Literature DB >> 31580531

New-onset atrial fibrillation predicting for complicating cardiac adverse outcome in scrub typhus infection.

Suk-Yong Jang1, Ki-Woon Kang2, Jun Hyung Kim3, Bongyoung Kim4, Jung Yeon Chin2, Sang Hyun Park2, Yu Jeong Choi2, Kyung Tae Jung2, Seong-Kyu Lee2.   

Abstract

BACKGROUND: Scrub typhus is a well-known infectious disorder of the Asia-Pacific region. However, adverse cardiac outcomes are an under-recognized complication of scrub typhus infection, and new-onset AF has been reported to be a prognostic factor in other, more common infectious diseases. The present study investigated whether new-onset atrial fibrillation (AF) is significantly associated with 3-month mortality and adverse cardiac complications in scrub typhus infection.
METHODS: We examined data from the National Health Information Database (NHID) which covers nearly the entire population of South Korea, from 2006 to 2016. In total, 233 473 patients diagnosed with scrub typhus infection were selected as study participants. New-onset AF, acute heart failure (AHF), ischemic heart disease (IHD), and 3-month mortality were analyzed using a generalized estimating equation model with a Poisson distribution.
RESULTS: Of these, 2402 patients (1%) were diagnosed with new-onset AF (87.2% were over 60 years of age, 43.3% were male). Those with new-onset AF were more likely to have underlying cardiovascular disease compared to those without new-onset AF. After being adjusted for demographic factors and comorbidities, those with new-onset AF had a higher incidence risk of concurrent AHF (4.1-fold) and IHD (1.9-fold) compared with those without new-onset AF. In particular, the 3-month mortality was also significantly associated with new-onset AF (1.3-fold), concurrent AHF (2.4-fold), and IHD (13.7-fold).
CONCLUSIONS: New-onset AF was significantly associated with 3-month mortality and concurrent AHF and IHD. Therefore, new-onset AF could be a poor prognostic factor for 3-month mortality and cardiac complications in scrub typhus infection.
© 2019 The Authors. Clinical Cardiology published by Wiley Periodicals, Inc.

Entities:  

Keywords:  Atrial fibrillation; Heart failure; Ischemic heart disease; Scrub typhus

Mesh:

Year:  2019        PMID: 31580531      PMCID: PMC6906989          DOI: 10.1002/clc.23276

Source DB:  PubMed          Journal:  Clin Cardiol        ISSN: 0160-9289            Impact factor:   2.882


INTRODUCTION

Scrub typhus is a well‐known, seasonal infection caused by Orientia tsutsugamushi, which mainly confined to Southeastern Asia and the Western Pacific rim.1, 2 Recently, the geographical distribution of its endemic area has been widening with its overall mortality rate increasing. However, scrub‐typhus‐induced adverse cardiovascular complications remain remarkably under‐recognized.3 The majority of scrub typhus infections resolve with proper antibiotics and supportive treatment without any complications.4 However, with regards to scrub typhus infection complications,5, 6, 7 the overall mortality rate has been reported to range from overall 16% to 30%, which might be attributed to cardiovascular complications.8, 9 In particular, new‐onset atrial fibrillation (AF) has been reported as a poor prognostic factor in common infectious disorders,10, 11 which points to the need for investigating the association between scrub typhus infection and subsequent adverse cardiac events. New‐onset AF, acute heart failure (AHF), and ischemic heart disease (IHD) have been recognized as the major cardiac manifestations of public health adverse outcomes and the primary end points of infection‐induced cardiovascular outcomes.11, 12, 13 Therefore, we investigated whether new‐onset AF was significantly associated with 3‐month mortality and concurrent AHF and IHD in a nationwide cohort of scrub typhus infection.

METHODS

Data source

This study used data from the National Health Information Database (NHID) from 2006 to 2016. This is a public database on healthcare utilization, health screening, sociodemographic variables, and mortality for the entire population of South Korea (hereafter referred to as “Korea”), which was formed by the National Health Insurance Service (NHIS).14 Under universal medical coverage, all medical claims data are collected by the NHIS as the single insurer in Korea; therefore, all individuals included in the NHID were followed until 2017 unless there was a death or disqualification from National Health Insurance for an appropriate reason, such as emigration. The NHID includes an eligibility database, a national health screening database, a healthcare utilization database, a long‐term care insurance database, and a healthcare provider database.14 The healthcare utilization database is based on data collected during the processing of healthcare claims for services used and includes records of inpatient and outpatient usage (diagnosis, length of stay, treatment costs, services received) and prescription records (drug code, days prescribed, daily dosage).14 Access to the NHID can be obtained through the Health Insurance Data Service home page [http://nhiss.nhis.or.kr].

Sample size and collection

The population included in the NHID was over 49 million in 2006 and 51 million in 2016. From the NHID, during 2006 to 2016, a total of 240 329 patients with scrub typhus were selected using three criteria: (a) diagnosis code of ICD‐10 A753 (typhus fever due to Rickettsia tsutsugamushi), A752 (typhus fever due to Rickettsia typhi), or A759 (typhus fever, unspecified); (b) prescription of doxycycline or azithromycin for at least 3 days; and (c) 20 years of age or over at the time of diagnosis.12 In order to detect relevant cases, 2661 patients were excluded due to prior history of AF or acute myocarditis. Additionally, 4195 patients with missing values were excluded. Finally, a total of 233 473 patients with scrub typhus were selected as study participants. The index date (date of diagnosis) was defined as the date of first prescription.

Definition of new‐onset atrial fibrillation, acute heart failure, ischemic heart disease, and mortality

New‐onset AF was defined with a diagnosis code of ICD‐10 I48 (paroxysmal AF) within 30 days of the index date and no prior history of AF. New‐onset AHF was defined by a diagnosis code of ICD‐10 I40 (acute myocarditis), I30 (acute pericarditis), or I50 (heart failure) within 30 days of the index date. To exclude AHF induced by IHD, patients treated with coronary bypass graft surgery, primary coronary intervention, or thrombolytic agents (streptokinase, urokinase, tenecteplase) were further excluded. New‐onset IHD was defined as: (a) a diagnosis code of ICD‐10 I21 (acute myocardial infarction) or I20 (angina pectoris) within 30 days of the index date; and (b) treatment with coronary bypass graft surgery, primary coronary intervention, or thrombolytic agents (streptokinase, urokinase, tenecteplase). Three‐month all‐cause mortality was defined as death due to any cause within 90 days of the index date. Dates of deaths were obtained using each participant's unique, de‐identified number code, which is linked to mortality information from the Korean National Statistical Office.

Statistical analysis

To assess the association between new‐onset AF and the risk of AHF, IHD, and 30‐day mortality, a generalized estimating equation model with a Poisson distribution and logarithmic link function was used to estimate adjusted risk ratios (RRs) and 95% confidence intervals (CIs). Potential confounders were adjusted for using multivariable‐adjusted regression models. The participants' level of comorbidities were assessed using the diagnostic codes during the three years prior to the index date using the Quan's International Statistical Classification of Disease and Related Health Problems, 10th Revision (ICD‐10) coding algorithm of the Charlson Comorbidity Score (CCS).15 The presence of the disease categories AHF, IHD, stroke, chronic kidney disease, diabetes mellitus, hypertension, and malignancy were defined based on at least two outpatient visits or one inpatient admission with the corresponding primary or secondary diagnosis codes. Statistical analyses were conducted using SAS software, version 9.4 (SAS Institute, Cary, North Carolina). A P value less than .05 was considered statistically significant.

RESULTS

Baseline characteristics

Most of the patients within the scrub typhus cohort were female residents (41.1%, male) in non‐metropolitan areas (75.0%) treated with doxycycline (93.7%). These patients and had low incidence of previous HF (1.2%), previous IHD (5.9%), chronic kidney disease (0.4%), diabetes (13.3%), or a CCS over three (5.1%).

Incidence of new‐onset AF

Of the 233 473‐scrub typhus infection records in the cohort, 2402 (1.0%) patients were diagnosed as having new‐onset AF during treatment for scrub typhus infection. Those with new‐onset AF tended to be over the age of 60 (87.2%) with significantly higher incidences of intensive care unit (ICU) hospitalization (7.7% vs 0.9%), previous HF (5.8% vs 1.2%), previous IHD (10.7% vs 5.9%), previous stroke (7.9% vs 3.5%), chronic kidney disease (1.0% vs 0.4%), diabetes (17.1% vs 13.2%), and hypertension (54.0% vs 34.0%) compared to those without new‐onset AF (Table 1).
Table 1

Baseline characteristics of scrub typhus patients with and without new‐onset atrial fibrillation

VariablesTotal 233 473With new‐onset AF 2402Without AF 231 071P
Age <.0001
20‐4948 519 (20.7%)109 (4.5%)48 410 (20.9%)
50‐5953 480 (22.9%)199 (8.2%)53 281 (23.0%)
60‐6960 676 (25.9%)537 (22.3%)60 139 (26.0%)
70‐7953 648 (22.9%)972 (40.4%)52 676 (22.8%)
Over 8017 150 (7.35%)585 (24.3%)16 565 (7.1%)
Sex 0.0315
Male96 071 (41.1%)1040 (43.3%)95 031 (41.1%)
Female137 402 (58.8%)1362 (56.7%)136 040 (58.8%)
Insurance
Medical aids12 883 (5.5%)207 (8.6%)12 676 (5.4%)
Health insurance<.0001
1Q38 844 (16.6%)374 (15.5%)38 470 (16.6%)
2Q42 517 (18.2%)383 (15.9%)42 134 (18.2%)
3Q58 837 (25.2%)517 (21.5%)58 320 (25.2%)
4Q80 392 (34.4%)921 (38.3%)79 471 (34.3%)
Residential area 0.1446
Metropolitan58 200 (24.9%)568 (23.6%)57 632 (24.9%)
Non‐metropolitan175 273 (75.0%)1834 (76.3%)173 439 (75.0%)
Institution <.0001
Outpatient care96 057 (41.1%)66 (2.7%)95 991 (41.5%)
Admission
Less 30084 847 (36.3%)982 (40.8%)83 865 (36.2%)
300‐79943 253 (18.5%)1077 (44.8%)42 176 (18.2%)
Over 8009316 (3.9%)277 (11.5%)9039 (3.9%)
Antibiotics <.0001
Doxycycline218 791 (93.7%)1932 (80.4%)216 859 (93.8%)
Azithromycin8910 (3.8%)227 (9.4%)8683 (3.7%)
Both5772 (2.4%)243 (10.1%)5529 (2.3%)
ICU care <.0001
Yes2342 (0.1%)185 (7.7%)2157 (0.9%)
Medical history
Past scrub typhus<.0001
Yes7300 (3.1%)42 (1.7%)7258 (3.1%)
Congestive heart failure<.0001
Yes2973 (1.2%)140 (5.8%)2833 (1.2%)
Ischemic heart disease<.0001
Yes13 995 (5.9%)258 (10.7%)13 737 (5.9%)
Stroke<.0001
Yes8355 (3.5%)190 (7.9%)8165 (3.5%)
Chronic kidney disease<.0001
Yes1121 (0.4%)26 (1.0%)1095 (0.4%)
Diabetes mellitus<.0001
Yes31 072 (13.3%)412 (17.1%)30 660 (13.2%)
Hypertension<.0001
Yes80 059 (34.2%)1299 (54.0%)78 760 (34.0%)
Malignancy0.7353
Yes9979 (4.2%)106 (4.4%)9873 (4.2%)
Charlson Comorbidity Score <.0001
0142 097 (60.8%)1227 (51.0%)140 870 (60.9%)
157 174 (24.4%)710 (29.5%)56 464 (24.4%)
222 228 (9.5%)294 (12.2%)21 934 (9.4%)
Over 311 974 (5.1%)171 (7.1%)11 803 (5.1%)
Calendar year <.0001
200622 470 (9.6%)221 (9.2%)22 249 (9.6%)
200719 413 (8.3%)187 (7.7%)19 226 (8.3%)
200821 238 (9.0%)199 (8.2%)21 039 (9.1%)
200922 726 (9.7%)197 (8.2%)22 529 (9.7%)
201019 924 (8.5%)228 (9.4%)19 696 (8.5%)
201118 435 (7.8%)180 (7.4%)18 255 (7.9%)
201224 784 (10.6%)230 (9.5%)24 554 (10.6%)
201324 547 (10.5%)241 (10.0%)24 306 (10.5%)
201417 916 (7.6%)243 (10.0%)17 673 (7.6%)
201520 397 (8.7%)303 (12.6%)20 094 (8.7%)
201621 623 (9.2%)173 (7.2%)21 450 (9.2%)
Baseline characteristics of scrub typhus patients with and without new‐onset atrial fibrillation

Incidence risk ratio for cardiovascular complication

Those with new‐onset AF had an incidence risk ratio (IRR) of 4.1 for AHF within a few days of scrub typhus infection diagnosis compared with those without new‐onset AF (Figure 1A). Furthermore, patients over 50 years of age had an increased IRR of 2.0 to 5.4 for AHF. Patients admitted to the ICU or having a previous diagnosis of HF or IHD had an IRR for AHF of 2.4, 2.2, and 1.2, respectively, after being adjusted for demographic factors and comorbidities (Table 2).
Figure 1

Comparison of survival rate free from, A, acute heart failure, B, ischemic heart disease, C, all‐cause mortality in patients diagnosed as scrub typhus between with and without new‐onset atrial fibrillation (NAF)

Table 2

Incidence risk ratio for the occurrence of acute heart failure according to the development of new‐onset atrial fibrillation among scrub typhus patients

Cumulative incidenceCrude modelAdjusted model
VariablesEventsAt risk%Relative risk95% confidence interval P Adjust relative risk95% confidence interval P
New‐onset AF
No3273231 0711.421.001.00
Yes446240218.57 13.11 11.9814.35<.0001 4.12 4.553.73<.0001
Age
20‐4923548 5190.481.001.00
50‐5934953 4800.65 1.35 1.141.59.0004 1.27 1.491.07.0052
60‐6971160 6761.17 2.42 2.092.80<.0001 2.02 2.351.74<.0001
70‐79145053 6482.70 5.58 4.866.40<.0001 3.59 4.153.10<.0001
Over 8097417 1505.68 11.73 10.1813.51<.0001 5.46 6.364.69<.0001
Sex
Male133596 0711.39 0.80 0.750.86<.0001 0.94 1.000.88.0536
Female2384137 4021.741.001.00
Insurance
Medical aids35212 8832.731.001.00
Health insurance
1Q63038 8441.62 0.59 0.520.68<.0001 0.89 1.010.78.0737
2Q53142 5171.25 0.46 0.400.52<.0001 0.78 0.890.68.0002
3Q80358 8371.36 0.50 0.440.57<.0001 0.80 0.910.71.0004
4Q140380 3921.75 0.64 0.570.72<.0001 0.78 0.880.70<.0001
Residential area
Metropolitan86558 2001.491.001.00
Non‐metropolitan2854175 2731.63 0.91 0.850.98.0178 0.97 1.050.90.5052
Institution
Outpatient care11596 0570.121.001.00
Antibiotics
Doxycycline3016218 7911.381.001.00
Azithromycin38289104.29 3.11 2.803.45<.0001 1.59 1.771.43<.0001
Both32157725.56 4.03 3.614.51<.0001 1.52 1.701.35<.0001
ICU care
No3510231 1311.521.001.00
Yes20923428.92 5.88 5.146.72<.0001 2.46 2.842.13<.0001
Medical history
Past scrub typhus
No3628226 1731.601.001.00
Yes9173001.25 0.78 0.630.96.0169 0.81 0.990.66.0417
Congestive heart failure
No3492230 5001.521.001.00
Yes22729737.64 5.04 4.435.74<.0001 2.20 2.531.92<.0001
Ischemic heart disease
No3251219 4781.481.001.00
Yes46813 9953.34 2.26 2.052.48<.0001 1.28 1.421.16<.0001
Stroke
No3439225 1181.531.001.00
Yes28083553.35 2.19 1.952.47<.0001 1.09 1.230.96.1742
Chronic kidney disease
No3673232 3521.581.001.00
Yes4611214.10 2.60 1.953.45<.0001 1.05 1.420.78.7467
Diabetes mellitus
No2978202 4011.471.001.00
Yes74131 0722.38 1.62 1.501.76<.0001 1.02 1.100.94.6843
Hypertention
No1713153 4141.121.001.00
Yes200680 0592.51 2.24 2.112.39<.0001 1.16 1.251.08<.0001
Malignancy
No3539223 4941.581.001.00
Yes18099791.80 1.14 0.981.32.0852 0.86 1.020.72.0767
Charlson Comorbidity Score
01838142 0971.291.001.00
1103657 1741.81 1.40 1.301.51<.0001 0.95 1.020.88.1554
254422 2282.45 1.89 1.722.08<.0001 1.09 1.210.99.0896
Over 330111 9742.51 1.94 1.722.19<.0001 0.96 1.110.83.5876
Comparison of survival rate free from, A, acute heart failure, B, ischemic heart disease, C, all‐cause mortality in patients diagnosed as scrub typhus between with and without new‐onset atrial fibrillation (NAF) Incidence risk ratio for the occurrence of acute heart failure according to the development of new‐onset atrial fibrillation among scrub typhus patients Those with new‐onset AF had an IRR of 1.9 for IHD compared with those without new‐onset AF (Figure 1B). Patients over the age of 50 also had an increased IRR for IHD of 2.9 to 14.6. Those admitted to the ICU, or having a past scrub typhus infection, HF or IHD had an IRR for IHD of 5.6, 2.0, 1.5, and 2.0, respectively, after being adjusted for demographic factors and comorbidities (Table 3).
Table 3

Incidence risk ratio for the occurrence of ischemic heart disease according to the development of new‐onset atrial fibrillation among scrub typhus patients

Cumulative incidenceCrude modelAdjusted model
VariablesEventsAt risk%Relative risk95% confidence interval P Adjust relative risk95% confidence interval P
New‐onset AF 1.00
No278231 0710.121.00
Yes2724021.12 9.34 6.3113.84<.0001 1.95 3.041.25.0032
Age
20‐49848 5190.021.001.00
50‐592653 4800.05 2.95 1.346.51.0075 2.99 6.641.35.0071
60‐696560 6760.11 6.50 3.1213.54<.0001 5.45 11.512.58<.0001
70‐7912853 6480.24 14.47 7.0829.56<.0001 9.60 19.944.62<.0001
Over 807817 1500.45 27.58 13.3357.09<.0001 14.65 31.006.92<.0001
Sex
Male16496 0710.17 1.66 1.332.08<.0001 1.96 2.461.56<.0001
Female141137 4020.101.001.00
Insurance
Medical aids4212 8830.331.001.00
Health insurance
1Q4738 8440.12 0.37 0.240.56<.0001 0.61 0.920.40.0197
2Q4442 5170.10 0.32 0.210.48<.0001 0.55 0.860.36.0078
3Q6158 8370.10 0.32 0.210.47<.0001 0.51 0.770.34.0013
4Q11180 3920.14 0.42 0.300.60<.0001 0.52 0.740.36.0003
Residential area
Metropolitan8158 2000.141.001.00
Non‐metropolitan224175 2730.13 1.09 0.841.40.5105 1.16 1.500.90.2538
Institution
Outpatient care1996 0570.021.001.00
Antibiotics
Doxycycline221218 7910.101.001.00
Azithromycin3589100.39 3.89 2.725.55<.0001 1.97 2.861.35.0004
Both4957720.85 8.40 6.1711.44<.0001 3.45 4.792.48<.0001
ICU care
No259231 1310.111.001.00
Yes4623421.96 17.53 12.8423.92<.0001 5.63 7.993.97<.0001
Medical history
Past scrub typhus
No289226 1730.131.001.00
Yes1673000.22 1.72 1.042.84.0354 2.08 3.441.25.0046
Congestive heart failure
No290230 5000.131.001.00
Yes1529730.50 4.01 2.396.73<.0001 1.50 2.540.88.1342
Ischemic heart disease
No247219 4780.111.001.00
Yes5813 9950.41 3.68 2.774.90<.0001 2.00 2.711.47<.0001
Stroke
No281225 1180.121.001.00
Yes2483550.29 2.30 1.523.49<.0001 0.94 1.450.61.7672
Chronic kidney disease
No293232 3520.131.001.00
Yes1211211.07 8.49 4.7815.07<.0001 2.67 5.161.38.0035
Diabetes mellitus
No232202 4010.111.001.00
Yes7331 0720.23 2.05 1.582.67<.0001 1.22 1.620.92.1583
Hypertension
No130153 4140.081.001.00
Yes17580 0590.22 2.58 2.063.24<.0001 1.25 1.620.96.0929
Malignancy
No287223 4940.131.001.00
Yes1899790.18 1.40 0.872.26.1616 0.93 1.610.54.8009
Charlson Comorbidity Score
0140142 0970.101.001.00
18957 1740.16 1.58 1.212.06.0007 1.02 1.340.77.8893
24322 2280.19 1.96 1.402.76.0001 0.98 1.410.69.9271
Over 33311 9740.28 2.80 1.924.09<.0001 0.97 1.610.58.8956
Incidence risk ratio for the occurrence of ischemic heart disease according to the development of new‐onset atrial fibrillation among scrub typhus patients

Cardiovascular complications and mortality

New‐onset AF, AHF and IHD had an IRR for 3‐month mortality of 1.3, 2.4, and 13.7, respectively, after controlling for demographic factors and comorbidities. Increased age over 50 years also had an increased IRR of 1.8 to 10.2 for 3‐month mortality, and those admitted to the ICU had an IRR for 3‐month mortality of 4.5. Interestingly, those with better economic or health status also showed a lower IRR for mortality than those with poorer economic or health status (Table 4, Figure 1C).
Table 4

Incidence risk ratio of demographic characteristics and comorbidities for mortality in scrub typhus patients

Cumulative incidenceCrude modelAdjusted model
VariablesEventsAt risk%Relative risk95% confidence interval P Adjust relative risk95% confidence interval P
New‐onset AF
No1347231 0710.581.001.00
Yes10524024.37 7.50 6.179.11<.0001 1.34 1.071.68.0106
Acute heart failure
No1243229 7540.541.001.00
Yes20937195.62 10.39 9.0011.98<.0001 2.41 2.042.84<.0001
Ischemic heart disease
No1292233 1680.551.001.00
Yes16030552.46 94.67 83.98106.73<.0001 13.72 11.0317.07<.0001
Age
20‐496248 5190.131.001.00
50‐5912153 4800.23 1.77 1.302.40.0003 1.80 1.332.44.0001
60‐6921760 6760.36 2.80 2.113.71<.0001 2.39 1.793.18<.0001
70‐7956953 6481.06 8.30 6.3910.78<.0001 5.33 4.067.02<.0001
Over 8048317 1502.82 22.04 16.9328.69<.0001 10.29 7.7613.65<.0001
Sex
Male75196 0710.78 1.53 1.381.70<.0001 1.68 1.511.87<.0001
Female701137 4020.511.001.00
Insurance
Medical aids18112 8831.411.001.00
Health insurance
1Q23338 8440.60 0.43 0.350.52<.0001 0.77 0.630.94.0118
2Q21542 5170.51 0.36 0.300.44<.0001 0.73 0.600.90.0033
3Q30858 8370.52 0.37 0.310.45<.0001 0.70 0.580.85.0002
4Q51580 3920.64 0.46 0.390.54<.0001 0.63 0.520.75<.0001
Residential area
Metropolitan30258 2000.521.001.00
Non‐metropolitan1150175 2730.66 0.79 0.700.90.0003 0.86 0.750.98.0292
Institution
Outpatient care7296 0570.081.001.00
Admission
Antibiotics
Doxycycline952218 7910.441.001.00
Azithromycin31089103.48 8.00 7.059.07<.0001 3.43 2.973.96<.0001
Both19057723.29 7.57 6.498.82<.0001 2.45 2.072.90<.0001
ICU care
No1241231 1310.541.001.00
Yes21123429.01 16.78 14.5919.30<.0001 4.51 3.775.39<.0001
Medical history
Past scrub typhus
No1388226 1730.611.001.00
Yes6473000.88 1.43 1.111.83.0051 1.19 0.911.55.213
Congestive heart failure
No1385230 5000.601.001.00
Yes6729732.25 3.75 2.944.78<.0001 1.45 1.101.91.0083
Ischemic heart disease
No1294219 4780.591.001.00
Yes15813 9951.13 1.91 1.622.26<.0001 1.01 0.851.20.9023
Stroke
No1316225 1180.581.001.00
Yes13683551.63 2.78 2.343.32<.0001 1.10 0.911.32.3361
Chronic kidney disease
No1412232 3520.611.001.00
Yes4011213.57 5.87 4.318.00<.0001 1.18 0.811.72.3797
Diabetes mellitus
No1120202 4010.551.001.00
Yes33231 0721.07 1.93 1.712.18<.0001 1.29 1.131.47.0001
Hypertension
No704153 4140.461.001.00
Yes74880 0590.93 2.04 1.842.26<.0001 0.94 0.841.06.3192
Malignancy
No1327223 4940.591.001.00
Yes12599791.25 2.11 1.762.53<.0001 0.99 0.771.26.9164
Charlson Comorbidity Score
0565142 0970.401.001.00
144357 1740.77 1.95 1.722.21<.0001 1.32 1.161.49<.0001
222722 2281.02 2.57 2.202.99<.0001 1.31 1.111.55.0015
Over 321711 9741.81 4.56 3.905.32<.0001 1.76 1.432.17<.0001
Incidence risk ratio of demographic characteristics and comorbidities for mortality in scrub typhus patients

DISCUSSION

In this nationwide scrub typhus infection cohort, patients with new‐onset AF were more likely to be hospitalized in the ICU and had higher 3‐month mortality rates. In particular, new‐onset AF was significantly associated with concurrent AHF or IHD during treatment for scrub typhus infection. Unlike the adverse cardiac complications occurring as a result of common infections,16, 17 evidence to date has been unclear concerning an association between scrub typhus infection and adverse cardiac outcomes.11 The present study is the first to demonstrate that new‐onset AF was significantly associated with 3‐month mortality and adverse cardiac complications in scrub typhus infection. Occurrence of new‐onset AF has been known to be associated with infection which may be triggered by acute inflammatory condition.18 In critically‐ill patients with common infectious diseases, new‐onset AF has been reported to be significantly associated with all‐cause mortality in the ICU.10, 19 The FROG‐ICU trial demonstrated that new‐onset AF occurred in 19% of all patients in the ICU and had an incidence risk of 2.2‐fold for 1‐year mortality compared to those without new‐onset AF.20 The present study demonstrates that new‐onset AF occurred in the 7.7% of all patients in the ICU and had an incidence risk of 4.5‐fold for 3‐month mortality compared to those without new‐onset AF. It is noteworthy that new‐onset AF in scrub typhus infection developed less frequently, but had a higher risk of mortality than in the other infectious diseases. The reason for the higher mortality and adverse cardiac complications could be explained by the unique pathophysiology of scrub typhus infection,17 which initiates at the site of skin inoculation, evolves into regional lymphadenopathy and spreads to vasculitis with subsequent target organ damage.21 Subsequently, induced myocardial inflammation could develop electrical, functional, and structural remodeling during the pathogenesis of new‐onset AF and AHF.22, 23, 24, 25, 26 The present study also demonstrates that AHF concurrent with new‐onset AF could develop within only a few days of the index diagnosis of scrub typhus infection (Figure 1A). In addition, new‐onset AF was also associated with a greater risk for developing IHD in the critically‐ill status including complicating scrub typhus infection.11, 27, 28 Coronary vasculitis also might induce direct endothelial dysfunction and vascular injury causing atherosclerotic plaque growth or rupture during the pathogenesis of IHD.29, 30 In particular, ECG or rhythm surveillance for cardiac complications could be a necessary monitoring of scrub typhus infection because of the risk of developing atrial or ventricular arrhythmia and changes in the ST segment of ECG as a result of active inflammation in the myocardium.11 Available ECG‐based new‐onset AF or ST segment change could be more readily evaluated31 than time and cost‐consuming echocardiogram‐based AHF or angiogram‐based IHD32 under the care of non‐cardiologic department. ECG or rhythm‐based surveillance for the development of cardiac complications is crucial for preventing scrub typhus infection from developing life‐threatening outcomes.33 This could provide an additional method for reducing adverse cardiac complications in scrub typhus infection.

Limitations

There are several limitations to the present study. First, the national cohort data does not include lifestyle information, such as alcohol intake, smoking habits, body mass index or family history, all of which are potential confounding factors in this study. Second, old age, hypertension, diabetes and previous HF are well‐known comorbidities strongly correlated with new‐onset AF. Therefore, we adjusted for these comorbidities to minimize the influence of AHF or IHD on 3‐month mortality. Third, living in a metropolitan area or being treated with azithromycin for a refractory or complicated type of scrub typhus infection also might induce treatment bias. Fourth, the cohort data were selected according to ICD codes, which may potentially have misclassification bias. Fifth, there was no control group of patients without scrub typhus infection. Therefore, our results might not be fully generalizable, and a prospective, randomized controlled trial should be conducted to overcome these limitations.

CONCLUSION

New‐onset AF was significantly associated with 3‐month mortality and concurrent cardiac adverse outcomes. Therefore, new‐onset AF may be a poor prognostic factor for 3‐month mortality and adverse cardiac complications in scrub typhus infection. Further investigation is warranted to prospectively validate these results.

CONFLICT OF INTEREST

The authors declare no potential conflict of interests.

AUTHOR CONTRIBUTIONS

K.W. K. contributed to the study design, interpretation of the analyzed data, and revised final manuscript. S.Y. J. collected and analyzed the data. J. H. K., B. K., J. Y. C., S. H. P., Y. J. C., K.T. J., and S.K. L. interpreted the data and drafted the manuscript.

ETHICS STATEMENT

This study was approved by the Institutional Review Board of Eulji University (EMC 2017‐10‐006) and adhered to the principles of the Declaration of Helsinki.
  34 in total

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Authors:  Matthew S Freiberg; Chung-Chou H Chang; Melissa Skanderson; Olga V Patterson; Scott L DuVall; Cynthia A Brandt; Kaku A So-Armah; Ramachandran S Vasan; Kris Ann Oursler; John Gottdiener; Stephen Gottlieb; David Leaf; Maria Rodriguez-Barradas; Russell P Tracy; Cynthia L Gibert; David Rimland; Roger J Bedimo; Sheldon T Brown; Matthew Bidwell Goetz; Alberta Warner; Kristina Crothers; Hilary A Tindle; Charles Alcorn; Justin M Bachmann; Amy C Justice; Adeel A Butt
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Authors:  Hude Quan; Vijaya Sundararajan; Patricia Halfon; Andrew Fong; Bernard Burnand; Jean-Christophe Luthi; L Duncan Saunders; Cynthia A Beck; Thomas E Feasby; William A Ghali
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Journal:  PLoS Negl Trop Dis       Date:  2015-08-14

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Authors:  Travis J Moss; James Forrest Calland; Kyle B Enfield; Diana C Gomez-Manjarres; Caroline Ruminski; John P DiMarco; Douglas E Lake; J Randall Moorman
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