dL; OR, 4.96; 95%CI, 1.29–19.10). The model ha bes p edic ed
ea men in ensi y included LDL-C, diabe es, hype ension, smoking, and age (a ea unde he
Recei e Ope a ing Cha ac e is ic cu e (AUC), 0.620; 95%CI, 0.574–0.666). The p esc ibing and
ype o s a in used in p ima y CVD p e en ion did no co espond wi h he indica ions in cu en
guidelines. The p obabili y o ecei ing high-in ensi y s a ins was highe in diabe ics wi h high LDL-C
le els and in mo e physically ac i e indi iduals. These indings unde sco e he g ea a iabili y and
unce ain y in he p esc ibing o s a ins.
Keywo ds:
ca dio ascula diseases; p e en ion and con ol; heal hy li es yle; hyd oxyme hylglu a yl-
coa educ ase inhibi o s; p ac ice pa e ns; physicians’
1. In oduc ion
Clinical p ac ice guidelines o p e en ca dio ascula disease (CVD) a e based on isk assessmen ,
ecommenda ion o a heal hy li es yle, and, in some cases, pha macological ea men , including lipid-
lowe ing he apy [
1
,
2
]. Cu en Eu opean guidelines o CVD p e en ion conside s a ins as a
i s -line lipid-lowe ing op ion [
1
]. These d ugs ha e p o en e icacy in he p ima y p e en ion o
CVD, educing mo bidi y and mo ali y in indi iduals wi h mode a e and high isk [
3
]. Howe e ,
hei e ec i eness in low- isk indi iduals emains a opic o deba e [4,5].
Acco ding o hei abili y o lowe blood le els o low-densi y lipop o ein choles e ol (LDL-C),
s a ins a e ypically classi ied as low-, mode a e-, o high-in ensi y [
6
,
7
]. This classi ica ion depends on
he d ug and he dose used. Guidelines do no indica e he ype o s a in ha should be p esc ibed,
bu es ablish a ge LDL-C le els ha depend on he isk o CVD. Thus, when deciding he ype o
J. Clin. Med. 2020,9, 3850; doi:10.3390/jcm9123850 www.mdpi.com/jou nal/jcm
J. Clin. Med. 2020,9, 3850 2 o 12
s a in o be p esc ibed, he physician mus be awa e o he pa ien ’s CVD isk, as well as cu en and
a ge LDL-C le els.
Gi en hese a he nonspeci ic ecommenda ions, i is o in e es o know which ac o s (including
classical CVD isk ac o s, basal CVD isk, and li es yle- ela ed ac o s) a e conside ed mos impo an
in clinical p ac ice when p esc ibing s a ins. This knowledge can be use ul o guide p esc ip ion and
o adjus i o es ablished s anda ds. Some s udies ha e desc ibed he cha ac e is ics o s a in use s
wi hou s a i ying by s a in in ensi y [
8
,
9
]. O he s ha ha e collec ed in o ma ion om adminis a i e
da abases bene i om la ge sample sizes, bu end o include incomple e clinical da a and lack
in o ma ion on pa ien li es yles [
10
]. Finally, some au ho s ha e ocused hei analyses on indi iduals
al eady in ea men , neglec ing new use s and he e o e no conside ing he cha ac e is ics o he use
a he momen o he decision o ea [11].
The aim o he p esen s udy was o cha ac e ize he p o ile o new use s o s a ins o p ima y
CVD p e en ion in a coho o wo ke s, and o in es iga e he associa ion be ween hese cha ac e is ics
and he ype o s a in p esc ibed.
2. Expe imen al Sec ion
2.1. S udy Design and Pa icipan s
This s udy was based on he A agon Wo ke ’s Heal h S udy coho (AWHS). The AWHS is a
longi udinal p ospec i e coho s udy ha was designed o e alua e he e olu ion o adi ional and
eme gen CVD isk ac o s and hei associa ion wi h he p e alence and p og ession o subclinical
a he oscle osis in a popula ion o middle-aged ca plan wo ke s in Spain [
12
]. Rec ui men was
ca ied ou o he mos pa in 2009 and 2010, and con inues oday. F om his popula ion, a subg oup
o 2667 wo ke s who we e aged 40–55 yea s a baseline was selec ed. This subg oup comple ed
addi ional ques ionnai es abou ca dio ascula and li es yle ac o s, including die , physical ac i i y,
and sleep habi s. The wo ke s we e also in i ed o unde go a nonin asi e imaging examina ion o
subclinical a he oscle osis.
Fo he p esen s udy, we selec ed om he a o emen ioned subg oup wo ke s who began s a in
he apy o p ima y p e en ion o CVD be ween 1 July 2010 and 31 Decembe 2018. New use s
we e de ined as hose who did no ecei e a p esc ip ion o s a ins du ing he p eceding 6 mon hs.
Wo ke s in ea men o p ima y p e en ion o CVD we e hose wi h no eco ded hospi al admission
o CVD in he hospi aliza ion da abase o he A agon Heal h Sys em p eceding hei i s s a in
p esc ip ion. Pa ien s wi h CVD we e de ined as hose wi h a main diagnosis co esponding o any o
he ollowing In e na ional Classi ica ion o Diseases 10 h e ision (ICD-10) codes: G45, G46, G81–G83,
I20–I28, I46, I49.0, I50, and I60–I79.
2.2. Da a Sou ces and Va iables
In o ma ion on s a in ea men was ob ained om he Fa masalud da abase, which collec s
in o ma ion on d ugs dispensed by pha macies and unded by he A agon Heal h Sys em.
D ugs we e classi ied acco ding o he 2019 ATC/DDD (Ana omical The apeu ic Chemical Classi ica ion
Sys em/De ined Daily Dose) sys em, de ined by he Wo ld Heal h O ganiza ion. We iden i ied wo ke s
wi h a leas one p esc ip ion du ing he s udy pe iod o a d ug co esponding o he ollowing ATC
codes: C10AA (hyd oxyme hylglu a yl-CoA (HMG CoA) educ ase inhibi o s), C10BA (HMG CoA
educ ase inhibi o s in combina ion wi h o he lipid-modi ying agen s), C10BX (HMG CoA educ ase
inhibi o s, o he combina ions).
In o ma ion on o he CVD ea men s was also collec ed. Agen s co esponding o he ollowing ATC
codes we e classi ied as an ihype ensi es: C02 (an ihype ensi es), C03 (diu e ics), C07 (be a-blocking
agen s), C08 (calcium channel blocke s), and C09 (agen s ac ing on he enin–angio ensin sys em).
P esc ip ions o he ea men o diabe es we e de ined as hose co esponding o ATC code A10 (d ugs
used in diabe es). The ollowing c i e ion was applied o de ine indi iduals ecei ing co- ea men s:
J. Clin. Med. 2020,9, 3850 3 o 12
he exis ence o a leas one d ug p esc ip ion co esponding o he a o emen ioned codes du ing he
yea p eceding he i s s a in p esc ip ion. Gi en ha diu e ics and be a-blocking agen s a e d ugs also
p esc ibed o o he indica ions, p esc ibing o hese d ugs was only conside ed co- ea men i he pa ien
ecei ed a leas h ee dis inc p esc ip ions wi hin he same yea . We conside ed ha his equency was
indica i e o egula use. E en so, o assess he possible bias o his assump ion, we pe o med sensi i i y
analyses: (i) conside ing hem as co- ea men i he pa ien ecei ed a leas one p esc ip ion in he same
yea ; (ii) no conside ing hem as co- ea men a all.
In addi ion o in o ma ion on o he CVD p e en i e ea men s, o all pa icipan s in he
p esen s udy, we ex ac ed in o ma ion on wo king cha ac e is ics, clinical and an h opome ic
measu emen s, smoking s a us, and diagnoses o o he diseases ha may modi y CVD isk. Fo hese
pa ame e s, we selec ed o each wo ke da a collec ed as close as possible be o e he da e o he i s
s a in p esc ip ion.
Da a pe aining o each indi idual wo k si ua ion included he numbe o yea s wo king in he
ac o y, wo k ype, and wo k shi . Wo k ype was classi ied as manual o seden a y. Wo k shi s in
he plan we e classi ied as o a ing mo ning/a e noon shi , o a ing mo ning/a e noon/nigh shi ,
cen al shi , and nigh shi .
Fo clinicalandan h opome iccha ac e iza ion, weex ac ed he ollowingda a, whichwe e eco ded
in annual medical exams as desc ibed in Casasno as e al. [
12
]: heigh , weigh , se um c ea inine, o al and
high-densi y lipop o ein (HDL)-choles e ol, iglyce ides, se um glucose, whole blood glycosyla ed
hemoglobin (HbA1c), and blood p essu e. Annual da a on smoking s a us we e also ex ac ed.
Diseases conside ed o modi y he isk o CVD we e heuma oid a h i is (RA), a hy hmias,
and ansien ischemic acciden . Diagnoses co esponding o hese diseases (In e na ional Classi ica ion
o P ima y Ca e codes L88, K80, and K89, espec i ely) we e ex ac ed om he A agon p ima y
ca e da abase.
Li es yle o he s udy pa icipan s was cha ac e ized based on alcohol in ake, adhe ence o a
Medi e anean die , physical ac i i y, sleep, and seden a y ime. A semiquan i a i e ood- equency
ques ionnai e p e iously alida ed in Spain [
13
] was used o assess die a y habi s. Leisu e ime physical
ac i i y was assessed wi h he alida ed Spanish e sion [
14
] o he physical ac i i y ques ionnai e
used in he Nu ses’ Heal h S udy and Heal h P o essionals’ Follow-up S udy. To es ima e seden a y
ime, we included he numbe o hou s ( om “ne e ” o “9 o mo e han 9 h a day”) spen si ing,
as epo ed by he pa icipan , du ing bo h wo king and leisu e ime in a ypical weekday. The same
p ocedu e was ollowed o collec in o ma ion on he numbe o hou s spen sleeping pe nigh .
The p esence o subclinical a he oscle osis in bo h ca o id and emo al a e ies was de e mined by
ul asound, acco ding o he p ocedu es desc ibed in Laclaus a e al. [
15
]. Plaque was de ined as a ocal
s uc u e p o uding
≥
0.5 mm in o he lumen o eaching a hickness
≥
50% o he su ounding in ima.
2.3. Analyses
S a in he apy was ca ego ized as “high-in ensi y” (a o as a in o osu as a in) o “low–mode a e-
in ensi y” (sim as a in, lo as a in, p a as a in, lu as a in, o pi a as a in) [7].
Clinical and an h opome ic a iables we e de ined as ollows. Glome ula il a ion a e
(eGFR) was es ima ed using he modi ica ion o die in enal disease (MDRD) o mula [
16
], and an
eGFR <60 mL/min/1.73 m2
was conside ed indica i e o ch onic kidney disease [
17
]. Low-densi y
lipop o ein choles e ol (LDL-c) was es ima ed using F iedewald’s es ima ion [
18
]. Applying he isk
ac o de ini ions p oposed by he 2016 Eu opean guidelines on CVD p e en ion in clinical p ac ice [
1
],
we de ined a wo ke as diabe ic i he was ea ed wi h an idiabe ics, had a HbA1c
≥
6.5%, o had as ing
plasma glucose
≥
126 mg/dL. C i e ia o hype ension we e sys olic blood p essu e
≥
140 mmHg,
dias olic blood p essu e
≥
90 mmHg, o exis ence o a p esc ip ion o an ihype ensi e ea men .
To assess adhe ence o a Medi e anean die , we used he Al e na e Medi e anean Die a y Index
(aMED) [
19
]. To de e mine he o al physical ac i i y pe o med by each wo ke , METs (me abolic
equi alen o ask) we e assigned o each ac i i y [
20
] and mul iplied by he numbe o hou s pe
J. Clin. Med. 2020,9, 3850 4 o 12
week ha he wo ke dedica ed o he ac i i y. The o al amoun o MET-h/week was calcula ed as he
sum o he MET-h o he di e en ac i i ies. We used 5.5 h/day as a cu -o poin o seden a y ime,
ollowing p e ious indings o inc eased body mass index (BMI), wais ci cum e ence, and insulin
le els in his same coho [
21
]. Acco ding o sleeping ime, wo ke s we e di ided in o wo g oups:
<6 h/nigh
o
≥
6 h/nigh . This decision was based on he lowe limi in he Na ional Sleep Founda ion’s
ecommenda ions o adul s [22].
Finally, we calcula ed he 10 yea isk o a i s a al a he oscle o ic e en using he Sys emic
Co ona y Risk Es ima ion (SCORE) o low- isk coun ies [
23
]. Nex , pa icipan s we e classi ied
acco ding o Eu opean guidelines [
1
] as low, mode a e, high, o e y high isk by combining hei
SCORE and o he CVD isk ac o s including diabe es, ch onic kidney disease, and ex eme LDL-C o
blood p essu e alues.
Based on his isk classi ica ion and blood LDL-C le els, Eu opean guidelines ecommend
ce ain a ge LDL-C le els ha should be achie ed o educe CVD isk. Following hese guidelines,
we classi ied wo ke s acco ding o he ecommended managemen p ac ices as ollows: “s a ins no
indica ed” i , based on CVD isk and LDL-C le els, only li es yle ad ice is ecommended; “LDL-C
educ ion <50%” i d ug ea men is indica ed and LDL-C should be educed by less han 50% o
each he a ge LDL-C le els; “LDL-C educ ion
≥
50%” i d ug ea men is indica ed and LDL-C
should be educed by a leas 50% o each a ge le els.
All a iables we e desc ibed o he global popula ion and s a i ied acco ding o s a in in ensi y.
Fo each a iable, we pe o med s a is ical analyses o assess he di e ence be ween ea men in ensi y
g oups. The S uden ’s - es was used o quan i a i e a iables. The chi-squa ed es was used o
analyze ca ego ical a iables when he numbe o wo ke s exceeded 30. Low- equency a iables we e
analyzed using Fishe ’s exac es .
To e alua e he associa ion be ween he di e en ac o s s udied (sociodemog aphic, clinical,
and li es yle) and he p obabili y o being p esc ibed high-in ensi y e sus low–mode a e-in ensi y s a ins,
we used logis ic eg ession models, wi h s a in in ensi y as a dependen a iable. Fi s , we compu ed
unadjus ed models. Nex , we de eloped mul i a iable models ha included adi ional CVD isk ac o s
and a iables o which we ob ained a p- alue <0.1 in he unadjus ed analysis. We also included
in e ac ion e ms in he model. Fo inclusion in he models, con inuous a iables we e ca ego ized using
p e-es ablished cu -o poin s. Since we did no know how hese a iables would beha e in he model,
we es ablished as a e e ence he ca ego y ha allowed us o ind signi ican di e ences be ween g oups
o , ailing ha , he lowes ca ego y.
Finally, o assess he abili y o CVD isk ac o s o p edic he p esc ibing o high-in ensi y s a ins,
we de eloped logis ic eg ession models. Explana o y a iables we e inco po a ed sequen ially
acco ding o he magni ude o hei associa ion in he p e ious mul i a iable models. P edic i e powe
was e alua ed by calcula ing he a ea unde he ecei e ope a ing cha ac e is ic (ROC) cu e (AUC).
All analyses we e pe o med using STATA e sion 14 (S a aCo p, College S a ion, TX, USA).
2.4. E hical Issues
All subjec s ga e hei in o med consen o inclusion be o e hey pa icipa ed in he s udy.
The s udy was conduc ed in acco dance wi h he Decla a ion o Helsinki, and he p o ocol was
app o ed by he E hics Commi ee o A agon (P ojec iden i ica ion code PI17/00042).
3. Resul s
A o al o 683 wo ke s began ea men wi h s a ins du ing he ollow-up. Table 1shows hei
sociodemog aphic, clinical, and an h opome ic cha ac e is ics. The mean age o new s a in use s was
53 yea s, 5% we e women, and mos pe o med manual wo k wi h o a ing shi s. Mo e han hal
we e classi ied as ha ing hype ension, 81% we e o e weigh o obese, and 10% had diabe es. Table 2
shows li es yle and imaging cha ac e is ics. Mo e han a hi d o he new s a in use s smoked a he
ime o p esc ip ion, 15% consumed mo e han 40 g o alcohol pe day, and 36% had low adhe ence o
J. Clin. Med. 2020,9, 3850 5 o 12
a Medi e anean die . Mo e han hal sa o a leas 5.5 h a day, and 20% slep less han 6 h pe nigh .
Subclinical a he oscle osis was mo e equen in he emo al a e y han in he ca o id a e y.
Table 1.
Sociodemog aphic, clinical, and an h opome ic cha ac e is ics o wo ke s acco ding o he
in ensi y o s a in p esc ibed.
S a in In ensi y
All (N =683) Low–Mode a e-In ensi y
(N =360)
High-In ensi y
(N =323) p
Sociodemog aphic
Mean (SD) age, y 53.0 (4.0) 52.8 (4.3) 53.1 (3.7) 0.390
Women, N (%) 31 (4.5) 18 (5.0) 13 (4.0) 0.585
Mean (SD) no. o yea s in ac o y 28.4 (4.5) 28.4 (4.9) 28.4 (4.1) 0.963
Wo k shi , N (%) 0.137
Ro a ing 522 (76.5) 283 (78.8) 239 (74.0)
Fixed 160 (23.4) 76 (21.2) 84 (26.0)
Wo k ype, N (%) 0.117
Assembly line/manual 590 (86.4) 318 (88.3) 272 (84.2)
Seden a y 93 (13.6) 42 (11.7) 51 (15.8)
Clinical and an h opome ic
BMI (kg/m2), N (%) 0.600
<25 127 (18.6) 67 (18.6) 60 (18.6)
25–30 392 (57.4) 212 (58.9) 180 (55.7)
≥30 164 (24.0) 81 (22.5) 83 (25.7)
EGFR <60 mL/min/1.73 m2, N (%) 8 (1.2) 6 (1.7) 2 (0.6) 0.292
To al choles e ol (mg/dL), mean (SD) 246.9 (37.5) 244.8 (35.0) 249.2 (40.0) 0.124
LDL-choles e ol (mg/dL), mean (SD) 159.0 (33.2) 157.7 (30.5) 160.6 (36.0) 0.258
HDL-choles e ol (mg/dL), mean (SD) 52.2 (11.5) 52.2 (11.4) 52.2 (11.6) 0.972
T iglyce ides (mg/dL), mean (SD) 187.8 (139.7) 185.1 (148.5) 190.7 (129.4) 0.601
Diabe es, N (%) 69 (10.1) 33 (9.2) 36 (11.2) 0.392
Hype ension, N (%) 354 (51.8) 175 (48.6) 179 (55.4) 0.075
Rheuma oid a h i is, N (%) 12 (1.8) 5 (1.4) 7 (2.2) 0.563
P e ious TIA, N (%) 3 (0.4) 2 (0.6) 1 (0.3) 1.000
A hy hmia, N (%) 15 (2.2) 7 (1.9) 8 (2.5) 0.795
Abb e ia ions: BMI, body mass index; EGFR, es ima ed glome ula il a ion a e; HDL, high-densi y lipop o ein;
LDL, low-densi y lipop o ein; N, numbe ; SD, s anda d de ia ion; TIA, ansien ischemic a ack. p- alues
co espond o - es /chi-squa ed es o Fishe ’s exac es .
Table 2. Li es yle cha ac e is ics and subclinical a he oscle osis among wo ke s, s a i ied by s a in in ensi y.
S a in In ensi y
All (N =683) Low–Mode a e-In ensi y
(N =360)
High-In ensi y
(N =323) p
Li es yle
Smoking, N (%) 0.678
Ne e 131 (19.2) 73 (20.3) 58 (18.0)
Cu en 249 (36.5) 127 (35.3) 122 (37.8)
Fo me 302 (44.3) 160 (44.4) 142 (44.0)

J. Clin. Med. 2020,9, 3850 6 o 12
Table 2. Con .
S a in In ensi y
All (N =683) Low–Mode a e-In ensi y
(N =360)
High-In ensi y
(N =323) p
Alcohol in ake, N (%) 0.685
Low isk (<40 g/d) 581 (85.1) 306 (85.0) 275 (85.1)
Medium isk (40–60 g/d) 64 (9.4) 36 (10.0) 28 (8.7)
High isk (>60 g/d) 38 (5.6) 18 (5.0) 20 (6.2)
Medi e anean die adhe ence, N (%) 0.379
Low 244 (35.7) 131 (36.4) 113 (35.0)
Medium 372 (54.5) 189 (52.5) 183 (56.7)
High 67 (9.8) 40 (11.1) 27 (8.4)
METs h/wk, mean (SD) 31.0 (21.2) 29.6 (20.4) 32.6 (22.0) 0.065
Si ing 5.5 h/day o mo e, N (%) 361 (53.1) 189 (52.5) 172 (53.8) 0.744
Sleep <6h/nigh , N (%) 136 (20.0) 64 (17.8) 72 (22.4) 0.130
Ca o id a he oscle osis, N (%) 273 (44.0) 130 (40.1) 143 (48.3) 0.040
Femo al a he oscle osis, N (%) 404 (65.6) 204 (61.1) 200 (70.9) 0.010
Abb e ia ions: METs h/wk, Me abolic equi alen s o ask hou s pe week; N, numbe ; SD, s anda d de ia ion.
p- alues co espond o - es /chi-squa ed es . Medi e anean die adhe ence: Al e na e Medi e anean Die a y
Index (aMED) sco e. Low: 0–3 sco e in aMed Index. Medium: 4–6 sco e in aMed Index. High: 7–9 sco e in aMed
Index. S a is ically signi ican di e ences (p<0.05) a e shown in bold.
High-in ensi y s a ins we e p esc ibed o 323 (47%) o he new s a in use s. Wo ke s p esc ibed
low–mode a e-in ensi y and high-in ensi y s a ins had simila cha ac e is ics. Mean choles e ol and
LDL-C le els we e highe in wo ke s p esc ibed high-in ensi y s a ins, al hough hese di e ences did
no each s a is ical signi icance. Subclinical a he oscle osis was mo e equen in wo ke s p esc ibed
high-in ensi y s a ins.
Figu e 1shows he dis ibu ion o wo ke s acco ding o hei CVD isk, managemen
(as ecommended by Eu opean guidelines), and s a in ea men in ensi y. The la ges g oup is
ha o wo ke s wi h a mode a e isk o CVD o whom pha macological ea men is ecommended
o educe LDL-C by less han 50%. In his g oup o 413 wo ke s, 220 (53%) we e p esc ibed
low–mode a e-in ensi y s a ins. The second-la ges g oup is ha o wo ke s wi h a high isk o CVD
o whom pha macological ea men is ecommended o educe LDL-C by mo e han 50%. In his
g oup o 94 wo ke s, 42 (45%) we e p esc ibed low–mode a e-in ensi y s a ins. A o al o 108 wo ke s
wi h low o mode a e isk did no mee he c i e ia o pha macological ea men . O hese, 45 (42%)
we e p esc ibed high-in ensi y s a ins.
Table 3shows he esul s o unadjus ed and mul i a iable logis ic models o e alua e he associa ion
be ween ca dio ascula isk ac o s and he p esc ibing o high- e sus low–mode a e-in ensi y s a ins.
Gi en ha we obse ed an in e ac ion be ween LDL-C le els and diabe es in he con ex o p esc ibing o
high-in ensi y s a ins, his in e ac ion e m was included in he models. Highe le els o physical ac i i y
(>40 e sus <20 METs h/wk; OR, 1.65; 95%CI, 1.08–2.50) and, in diabe ics, LDL-C le els
≥155 mg/dL
e sus <155 mg/dL (OR, 4.96; 95%CI, 1.29–19.10) we e associa ed wi h a highe p obabili y o
high-in ensi y s a in p esc ibing. In non-diabe ics, we obse ed no associa ion be ween he p esc ibing
o high-in ensi y s a ins and LDL-C le els. Simila ly, he e was no associa ion de ec ed be ween
he p esc ibing o high-in ensi y s a ins and age, smoking s a us, o he p esence o hype ension
o diabe es.
J. Clin. Med. 2020,9, 3850 7 o 12
J. Clin. Med. 2020, 9, x FOR PEER REVIEW 7 o 13
Figu e 1. Numbe o wo ke s p esc ibed low–mode a e- o high-in ensi y s a ins, s a i ied by
ca dio ascula disease (CVD) isk and ecommended managemen . CVD isk: classi ica ion o
ca dio ascula isk acco ding o cu en Eu opean guidelines on CVD p e en ion, based on he
combina ion o SCORE alue and he p esence o o he CVD isk ac o s. Recommended
managemen : ecommended pa ien managemen acco ding o cu en Eu opean guidelines on CVD
p e en ion, based on CVD isk, cu en LDL-choles e ol (LDL-C) le els, and a ge LDL-C le els. NI:
d ug ea men “no indica ed”, only li es yle ad ice ecommended. <50%: d ug ea men indica ed
o educe LDL-C by <50% o each a ge LDL-C le els. ≥50%: d ug ea men indica ed o educe
LDL-C by ≥50% o each a ge LDL-C le els.
Table 3 shows he esul s o unadjus ed and mul i a iable logis ic models o e alua e he
associa ion be ween ca dio ascula isk ac o s and he p esc ibing o high- e sus low–mode a e-
in ensi y s a ins. Gi en ha we obse ed an in e ac ion be ween LDL-C le els and diabe es in he
con ex o p esc ibing o high-in ensi y s a ins, his in e ac ion e m was included in he models.
Highe le els o physical ac i i y (>40 e sus <20 METs h/wk; OR, 1.65; 95%CI, 1.08–2.50) and, in
diabe ics, LDL-C le els ≥ 155 mg/dL e sus < 155 mg/dL (OR, 4.96; 95%CI, 1.29–19.10) we e associa ed
wi h a highe p obabili y o high-in ensi y s a in p esc ibing. In non-diabe ics, we obse ed no
associa ion be ween he p esc ibing o high-in ensi y s a ins and LDL-C le els. Simila ly, he e was
no associa ion de ec ed be ween he p esc ibing o high-in ensi y s a ins and age, smoking s a us, o
he p esence o hype ension o diabe es.
Figu e 1.
Numbe o wo ke s p esc ibed low–mode a e- o high-in ensi y s a ins, s a i ied by ca dio ascula
disease (CVD) isk and ecommended managemen . CVD isk: classi ica ion o ca dio ascula isk acco ding
o cu en Eu opean guidelines on CVD p e en ion, based on he combina ion o SCORE alue and he
p esence o o he CVD isk ac o s. Recommended managemen : ecommended pa ien managemen
acco ding o cu en Eu opean guidelines on CVD p e en ion, based on CVD isk, cu en LDL-choles e ol
(LDL-C) le els, and a ge LDL-C le els. NI: d ug ea men “no indica ed”, only li es yle ad ice
ecommended. <50%: d ug ea men indica ed o educe LDL-C by <50% o each a ge LDL-C
le els. ≥50%: d ug ea men indica ed o educe LDL-C by ≥50% o each a ge LDL-C le els.
Table 3.
Associa ion be ween sociodemog aphic, analy ical, clinical, and li es yle ac o s and he
p esc ibing o a high-in ensi y s a in in he s udy popula ion: logis ic eg ession analyses (N =569).
Unadjus ed Model Mul i a iable Model
OR (95%CI) OR (95%CI)
Age (yea s)
<50 0.90 (0.58–1.39) 1.03 (0.65–1.62)
50–55 1.00 1.00
55–60 0.88 (0.60–1.29) 0.90 (0.60–1.34)
>60 0.72 (0.25–2.09) 0.63 (0.21–1.90)
LDL-choles e ol (mg/dL)
Non-diabe ics
<155 1.00 1.00
≥155 1.04 (0.73–1.49) 1.03 (0.72–1.49)
Diabe ics
<155 1.00 1.00
≥155 4.50 (1.19–16.99) 4.96 (1.29–19.10)
Hype ension
No 1.00 1.00
Yes 1.25 (0.90–1.74) 1.26 (0.89–1.79)
Diabe es
No 1.00 1.00
Yes 1.42 (0.78–2.56) 1.45 (0.78–2.69)
J. Clin. Med. 2020,9, 3850 8 o 12
Table 3. Con .
Unadjus ed Model Mul i a iable Model
OR (95%CI) OR (95%CI)
Smoking
Ne e 1.00 1.00
Cu en 1.41 (0.88–2.25) 1.24 (0.74–2.06)
Fo me 1.20 (0.76–1.90) 1.13 (0.70–1.83)
METs h/wk
<20 1.00 1.00
20–40 0.90 (0.60–1.35) 0.93 (0.62–1.41)
>40 1.55 (1.03–2.32) 1.65 (1.08–2.50)
Ca o id a he oscle osis
No 1.00 1.00
Yes 1.33 (0.96–1.86) 1.21 (0.85–1.71)
Femo al a he oscle osis
No 1.00 1.00
Yes 1.53 (1.08–2.17) 1.45 (0.98–2.13)
Unadjus ed Model: logis ic eg ession model conside ing high-in ensi y s a in as ou come
and each indi idual a iable as exposu e. Adjus ed Model: logis ic eg ession model
adjus ed o age, smoking habi , LDL-choles e ol, diabe es, hype ension, METs h/wk,
and a he oscle osis. Abb e ia ions: OR, odds a io; 95%CI, 95% con idence in e al;
LDL-choles e ol, low-densi y lipop o ein choles e ol; METs h/wk, Me abolic equi alen s o
ask hou s pe week. S a is ically signi ican di e ences (p<0.05) a e shown in bold.
We conduc ed p edic i e models in o de o know which a iables p edic he p esc ibing o
high-in ensi y s a ins. The bes model ob ained included he a iables LDL-C, diabe es, hype ension,
smoking, and age (AUC, 0.620; 95%CI, 0.574–0.666). None heless, almos 40% o a iabili y emained
unexplained (Figu e 2).
J. Clin. Med. 2020, 9, x FOR PEER REVIEW 9 o 13
Figu e 2. P esc ibing o high-in ensi y s a ins: p edic i e capaci y o clinical and analy ical a iables.
Da a a e ep esen ed as he a ea unde he ecei e ope a ing cha ac e is ic (ROC) cu e and 95%
con idence in e als (e o ba s). Abb e ia ion: LDL-C, low-densi y lipop o ein choles e ol.
4. Discussion
The p esen s udy examines he sociodemog aphic, clinical, and li es yle ac o s ha de e mine
he ini ial p esc ibing o high-in ensi y s a ins in clinical p ac ice wi h he objec i e o achie ing he
LDL-C a ge le els ecommended in Eu opean guidelines on CVD p e en ion. Ou esul s indica e
ha while he choice o s a in ea men in ensi y is associa ed wi h ce ain CVD isk ac o s,
including LDL-C le els in diabe ics, in a la ge p opo ion o cases i appea s no o be based on he
clinical guidelines c i e ia.
Low–mode a e-in ensi y s a ins we e p esc ibed sligh ly mo e han high-in ensi y s a ins,
ega dless o basal CVD isk and he need o LDL-C educ ion o each he a ge le els
ecommended in cu en guidelines. Thus, se e al wo ke s who did no equi e a la ge dec ease in
LDL-C le els we e p esc ibed high-in ensi y s a ins, and some wo ke s who equi ed LDL-C
educ ions o o e 50% o each a ge le els began ea men wi h low–mode a e-in ensi y s a ins.
S ikingly, mo e han 10% o wo ke s included in ou s udy began ea men wi h s a ins (almos hal
wi h high-in ensi y s a ins) despi e he absence o any such indica ion in he Eu opean guidelines.
In ou s udy popula ion, he p obabili y o ecei ing high-in ensi y s a ins was highe in wo ke s
wi h diabe es and high LDL-C le els, in hose who pe o med mo e physical ac i i y, and in hose
wi h subclinical a he oscle osis in he emo al a e y. In ac , a g ea e p opo ion o wo ke s being
ea ed wi h high-in ensi y s a ins had ca o id and emo al a he oscle osis, al hough hese di e ences
we e no main ained a e adjus ing o o he con ounding a iables.
Macías Sain -Ge ons e al. [10] epo ed an associa ion be ween e y high LDL-C le els and he
p obabili y o p esc ibing high-in ensi y s a ins o p ima y CVD p e en ion. In ha s udy, which
included da a om almos 70,000 i s - ime use s be ween 2007 and 2011 in Spain, he au ho s also
de ec ed an associa ion be ween he p esc ibing o high-in ensi y s a ins and male sex, high BMI, and
smoking. Ou s udy he e o e suppo s a possible ole o LDL-C le els, among o he s, in he decision
o p esc ibe high-in ensi y s a ins. This makes sense since high-in ensi y s a ins educe LDL-C le els
o a g ea e ex en han he o he s. On he o he hand, diabe ic pa ien s ha e app oxima ely wice he
Figu e 2.
P esc ibing o high-in ensi y s a ins: p edic i e capaci y o clinical and analy ical a iables.
Da a a e ep esen ed as he a ea unde he ecei e ope a ing cha ac e is ic (ROC) cu e and 95%
con idence in e als (e o ba s). Abb e ia ion: LDL-C, low-densi y lipop o ein choles e ol.
J. Clin. Med. 2020,9, 3850 9 o 12
4. Discussion
The p esen s udy examines he sociodemog aphic, clinical, and li es yle ac o s ha de e mine he
ini ial p esc ibing o high-in ensi y s a ins in clinical p ac ice wi h he objec i e o achie ing he LDL-C
a ge le els ecommended in Eu opean guidelines on CVD p e en ion. Ou esul s indica e ha while
he choice o s a in ea men in ensi y is associa ed wi h ce ain CVD isk ac o s, including LDL-C le els
in diabe ics, in a la ge p opo ion o cases i appea s no o be based on he clinical guidelines c i e ia.
Low–mode a e-in ensi y s a ins we e p esc ibed sligh ly mo e han high-in ensi y s a ins,
ega dless o basal CVD isk and he need o LDL-C educ ion o each he a ge le els ecommended
in cu en guidelines. Thus, se e al wo ke s who did no equi e a la ge dec ease in LDL-C le els we e
p esc ibed high-in ensi y s a ins, and some wo ke s who equi ed LDL-C educ ions o o e 50% o
each a ge le els began ea men wi h low–mode a e-in ensi y s a ins. S ikingly, mo e han 10% o
wo ke s included in ou s udy began ea men wi h s a ins (almos hal wi h high-in ensi y s a ins)
despi e he absence o any such indica ion in he Eu opean guidelines.
In ou s udy popula ion, he p obabili y o ecei ing high-in ensi y s a ins was highe in wo ke s
wi h diabe es and high LDL-C le els, in hose who pe o med mo e physical ac i i y, and in hose wi h
subclinical a he oscle osis in he emo al a e y. In ac , a g ea e p opo ion o wo ke s being ea ed
wi h high-in ensi y s a ins had ca o id and emo al a he oscle osis, al hough hese di e ences we e no
main ained a e adjus ing o o he con ounding a iables.
Mac
í
as Sain -Ge ons e al. [
10
] epo ed an associa ion be ween e y high LDL-C le els and
he p obabili y o p esc ibing high-in ensi y s a ins o p ima y CVD p e en ion. In ha s udy,
which included da a om almos 70,000 i s - ime use s be ween 2007 and 2011 in Spain, he au ho s
also de ec ed an associa ion be ween he p esc ibing o high-in ensi y s a ins and male sex, high BMI,
and smoking. Ou s udy he e o e suppo s a possible ole o LDL-C le els, among o he s, in he
decision o p esc ibe high-in ensi y s a ins. This makes sense since high-in ensi y s a ins educe LDL-C
le els o a g ea e ex en han he o he s. On he o he hand, diabe ic pa ien s ha e app oxima ely
wice he isk o CVD han non-diabe ics [
24
]. In pa ien s wi h his combina ion o isk ac o s,
achie ing lowe LDL-C a ge le els is equi ed [
1
]. An a emp o compensa e hei excess o CVD isk
may be made by p esc ibing a high-in ensi y s a in. Thus, ou s udy esul s sugges ha p esc ibe s may
be guided by simple indica ions, such as ha he p esence o he combina ion o high
LDL-C +diabe es
,
which equi es a mo e in ense ea men .
In ou coho , high-in ensi y s a ins we e also mo e equen ly p esc ibed o wo ke s who
pe o med mo e physical ac i i y. Ho e al. [
11
], using da a om he Aus alian Diabe es, Obesi y and
Li es yle S udy, conduc ed a c oss-sec ional analysis o pa ien s aking s a ins and ound ha hose
who pe o med insu icien physical ac i i y we e mo e likely o be aking high-in ensi y s a ins.
Al hough ou esul s di e wi h hose o Ho e al., i should be no ed ha he la e s udy popula ion
consis ed o indi iduals subjec s who we e al eady aking s a ins, while ou s includes only wo ke s
who began his ea men du ing he s udy pe iod. The egula p ac ice o physical exe cise seems
o be ela ed o a g ea e conce n o heal h. In his sense, and gi en ha we measu ed he p ac ice
o physical exe cise be o e s a in p esc ip ion, we could hink ha people wi h a high CVD isk bu
in e es ed in hei heal h s a us could y o compensa e o his isk by ca ying ou mo e physical
exe cise. When his i s a emp ailed, hey would ecei e high-in ensi y s a in he apy. On he
con a y, when he le el o physical exe cise is measu ed in pa ien s who a e al eady aking s a ins,
he opposi e e ec could be obse ed, ha is, subjec s wi h a mo e in ensi e ea men would show a
elaxed a i ude owa ds physical exe cise as hey conside hemsel es p o ec ed by d ugs.
Finally, he ole o he known CVD isk ac o s in p edic ing he p esc ibing o high-in ensi y
s a ins was lowe han expec ed. This inding sugges s ha doc o s o en op o p esc ibe high-in ensi y
s a ins based on o he unknown c i e ia, pe haps in pa due o he lack o clea and di ec indica ions in
he Eu opean guidelines [
1
] on when o p esc ibe high-in ensi y s a ins, in con as o cu en Ame ican
College o Ca diology/Ame ican Hea Associa ion (ACC/AHA) guidelines [2]. Acco ding o cu en
Eu opean guidelines, in o de o choose he ype o s a in o be p esc ibed, he doc o mus know