Impact of baseline blood pressure on all-cause death in patients with atrial fibrillation: results from a multicenter registry study : Chinese Medical Journal

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Original Article

Impact of baseline blood pressure on all-cause death in patients with atrial fibrillation: results from a multicenter registry study

Xu, Wei1; Song, Qirui2; Zhang, Han1; Wang, Juan1; Shao, Xinghui1; Wu, Shuang1; Zhu, Jun1; Cai, Jun2; Yang, Yanmin1

Editor(s): Jia, Rongman; Hao, Xiuyuan

Author Information
Chinese Medical Journal ():10.1097/CM9.0000000000002627, March 14, 2023. | DOI: 10.1097/CM9.0000000000002627

Abstract

Introduction

Atrial fibrillation (AF), the most common arrhythmia, imposes a huge global public health burden.[1,2] Hypertension is the main risk factor for AF, and AF patients are often complicated by hypertension.[3] Among patients aged >75 years, the AF incidence is approximately 10%. As the population ages, the prevalence of these two diseases increases.[4] In addition to adhering to anticoagulant and symptom control therapies, the European Society of Cardiology (ESC) guidelines emphasized the importance of modifying cardiovascular risk factors, and hypertension is a major modifiable risk factor for AF.[5,6] Poor blood pressure (BP) control increases the risk of adverse outcomes in patients with AF.[7,8] Only the ESC guidelines for managing arterial hypertension considered patients with AF as a specific population and indicated that systolic blood pressure (SBP) level should not exceed 140 mmHg.[5] However, this is a class IIa recommendation, and the evidence is insufficient because of limited studies on this topic. The optimal BP goal for managing patients with AF is still vague. Therefore, this study aimed to explore the optimal BP for AF patients by evaluating the effect of the baseline BP on all-cause death in such patients.

Methods

Ethical approval

The study protocol was approved by the ethics committee of each center (Fuwai Hospital [2012-143]) and drafted in accordance with the Declaration of Helsinki. All participants provided signed informed consent.

Study design and population

This Chinese AF registry study conducted from 2008 to 2011 enrolled 2016 consecutive AF patients from 20 emergency centers (which were shown in supplementary materials, https://links.lww.com/CM9/B505) across China. The inclusion criteria were age >18 years and a diagnosis of AF by electrocardiogram during the preceding six months or on admission. As shown in Figure 1, 26 patients without detailed data were excluded, and 1990 subjects were included in the statistical analysis. Specific reasons for these patients visiting the emergency department was presented in Supplementary Table 1 (https://links.lww.com/CM9/B505). The brachial BP on admission was measured by physicians using electronic sphygmomanometers. The BP of all participants was measured for at least twice, and the average of the two measurements was recorded.

F1
Figure 1:
Flowchart of the study assessing the effect of the baseline BP on all-cause death in patients with AF. AF: Atrial fibrillation; BP: Blood pressure; DBP: Diastolic blood pressure; SBP: Systolic blood pressure.

Patients with AF were grouped based on SBP critical values as follows: ≤110 mmHg, >110 to ≤120 mmHg, >120 to ≤140 mmHg, >140 to ≤160 mmHg, and >160 mmHg. Cut-offs for the diastolic blood pressure (DBP) subgroups were as follows: <70 mmHg, ≥70 to <80 mmHg, ≥80 to <90 mmHg, and ≥90 mmHg.

Data collection

Demographics, BP on admission, heart rate on admission, and medications were all documented by electronic health records or by outpatient interviews of AF patients. Comorbidities on admission were also recorded, including hypertension, heart failure (HF), valvular heart disease, diabetes, coronary artery disease (CAD), myocardial infarction (MI), and stroke or transient ischemic attack (TIA). The CHADS2 score was calculated based on clinical guidelines.[9]

Follow-up and endpoints

All participants in this study were followed up for 1 year ± 1 month by physicians who were unaware of the protocol, either by telephone or in an outpatient interview. The primary endpoint of the study was all-cause death, which was defined as death from any causes. All participant deaths were confirmed by relatives, medical records, or physicians.

Statistical analysis

IBM SPSS Statistics version 26.0 (IBM Corp., Armonk, NY, USA) and R version 4.0.4 (R Foundation for Statistical Computing, Vienna, Austria) were used to conduct the statistical analyses. Continuous variables are described as mean ± standard deviation, or median with interquartile range, according to their distributions. Categorical variables are presented as number and percentage. The differences in continuous variables were compared using the one-way Analysis of Variance or Kruskal–Wallis tests when appropriate; categorical variables were compared by Pearson's chi-squared tests. Kaplan–Meier survival curves for all-cause death based on SBP or DBP subgroups were created and checked using log-rank tests. We checked the proportional hazards assumption for SBP and DBP subgroups by using the Schoenfeld residuals method. SBP and DBP subgroups were compliant with proportional hazards assumption. Then, we conducted multivariable Cox regression analyses to calculate hazard ratio (HR) and 95% confidence interval (CI) for all-cause death. Risk predictors, including age, body mass index (BMI), type of AF, HF, CAD, diabetes mellitus, aspirin, oral anticoagulants, digoxin, statins, diuretics, angiotensin-converting enzyme inhibitors (ACEIs), angiotensin receptor blockers (ARBs), calcium channel blockers (CCBs), and beta-blockers were adjusted in the multivariable Cox regression models. A restricted cubic spline was also conducted for the adjusted HRs, using the baseline SBP and DBP as continuous variables. Furthermore, subgroup analyses were conducted to evaluate the interactions and associations between the baseline BP and all-cause mortality in different subgroups, including age (<70 years or ≥70 years), gender, BMI (<25 kg/m2 or ≥25 kg/m2), prior hypertension history (with or without hypertension), CAD (with or without CAD), HF (with and without HF) and CHADS2 score (≤1 or ≥2) subgroups. All statistical analyses were two-tailed, and P values <0.05 were regarded statistically significant.

Results

Baseline characteristics

Baseline characteristics of the study subjects according to baseline SBP groups are presented in Table 1. Among the 1990 subjects, the median age was 71.0 years (60.0–78.0 years), and 45.0% (n = 896) were men. Patients with a higher baseline SBP were older and more likely to have a higher BMI and increased proportion of permanent AF. In addition, patients with a higher SBP tended to have comorbidities. In contrast, patients with the lowest SBP tended to have HF, and used more digoxin than other patients. Table 2 presents the clinical characteristics of patients with AF based on the baseline DBP groups. Those with a higher baseline DBP had a higher BMI. However, the distribution of AF types according to the baseline DBP stratification was not significantly different. Notably, the highest DBP group (DBP ≥90 mmHg) and the lowest DBP group (DBP <70 mmHg) tended to have more comorbidities, including HF, CAD, and MI.

Table 1 - Clinical characteristics of patients with AF divided by baseline SBP.
Items SBP ≤110 mmHg (n = 410) 110 < SBP ≤ 120 mmHg (n = 350) 120 < SBP ≤ 140 mmHg (n = 648) 140 < SBP ≤ 160 mmHg (n = 393) SBP > 160 mmHg (n = 189) χ 2 value P-values
Age (years) 62.8 ± 15.0 67.0 ± 13.9 69.1 ± 12.4 72.0 ± 10.6 73.8 ± 11.0 <0.001
Male 175 (42.7) 171 (48.9) 284 (43.8) 181 (46.1) 85 (45.0) 3.569 0.467
BMI (kg/m2) 23.0 ± 3.7 23.2 ± 3.7 23.8 ± 3.6 23.8 ± 3.3 23.8 ± 3.5 <0.001
HR (beat/min) 103 ± 31 102 ± 29 100 ± 29 102 ± 29 103 ± 29 0.652
AF type 17.447 0.026
 Paroxysmal 88 (21.5) 93 (26.6) 147 (22.7) 83 (21.1) 38 (20.1)
 Persistent 147 (35.9) 108 (30.9) 192 (29.6) 116 (29.5) 45 (23.8)
 Permanent 175 (42.7) 149 (42.6) 309 (47.7) 194 (49.4) 106 (56.1)
CHADS2 score 185.228 <0.001
 0 109 (26.6) 87 (24.9) 86 (13.3) 31 (7.9) 7 (3.7)
 1 161 (39.3) 110 (31.4) 212 (32.7) 106 (27.0) 35 (18.5)
 2 68 (16.6) 82 (23.4) 152 (23.5) 102 (26.0) 62 (32.8)
 3 43 (10.5) 40 (11.4) 109 (16.8) 77 (19.6) 47 (24.9)
 4 18 (4.4) 19 (5.4) 61 (9.4) 50 (12.7) 23 (12.2)
 5 9 (2.2) 12 (3.4) 22 (3.4) 24 (6.1) 12 (6.3)
 6 2 (0.5) 0 (0) 6 (0.9) 3 (0.8) 3 (1.6)
Medical history
 Hypertension 114 (27.8) 141 (40.3) 391 (60.3) 309 (78.6) 155 (82.0) 305.492 <0.001
 HF 185 (45.1) 121 (34.6) 229 (35.3) 125 (31.8) 84 (44.4) 22.074 <0.001
 CAD 126 (30.7) 108 (30.9) 278 (42.9) 225 (57.3) 98 (51.9) 84.507 <0.001
 MI 30 (7.3) 16 (4.6) 51 (7.9) 30 (7.6) 20 (10.6) 7.135 0.129
 Diabetes mellitus 47 (11.5) 38 (10.9) 99 (15.3) 81 (20.6) 44 (23.3) 27.546 <0.01
 Valvular heart disease 76 (18.5) 121 (34.6) 85 (13.1) 29 (7.4) 22 (11.6) 88.366 <0.001
 Stroke/TIA 53 (12.9) 54 (15.4) 133 (20.5) 91 (23.2) 43 (22.8) 19.954 0.001
Medications
 Oral anticoagulants 96 (23.4) 65 (18.6) 94 (14.5) 59 (15.0) 21 (11.1) 21.297 <0.001
 Aspirin 199 (48.5) 185 (52.9) 369 (56.9) 232 (59.0) 107 (56.6) 11.323 0.023
 Digoxin 155 (37.8) 124 (35.4) 182 (28.1) 94 (23.9) 54 (28.6) 24.419 <0.001
 Amiodarone 38 (9.3) 38 (10.9) 49 (7.6) 45 (11.5) 21 (11.1) 5.840 0.211
 Statin 67 (16.3) 58 (16.6) 159 (24.5) 135 (34.4) 57 (30.2) 51.002 <0.001
 ACEI 68 (16.6) 78 (22.3) 152 (23.5) 107 (27.2) 53 (28.0) 16.373 0.003
 ARB 39 (9.5) 45 (12.9) 114 (17.6) 85 (21.6) 35 (18.5) 26.818 <0.001
 Beta-blockers 164 (40.0) 149 (42.6) 299 (46.1) 186 (47.3) 76 (40.2) 7.024 0.135
 CCB 47 (11.5) 54 (15.4) 164 (25.3) 128 (32.6) 68 (36.0) 81.948 <0.001
 Diuretics 182 (44.4) 133 (38.0) 244 (37.7) 134 (34.1) 74 (39.2) 9.487 0.050
Data are expressed as n (%) or mean ± standard deviation. ACEI: Angiotensin-converting enzyme inhibitor; AF: Atrial fibrillation; ARB: Angiotensin II receptor blocker; BMI: Body mass index values; CAD: Coronary artery disease; CCB: Calcium channel blocker; DBP: Diastolic blood pressure; HF: Heart failure; HR: Heart rate; MI: Myocardial infarction; SBP: Systolic blood pressure; TIA: Transient ischemic attack; –: Not available.

Table 2 - Clinical characteristics of patients with AF divided by baseline DBP.
Items DBP <70 mmHg (n = 364) 70 ≤ DBP <80 mmHg (n = 507) 80 ≤ DBP <90 mmHg (n = 595) DBP ≥ 90 mmHg (n = 524) χ 2 value P values
Age (years) 68.6 ± 15.2 67.0 ± 13.9 68.9 ± 12.8 69.3 ± 11.6 0.022
Male 148 (40.7) 234 (46.2) 272 (45.7) 242 (46.2) 3.312 0.346
BMI (kg/m2) 22.6 ± 3.6 23.4 ± 3.4 23.6 ± 3.7 24.2 ± 3.6 <0.001
HR (beat/min) 99 ± 31 99 ± 30 100 ± 27 108 ± 28 <0.001
AF type 8.841 0.183
 Paroxysmal 77 (21.2) 128 (25.2) 129 (21.7) 115 (21.9)
 Persistent 118 (32.4) 154 (30.4) 195 (32.8) 141 (26.9)
 Permanent 169 (46.4) 225 (44.4) 271 (45.5) 268 (51.1)
CHADS2 score 56.633 <0.001
 0 66 (18.1) 106 (20.9) 99 (16.6) 49 (9.4)
 1 108 (29.7) 171 (33.7) 198 (33.3) 147 (28.1)
 2 86 (23.6) 106 (20.9) 133 (22.4) 141 (26.9)
 3 50 (13.74) 66 (13.02) 89 (15.0) 111 (21.2)
 4 39 (10.7) 36 (7.1) 47 (7.9) 49 (9.4)
 5 14 (3.8) 21 (4.1) 25 (4.2) 19 (3.6)
 6 1 (0.3) 1 (0.2) 4 (0.7) 8 (1.5)
Medical history
 Hypertension 157 (43.1) 229 (45.2) 339 (57.0) 385 (73.5) 113.605 <0.001
 HF 153 (42.0) 189 (37.3) 191 (32.1) 211 (40.3) 12.318 0.006
 CAD 153 (42.0) 195 (38.5) 232 (39.0) 255 (48.7) 14.372 0.002
 MI 35 (9.6) 37 (7.3) 28 (4.7) 47 (9.0) 10.818 0.013
 Diabetes mellitus 54 (14.8) 66 (13.0) 89 (15.0) 100 (19.1) 7.710 0.052
 Valvular heart disease 78 (21.4) 96 (18.9) 98 (16.5) 61 (11.6) 17.353 0.001
 Stroke/TIA 70 (19.2) 89 (17.6) 112 (18.8) 103 (19.7) 0.812 0.847
Medications
 Oral anticoagulants 61 (16.8) 90 (17.8) 112 (18.8) 72 (13.7) 5.570 0.134
 Aspirin 185 (50.8) 273 (53.8) 320 (53.8) 314 (59.9) 8.310 0.040
 Digoxin 112 (30.8) 161 (31.8) 180 (30.3) 156 (29.8) 0.527 0.913
 Amiodarone 29 (8.0) 45 (8.9) 54 (9.1) 63 (12.0) 5.159 0.161
 Statin 78 (21.4) 108 (21.3) 134 (22.5) 156 (29.8) 13.649 0.003
 ACEI 56 (15.4) 115 (22.7) 131 (22.0) 156 (29.8) 25.826 <0.001
 ARB 55 (15.1) 63 (12.4) 101 (17.0) 99 (18.9) 8.725 0.033
 Beta-blockers 147 (40.4) 221 (43.6) 261 (43.9) 245 (46.8) 3.581 0.310
 CCB 80 (22.0) 102 (20.1) 135 (22.7) 144 (27.5) 8.492 0.037
 Diuretics 140 (38.5) 204 (40.2) 207 (34.8) 216 (41.2) 5.740 0.125
Data are expressed as n (%) or mean ± standard deviation. ACEI: Angiotensin-converting enzyme inhibitor; AF: Atrial fibrillation; ARB: Angiotensin II receptor blocker; BMI: Body mass index values; CAD: Coronary artery disease; CCB: Calcium channel blocker; DBP: Diastolic blood pressure; HF: Heart failure; HR: Heart rate; MI: Myocardial infarction; SBP: Systolic blood pressure; TIA: Transient ischemic attack; –: Not available.

Clinical outcomes

During the 1-year follow-up period, 24 (1.1%) patients were lost to follow-up, and 276 (13.9%) all-cause deaths occurred. In Figure 2, Kaplan–Meier curves compared by the log-rank test illustrate the all-cause mortality based on the baseline SBP [Figure 2A] and DBP [Figure 2B] groups. The SBP group with an SBP between 110 mmHg and 120 mmHg had the lowest risk of all-cause death. In contrast, an SBP ≤110 mmHg or >160 mmHg was associated with an elevated risk of all-cause death (P = 0.014). On the other hand, the groups with a baseline DBP of 70 to 80 mmHg or 80 to 90 mmHg were associated with a lower risk of all-cause death, while the group with DBP <70 mmHg was associated with the highest risk of all-cause death (P = 0.002).

F2
Figure 2:
Kaplan–Meier analysis according to baseline (A) SBP and (B) DBP groups for all-cause death. DBP: Diastolic blood pressure; SBP: Systolic blood pressure.

The multivariable Cox regression model was performed for all-cause death [Figure 3], which was adjusted for confounders, including gender, age, BMI, type of AF, HF, CAD, diabetes mellitus, prior stroke/TIA, aspirin, oral anticoagulants, digoxin, statin, diuretics, beta-blockers, ACEIs, ARBs, and CCBs. An SBP group of >110 mmHg to ≤120 mmHg was defined as the reference [Figure 3A]. Compared with the reference, the risk of all-cause death was increased in groups with an SBP ≤110 mmHg (HR, 1.963; 95% CI, 1.306–2.951), >120 mmHg to ≤140 mmHg (HR, 1.098; 95% CI, 0.736–1.639), >140 mmHg to ≤160 mmHg (HR, 1.417; 95% CI, 0.934–2.150), and >160 mmHg (HR, 1.187; 95% CI, 0.731–1.927). For DBP [Figure 3B], the group with a baseline DBP of 80 to 90 mmHg was used as a reference. The risk of all-cause mortality was higher in groups with DBP <70 mmHg (HR, 1.628; 95% CI, 1.163–2.281), ≥70 mmHg to <80 mmHg (HR, 1.255; 95% CI, 0.894–1.762), and ≥90 mmHg (HR, 1.194; 95% CI, 0.851–1.677).

F3
Figure 3:
Multivariable Cox regression for all-cause death and baseline (A) SBP and (B) DBP. The analyses were adjusted for age, gender, BMI, type of AF, HF, CAD, diabetes mellitus, prior stroke/TIA, aspirin, oral anticoagulants, digoxin, statins, diuretics, beta-blockers, ACEIs, ARBs, and CCBs. ACEIs: Angiotensin-converting enzyme inhibitor; AF: Atrial fibrillation; ARBs: Angiotensin receptor blockers; BMI: Body mass index; CAD: Coronary artery disease; CCBs: Calcium channel blockers; CI: Confidence interval; DBP: Diastolic blood pressure; HF: Heart failure; HR: Hazard ratio; SBP: Systolic blood pressure; TIA: Transient ischemic attack.

According to the restricted cubic splines for the adjusted HR of all-cause death [Figure 4], the associations between the baseline SBP [Figure 4A] or DBP [Figure 4B] and all-cause death showed J-shaped associations (non-linear P < 0.001 and non-linear P = 0.010, respectively). The risk of all-cause death notably increased at a lower baseline SBP and DBP. The baseline SBP and DBP values associated with the lowest risk of all-cause mortality were 120 mmHg and 80 mmHg, respectively.

F4
Figure 4:
Restricted cubic splines for adjusted HRs for all-cause death and baseline (A) SBP and (B) DBP. The shaded areas indicate 95% Cis. The analyses were adjusted for age, gender, BMI, type of AF, HF, prior stroke/TIA, CAD, diabetes mellitus, aspirin, oral anticoagulants, digoxin, statins, diuretics, beta-blockers, ACEIs, ARBs, and CCBs. ACEIs: Angiotensin-converting enzyme inhibitor; AF: Atrial fibrillation; ARBs: Angiotensin receptor blockers; BMI: Body mass index; CAD: Coronary artery disease; CCBs: Calcium channel blockers; Cis: Confidence intervals; DBP: Diastolic blood pressure; HF: Heart failure; HRs: Hazard ratios; SBP: Systolic blood pressure; TIA: Transient ischemic attack.

Subgroup analyses [Supplementary Figures 1 and 2, https://links.lww.com/CM9/B505] showed no significant interactions of the baseline BP (SBP or DBP) with age, gender, BMI, hypertension history, CAD, HF, or CHADS2 score (all P for interaction >0.05). DBP <80 mmHg was associated with a higher risk of all-cause death, especially among those with HF (P for interaction = 0.038).

Discussion

This study showed that the Chinese cohort of AF had a high prevalence of hypertension. A J-shaped association was observed between the BP (SBP and DBP) and all-cause death in AF patients. Additionally, our results demonstrated a significantly higher risk of all-cause death in those with SBP ≤110 mmHg and DBP <70 mmHg. These findings imply that an excessively low SBP and DBP might be associated with a higher risk of all-cause death in patients with AF. This relationship was consistent in important clinical subgroups, including those considering age, gender, BMI, hypertension history, CAD, and CHADS2 score.

Hypertension is considered a major risk factor for all-cause death in the general population[10,11] and patients with AF.[12] Moreover, hypertension is also an independent predictor of AF.[13] The mechanisms underlying the development of hypertension in AF remain unclear. A potential explanation is related to left atrial remodeling characterized by left atrial enlargement due to hypertension.[14,15] According to previous studies, uncontrolled BP leads to the recurrence and enhances the risk of stroke or bleeding in AF patients.[16-18] In addition to adherence to anticoagulation therapy, ESC guidelines have highlighted the importance of modifying risk factors, including BP management.[6] However, the optimal SBP level for a greater reduction in adverse events is still a concern. The current American Heart Association hypertension guidelines recommend tight control of SBP to <130 mmHg,[19] while ESC guidelines recommend targeting SBP <140 mmHg.[20] The Systolic Blood Pressure Intervention Trial research group[21] reported that a stricter SBP management of <120 mmHg was related to further reduction in adverse event rates. A recent publication of the Strategy of Blood Pressure Intervention in the Elderly Hypertensive Patients trial in China suggested that intensive SBP control of <130 mmHg further reduced cardiovascular events.[22] However, few studies have focused on the ideal BP threshold for the AF population.

Our study indicated that AF patients with a baseline SBP ≤ 110 mmHg had a 1.9-fold higher risk of all-cause mortality than those with a baseline SBP of 110 to 120 mmHg. Consistent with our study, previous studies also suggested that a lower SBP was related to a higher risk of all-cause mortality in AF patients.[7,23-25] Results of a study among patients with AF also found a J-curve effect between SBP and death rates, suggesting that an average SBP of 120 to 140 mmHg had the lowest risk.[26] Our results showed a similar J-curve trend between SBP and all-cause mortality; however, the present study subdivided patients with SBP <120 mmHg and suggested that a lower SBP (≤ 110 mmHg) led to an almost two fold risk compared with an SBP of 110 to 120 mmHg. A J-curve relationship between DBP and death has been previously reported in the AF population who received oral anticoagulant therapy.[23] A post hoc analysis of patients enrolled in the AF Follow-up Investigation of Rhythm Management (AFFIRM) trial suggested that the incidence of all-cause mortality was lowest when the DBP was 78 mmHg, and pharmacologic therapy to treat AF such as medications for rate or rhythm control, may be associated with the risk of all-cause mortality when DBP is reduced to <60 mmHg.[7] Consistently, non-linear Cox proportional hazards model in our study show that a DBP of 80 mmHg led to the lowest death rate and a baseline DBP of <70 mmHg has a significantly increased risk of all-cause mortality in a Chinese cohort. Therefore, when the baseline SBP is <110 mmHg or the DBP is <70 mmHg in patients with AF, clinicians should be more cautious.

The relationship between low BPs and a high risk of death seems complex. Low BPs often represent frail conditions and tissue hypoperfusion, which are more likely to be associated with a worse prognosis.[27] A potential reason may be that patients with a lower SBP tend to have HF, which is associated with a hypercoagulable state and higher risk of cardiovascular events.[23,28,29] A low SBP is a marker of worse cardiac function, leading to higher mortality.[27] A recent study also found that the use of digoxin was associated with a higher risk of all-cause death in elderly patients with AF.[30] In the present study, AF patients with the lowest SBP (≤110 mmHg) tended to have HF and used digoxin more often, and the rates of using ACEIs or ARBs were lower compared with those in other groups. An excessively low SBP might limit the number of patients receiving ACEI or ARB therapy in clinical practice. Patients with AF may benefit from ACEI or ARB therapy for a better prognosis and reduced mortality.[31,32] However, after adjusting for HF, ACEIs, ARBs, and other potential risk factors and medications in the multivariable Cox regression model, an SBP ≤110 mmHg was still related to the highest mortality risk. The following is the potential explanation for the relationship between low DBP levels and mortality. A lower DBP was associated with reduced coronary blood flow to the myocardial and subendocardial layers in AF patients with restricted coronary reserves.[33,34] The hypoperfusion in the coronary artery might cause ventricular ischemia, leading to more cardiovascular death.[27,35] In our multivariable Cox regression analysis, after adjusting for variables, including CAD, the group with DBP <70 mmHg was still related to the highest risk of all-cause death. Furthermore, we conducted subgroup analyses in CAD, and the results in AF patients with and without CAD remained consistent with the main findings. In addition, previous studies have shown that inflammation plays important roles in both AF and hypertension,[36,37] and inflammatory biomarkers might be novel drug targets for BP control among patients with AF.

It should be mentioned that this study had some limitations. First, although this study was a multicenter registry study, it only included the Chinese population, which was comprised mainly of elderly patients from the emergency department. In addition, only one BP measurement on admission was recorded in the emergency department, which may not accurately reflect the BP during the follow-up. Therefore, our results should be carefully interpreted. In addition, this was an observational study without randomization, and systematic bias might have influenced the results. We cannot infer a causal relationship between low BP and the risk of mortality. Large-scale randomized clinical trials are needed to verify the findings. Moreover, the rate of oral anticoagulants’ use was not ideal in this study because the database used in this study was completed in 2011, and the 20 sub-centers included in this study possessed different medical healthcare levels, from rural to urban, across China. However, this study, based on real-world data, might provide new evidence for ideal BP management in the AF population.

In conclusion, according to our results, SBP ≤10 mmHg or DBP <70 mmHg in patients with AF was associated with a significantly elevated risk of all-cause mortality. An excessively low BP may be a risk for patients with AF.

Funding

This work was supported by Capital's Funds for Research and Application of Clinical Diagnosis and Treatment Technology (Z191100006619121), and High-level Hospital Clinical Research Funds (2022-GSP-GG-26).

Conflicts of interest

None.

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Keywords:

All-cause death; All-cause mortality; Atrial fibrillation; Blood pressure; Diastolic blood pressure; Hypertension; Systolic blood pressure

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