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Journal of the Chinese Medical Association : JCMA logoLink to Journal of the Chinese Medical Association : JCMA
. 2026 Apr 17;89(5):364–377. doi: 10.1097/JCMA.0000000000001381

Chinese herbal medicine and acupuncture reduce mortality after intracerebral hemorrhage

Dai-Ying Lin a,b,c, Ming-Jen Wang d,e, Ying-Hsiu Shih f,g, Chiu-Lin Tsai h, Yow-Wen Hsieh i,j, Fuu-Jen Tsai k,l,m,n, Hsien-Yin Liao o,p,*, Ching-Mao Chang e,q,*
PMCID: PMC13193293  PMID: 41992422

Abstract

Background:

Intracerebral hemorrhage (ICH) is the second most common stroke worldwide and is associated with high mortality rates. Despite established guidelines for ICH treatment, the prognosis of ICH remains poor. Traditional Chinese Medicine (TCM), including Chinese herbal medicine (CHM) and acupuncture, has been used as a complementary therapy; however, its long-term survival benefits remain uncertain.

Methods:

This study aimed to evaluate the effectiveness of TCM, including CHM and acupuncture, in reducing mortality among patients with ICH, using data from Taiwan’s National Health Insurance Research Database. This retrospective cohort study analyzed patients with ICH (ICD-9-CM: 430-432; ICD-10-CM: I60-I62) between 2000 and 2018. Patients who received TCM or acupuncture (≥2 outpatient or ≥1 inpatient visits) were matched 1:1 with non-TCM patients based on age, sex, urbanization, and income. Mortality was the primary outcome, analyzed using Cox proportional hazards models.

Results:

Among 6450 patients (3225 TCM; 3225 control), TCM, including CHM and acupuncture, was significantly associated with reduced all-cause mortality in patients with ICH (adjusted hazard ratio [aHR] = 0.42; 95% CI, 0.39-0.46; p < 0.001), with CHM alone showing aHR = 0.40 (95% CI, 0.35-0.45; p < 0.001) and CHM combined with acupuncture showing aHR = 0.43 (95% CI, 0.39-0.47; p < 0.001) compared with non-TCM users. Among the top 10 single herbs used, Di-Long exhibited the greatest reduction in mortality risk (aHR = 0.36; 95% CI, 0.28-0.47; p < 0.001). Among formulas, Xue-Fu-Zhu-Yu-Tang and Chai-Hu-Jia-Long-Gu-Mu-Li-Tang demonstrated the strongest protective associations with mortality (aHR = 0.35; p < 0.001). Network core pattern analysis identified the key components of treatment, including Bu-Yang-Huan-Wu-Tang, Yuan-Zhi, Shi-Chang-Pu, Tian-Ma, and Gou-Teng. Acupuncture exhibited a similar dose–response effect, with mortality risk decreasing progressively with more sessions (aHR: for ≥18 sessions: 0.45; 95% CI, 0.40-0.49; p < 0.001).

Conclusion:

CHM and acupuncture are associated with lower mortality in patients with ICH. Further research is needed to confirm these findings and explore the underlying mechanisms.

Keywords: Acupuncture, Chinese herbal medicine, Death rate, Intracerebral hemorrhage, Traditional Chinese Medicine


Lay Summary: Intracerebral hemorrhage (ICH) is a severe type of stroke characterized by high mortality and disability rates. This study used Taiwan’s National Health Insurance database to examine whether 3225 patients with ICH who received traditional Chinese medicine, including Chinese herbal medicines and acupuncture, had improved survival outcomes. Our analysis showed that patients who received traditional Chinese medicine had a significantly lower risk of death than those who did not. Importantly, both Chinese herbal medicine alone and combined with acupuncture were associated with improved survival. These findings suggest that traditional Chinese medicine may be a valuable complementary care option for patients with ICH. When used alongside conventional medical treatment, it may help improve long-term outcomes and overall survival in these patients.


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1. INTRODUCTION

Intracerebral hemorrhage (ICH) is the second most common type of stroke; it affects up to 2 million people worldwide annually.1 The mortality rate of ICH is significantly higher than that of ischemic stroke.2 Although the prevalence rate of ICH has decreased dramatically based on records collected between 2000 and 2010, the fatality, short-term mortality, long-term disability, and the huge medical expenses are still unchanged.3 According to the American Heart Association guideline for ICH management, pre-hospital care, early intensive blood pressure–lowering treatment, and intracranial pressure monitoring are crucial for treating ICH.4 Despite clear and verified guidelines for treating ICH, the 30-day mortality in patients with ICH is up to 40%.2 The recurrence rate of ICH and intraventricular hemorrhage is approximately 45%, leading to its poor outcomes.5,6

Traditional Chinese Medicine (TCM), which includes Chinese herbal medicine (CHM) and acupuncture, has been used as a complementary therapy for ICH for many years.7 Previous research suggests that CHM can improve neurological function8 and promote hematoma absorption9 in patients with primary ICH.7,10 Acupuncture has been shown to enhance functional recovery and improve the quality of life in ICH survivors.11,12 However, randomized controlled trials have yielded conflicting results, with some failing to demonstrate significant reductions in mortality or rebleeding tendencies.10,13,14 Therefore, the long-term survival benefits of combining CHM and acupuncture with conventional ICH treatments remain uncertain.15,16

Given the potential of TCM to complement conventional ICH management and the inconsistent findings of previous studies, large-scale population–based research is needed to better understand its effects on survival outcomes. To address this gap, we conducted a retrospective cohort study using data from the Taiwan National Health Insurance Research Database (NHIRD) spanning from 2000 to 2018. Our study aimed to determine whether the addition of CHM and acupuncture to conventional treatments could reduce the risk of death in patients with ICH.

2. METHODS

2.1. Data source

All data were obtained from the NHIRD, a comprehensive claims database established through Taiwan’s National Health Insurance (NHI) program that has covered over 99.5% of Taiwan’s population since its inception in 1995. The NHIRD includes detailed information on patient demographics, such as sex and date of birth, as well as data on clinic visit dates, drug prescriptions, and diagnostic codes following the International Classification of Diseases, 9th and 10th Revisions, Clinical Modification (ICD-9-CM and ICD-10-CM). This study used the Longitudinal Generation Tracking Database (LGTD 2000), which contains the data of two million subjects randomly selected from the NHIRD.

2.2. Standard protocol approvals, registrations, and patient consents

This retrospective study did not violate ethical standards and was approved by the Central Regional Research Ethics Committee of China Medical University, Taichung, Taiwan (CMUH110-REC1-038(CR-3)). Additionally, all patients aged <20 years were excluded based on the enrollment criteria. All methods used in this study adhered to the relevant guidelines and regulations. Informed patient consent was not required to access the NHIRD, as the data provided were deidentified demographic and clinical information.

2.3. Study population and matching

We used a random sample database of two million beneficiaries, representing approximately 8.6% of Taiwan’s population, drawn from the NHIRD. This cohort included patients newly diagnosed with ICH between 2000 and 2018, identified using ICD-9-CM codes 430-432 and ICD-10-CM codes I60-I62. The index date for each patient was defined as the date of first ICH diagnosis. Patients were classified as receiving CHM or acupuncture if they had at least two outpatient visits or one inpatient visit recorded for these treatments. The primary outcome was defined as mortality, cancellation of insurance coverage, or the end of 2019 (December 31, 2019), whichever occurred first.

To ensure comparability, patients with ICH treated with or without CHM were matched 1:1 based on sex, age, urbanization level, and income. The following comorbidities were also analyzed: diabetes (ICD-9-CM: 250; ICD-10-CM: E08-E13), hypertension (ICD-9-CM: 401-405; ICD-10-CM: I10-I15), hyperlipidemia (ICD-9-CM: 272; ICD-10-CM: E78), Parkinson disease (ICD-9-CM:332; ICD-10-CM: G20, G21), dementia (ICD-9-CM: 290, 294, 331; ICD-10-CM: F00-F03, F05, G30, G31), coronary artery disease (ICD-9-CM: 410-414; ICD-10-CM: I20-I25), and hemodialysis (National Health Insurance Procedure Code 58001C, 58019C, 58020C, 58021C, 58022C, 58023C, 58024C, 58025C, 58027C, 58029C). Additionally, we analyzed specific interventions, including the removal of epidural hematoma and the use of hypoglycemic drugs, antihypertensive drugs, lipid-lowering agents, and anticoagulants.

Among the patients identified as receiving TCM following a diagnosis of ICH, 3229 individuals were initially eligible. However, four cases were excluded due to missing key covariate information required for matching, including incomplete data on income, residential urbanization level, or catastrophic illness certification. After excluding these cases, 3225 TCM users remained. These patients were then matched 1:1 with non-TCM users using propensity score matching based on age, sex, urbanization level, and income to ensure comparability between the groups. The flow of participant selection and matching is illustrated in Fig. 1.

Fig. 1.

Fig. 1

Flowchart of participant selection in the intracerebral hemorrhage cohort. A total of 3225 patients who received TCM and 3225 patients who did not receive TCM were included after 1:1 matching by age, sex, urbanization level, and income. CHM = Chinese herbal medicine; ICH = intracerebral hemorrhage; TCM = Traditional Chinese Medicine.

2.4. Network analysis

We used the open-source tool NodeXL (https://nodexl.com/) to identify primary patterns of CHM use for treating ICH, following the methodology derived from our previous research.17-19 Each selected CHM combination was included in the network analysis. In the resulting network diagram, connections between a CHM and its associated prescriptions were represented by lines of varying thicknesses (from 1 to 5), with thicker lines indicating more common prescription patterns. This approach highlighted the predominant trends in CHM prescriptions aimed at protecting against ICH.

2.5. Statistical analyses

Descriptive statistics were used to summarize baseline characteristics, with categorical variables presented as frequencies and percentages and continuous variables as means with standard deviations. Between-group comparisons were performed using chi-square tests for categorical variables and independent-sample t tests for continuous variables. Both univariate and multivariate Cox proportional hazards models were used to evaluate the association between TCM interventions and mortality. Adjusted hazard ratios (aHRs) with 95% CIs were reported. The multivariate models were adjusted for age, sex, comorbidities, medication use, and interval between the initial diagnosis of ICH and the first use of CHM or acupuncture to mitigate immortal time bias. Kaplan–Meier survival curves were generated to visualize the cumulative incidence of all-cause mortality, and differences between the groups were assessed using the log-rank test. Statistical significance was set at a two-tailed p value <0.05.

All analyses were conducted using SAS software version 9.4 (SAS Institute, Cary, NC), and the “survival” and “survminer” packages in R were used for survival modeling and graphical representation.

3. RESULTS

3.1. No significant difference in baseline characteristics between the TCM and the control group with respect to ICH

Based on data from the NHIRD, 43 378 patients with ICH events between 2000 and 2018 were included in this study (Fig. 1). After a 1:1 matching process, 3225 patients were included in the ICH with TCM group, and 3225 in the ICH without TCM group. The mean age in the stroke without TCM group was 59.9 ± 14.6 years, and 60.1 ± 14.5 years in the stroke with TCM group, with no statistically significant difference between the two groups (p = 0.715). The stroke without TCM group comprised 2114 men (65.55%) and 1111 women (34.45%), whereas the stroke with TCM group included 2122 men (65.8%) and 1103 women (34.2%), with no significant difference in sex distribution (p = 0.834). The baseline characteristics, including age, urbanization level, and monthly income, were balanced between the two groups. Common comorbidities, such as diabetes, hypertension, hyperlipidemia, Parkinson’s disease, dementia, epilepsy, cardiovascular disease, and hemodialysis, as well as medical interventions, such as hematoma removal and anticoagulant use, were also considered. The results revealed no significant differences in the baseline characteristics between the ICH with and without TCM groups (Table 1).

Table 1.

Comparison of baseline characteristics and in intracerebral hemorrhage without TCM and with TCM cohorts

Stroke without TCM
(N = 3225)
Stroke with TCM
(N = 3225)
N % N % p
Sex 0.834
 Female 1111 34.45 1103 34.2
 Male 2114 65.55 2122 65.8
Age 0.954
 19-39 331 10.26 324 10.05
 40-59 1274 39.5 1273 39.47
 >59 1620 50.23 1628 50.48
 Mean (SD) 59.9 14.6 60.1 14.5 0.715
Urbanization 0.955
 Low 479 15.00 482 15.00
 Medium 1093 33.89 1073 33.27
 High 1653 51.26 1670 51.78
Monthly income, NTD 0.463
 <20 000 2051 63.6 2091 64.84
 20 000-40 000 744 23.07 734 22.76
 >40 000 430 13.33 400 12.4
 Mean (SD) 21 207 14 490 21 174 14 069 0.927
Comorbidities
 Diabetes 966 29.95 956 29.64 0.785
 Hypertension 2517 78.05 2508 77.77 0.787
 Hyperlipidemia 1143 35.44 1103 34.2 0.296
 Parkinson’s disease 173 5.36 166 5.15 0.696
 Dementia 840 26.05 864 26.79 0.498
 Epilepsy 422 13.09 407 12.62 0.577
 Cardiovascular disease 660 20.47 625 19.38 0.275
 Hemodialysis 56 1.74 46 1.43 0.318
Intervention
 No removal of epidural hematoma 121 3.75 63 1.95 <0.001
 Hypoglycemic drugs 1388 43.04 1366 42.36 0.58
 Antihypertensive drug 2855 88.53 2857 88.59 0.938
 Hypolipidemic agents 1460 45.27 1437 44.56 0.565
 Anticoagulant 258 8 249 7.72 0.677
Time from index date to first TCM use, mean (SD), y 1.73 2.30 1.65 2.74 0.199

TCM = Traditional Chinese Medicine.

3.2. Risk factors for death

TCM use was associated with a significantly reduced incidence of death in stroke patients, with an aHR of 0.42 (95% CI, 0.39-0.46; p < 0.001), as shown in Table 2. This finding suggests that integrating TCM into standard care may substantially lower the mortality risk following ICH (Fig. 2). Among patients not receiving TCM, male patients exhibited a higher mortality risk compared to women (aHR, 1.29; 95% CI, 1.18-1.40; p < 0.001), indicating that sex is an independent factor influencing outcomes. Age is also a key determinant of mortality. Compared to the youngest group (20-40 years), patients aged 41 to 60 had a 2.50-fold higher risk of death (aHR, 2.50; 95% CI, 2.07-3.03; p < 0.001), while those over 60 had a 5.15-fold higher risk (aHR, 5.15; 95% CI, 4.26-6.23; p < 0.001), underscoring the critical impact of age on prognosis. Urbanization levels showed no statistically significant association with mortality after adjustment (all p > 0.05). In contrast, patients with higher monthly income (>40 000 NTD) had a significantly lower risk of death (aHR, 0.81; 95% CI, 0.72-0.92; p = 0.001), suggesting a protective effect of socioeconomic status. Comorbidities including diabetes (aHR, 1.52; 95% CI, 1.38-1.68; p < 0.001), hypertension (aHR, 1.11; 95% CI, 1.00-1.23; p = 0.048), dementia (aHR, 1.17; 95% CI, 1.07-1.27; p < 0.001), epilepsy (aHR, 1.15; 95% CI, 1.02-1.29; p = 0.02), and hemodialysis (aHR, 2.33; 95% CI, 1.83-2.96; p < 0.001) were all significantly associated with increased mortality (p < 0.05). Notably, Parkinson’s disease and cardiovascular disease were not statistically significant after adjustment. Among therapeutic interventions, the use of antihypertensive agents (aHR, 0.39; 95% CI, 0.34-0.44; p < 0.001) and hypolipidemic agents (aHR, 0.35; 95% CI, 0.32-0.39; p < 0.001) was associated with a markedly lower risk of death. While hypoglycemic agents were associated with slightly elevated risk (aHR, 1.15; 95% CI, 1.05-1.26; p = 0.002), anticoagulant use did not reach statistical significance (aHR, 0.88; 95% CI, 0.77-1.02; p = 0.082).

Table 2.

Multivariable analysis of mortality risk factors in patients with intracerebral hemorrhage

Death
Variables N PY IR cHR (95% CI) p aHR (95% CI) p
Stroke without TCM 1519 11 921 127.42 1 (reference) - 1 (reference) -
Stroke with TCM 1080 18 375 58.78 0.51 (0.47-0.55) <0.001 0.42 (0.39-0.46) <0.001
Gender
 Female 868 10 686 81.23 1 (reference) - 1 (reference) -
 Male 1731 19 610 88.27 1.08 (0.99-1.17) 0.081 1.29 (1.18-1.4) <0.001
Age, y
 20-40 135 4214 32.04 1 (reference) - 1 (reference) -
 41-60 755 13 358 56.52 1.69 (1.41-2.03) <0.001 2.5 (2.07-3.03) <0.001
 >60 1709 12 725 134.3 3.75 (3.15-4.48) <0.001 5.15 (4.26-6.23) <0.001
Urbanization
 Low 244 2517 96.93 1 (reference) - 1 (reference) -
 Medium 896 9496 94.35 0.96 (0.83-1.1) 0.525 1.03 (0.9-1.19) 0.641
 High 1287 16 192 79.48 0.83 (0.72-0.95) 0.007 0.96 (0.84-1.1) 0.558
 Other 172 2090 82.28 0.86 (0.71-1.05) 0.135 1.09 (0.9-1.33) 0.379
Monthly income, NTD
 <20 000 1762 19 518 90.27 1 (reference) - 1 (reference) -
 20 000-40 000 551 6903 79.82 0.88 (0.8-0.97) 0.009 0.95 (0.86-1.05) 0.308
 >40 000 286 3875 73.8 0.81 (0.72-0.92) 0.001 0.81 (0.72-0.92) 0.001
Comorbidities
 Diabetes 905 7034 128.66 1.61 (1.48-1.75) <0.001 1.52 (1.38-1.68) <0.001
 Hypertension 1987 21 185 93.79 1.25 (1.14-1.37) <0.001 1.11 (1.00-1.23) 0.048
 Hyperlipidemia 660 8261 79.89 0.8 (0.73-0.87) <0.001 0.96 (0.87-1.06) 0.396
 Parkinson’s disease 197 1246 158.17 1.77 (1.53-2.05) <0.001 1.08 (0.93-1.26) 0.292
 Dementia 879 7756 113.32 1.47 (1.35-1.59) <0.001 1.17 (1.07-1.27) <0.001
 Epilepsy 359 4201 85.45 1.02 (0.91-1.14) 0.777 1.15 (1.02-1.29) 0.02
 Cardiovascular disease 585 4681 124.97 1.45 (1.33-1.6) <0.001 1.07 (0.97-1.18) 0.183
 Hemodialysis 72 249 288.68 2.85 (2.25-3.6) <0.001 2.33 (1.83-2.96) <0.001
Intervention
 No removal of epidural hematoma 90 803 112.08 1.28 (1.04-1.58) 0.022 0.77 (0.62-0.95) 0.014
 Hypoglycemic drugs 1317 14 527 90.66 1.17 (1.08-1.26) <0.001 1.15 (1.05-1.26) 0.002
 Antihypertensive drug 2254 27 827 81 0.6 (0.53-0.67) <0.001 0.39 (0.34-0.44) <0.001
 Hypolipidemic agents 748 16 576 45.13 0.36 (0.33-0.39) <0.001 0.35 (0.32-0.39) <0.001
 Anticoagulant 219 2668 82.07 0.97 (0.85-1.12) 0.687 0.88 (0.77-1.02) 0.082

Adjusted by sex, age, the interval between the first diagnosis of intracerebral hemorrhage and the first use of Chinese herbal medicine or acupuncture, comorbidities, and medication.

aHR = adjusted hazard ratio; cHR = crude hazard ratio; IR = incidence rate per 1000 person-years; PY = person-years; TCM = TCM = Traditional Chinese Medicine.

Fig. 2.

Fig. 2

Kaplan–Meier curves of cumulative mortality between patients who received TCM and those who did not. Patients with intracerebral hemorrhage who received TCM showed a significantly lower cumulative mortality compared with those who did not receive TCM (log-rank test, p < 0.001). ICH = intracerebral hemorrhage; TCM = Traditional Chinese Medicine.

3.3. Stratification according to demographics and comorbidities

Across all stratifications shown in Table 3, patients with ICH who received TCM had a consistently lower incidence of all-cause mortality than those who did not. This survival benefit remained significant regardless of sex (female: aHR = 0.41, 95% CI = 0.35-0.47; male: aHR = 0.43, 95% CI = 0.39-0.48; both p < 0.001), age group (20-40 years: aHR = 0.19, 95% CI = 0.12-0.29; 41-60 years: aHR = 0.31, 95% CI = 0.27-0.37; >60 years: aHR = 0.50, 95% CI = 0.45-0.55; all p < 0.001), urbanization level, or income. The protective association of TCM use persisted across all examined comorbidities, including diabetes (aHR, 0.47; 95% CI, 0.41-0.54; p < 0.001), hypertension (aHR, 0.47; 95% CI, 0.43-0.51; p < 0.001), hyperlipidemia (aHR, 0.46; 95% CI, 0.39-0.54; p < 0.001), cardiovascular disease (aHR, 0.50, 95% CI, 0.42-0.60; p < 0.001), dementia (aHR, 0.45; 95% CI, 0.39-0.52; p < 0.001), epilepsy (aHR, 0.46; 95% CI, 0.37-0.58; p < 0.001), and Parkinson disease (aHR, 0.41; 95% CI, 0.30-0.58; p < 0.001). In patients undergoing hemodialysis, a nonsignificant trend toward reduced mortality was observed (aHR, 0.72; 95% CI, 0.39-1.31; p = 0.277), possibly due to limited sample size.

Table 3.

Stratified analysis of mortality risk by demographics, comorbidities, and interventions in patients with intracerebral hemorrhage

Stroke without TCM Stroke with TCM Crude Adjusted
Variable N PY IR N PY IR cHR cCI p value aHR aCI p value
Gender
 Female 513 4191 122.4 355 6495 54.7 0.49 (0.43-0.56) <0.001 0.41 (0.35-0.47) <0.001
 Male 1006 7730 130.14 725 11 880 61 0.52 (0.47-0.57) <0.001 0.43 (0.39-0.48) <0.001
Age, y
 20-40 100 1833 54.56 35 2381 14.7 0.29 (0.20-0.43) <0.001 0.19 (0.12-0.29) <0.001
 41-60 495 5325 92.96 260 8033 32.4 0.39 (0.33-0.45) <0.001 0.31 (0.27-0.37) <0.001
 >60 924 4763 193.98 785 7962 98.6 0.56 (0.51-0.61) <0.001 0.5 (0.45-0.55) <0.001
Urbanization
 Low 138 937 147.24 106 1580 67.1 0.51 (0.39-0.66) <0.001 0.44 (0.34-0.58) <0.001
 Medium 519 3847 134.91 377 5649 66.7 0.54 (0.47-0.62) <0.001 0.45 (0.39-0.52) <0.001
 High 765 6375 120 522 9817 53.2 0.49 (0.44-0.54) <0.001 0.39 (0.35-0.44) <0.001
 Other 97 762 127.35 75 1329 56.5 0.51 (0.38-0.69) <0.001 0.46 (0.33-0.65) <0.001
Monthly income, NTD
 <20 000 1035 7478 138.41 727 12 040 60.4 0.48 (0.44-0.53) <0.001 0.41 (0.37-0.45) <0.001
 20 000-40 000 321 2757 116.41 230 4145 55.5 0.52 (0.44-0.62) <0.001 0.43 (0.36-0.51) <0.001
 >40 000 163 1686 96.7 123 2189 56.2 0.64 (0.50-0.81) <0.001 0.44 (0.34-0.57) <0.001
Comorbidities
 Diabetes
  No 1023 9386 108.99 671 13 876 48.4 0.48 (0.44-0.53) <0.001 0.39 (0.35-0.43) <0.001
  Yes 496 2535 195.68 409 4499 90.9 0.52 (0.45-0.59) <0.001 0.47 (0.41-0.54) <0.001
 Hypertension
  No 374 3579 104.5 238 5532 43 0.45 (0.38-0.53) <0.001 0.3 (0.25-0.36) <0.001
  Yes 1145 8342 137.26 842 12 843 65.6 0.52 (0.48-0.57) <0.001 0.47 (0.43-0.51) <0.001
 Hyperlipidemia
  No 1166 8778 132.84 773 13 257 58.3 0.48 (0.43-0.52) <0.001 0.4 (0.36-0.44) <0.001
  Yes 353 3143 112.3 307 5118 60 0.61 (0.52-0.71) <0.001 0.46 (0.39-0.54) <0.001
 Parkinson’s disease
  No 1402 11 489 122.03 1000 17 562 56.9 0.51 (0.47-0.56) <0.001 0.41 (0.38-0.45) <0.001
  Yes 117 432 270.83 80 814 98.3 0.41 (0.31-0.55) <0.001 0.41 (0.30-0.58) <0.001
 Dementia
  No 1009 8875 113.7 711 13 665 52 0.51 (0.46-0.56) <0.001 0.4 (0.36-0.44) <0.001
  Yes 510 3047 167.4 369 4710 78.4 0.51 (0.45-0.58) <0.001 0.45 (0.39-0.52) <0.001
 Epilepsy
  No 1294 10 040 128.89 946 16 056 58.9 0.51 (0.47-0.55) <0.001 0.41 (0.38-0.45) <0.001
  Yes 225 1882 119.58 134 2319 57.8 0.51 (0.41-0.63) <0.001 0.46 (0.37-0.58) <0.001
 Cardiovascular disease
  No 1193 10 048 118.73 821 15 567 52.7 0.49 (0.450.53) <0.001 0.39 (0.36-0.43) <0.001
  Yes 326 1873 174.07 259 2808 92.2 0.58 (0.49-0.69) <0.001 0.5 (0.42-0.60) <0.001
 Hemodialysis
  No 1477 11 825 124.9 1050 18 222 57.6 0.51 (0.47-0.55) <0.001 0.42 (0.38-0.45) <0.001
  Yes 42 96 437.03 30 153 196 0.57 (0.35-0.92) 0.02 0.72 (0.39-1.31) 0.277
Intervention
 Removal of hematoma
  No 1454 11 427 127.24 1055 18 066 58.4 0.51 (0.47-0.55) <0.001 0.42 (0.38-0.45) <0.001
  Yes 65 494 131.65 25 309 80.9 0.61 (0.38-0.97) 0.038 0.54 (0.31-0.94) 0.031
 Hypoglycemic drugs
  No 803 5927 135.47 479 9842 48.7 0.43 (0.38-0.48) <0.001 0.36 (0.32-0.41) <0.001
  Yes 716 5994 119.46 601 8534 70.4 0.62 (0.55-0.69) <0.001 0.5 (0.44-0.56) <0.001
 Antihypertensive drug
  No 241 635 379.35 104 1833 56.7 0.3 (0.24-0.38) <0.001 0.39 (0.3-0.49) <0.001
  Yes 1278 11 286 113.24 976 16 542 59 0.55 (0.51-0.60) <0.001 0.46 (0.42-0.50) <0.001
 Hypolipidemic agents
  No 1115 5046 220.97 736 8674 84.9 0.45 (0.41-0.49) <0.001 0.4 (0.36-0.44) <0.001
  Yes 404 6875 58.76 344 9701 35.5 0.6 (0.52-0.69) <0.001 0.48 (0.41-0.56) <0.001
 Anticoagulant
  No 1415 10 852 130.39 965 16 776 57.5 0.49 (0.45-0.53) <0.001 0.41 (0.37-0.44) <0.001
  Yes 104 1069 97.28 115 1599 71.9 0.75 (0.57-0.98) 0.032 0.61 (0.46-0.82) <0.001

Adjusted by sex, age, the interval between the first diagnosis of intracerebral hemorrhage and the first use of Chinese herbal medicine or acupuncture, comorbidities, and medication.

aCI = adjusted confidence interval; aHR = adjusted hazard ratio; cCI = crude confidence interval; cHR = crude hazard ratio; IR = incidence rate per 1000 person-years; PY = person-years; TCM = Traditional Chinese Medicine.

Additionally, TCM use was associated with reduced mortality regardless of surgical hematoma removal (aHR, 0.54; 95% CI, 0.31-0.94; p = 0.031) or concomitant use of hypoglycemic drugs (aHR, 0.50; 95% CI, 0.44-0.56; p < 0.001), antihypertensive agents (aHR, 0.46; 95% CI, 0.42-0.50; p < 0.001), hypolipidemic agents (aHR, 0.48, 95% CI, 0.41-0.56; p < 0.001), or anticoagulants (aHR, 0.61, 95% CI, 0.46-0.82; p < 0.001).

3.4. Efficacy of integrated therapy in ICH patients

Table 4 presents the mortality risks among patients with ICH across four treatment groups: no treatment, CHM alone, conventional medicine (CM) alone, and integrated therapy (CHM plus CM). Compared with patients who received neither CHM nor CM (reference group), those who received integrated therapy exhibited the lowest mortality risk (aHR, 0.15; 95% CI, 0.11-0.22; p < 0.001), followed by the CHM-only group (aHR, 0.23; 95% CI, 0.18-0.30; p < 0.001) and the CM-only group (aHR, 0.34; 95% CI, 0.24-0.48; p < 0.001). These findings suggest that both CHM and CM independently contribute to improved survival following ICH. Notably, the integration of CHM with conventional treatments appeared to confer the most significant survival advantage, highlighting the potential synergistic benefits of combining these therapeutic approaches.

Table 4.

The mortality risk associated with integrated therapy of conventional medicine and herbal medicine in patients with ICH

Conventional medicine Chinese herbal medicine N Event IR Crude HR p aHR p
No No 311 221 439.4 1 (reference) 1 (reference)
No Yes 263 85 69.5 0.20 (0.15-0.25) <0.001 0.23 (0.18-0.3) <0.001
Yes No 2914 1298 113.7 0.29 (0.26-0.34) <0.001 0.34 (0.24-0.48) <0.001
Yes Yes 2962 995 58.0 0.16 (0.14-0.19) <0.001 0.15 (0.11-0.22) <0.001

Adjusted by sex, age, the interval between the first diagnosis of ICH and the first use of Chinese herbal medicine or acupuncture, comorbidities, and medication.

aHR = adjusted hazard ratio; HR = hazard ratio; ICH = intracerebral hemorrhage; IR = incidence rate per 1000 person-years.

3.5. Cumulative use of integrated therapy

Table 5 and Fig. 3 illustrate that the mortality risk among patients with ICH was significantly associated with the cumulative duration of TCM use. Compared with non-TCM users, those who received TCM for 120 to 480 days (adjusted HR, 0.39; 95% CI, 0.34-0.45; p < 0.001) and ≥480 days (aHR, 0.39; 95% CI, 0.34-0.44; p < 0.001) exhibited the lowest overall mortality risks.

Table 5.

The mortality risk associated with cumulative use of integrated medicine in patients with ICH

Overall follow-up period N Event IR Crude HR p aHRa p
Total
 Non-TCM 3225 1519 127.4 1 1
 TCM user 340 69.9
 <30 d 986 222 58.2 0.59 (0.52-0.66) <0.001 0.47 (0.42-0.53) <0.001
 30-120 d 623 231 52.7 0.51 (0.44-0.59) <0.001 0.44 (0.38-0.5) <0.001
 120-480 d 679 287 54.1 0.47 (0.41-0.54) <0.001 0.39 (0.34-0.45) <0.001
 ≥480 d 937 1519 127.4 0.47 (0.41-0.53) <0.001 0.39 (0.34-0.44) <0.001
Follow-up <5 y
 Non-TCM 2390 1279 317.3 1 1
 TCM user 257 198.1
 <30 d 565 138 187.0 0.64 (0.56-0.73) <0.001 0.54 (0.47-0.62) <0.001
 30-120 d 313 132 163.1 0.60 (0.51-0.72) <0.001 0.50 (0.42-0.59) <0.001
 120-480 d 315 185 152.9 0.54 (0.45-0.65) <0.001 0.49 (0.41-0.59) <0.001
 ≥480 d 498 1279 317.3 0.50 (0.42-0.58) <0.001 0.44 (0.38-0.52) <0.001
Follow-up ≥5 y
 Non-TCM 835 240 30.4 1 1
 TCM user 83 23.3
 <30 d 421 84 27.3 0.89 (0.69-1.15) 0.368 0.81 (0.62-1.06) 0.129
 30-120 d 310 99 27.7 0.84 (0.66-1.08) 0.179 0.75 (0.58-0.98) 0.031
 120-480 d 364 102 24.9 0.87 (0.68-1.09) 0.228 0.69 (0.54-0.88) 0.003
 ≥480 d 439 240 30.4 0.83 (0.66-1.04) 0.11 0.68 (0.54-0.86) 0.002

aHR = adjusted hazard ratio; HR = hazard ratio; ICH = intracerebral hemorrhage; IR = incidence rate per 1000 person-years; TCM = Traditional Chinese Medicine.

a

Adjusted by sex, age, the interval between the first diagnosis of ICH and the first use of Chinese herbal medicine or acupuncture, comorbidities, and medication.

Fig. 3.

Fig. 3

Kaplan–Meier curves of survival probability by duration of CHM use in patients with intracerebral hemorrhage. Patients who used CHM for longer durations demonstrated higher survival probability, indicating a significant dose–response relationship. CHM = Chinese herbal medicine.

This inverse relationship remained consistent across the follow-up durations. In the short-term follow-up (<5 years), TCM users with ≥480 days of treatment had a significantly reduced risk of mortality (aHR, 0.44; 95% CI, 0.38-0.52; p < 0.001). In the long-term follow-up (≥5 years), the most significant mortality reduction was also observed in the ≥480 days group (aHR, 0.68; 95% CI, 0.54-0.86; p = 0.002), followed by the 120 to 480 days group (aHR, 0.69; 95% CI, 0.54-0.88; p = 0.003).

Short-term exposure to TCM was also associated with reduced mortality. Patients with <30 days of TCM use showed modest but statistically significant risk reduction in both overall follow-up (aHR, 0.47; 95% CI, 0.42-0.53; p < 0.001) and <5-year subgroup (aHR, 0.54; 95% CI, 0.47-0.62; p < 0.001), although no significant benefit was observed in the ≥5-year subgroup (aHR, 0.81; 95% CI, 0.62-1.06; p = 0.129).

3.6. Most commonly used herbs and formulas in ICH

As shown in Table 6, the top 10 most frequently prescribed single herbs for patients with ICH were Dan-Shan (Salvia miltiorrhiza), Tian-Ma (Gastrodia elata), Yuan-Zhi (Polygala tenuifolia), Shi-Chang-Pu (Acorus tatarinowii), Da-Huang (Rheum palmatum), Huang-Qi (Astragalus membranaceus), Ji-Xue-Teng (Millettia dielsiana), Gou-Teng (Uncaria rhynchophylla), Di-Long (Lumbricus rubellus), and Gui-Zhi (Cinnamomi Ramulus). All of these herbs were significantly associated with reduced mortality risk (aHRs ranging from 0.36 to 0.44, all p < 0.001). Notably, Di-Long showed particularly strong associations with lower mortality (aHR: 0.36), followed closely by Dan-Shan (Salvia miltiorrhiza), Tian-Ma (Gastrodia elata), Ji-Xue-Teng (Millettia dielsiana), and Gou-Teng (Uncaria rhynchophylla), each with an aHR of 0.37 (all p < 0.001).

Table 6.

Risk of mortality in relation to the top 10 used single herbs and formulas for patients with ICH in Taiwan during 2000-2018

Frequency of prescriptions Sum of drug days Average duration, d Daily dose, g Crude HR p aHRa p
Single herbs
 Dan-Shan (Salvia miltiorrhiza) 2832 26 781 9.5 1.1 0.43 (0.35,0.52) <0.001 0.37 (0.31,0.46) <0.001
 Tian-Ma (Gastrodia elata) 2417 18 982 7.9 1.6 0.45 (0.37-0.56) <0.001 0.37 (0.30-0.45) <0.001
 Yuan-Zhi (Polygala tenuifolia) 2246 16 905 7.5 1.2 0.45 (0.36-0.56) <0.001 0.38 (0.31-0.48) <0.001
 Shi-Chang-Pu (Acorus tatarinowii) 2187 15 925 7.3 1.2 0.43 (0.35-0.54) <0.001 0.38 (0.30-0.47) <0.001
 Da-Huang (Rheum palmatum) 1912 13 947 7.3 0.7 0.50 (0.40-0.63) <0.001 0.39 (0.31-0.50) <0.001
 Huang-Qi (Astragalus membranaceus) 1390 11 841 8.5 1.6 0.49 (0.40-0.61) <0.001 0.44 (0.35-0.54) <0.001
 Ji-Xue-Teng (Millettia dielsiana) 1338 11 167 8.3 1.6 0.37 (0.28-0.48) <0.001 0.37 (0.28-0.48) <0.001
 Gou-Teng (Uncaria rhynchophylla) 1103 8148 7.4 1.4 0.41 (0.32-0.52) <0.001 0.37 (0.29-0.46) <0.001
 Di-Long (Lumbricus rubellus) 1071 9663 9 1.0 0.42 (0.32-0.54) <0.001 0.36 (0.28-0.47) <0.001
 Gui-Zhi (Cinnamoni Ramulus) 916 8466 9.2 1.0 0.44 (0.34-0.58) <0.001 0.41 (0.31-0.54) <0.001
Formulas
 Bu-Yang-Huan-Wu-Tang 5424 50 696 9.3 5.6 0.48 (0.42-0.54) <0.001 0.42 (0.37-0.48) <0.001
 Tian-Ma-Gou-Teng-Yin 1924 16 276 8.5 5.3 0.43 (0.35-0.52) <0.001 0.38 (0.31-0.47) <0.001
 Xue-Fu-Zhu-Yu-Tang 1719 14 990 8.7 4.5 0.40 (0.32-0.49) <0.001 0.35 (0.28-0.44) <0.001
 Ma-Zi-Ren-Wan 1460 11 671 8 4.3 0.68 (0.54-0.86) 0.001 0.53 (0.42-0.68) <0.001
 Wen-Dan-Tang 1172 7552 6.4 6 0.49 (0.38-0.62) <0.001 0.38 (0.30-0.49) <0.001
 Huang-Qi-Wu-Wu-Tang 1032 7876 7.6 4.9 0.41 (0.32-0.52) <0.001 0.37 (0.29-0.48) <0.001
 Chai-Hu-Jia-Long-Gu-Mu-Li-Tang 907 8423 9.3 5.8 0.40 (0.29-0.54) <0.001 0.35 (0.26-0.47) <0.001
 Shao-Yao-Gan-Cao-Tang 842 5711 6.8 4.4 0.41 (0.30-0.54) <0.001 0.37 (0.28-0.50) <0.001
 Ji-Sheng-Shen-Qi-Wan 775 6124 7.9 4.8 0.74 (0.56-0.97) 0.027 0.63 (0.48-0.82) <0.001
 Zhi-Gan-Cao-Tang 773 6019 7.8 4.7 0.67 (0.51-0.87) 0.003 0.49 (0.37-0.63) <0.001

aHR= adjusted hazard ratio; ICH = intracerebral hemorrhage.

a

Adjusted by sex, age, the interval between the first diagnosis of ICH and the first use of Chinese herbal medicine or acupuncture, comorbidities, and medication.

The 10 most commonly prescribed herbal formulas were Bu-Yang-Huan-Wu-Tang, Tian-Ma-Gou-Teng-Yin, Xue-Fu-Zhu-Yu-Tang, Ma-Zi-Ren-Wan, Wen-Dan-Tang, Huang-Qi-Wu-Wu-Tang, Chai-Hu-Jia-Long-Gu-Mu-Li-Tang, Shao-Yao-Gan-Cao-Tang, Ji-Sheng-Shen-Qi-Wan, and Zhi-Gan-Cao-Tang. Among these, eight formulas were significantly associated with lower mortality risk in patients with ICH (aHRs ranging from 0.35 to 0.63, all p < 0.001). The strongest effects were observed with Xue-Fu-Zhu-Yu-Tang (aHR = 0.35) and Chai-Hu-Jia-Long-Gu-Mu-Li-Tang (aHR = 0.35).

3.7. The network core pattern network analysis for ICH

The network core pattern analysis (Fig. 4) revealed the dominant patterns of both the formulations and individual herbs used in the treatment of ICH. The core cultivars were Bu-Yang-Huan-Wu-Tang, Yuan-Zhi (Polygala tenuifolia), Shi-Chang-Pu (Acorus tatarinowii), Tian-Ma (Gastrodia elata), and Gou-Teng (Uncaria rhynchophylla).

Fig. 4.

Fig. 4

Core prescription patterns identified from the top 50 combinations of formulas and single herbs used for the treatment of intracerebral hemorrhage. The most frequent core components of treatment included Bu-Yang-Huan-Wu-Tang, Yuan-Zhi (Polygala tenuifolia), Shi-Chang-Pu (Acorus tatarinowii), Tian-Ma (Gastrodia elata), and Gou-Teng (Uncaria rhynchophylla).

3.8. Integrative TCM therapy and total acupuncture sessions are associated with reduced mortality in patients with ICH

Table 7 and Fig. 5 demonstrate a significant dose–response relationship between the number of acupuncture treatments and the reduced mortality risk in patients with ICH. Compared with the non-TCM group, patients who received only CHM without acupuncture already exhibited a significantly lower mortality risk (aHR, 0.40; 95% CI, 0.35-0.45; p < 0.001). Moreover, the patients who received both CHM and acupuncture experienced greater benefits. The protective effect of acupuncture increased with the total number of sessions: those receiving six to 11 sessions had an aHR of 0.39 (95% CI, 0.33-0.46; p < 0.001), 12 to 17 sessions showed an aHR of 0.43 (95% CI, 0.32-0.56; p < 0.001), and those receiving 18 or more sessions demonstrated a reduction in mortality risk (aHR, 0.45; 95% CI, 0.40-0.49; p < 0.001).

Table 7.

Mortality risk according to the total number of acupuncture sessions in ICH patients

Total acupuncture sessions N Event IR Crude HR p aHRa p
Non-TCM 3225 1519 127.4 1.00 1.00
Acupuncture
6-11 550 172 53.4 0.46 (0.40-0.54) <0.001 0.39 (0.33-0.46) <0.001
12-17 161 53 64.5 0.54 (0.41-0.72) 0.007 0.43 (0.32-0.56) <0.001
≥18 1666 536 63.5 0.53 (0.48-0.59) <0.001 0.45 (0.40-0.49) <0.001

aHR= adjusted hazard ratio; HR = hazard ratio; ICH = intracerebral hemorrhage; IR = incidence rate per 1000 person-years; TCM = Traditional Chinese Medicine.

a

Adjusted by sex, age, the interval between the first diagnosis of ICH and the first use of Chinese herbal medicine or acupuncture, comorbidities, and medication.

Fig. 5.

Fig. 5

Kaplan–Meier curves of cumulative mortality by exposure to acupuncture in patients with intracerebral hemorrhage. Patients who received acupuncture exhibited a significantly lower mortality rate, and a clear dose–response relationship was observed as the number of acupuncture sessions increased (log-rank test, p < 0.001).

As shown in Table 8, both CHM alone and CHM combined with acupuncture were associated with a significantly lower mortality risk than the non-TCM group. Patients receiving CHM alone had an aHR of 0.40 (95% CI, 0.35-0.45; p < 0.001), indicating a marked reduction in mortality risk. Patients receiving CHM combined with acupuncture also exhibited a significant survival benefit (aHR, 0.43; 95% CI, 0.39-0.47; p < 0.001). Incidence rates per 1000 person-years were 127.4 for non-TCM users, 54.2 for CHM users, and 60.9 for those receiving CHM plus acupuncture groups.

Table 8.

Mortality risk comparison between CHM alone and CHM plus acupuncture in ICH patients

Number of acupuncture treatments N Event IR Crude HR p aHRa p
Non-TCM 3225 1519 127.4 1.00 1.00
CHM 848 319 54.2 0.49 (0.43-0.55) <0.001 0.40 (0.35-0.45) <0.001
CHM plus acupuncture 2377 761 60.9 0.52 (0.47-0.56) <0.001 0.43 (0.39-0.47) <0.001

aHR = adjusted hazard ratio; CHM = Chinese herbal medicine; HR = crude hazard ratio; ICH = intracerebral hemorrhage; IR = incidence rate per 1000 person-years; TCM = Traditional Chinese Medicine.

a

Adjusted by sex, age, the interval between the first diagnosis of ICH and the first use of CHM or acupuncture, comorbidities, and medication.

4. DISCUSSION

This study highlights the potential role of TCM, including CHM and acupuncture, as complementary approaches to conventional ICH treatment. Our results indicated that TCM may be associated with reduced mortality in patients with ICH, especially with longer treatment durations and increased acupuncture sessions, suggesting a dose–response effect. This finding is consistent with previous evidence indicating that TCM interventions can support neurological recovery and overall stroke outcomes by enhancing functional recovery and quality of life. Specific CHM formulas and individual herbs such as Bu-Yang-Huan-Wu-Tang, Tian-Ma-Gou-Teng-Yin, Tian-Ma (Gastrodia elata), and Di-Long (Lumbricus rubellus) have shown potential benefits, possibly because of their neuroprotective and anti-inflammatory effects. Network core pattern analysis further identified frequent components of ICH treatment in TCM, including Yuan-Zhi (Polygala tenuifolia), Shi-Chang-Pu (Acorus tatarinowii), and Gou-Teng (Uncaria rhynchophylla), underscoring patterns that may help guide clinical practice. Although these findings offer promising insights, the precise mechanisms underlying these associations remain unclear, highlighting the need for further research to elucidate the impact of TCM on ICH outcomes and its integration into stroke management frameworks.

Bu-Yang-Huan-Wu-Tang has been used in stroke patients for centuries because of its function in promoting blood circulation and removing blood stasis for brain recovery.20 Previous studies have revealed that Bu-Yang-Huan-Wu-Tang can reduce inflammation and cell apoptosis following a stroke, thereby lowering cerebral ischemic injury and mortality rates.21,22 Additionally, Bu-Yang-Huan-Wu-Tang has been shown to promote cell recovery and neurogenesis in stroke patients.23 The combination of Bu-Yang-Huan-Wu-Tang and Western medicine can lead to improved quality of life and neurological function during the recovery period following an ischemic stroke.24 The primary component of BY Bu-Yang-Huan-Wu-Tang HWT may also aid in the recovery from hemorrhagic stroke.25 In vivo study, Bu-Yang-Huan-Wu-Tang can downregulate the leukemia inhibitory factor expression to attenuate the glial scar formation after ICH event.26 By regulating the repairing pathway like phosphorylation of vascular endothelial growth factor receptor 2 (pVEGFR2) via PI3K/Akt signaling pathway or involving in tRNA-derived small RNA regulation, Bu-Yang-Huan-Wu-Tang can enhance the neurologic recovery.8,27 Yuan-Zhi (Polygala tenuifolia) has been used for decades in the treatment of central nervous system diseases. Current studies have shown that Yuan-Zhi exhibits anti-ischemic and anti-neuroinflammatory effects in a dose-dependent manner in rats with transient middle cerebral artery occlusion (MCAO).28 Yuan-Zhi extract also suppresses cell apoptosis by regulating the JAK2/STAT3 and SOCS3 signaling pathways in MCAO models.29 Hydroalcoholic extract of Yuan-Zhi showed neuroprotective potential in stroke patients by targeting Pannexin-1 and preventing cell death.30 Shi-Chang-Pu (Acorus tatarinowii) has been widely used to treat neurological disorders due to its main components, α-asarone and β-asarone, which have neuroprotective functions.31 Studies have shown that Shi-Chang-Pu can reduce stroke-induced damage by lowering infarct volume,32 reducing cerebral edema,33 inhibiting cell apoptosis, and providing anti-inflammatory effects.33 Acorus tatarinowii oil, extracted from Shi-Chang-Pu, has been shown to activate microglia through regulation of the gut microbiota, exhibiting therapeutic effects in experimental stroke models in rats.34 Tian-Ma (Gastrodia elata) has long been used to treat headaches, dizziness, and stroke. Its anti-inflammatory and neuroprotective effects play a crucial role in the treatment of ischemic stroke.35–37 A report showed that Tian-Ma improved cerebral ischemia–reperfusion injury of ischemic stroke by regulating the composition and metabolism of intestinal flora.38 Gou-Teng (Uncaria rhynchophylla) is one of the single herbs used for central nerve and cardiovascular disorders. Hirsutine, a major component of Gou-Teng, reduces the accumulation of reactive oxygen species, thereby achieving a neuroprotective effect in ischemic stroke.39 The ancient Chinese herbal formula Tian-Ma-Gou-Teng-Yin, which includes both Tian-Ma and Gou-Teng, is known for its ability to pacify the liver and subdue yang, making it widely used for lowering blood pressure.40 Given its antihypertensive effects, Tian-Ma-Gou-Teng-Yin may help reduce blood pressure in patients with ICH, potentially lowering the risk of secondary hemorrhagic stroke.

Our findings indicate a dose–response effect, as longer duration of TCM treatment and more acupuncture sessions were associated with reduced mortality in patients with ICH. Previous studies have highlighted the dose-dependent effects of acupuncture in conditions such as migraine, allergic rhinitis, and depression.41 This study is the first to demonstrate a dose–response effect of acupuncture specifically for ICH treatment. Previous studies have indicated that acupuncture of Baihui (GV20), Hegu (LI4), and Taichong (LR3) can enhance the absorption of hematoma and decrease the per-edema effect.42 In vivo studies have shown that GV20-penetrating-Qubin (GB7) can alleviate neuronal cell apoptosis through microRNA regulation in ICH rats.43,44 Furthermore, taking GV20 only can improve the physical outcome in a preclinical study.45

Surgery for hematoma in patients with ICH is controversial because ICH usually occurs deep inside the brain; iatrogenic damage to brain tissue should be considered.46 The potential risks and other adverse effects were also problems.47 In our study, there were no significant side effects for surgical intervention since the removal of epidural hematoma did not increase the risk of death in patients with ICH.

Although patients receiving TCM for <30 days appeared to have a lower mortality risk, this subgroup primarily served as a reference comparator in the stratified analysis. It is unlikely that such a brief treatment period alone would confer long-term survival benefits, particularly in the group followed for 5 years or more. The primary finding shown in Table 5 is that longer cumulative use of CHM and acupuncture, especially beyond 480 days, was consistently associated with a greater reduction in mortality. These results support the hypothesis that sustained integrative TCM therapy improves survival outcomes in patients with ICH.

This study had several limitations. First, although the dataset was derived from the NHIRD, which includes data from approximately two million individuals, the number of patients specifically diagnosed with ICH was relatively limited. After applying strict inclusion and exclusion criteria and performing 1:1 propensity score matching, the final analytical cohort included only 6410 patients. Subgroup analyses, such as those focusing on patients who received both Chinese herbal medicine and acupuncture, further reduced the sample size, potentially affecting the statistical power and generalizability. Second, as this was a retrospective cohort study, the causality between TCM intervention and reduced mortality in patients cannot be established. Although we used comprehensive matching to reduce the confounding variables, factors not included in the NHIRD may have affected our results. Additionally, while the NHIRD provides extensive data, it lacks detailed clinical information such as stroke severity, ICH location, and precise dosages or frequencies of CHM components, all of which may impact outcomes. The study included only patients who received at least two outpatient visits or one inpatient TCM treatment, potentially excluding those who may have benefited from lower intervention frequencies, leading to a possible underestimation of the effects of TCM. Moreover, the number of CHM treatment days and acupuncture sessions was analyzed as absolute values rather than as a proportion of each patient’s survival duration, which may introduce survival time bias. Furthermore, we did not evaluate the association between the timing of TCM initiation and survival outcomes. By analyzing both the interval between the initial ICH diagnosis and the first use of CHM or acupuncture, as well as the total number of treatment days relative to each patient’s survival duration, future studies may be able to determine whether early initiation of TCM contributes to prolonged survival in this population. The primary outcome was survival rate; therefore, we were unable to assess improvements in Eastern Cooperative Oncology Group performance status scale scores or neurological function. Finally, given that this study reflects Taiwan’s unique integration of TCM within its healthcare system, the findings may only be applicable to populations with similar access to TCM and healthcare structures. Future prospective studies are recommended to further explore these findings and to evaluate the effects of TCM on ICH outcomes in diverse populations and healthcare settings.

In conclusion, this population-based cohort study demonstrates that TCM, including CHM and acupuncture, is significantly associated with reduced mortality in patients with ICH. The survival benefit of TCM was particularly pronounced with longer treatment durations and higher frequencies of acupuncture, suggesting a dose–response relationship. Specific CHM formulae, such as Bu-Yang-Huan-Wu-Tang and Tian-Ma-Gou-Teng-Yin, as well as single herbs, such as Tian-Ma (Gastrodia elata) and Di-Long (Lumbricus rubellus), have contributed substantially to mortality risk reduction. Network core pattern analysis further identified Bu-Yang-Huan-Wu-Tang, Yuan-Zhi (Polygala tenuifolia), Shi-Chang-Pu (Acorus tatarinowii), Tian-Ma, and Gou-Teng (Uncaria rhynchophylla) as commonly prescribed and potentially effective ICH treatment agents. These findings support the integration of TCM with conventional medical management of ICH, highlighting its potential as a complementary therapeutic strategy. Nevertheless, prospective, well-designed clinical trials are warranted to validate these observational results and elucidate the underlying mechanisms of the effects of TCM on ICH outcomes.

ACKNOWLEDGMENTS

This study was supported in part by the Taiwan Ministry of Health and Welfare Clinical Trial Center (MOHW110-TDU-B-212-124004), and also supported by China Medical University and Asia University and China Medical University Hospital, Taichung, Taiwan (CMU114-ASIA-06 and DMR-115-002). This study was also supported by the Center for Traditional Medicine, Taipei Veterans General Hospital, Taipei, Taiwan (V112C-190 and V113C-087), National Yang Ming Chiao Tung University, Taipei, Taiwan, and National Science and Technology Council, Taipei, Taiwan (NSTC-111-2320-B-A49A-501-MY2 and NSTC-113-2320-B-A49-029).

We are grateful to the Health Data Science Center, China Medical University Hospital, for providing administrative, technical, and funding support.

Footnotes

Conflicts of interest: The authors declare that they have no conflicts of interest related to the subject matter or materials discussed in this article.

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