Literature DB >> 35620322

Association between psoriasis and short-term outcomes of acute myocardial infarction: A matched-pair cohort study using a nationwide inpatient database in Japan.

Hideaki Miyachi1, Takaaki Konishi2, Daisuke Shigemi2, Hiroki Matsui2, Sayuri Shimizu3, Kiyohide Fushimi4, Hiroyuki Matsue1, Hideo Yasunaga2.   

Abstract

Background: Psoriasis is a known risk factor for acute myocardial infarction (AMI). However, the associations between psoriasis and short-term outcomes of AMI remain controversial. Objective: To compare the short-term outcomes of AMI patients with and without psoriasis accounting for patient background characteristics and site-specific effects.
Methods: We identified patients with AMI between July 2010 and March 2020, using a Japanese national inpatient database. We matched patients with and without psoriasis to generate a 1:10 matched-pair cohort matched for sex, hospital, and fiscal year at admission. Multivariable regression analyses with adjustment for background characteristics including age and Killip class at admission were conducted to compare short-term outcomes of AMI.
Results: In this study of AMI patients with psoriasis (n = 455) and without psoriasis (n = 438,534), 30-day in-hospital mortality was 5.6%. Patients with psoriasis had higher proportions of comorbidities than patients without psoriasis. Multivariable regression analyses in the matched-pair cohort revealed that psoriasis was significantly associated with decreased 30-day in-hospital mortality (odds ratio [OR], 0.26; 95% confidence interval [CI], 0.08-0.85). Limitations: Retrospective study design without data on psoriasis severity.
Conclusion: The matched-pair cohort analyses with adjustment for patient background characteristics and site-specific effects revealed decreased in-hospital mortality in AMI patients with psoriasis.
© 2022 by the American Academy of Dermatology, Inc. Published by Elsevier Inc.

Entities:  

Keywords:  AMI, acute myocardial infarction; CABG, coronary artery bypass graft; ICD-10, International Statistical Classification of Diseases, Tenth Revision; MI, myocardial infarction; OR, odds ratio; PCI, percutaneous coronary intervention; acute myocardial infarction; cardiovascular disease; epidemiology; matched-pair cohort; mortality; nationwide inpatient database; psoriasis

Year:  2022        PMID: 35620322      PMCID: PMC9127561          DOI: 10.1016/j.jdin.2022.04.007

Source DB:  PubMed          Journal:  JAAD Int        ISSN: 2666-3287


Psoriasis is a known risk factor for cardiovascular diseases including acute myocardial infarction. However, the association between psoriasis and short-term outcomes of AMI remains controversial. The matched-pair cohort analyses with adjustment for patient background characteristics and site-specific effects confirmed a significant association between psoriasis and favorable short-term outcomes of acute myocardial infarction.

Introduction

Psoriasis is a chronic inflammatory disease that involves multiple organ systems1, 2, 3 and has a prevalence of 0.34% to 11.43% in adults., Atherosclerotic disease is one of the important comorbidities of psoriasis, and psoriasis was identified as a risk factor for cardiovascular diseases including myocardial infarction (MI).6, 7, 8, 9 A single-center retrospective study in Japan found that psoriasis was significantly associated with MI (adjusted odds ratio [OR], 1.87; 95% confidence interval [CI], 1.26-2.68; P = .002). Although psoriasis is a known risk factor for MI, its associations with short-term outcomes of MI remain controversial. Several studies suggested that psoriasis was an independent risk factor for MI-related death.,, However, a recent study on MI in Germany found lower in-hospital mortality in patients with psoriasis compared with control patients (7.1% vs 12.4%). The authors noted that the relatively young age of their patients with psoriasis (68 vs 73 years) would have contributed to better outcomes. Nevertheless, even in their multivariate logistic regression models adjusted for age and age-related coronary risk factors, psoriasis was associated with low in-hospital mortality. Thus, the results could be attributed to site-specific effects (differences among institutions in treatment choices and consequent outcomes13, 14, 15) that were not adjusted in the study. Furthermore, the external validity requires assessment because the in-hospital mortality of 12.4% in their control group was considerably higher than the corresponding rates in other countries during the same period (7.8% in the United States in 2008 and 7.2% in Japan between 2010 and 2014) and the proportions of their patients who received interventional treatments (47.1% in 2005 and 64.7% in 2015) were lower than that in Japan. The associations of psoriasis with short-term outcomes of acute myocardial infarction (AMI) remain controversial. The present study aimed to compare the short-term outcomes in AMI patients with and without psoriasis using a nationwide inpatient database in Japan.

Methods

Data source

This nationwide retrospective cohort study was conducted using the Diagnosis Procedure Combination database, which contains hospital administrative claims data and discharge abstracts for ∼8,000,000 inpatients per year in more than 1200 hospitals throughout Japan, and covers approximately one-half of all inpatient admissions to acute-care hospitals. All 82 university hospitals in Japan are obliged to participate in the database, whereas participation by community hospitals is voluntary. The Institutional Review Board at The University of Tokyo approved the study. The requirement for informed consent was waived because of the anonymity of the patient database. The database includes the following patient data: age, sex, and body mass index at admission; smoking history (current and former smoking); main diagnoses, comorbidities at admission, and complications after admission recorded with Japanese text data and International Statistical Classification of Diseases, Tenth Revision (ICD-10) codes; Killip class at admission; emergency admission; ambulance use; unique hospital identifier; interventional/surgical procedures indexed by original Japanese codes; length of stay; discharge status; and hospitalization costs. Hospitalization costs were based on reference prices in the Japanese national fee schedule for item-by-item prices on surgical, pharmaceutical, laboratory, and other inpatient services. We defined the currency exchange rate as 110 Japanese yen per 1 US$. All discharge abstract data for patients were recorded at discharge by the attending physicians. Several validation studies have confirmed that the validity of the diagnostic and procedural records in the database is generally high.19, 20, 21

Study protocol

We identified hospitalized patients aged ≥20 years with a diagnosis of AMI (ICD-10 code: I21) who underwent diagnostic or therapeutic procedures for AMI from July 2010 to March 2020. We defined diagnostic procedures as coronary angiography and therapeutic procedures as coronary reperfusion therapy including percutaneous coronary intervention (PCI) and coronary artery bypass graft (CABG). We excluded patients who were discharged on the day of admission. The eligible patients were classified into 2 groups: patients with psoriasis (ICD-10 code: L40) (psoriasis group) and patients without psoriasis (control group). The primary outcome was 30-day in-hospital mortality, defined as all-cause in-hospital death within 30 days after admission. The secondary outcomes were 7-day in-hospital mortality, overall in-hospital mortality, in-hospital morbidity, 30-day readmission, length of stay, and total hospitalization costs. In-hospital morbidity was identified using ICD-10 codes (pulmonary embolism [I26], deep venous thrombosis [I80.2], stroke [I60-I64], acute renal failure [N17], respiratory complications [J12-J18, J69.0, J80, J95-J99], urinary tract infection [N10, N30, N390], and sepsis [A40, A41]).

Statistical analysis

We investigated the patient background characteristics, including, age, sex, body mass index, smoking history, comorbidities, Killip class at admission, and infarct site, as well as emergency admission, ambulance use, type of hospital, and hospital volume. Body mass index was categorized into 5 groups: <18.5 kg/m2 (underweight), 18.5 to 24.9 kg/m2 (normal weight), 25.0 to 29.9 kg/m2 (overweight), ≥30.0 kg/m2 (obese), and missing data. The Killip classification was used to categorize patients with AMI based on physical examination findings. The Killip classification was previously shown to predict short-term mortality in patients with AMI., Comorbidities were assessed by the Charlson Comorbidity Index and categorized into 3 groups: 0 to 1, 2, and ≥3. Hospital volume was defined as the number of patients with AMI admitted to each hospital and categorized into tertiles (low, medium, and high) with approximately equal numbers of patients in the groups. We investigated in-hospital treatments of AMI including coronary reperfusion therapy, mechanical support, and blood transfusion. Coronary reperfusion therapy included PCI and CABG. Mechanical support included intra-aortic balloon pumping, extracorporeal membrane oxygenation, temporary pacing, mechanical ventilation, intermittent hemodialysis, and continuous hemodiafiltration. As the main analyses, we performed 1:10 matched-pair cohort analyses to cancel out site-specific effects such as physician practice patterns and treatment outcomes. For each patient in the psoriasis group, we identified a set of control patients who had the same sex and were admitted to the same hospital in the same fiscal year. From the pooled population of control patients, we randomly selected 10 control patients for each patient in the psoriasis group, constituting a 1:10 matched-pair cohort. After generating the 1:10 matched-pair cohort, we performed the following univariable and multivariable regression analyses: logistic regression analyses for 30-day in-hospital mortality, 7-day in-hospital mortality, overall in-hospital mortality, in-hospital morbidity, and 30-day readmission; and linear regression analyses for the length of stay and total hospitalization costs. These regression analyses were fitted with generalized estimating equations to adjust for within-pair clustering. In the multivariable regression analyses, we adjusted for the aforementioned background characteristics except for variables used to generate the 1:10 matched-pair cohort (admitted hospital and fiscal year of admission). As sensitivity analyses, we performed univariable and multivariable regression analyses for the original cohort (ie, before 1:10 matching) with generalized estimating equations to adjust for within-hospital clustering. We also conducted univariable and multivariable logistic regression analyses for in-hospital treatments (coronary reperfusion therapy, mechanical support, and blood transfusion) in the 1:10 matched-pair cohort to observe differences in treatment patterns between the 2 groups. We used the χ2 test to compare categorical variables and the Wilcoxon rank sum test to compare continuous variables. We used a significance level of P < .05 for all statistical tests, and all reported P values were 2-sided. All statistical analyses were conducted using Stata/MP 17.0 (StataCorp).

Results

We identified 438,989 eligible AMI patients, comprising 455 patients in the psoriasis group and 438,534 patients in the control group (Fig 1). The matching process created a matched-pair cohort of 4914 patients, including the same 455 patients in the psoriasis group from the original cohort and 4459 patients in the matched control group (Table I).
Fig 1

Selection of the study patients. AMI, Acute myocardial infarction.

Table I

Demographic and clinical characteristics of all patients and the matched patients

All patients
1:10 matched patients
Psoriasis group
Control group
Psoriasis group
Control group
n = 455n = 438,534ASDn = 455n = 4459ASD
Age, y66 (57-74)70 (61-79)3.266 (57-74)70 (61-78)2.6
Female sex65 (14)111,789 (26)28.465 (14)601 (14)2.3
BMI, kg/m2
 <18.5 (underweight)19 (4.2)25,832 (5.9)7.819 (4.2)220 (4.9)3.6
 18.5-24.9 (normal weight)237 (52)242,981 (55)6.7237 (52)2407 (54)3.8
 25.0-29.9 (overweight)124 (27)111,452 (25)4.2124 (27)1140 (26)3.8
 ≥30 (obese)40 (8.8)24,720 (5.6)12.240 (8.8)280 (6.3)9.5
 Missing data35 (7.7)33,549 (7.7)0.235 (7.7)412 (9.2)5.6
Past/current smoker360 (79)258,566 (59)44.7360 (79)2891 (66)32.2
Comorbidities
 Hypertension319 (70)274,849 (63)15.8319 (70)2975 (67)7.3
 Diabetes mellitus153 (34)133,475 (30)6.8153 (34)1398 (31)4.9
 Dyslipidemia182 (40)149,455 (34)12.3182 (40)1652 (37)6.1
Charlson comorbidity index
 0-1134 (30)140,835 (32)5.8134 (30)1357 (30)2.1
 2189 (42)168,014 (38)6.6189 (42)1774 (40)3.6
 ≥3132 (29)129,685 (30)1.2132 (29)1328 (30)1.7
Killip class at admission
 I217 (48)195,555 (45)6.2217 (48)2019 (45)4.8
 II118 (26)103,745 (24)5.3118 (26)1055 (24)5.3
 III27 (5.9)32,785 (7.5)6.227 (5.9)307 (6.9)3.9
 IV42 (9.2)49,506 (11)6.842 (9.2)497 (11)6.3
 Missing data51 (11)56,943 (13)5.451 (11)581 (13)5.6
Infarct site
 Anterior wall184 (40)180,750 (41)1.6184 (40)1891 (42)4.0
 Inferior wall150 (33)143,561 (33)0.5150 (33)1414 (32)2.7
 Other wall68 (15)46,446 (11)13.168 (15)483 (11)12.3
 Site unspecified74 (16)85,942 (20)8.774 (16)870 (20)8.5
Emergency admission438 (96)410,963 (94)11.7438 (96)4143 (93)14.9
Ambulance use298 (66)277,387 (63)4.7298 (66)2759 (62)7.5
Teaching hospital423 (93)392,004 (89)12.6423 (93)4098 (92)4.0
Hospital volume, cases/year
 Low (<67)160 (35)145,614 (33)4.1160 (35)1517 (34)2.4
 Medium (67-118)147 (32)145,357 (33)1.8147 (32)1462 (33)1.0
 High (≥119)148 (33)147,563 (34)2.4148 (33)1480 (33)1.4

Data are presented as n (%) or median (interquartile range).

ASD, Absolute standardized difference; BMI, body mass index.

When generating the 1:10 matched-pair cohort, we identified a set of control patients who were of the same sex and were admitted to the same hospital in the same year as the case patients. After generating the matched-pair cohort, we conducted multivariable regression analyses with adjustment for the patient and hospital characteristics.

An ASD of ≤10% denotes a negligible difference between the 2 groups.

Selection of the study patients. AMI, Acute myocardial infarction. Demographic and clinical characteristics of all patients and the matched patients Data are presented as n (%) or median (interquartile range). ASD, Absolute standardized difference; BMI, body mass index. When generating the 1:10 matched-pair cohort, we identified a set of control patients who were of the same sex and were admitted to the same hospital in the same year as the case patients. After generating the matched-pair cohort, we conducted multivariable regression analyses with adjustment for the patient and hospital characteristics. An ASD of ≤10% denotes a negligible difference between the 2 groups. Among all patients, those in the psoriasis group were more likely to be men and to smoke than those in the control group. The psoriasis group had higher proportions of high body mass index, hypertension, and dyslipidemia than the control group. Charlson Comorbidity Index categories and Killip classes at admission were comparable between the 2 groups. There were differences in the proportions of emergency admission and admission to teaching hospitals between the 2 groups. After matching for sex, hospital, and fiscal year of admission, differences remained in some characteristics such as smoking history and emergency admission between the 2 groups. More than 90% of patients in both groups received coronary reperfusion therapy, with <10% of the cohort receiving diagnostic procedures only (Table II). Intra-aortic balloon pumping, continuous hemodiafiltration, and blood transfusion were performed less frequently in the psoriasis group compared with the control group. However, the multivariable regression analyses showed no significant differences in any of the in-hospital treatments (Table III).
Table II

Comparisons of in-hospital treatments in all patients and the matched patients

All patients
1:10 matched patients
Psoriasis group
Control group
Psoriasis group
Control group
n = 455
n = 438,534
n = 455
n = 4459
n%n%ASDN%n%ASD
Coronary reperfusion therapy410(90)398,054(91)2.2410(90)4037(91)1.4
 PCI405(89)387,192(88)2.3405(89)3942(88)1.9
 CABG8(1.8)14,598(3.3)10.08(1.8)125(2.8)7.0
Mechanical support
 IABP56(12)73,795(17)12.856(12)766(17)13.8
 ECMO10(2.2)14,967(3.4)7.410(2.2)168(3.8)9.2
 Temporary pacing36(7.9)36,919(8.4)1.936(7.9)355(8.0)0.2
 Mechanical ventilation67(15)77,123(18)7.867(15)782(18)7.7
Intermittent hemodialysis13(2.9)17,084(3.9)5.813(2.9)183(4.1)6.8
Continuous hemodiafiltration10(2.2)18,044(4.1)11.010(2.2)179(4.0)10.5
Blood transfusion
 Red blood cells36(7.9)58,042(13)17.436(7.9)547(12)14.5
 Fresh-frozen plasma15(3.3)25,471(5.8)12.115(3.3)239(5.4)10.2
 Platelets9(2.0)18,161(4.1)12.69(2.0)179(4.0)12.0

ASD, Absolute standardized difference; CABG, coronary artery bypass graft; ECMO, extracorporeal membrane oxygenation; IABP, intra-aortic balloon pumping; PCI, percutaneous coronary intervention.

When generating the 1:10 matched-pair cohort, we identified a set of control patients who had the same sex and were admitted to the same hospital in the same year as the case patients. After generating the matched-pair cohort, we conducted multivariable regression analyses with adjustment for the patient and hospital characteristics.

An ASD ≤10% denotes a negligible difference between the 2 groups.

Table III

Univariable and multivariable regression analyses of the in-hospital treatments in the matched patients

1:10 matched patients
Univariable analysis
Multivariable analysis
OR95% CIP valueOR95% CIP value
Coronary reperfusion therapy0.95(0.70-1.30).760.89(0.57-1.38).59
 PCI1.06(0.79-1.43).680.97(0.64-1.46).88
 CABG0.62(0.31-1.26).190.93(0.42-2.04).85
Mechanical support
 IABP0.68(0.51-0.90).0080.74(0.51-1.06).10
 ECMO0.57(0.30-1.10).0920.67(0.27-1.63).38
 Temporary pacing1.00(0.71-1.40).980.98(0.65-1.48).92
 Mechanical ventilation0.81(0.62-1.06).131.04(0.73-1.49).81
 Intermittent hemodialysis0.69(0.39-1.22).200.56(0.24-1.32).18
 Continuous hemodiafiltration0.54(0.28-1.02).0570.41(0.14-1.14).086
Blood transfusion
 Red blood cells0.61(0.43-0.87).0060.69(0.44-1.10).12
 Fresh-frozen plasma0.60(0.36-1.02).0580.69(0.34-1.41).31
 Platelets0.48(0.25-0.94).0330.47(0.19-1.18).11

CABG, Coronary artery bypass graft; ECMO, extracorporeal membrane oxygenation; IABP, intra-aortic balloon pumping; OR, odds ratio; PCI, percutaneous coronary intervention.

The explanatory variables were age, sex, body mass index, smoking history, hypertension, diabetes mellitus, dyslipidemia, Charlson Comorbidity Index, Killip class, infarct site, emergency admission, ambulance use, type of hospital, and hospital volume.

Odds ratios are for the psoriasis group relative to the control group. A generalized estimating equation was used to adjust for within-pair clustering.

Comparisons of in-hospital treatments in all patients and the matched patients ASD, Absolute standardized difference; CABG, coronary artery bypass graft; ECMO, extracorporeal membrane oxygenation; IABP, intra-aortic balloon pumping; PCI, percutaneous coronary intervention. When generating the 1:10 matched-pair cohort, we identified a set of control patients who had the same sex and were admitted to the same hospital in the same year as the case patients. After generating the matched-pair cohort, we conducted multivariable regression analyses with adjustment for the patient and hospital characteristics. An ASD ≤10% denotes a negligible difference between the 2 groups. Univariable and multivariable regression analyses of the in-hospital treatments in the matched patients CABG, Coronary artery bypass graft; ECMO, extracorporeal membrane oxygenation; IABP, intra-aortic balloon pumping; OR, odds ratio; PCI, percutaneous coronary intervention. The explanatory variables were age, sex, body mass index, smoking history, hypertension, diabetes mellitus, dyslipidemia, Charlson Comorbidity Index, Killip class, infarct site, emergency admission, ambulance use, type of hospital, and hospital volume. Odds ratios are for the psoriasis group relative to the control group. A generalized estimating equation was used to adjust for within-pair clustering. The unadjusted comparisons of outcomes in the matched patients showed that the psoriasis group had lower 30-day in-hospital mortality than the control group (0.9% vs 5.6%, P < .001), as well as lower 7-day and overall in-hospital mortality, and in-hospital morbidity (Table IV). Length of stay was slightly longer in the psoriasis group compared with the control group (15 days vs 14 days, P < .001), but the total hospitalization costs did not differ significantly between the 2 groups.
Table IV

Unadjusted comparisons of outcomes in the matched patients

1:10 matched patients
Psoriasis group
Control group
P value
n = 455
n = 4459
n%n%
30-day in-hospital mortality4(.9)226(5.1)<.001
7-day in-hospital mortality2(.4)119(2.7).003
Overall in-hospital mortality8(1.8)278(6.2)<.001
In-hospital morbidity35(7.7)488(11).032
30-day readmission47(10)383(8.6).21
MedianIQRMedianIQRP value

Length of stay, days1511-221410-21<.001
Total hospitalization costs, US$16,76413,754-23,86016,98112,928-24,494.59

IQR, Interquartile range.

When generating the 1:10 matched-pair cohort, we identified a set of control patients who had the same sex and were admitted to the same hospital in the same year as the case patients. After generating the matched-pair cohort, we conducted multivariable regression analyses with adjustment for the patient and hospital characteristics.

Unadjusted comparisons of outcomes in the matched patients IQR, Interquartile range. When generating the 1:10 matched-pair cohort, we identified a set of control patients who had the same sex and were admitted to the same hospital in the same year as the case patients. After generating the matched-pair cohort, we conducted multivariable regression analyses with adjustment for the patient and hospital characteristics. The main analyses in the matched patients are shown in Table V. The multivariable logistic regression analyses showed that psoriasis was significantly associated with lower 30-day in-hospital mortality (OR, 0.26; 95% CI, 0.08-0.85) and overall in-hospital mortality (OR, 0.22; 95% CI, 0.07-0.71), but was not significantly associated with 7-day in-hospital mortality (OR, 0.20; 95% CI, 0.03-1.50) or in-hospital morbidity (OR, 0.82; 95% CI, 0.55-1.24). The multivariable linear regression analysis showed no significant difference in length of stay between the 2 groups (coefficient, 0.48; 95% CI, −1.52 to 2.47). The sensitivity analyses in all patients showed similar results to those of the main analyses (Tables VI and VII).
Table V

Univariable and multivariable regression analyses of outcomes in the matched patients

1:10 matched patients
Univariable analysis
Multivariable analysis
OR95% CIP valueOR95% CIP value
30-day in-hospital mortality0.17(0.06 to 0.45)<.0010.26(0.08 to 0.85).026
7-day in-hospital mortality0.16(0.04 to 0.65).0110.20(0.03 to 1.50).12
Overall in-hospital mortality0.27(0.13 to 0.55)<.0010.22(0.07 to 0.71).011
In-hospital morbidity0.68(0.48 to 0.96).0280.82(0.55 to 1.24).35
30-day readmission1.23(0.90 to 1.68).201.25(0.89 to 1.75).21
Coef95% CIP valueCoef95% CIP value

Length of stay, days−0.31(−2.37 to 1.74).760.48(−1.52 to 2.47).64
Total hospitalization costs, US$−1311.15(−2923.05 to 300.75).11−664.31(−2079.77 to 751.15).36

Coef, Coefficient; OR, odds ratio.

The explanatory variables for the multivariable analysis were age, sex, body mass index, smoking history, hypertension, diabetes mellitus, dyslipidemia, Charlson Comorbidity Index, Killip class, infarct site, emergency admission, ambulance use, type of hospital, and hospital volume.

Odds ratios and coefficients are for the psoriasis group relative to the control group. A generalized estimating equation was used to adjust for within-pair clustering.

Table VI

Unadjusted comparisons of outcomes in all patients

All patients
Psoriasis group
Control group
P value
n = 455
n = 438,534
N%n%
30-day in-hospital mortality4(.9)24,607(5.6)<.001
7-day in-hospital mortality2(.4)13,643(3.1).001
Overall in-hospital mortality8(1.8)30,708(7.0)<.001
In-hospital morbidity35(7.7)43,716(10).11
30-day readmission47(10)37,660(8.6).19
MedianIQRMedianIQRP value

Length of stay, days1511-221410-21<.001
Total hospitalization costs, US$16,76413,754-23,86016,98213,080-24,419.66

IQR, Interquartile range.

Table VII

Univariable and multivariable regression analyses of the outcomes in all patients

All patients
Univariable analysis
Multivariable analysis
OR95% CIP valueOR95% CIP value
30-day in-hospital mortality0.14(0.05 to 0.40)<.0010.28(0.10 to 0.84).023
7-day in-hospital mortality0.13(0.03 to 0.55).0050.18(0.03 to 1.24).081
Overall in-hospital mortality0.24(0.12 to 0.47)<.0010.22(0.08 to 0.65).006
In-hospital morbidity0.70(0.49 to 1.00).0510.85(0.58 to 1.29).48
30-day readmission1.26(0.94 to 1.69).121.40(1.02 to 1.92).034
Coef95% CIP valueCoef95% CIP value

Length of stay, days−0.4(−2.6 to 1.8).740.6(−1.2 to 2.5).50
Total hospitalization costs, US$−1262.15(−2959.71 to 435.40).15−756.75(−2357.09 to 843.59).35

Coef, Coefficient; OR, odds ratio.

The explanatory variables were age, sex, body mass index, smoking history, hypertension, diabetes mellitus, dyslipidemia, Charlson Comorbidity Index, Killip class, infarct site, emergency admission, ambulance use, type of hospital, and hospital volume.

Odds ratios and coefficients are for the psoriasis group relative to the control group. A generalized estimating equation was used to adjust for within-hospital clustering.

Univariable and multivariable regression analyses of outcomes in the matched patients Coef, Coefficient; OR, odds ratio. The explanatory variables for the multivariable analysis were age, sex, body mass index, smoking history, hypertension, diabetes mellitus, dyslipidemia, Charlson Comorbidity Index, Killip class, infarct site, emergency admission, ambulance use, type of hospital, and hospital volume. Odds ratios and coefficients are for the psoriasis group relative to the control group. A generalized estimating equation was used to adjust for within-pair clustering. Unadjusted comparisons of outcomes in all patients IQR, Interquartile range. Univariable and multivariable regression analyses of the outcomes in all patients Coef, Coefficient; OR, odds ratio. The explanatory variables were age, sex, body mass index, smoking history, hypertension, diabetes mellitus, dyslipidemia, Charlson Comorbidity Index, Killip class, infarct site, emergency admission, ambulance use, type of hospital, and hospital volume. Odds ratios and coefficients are for the psoriasis group relative to the control group. A generalized estimating equation was used to adjust for within-hospital clustering.

Discussion

In this study, we examined the association of psoriasis with short-term outcomes of AMI patients, using a nationwide inpatient database in Japan. The findings demonstrated that patients with psoriasis had significantly lower 30-day in-hospital mortality (0.9% vs 5.6%) and overall in-hospital mortality (1.8% vs 7.0%) than patients without psoriasis. To account for site-specific effects in addition to adjustment for patient background characteristics, we performed multivariable regression analyses based on a matched-pair cohort. The results confirmed a significant association between psoriasis and short-term outcomes of AMI. The psoriasis group in our cohort had higher prevalences of traditional risk factors of AMI such as hypertension, dyslipidemia, obesity, and smoking than the control group. Consequently, the age at AMI onset was younger in the psoriasis group than in the control group. These baseline demographic and clinical characteristics were consistent with the findings in previous reports,,,, including a difference in the predominance of male sex between the 2 groups. However, on generation of the 1:10 matched-pair cohort matched for sex, hospital, and fiscal year of admission only, the prevalences of comorbidities other than smoking became comparable between the 2 groups. We consider that the sex predominance and site-specific effects were closely associated with comorbidities, and thus our matched-pair cohort analyses suited the adjustment for background characteristics. In the present study, >90% of AMI patients underwent therapeutic procedures in both the psoriasis group and the control group, suggesting that coronary reperfusion therapy, particularly PCI, is readily available in Japan. A previous study showed that coexisting rheumatoid arthritis did not affect the likelihood of receiving coronary reperfusion therapy in Japan. The present study showed that management of AMI including coronary reperfusion therapy was similar between patients with and without psoriasis in Japan. The proportions of patients who underwent CABG were comparable between the psoriasis group and the control group in this study, whereas a study in Germany found a higher proportion of CABG in the psoriasis group compared with the control group (7.7% vs 4.7%). The difference between Japan and Germany in the selection of coronary reperfusion therapy may be partially explained by the availability of PCI in each country. Although previous studies suggested an impaired prognosis in AMI patients with psoriasis,, a recent study in Germany found substantially lower in-hospital mortality in AMI patients with psoriasis than in AMI patients without psoriasis (7.1% vs 12.4%). The present findings were consistent with the study in Germany, although the in-hospital mortality rates for both groups in Japan were lower than the corresponding rates for both groups in Germany. Furthermore, even after adjustment for Killip class at admission (a predictor of short-term mortality in patients with AMI), which was not considered in the study in Germany, the present multivariable regression analyses showed better outcomes in the psoriasis group than in the control group. We thus consider that the associations between psoriasis and favorable outcomes of AMI are generalizable. There are several possible explanations for why patients with psoriasis had better short-term outcomes than patients without psoriasis. First, better control of comorbidities related to AMI may have contributed to the better outcomes in the psoriasis group, although these patients were likely to have well-known risk factors for AMI. For example, the patients could have received more intense treatment for diabetes mellitus in an outpatient setting before the onset of AMI than the general population because of their periodic access to medical services. Therefore, early and proper consultation between dermatologists and physicians in other departments regarding comorbidities may have improved the prognosis of AMI in patients with psoriasis. Second, biologics that specifically target cytokines are now widely available treatment options for psoriasis, especially in patients with severe symptoms.28, 29, 30 These biologics include tumor necrosis factor αinhibitors, interleukin-12/23 inhibitors, and interleukin-17 inhibitors,33, 34, 35 which may have protective effects for AMI through suppression of systemic inflammation., Several limitations of the present study should be acknowledged. First, because the study was based on administrative claims data, the detailed symptoms of the patients were not considered. For example, previous studies showed that patients with severe psoriasis were at higher risk and had worse outcomes of AMI than patients with mild psoriasis., The present study did not account for the severity of psoriasis owing to a lack of available data. Second, because the study was based on inpatient data, outpatient data were unavailable. Treatment with biologics in the outpatient setting may have affected the outcomes of AMI. In addition, discharged patients who died within 30 days of admission were not identified in the study, which may have resulted in an underestimation of the 30-day overall mortality. However, we considered that a comparison of in-hospital mortality is acceptable to study the association between a disease and short-term outcomes of AMI. Third, there may have been a recording bias for comorbidities, including psoriasis, in patients with severe AMI. If coexisting psoriasis was unlikely to be recorded in patients with severe AMI, it could have resulted in better outcomes in the psoriasis group compared with the control group. However, several validation studies have confirmed that the validity of the diagnostic and procedural records in the database is generally high.19, 20, 21 Moreover, even after adjustment for severity of AMI (Killip class), the present study revealed better outcomes in the psoriasis group than in the control group.

Conclusion

We compared the short-term outcomes of AMI patients with and without psoriasis using a nationwide inpatient database, with adjustments for patient and hospital characteristics. Our matched-pair cohort analyses demonstrated that patients with psoriasis had lower in-hospital mortality than patients without psoriasis.

Conflicts of interest

Dr Miyachi has received honoraria from companies that manufacture drugs used for the treatment of psoriasis, including Janssen Pharmaceutical KK, Taiho Pharmaceutical Co Ltd, and AbbVie GK. The other authors have no conflicts of interest to disclose.
  37 in total

Review 1.  Psoriasis.

Authors:  Frank O Nestle; Daniel H Kaplan; Jonathan Barker
Journal:  N Engl J Med       Date:  2009-07-30       Impact factor: 91.245

2.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.

Authors:  M E Charlson; P Pompei; K L Ales; C R MacKenzie
Journal:  J Chronic Dis       Date:  1987

3.  Effects of Interleukin 17A Inhibition on Myocardial Deformation and Vascular Function in Psoriasis.

Authors:  George Makavos; Ignatios Ikonomidis; Ioanna Andreadou; Maria Varoudi; Irini Kapniari; Eleni Loukeri; Kostas Theodoropoulos; George Pavlidis; Helen Triantafyllidi; John Thymis; John Parissis; Maria Tsoumani; Pinelopi Rafouli-Stergiou; Pelagia Katsimbri; Evangelia Papadavid
Journal:  Can J Cardiol       Date:  2019-06-26       Impact factor: 5.223

4.  A Phase IV, Randomized, Double-Blind, Placebo-Controlled Crossover Study of the Effects of Ustekinumab on Vascular Inflammation in Psoriasis (the VIP-U Trial).

Authors:  Joel M Gelfand; Daniel B Shin; Abass Alavi; Drew A Torigian; Tom Werner; Maryte Papadopoulos; Junko Takeshita; Megan H Noe; Amit K Dey; Martin P Playford; Nehal N Mehta
Journal:  J Invest Dermatol       Date:  2019-07-19       Impact factor: 8.551

5.  Risk of myocardial infarction in patients with psoriasis.

Authors:  Joel M Gelfand; Andrea L Neimann; Daniel B Shin; Xingmei Wang; David J Margolis; Andrea B Troxel
Journal:  JAMA       Date:  2006-10-11       Impact factor: 56.272

Review 6.  Psoriasis.

Authors:  Wolf-Henning Boehncke; Michael P Schön
Journal:  Lancet       Date:  2015-05-27       Impact factor: 79.321

7.  The association between hospital volume and survival after acute myocardial infarction in elderly patients.

Authors:  D R Thiemann; J Coresh; W J Oetgen; N R Powe
Journal:  N Engl J Med       Date:  1999-05-27       Impact factor: 91.245

8.  Prognostic importance of physical examination for heart failure in non-ST-elevation acute coronary syndromes: the enduring value of Killip classification.

Authors:  Umesh N Khot; Gang Jia; David J Moliterno; A Michael Lincoff; Monica B Khot; Robert A Harrington; Eric J Topol
Journal:  JAMA       Date:  2003-10-22       Impact factor: 56.272

9.  Effect of 2 Psoriasis Treatments on Vascular Inflammation and Novel Inflammatory Cardiovascular Biomarkers: A Randomized Placebo-Controlled Trial.

Authors:  Nehal N Mehta; Daniel B Shin; Aditya A Joshi; Amit K Dey; April W Armstrong; Kristina Callis Duffin; Zelma Chiesa Fuxench; Charlotte L Harrington; Rebecca A Hubbard; Robert E Kalb; Alan Menter; Daniel J Rader; Muredach P Reilly; Eric L Simpson; Junko Takeshita; Drew A Torigian; Thomas J Werner; Andrea B Troxel; Stephen K Tyring; Suzette Baez Vanderbeek; Abby S Van Voorhees; Martin P Playford; Mark A Ahlman; Abass Alavi; Joel M Gelfand
Journal:  Circ Cardiovasc Imaging       Date:  2018-06       Impact factor: 7.792

10.  Treatments and outcomes of generalized pustular psoriasis: A cohort of 1516 patients in a nationwide inpatient database in Japan.

Authors:  Hideaki Miyachi; Takaaki Konishi; Ryosuke Kumazawa; Hiroki Matsui; Sayuri Shimizu; Kiyohide Fushimi; Hiroyuki Matsue; Hideo Yasunaga
Journal:  J Am Acad Dermatol       Date:  2021-06-08       Impact factor: 11.527

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