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. 2026 Mar 19;30:320. doi: 10.1186/s13054-026-05931-z

10 years trends and hospitalization outcomes of non-neonatal tetanus: a large-scale multicenter retrospective study in China

Chunxin Liu 1,#, Minli Lei 1,#, Jingjing Chen 2,#, Miaoting Huang 1,#, Yaxin Lu 2, Yueming Chen 3, Dengfeng Wu 4, Xingcai Tan 5, Yuqiang Liang 6, Xianwu Zhao 7, Guowei He 8, Long Yu 9, Mingming Huang 10, Tianrong He 11, Chi Yang 12, Gengwei Zhang 13, Jing Xu 14, Renfeng Liao 15, Shaoyun Lu 16, Shufa He 17, Huizhong Qiu 18, Yingjie Chen 19, Zhong Zhao 20, Jinrong Liang 21, Fuxing Xu 22, Shuyan Liu 23, Yongxiang He 24, Yuanjun Lv 25, Zeqiang Yuan 26, Huangyang He 27, Hong Deng 28, Yingbo Jiang 29, Weibin Huang 30, Xianrui Zhuang 31, Xiaoxin Qiu 32, Qinhai Liu 33, Rui Huang 34, Ke Yang 35, Yuntao Peng 36, Yi Ye 37, Jiajie Ke 38, Qingli Dou 39, Wenlong Deng 40, Haobo Zhang 41, Xiuqun Kang 42, Nan Liu 43, Jun Chen 44, Wenjian Zhu 45, Fengqing Song 46, Yang Liu 47, Shengnan Xie 48, Haiyu Gu 49, Wenming Shao 50, Licheng Luo 51, Yaowen Huang 52, Zenglong Wu 53, Ping Liu 54, Maoxiang Liao 55, Shusen Ye 56, Xusheng Tu 1, Jianan Wu 57, Mufu Wu 58, Yingquan Chen 59, Wei Zhang 60, Haiming Fu 61, Huarong Ding 62, Xiao Shao 63, Anni Lou 64, Yulin Chen 65, Zhao Fan 66, Zengliang Lei 67, Jianhui Yan 68, Xian Chen 69, Na Peng 70, Wen Lv 71, Ying Feng 72, Qing Liang 73, Mingliang He 74, Zhilin Huang 75, Tao Li 76, Jun Li 77, Wenfeng Fan 78, Zhiquan Lai 79, Yusheng He 80, Yewen Zhang 81, Hanzhong Qiu 82, Yang Yu 83, Yongguang Huang 84, Dongjian Liu 85, Weixin Quan 86, Huanyao Zhang 87, Jifeng Li 88, Liping Wu 89, Tao Yi 90, Wensheng Wu 91, Sheng Xie 92, Wenhui Huang 93, Yue Yang 94, Guangshao Wen 95, Yan He 96, Jian Wu 97, Qunlin Chen 98, Chuming Liu 99, Zhixue Hua 100, Xiaoyan Yang 101, Keke Wang 102, Jiasong Hu 103, Changqing Mao 104, Jianfei Li 105, Ping Song 106, Chunfa Jiang 107, Weiqin Zhong 108, Xiaoyue Li 109, Jialuan Zhang 110, Bei Hu 111, Youqing Tang 112, Zhiming Lian 113, Li Liu 114, Wenyue Liu 115, Qihua Wu 116, Yaling Chai 117, Xiaoming Lai 118, Yong Zheng 119, Yuanwen Lu 120, Dianhong Li 121, Zhipeng Zhou 122, Qiutian Lin 123, Guangda Liang 124, Huayuan Zhu 125, Feng Zhong 126, Mingjun Du 127, Yue Huang 128, Xingdong Zeng 129, Huaqing Zhan 130, Fengxi Wang 131, Wenzhong Yu 132, Pengcheng Wu 133, Ruiquan Wang 134, Bo Liu 135, Lintao Yu 136, Chao Chen 137, Haidong Wu 138, Zhenggeng Wu 139, Lanxiang Wang 140, Linfeng Zhang 141, Tengfei Guo 142, Wenliang Xiao 143, Guoyan Li 144, Shaoyi Lin 145, Fuhua Yan 146, Yufeng Gao 147, Yukun Chen 148, Haixia Wang 149, Ruisui Chen 150, Donghua Gu 151, Weicong Zheng 152, Cong Liang 153, Yuetao Zhang 154, Yanli Wang 155, Xu Feng 156, Fuquan Xiao 157, Xuemin Huang 158, Guisheng Liao 159, Yaogen Yuan 160, Shaofeng Deng 161, Quanle Liu 162, Zhenliang Zheng 163, Yongbiao Zhang 1,✉
PMCID: PMC13285191  PMID: 41857619

Abstract

Objectives

Non-neonatal tetanus continues to pose a public health challenge in low- and middle-income regions. This study aimed to describe the decade-long profile of non-neonatal tetanus in Guangdong, China, from 2011 to 2021—a period marked by rapid economic development and healthcare system strengthening.

Design

Multicenter, retrospective study.

Setting

The study was conducted across 159 hospitals in Guangdong, China.

Patients

We included patients with a clinical diagnosis of tetanus admitted between 2011 and 2021. A total of 2,567 cases (median age 53 years; 62.1% male) were analyzed.

Interventions

None.

Measurements and main results

Data on demographics, vaccination status, clinical severity (Ablett classification), etiology, seasonal trends, critical care utilization, outcomes, and costs were collected. Farmers constituted the largest occupational group (43.7%), and only 2.2% had documented tetanus vaccination. Hospitalizations fluctuated but showed an overall increase, with a rising proportion of severe cases (Ablett grade III/IV). A seasonal peak was observed in August–September. The most common etiology was post-traumatic injury (43.4%). Critical care was frequently required: 25.1% of patients were admitted to the ICU, and 23.8% received mechanical ventilation. Multivariable analysis identified higher Ablett grade, injection drug use, unknown etiology, and comorbidities as independent risk factors for mortality; ICU admission was protective. Case fatality declined significantly from 11.8% in 2012 to 3.5% in 2021, while median hospitalization costs rose substantially.

Conclusions

This large-scale study reveals a substantial burden of severe non-neonatal tetanus among under-vaccinated adults, persisting despite the region’s economic transition. Case fatality decreased over the study period, likely reflecting improvements in both the accessibility and quality of critical care, albeit with increasing healthcare costs. The association between injection drug use or unknown etiology and mortality warrants heightened clinical vigilance.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13054-026-05931-z.

Keywords: Tetanus, Epidemiology, Retrospective study, Hospitalization, Critical care

Key points

  • Question: How has the clinical profile of non-neonatal tetanus evolved in a region undergoing rapid economic development and healthcare system transition?

  • Findings: In a large, multicenter retrospective study of 2,567 patients in Guangdong, China (2011-2021), a substantial burden of severe disease was observed among under-vaccinated adults (only 2.2% with documented vaccination), despite major economic development. Case fatality significantly declined from 11.8% to 3.5%, coinciding with a high rate of critical care utilization (25.1% ICU admission), but median hospitalization costs rose substantially. High mortality was linked to disease severity (Ablett grade), injection drug use, and unknown etiology.

  • Meaning: Economic development alone does not eliminate tetanus risk among under-vaccinated adults. The observed decline in case fatality, coinciding with high ICU utilization, highlights the life-saving role of enhanced critical care access. Future efforts need to pair adult vaccination campaigns with sustained critical care investment to both reduce incidence and improve survival, especially in identified high-risk groups.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13054-026-05931-z.

Introduction

Tetanus, a life-threatening neurological disease caused by the potent neurotoxin of Clostridium tetani, remains a significant yet preventable public health challenge. While global elimination campaigns have drastically reduced maternal and neonatal tetanus, the burden of non-neonatal tetanus persists, particularly in low- and middle-income regions. In 2023, 21 830 cases of tetanus were reported to the World Health Organization (WHO), with 80% occurring in non-neonates [1]. However, this figure is believed to be a substantial underestimate due to systemic surveillance weaknesses in many high-burden countries where tetanus is not a notifiable disease; disease modelling suggests the true global mortality may be as high as 50,000 deaths annually [2]. Tetanus fatality rates are significantly higher in low- and middle-income countries compared to high-income ones, due to a lack of intensive care access and facilities [3]. Therefore, the changing profile of tetanus must be interpreted against the backdrop of socioeconomic development and health system strengthening.

While there have been numerous reports on the characteristics and management of non-neonatal tetanus patients, these studies have generally been limited by small sample sizes [4–8]. Furthermore, although research exists from countries and regions at different economic levels, few studies have tracked the evolution of tetanus management within a single region undergoing rapid economic transformation.

China’s Guangdong Province presents an ideal case study for investigating this dynamic. As the nation’s most populous and economically vibrant region, Guangdong underwent a pivotal transition from a middle-income to a high-income economy during the 2011–2021 study period [9, 10]. This remarkable growth was paralleled by massive investment in public health and intensive care facilities [11]. This transformative decade offers a unique natural experiment to examine how the epidemiology and clinical management of a vaccine-preventable disease like tetanus evolve in tandem with economic advancement and healthcare infrastructure enhancement.

To address this evidence gap, we conducted a large-scale, multicenter, retrospective study, analyzing data from more than 2,000 clinically diagnosed tetanus patients admitted to 159 general hospitals across Guangdong Province between 2011 and 2021. To our knowledge, this represents the largest clinical dataset of its kind. Our study aims to:1) describe the clinical characteristics of non-neonatal tetanus in a highly populated, rapidly developing region; 2) analyze temporal trends in hospitalized tetanus cases, case fatality, healthcare resource utilization, and associated costs; 3) identify factors independently associated with treatment outcomes in a real-world setting.

Method and methods

Study design

This was a multicenter, retrospective, observational study of patients hospitalized for tetanus in Guangdong Province, China from January 2011 to July 2021. Guangdong Province comprises 21 prefecture-level cities. There are approximately 632 secondary and tertiary hospitals in the province. After excluding all specialized hospitals (e.g., oncology and children’s hospitals), we identified 485 eligible general hospitals as our target for invitation. Among these, 291 hospitals (60.0%) responded with agreement to participate. Ultimately, 162 hospitals (99 tertiary and 63 secondary hospitals) provided data for medical record abstraction. Following the exclusion of duplicate records and cases not meeting the inclusion criteria, data from 159 hospitals were included in the final analysis.

Data collection

Access to inpatient medical records for patients diagnosed with tetanus was obtained from the electronic Hospital Information System (HIS) of each participating hospital. Trained research coordinators used a standardized data abstraction form to extract the required variables from the local HIS. Data was encoded using unique patient codes and entered into a database.

The definition of tetanus patients was taken from the terminology of the International Classification of Diseases, 10th Revision (ICD-10), based on the final clinical diagnosis at hospital discharge.

The demographic characteristics of the tetanus patients, such as gender, age, occupation, tetanus vaccination history, and comorbidities, were recorded. In terms of clinical presentation, presumed etiology of tetanus, site of injury or infection, interval from exposure to onset, interval from onset to initial visit, presenting symptoms, clinical forms of tetanus, and grading of disease severity, with/without autonomic nervous disorders, et al. were recorded. In terms of clinical management, medications (such as anti-tetanus immunoglobulin, tetanus vaccination, antibiotics, sedatives, muscle relaxants) and whether mechanical ventilation and tracheotomy involved in patient care were noted. Data on the clinical course was recorded in terms of duration of hospital and intensive care unit (ICU) stay, complications encountered. Lastly, hospitalization expenses and outcome of admission were also included. Hospitalization expenses were extracted from the financial settlement module of the HIS, specifically the "total hospitalization expenses" field from the final inpatient expense summary.

The entire dataset from all sites was reviewed independently by two central researchers (LML, HMT). Any inconsistencies or discrepancies identified during this independent review were resolved through mutual discussion and, when necessary, by re-consulting the original electronic medical record at the respective hospital. Duplicate records (retaining only the final treating hospital’s record) and cases with unresolvable data errors were excluded from the final analysis.

Operational definitions

To ensure clarity and reproducibility, the following key terms were defined according to standardized criteria:

  • 1. Clinical Forms of Tetanus

  • Localized tetanus: Muscle spasms confined to the site of injury; Cephalic tetanus: Occurs after head trauma, manifesting as facial and pharyngeal muscle spasms; Generalized tetanus: Generalized muscle rigidity and spasms, the most common form.

  • 2. Disease Severity (Ablett Classification)

  • Grade I (Mild): Mild to moderate trismus, no respiratory compromise, no or mild dysphagia; Grade II (Moderate): Moderate trismus, transient convulsive seizures, dyspnea (respiratory rate > 30/min), mild dysphagia; Grade III (Severe): Severe trismus, generalized spasms, severe dyspnea (respiratory rate > 40/min), severe dysphagia, tachycardia > 120/min; Grade IV (Very Severe): Grade III criteria plus severe autonomic instability (e.g., alternating hypertension/tachycardia and hypotension/bradycardia).

  • 3. Etiology Classification

  • Post-traumatic: Following acute trauma (e.g., puncture wounds, fractures, burns); Non-traumatic infectious: Secondary to chronic infections or lesions (e.g., chronic ulcers, otitis media, postoperative infections); Injection drug use-associated: Related to contamination of injected drugs or equipment; Unknown: No identifiable history of trauma or infectious focus.

  • 4. Comorbidities were defined as pre-existing conditions not directly caused by tetanus. The full list of recorded comorbidities is provided in Table 1.

Table 1.

Demographic characteristics of tetanus patients

Variable Number (n) Percentage (%)
Gender
Female 973 37.9%
Male 1594 62.1%
Age, year
14 ~ 17 39 1.5%
18 ~ 45 539 21.0%
46 ~ 65 1143 44.5%
66 ~ 79 560 21.8%
 > 79 286 11.2%
Occupation
Student 27 1.1%
Labor workers 341 13.3%
Farmer 1123 43.7%
Other professions 483 18.8%
The unemployed 516 20.1%
Retiree 77 3.0%
Tetanus Vaccination history
Yes 55 2.2%
None 298 11.6%
Unknown 2214 86.2%
Comorbidities
None 1690 65.8%
Malignancy 43 1.7%
Hypertension or other cardiovascular disease 310 12.1%
Pulmonary disease 60 2.3%
Diabetes mellitus or other endocrine disease 96 3.7%
Stroke or other neurologic disease 78 3.0%
Renal disease 10 0.4%
Liver and Biliary Diseases 69 2.7%
HIV and other immunodeficiency disorders 8 0.3%
Others 203 7.9%

HIV = Human Immunodeficiency Virus

Values are number or percentage. Age is also presented as median (interquartile range, IQR)

Statistical analysis

The statistical analysis was performed using R version 3.6.2 software (Institute for Statistics and Mathematics, Vienna, Austria; www.r-project.org). Quantitative variables are expressed as mean ± standard deviation (SD) or the median and interquartile range (IQR), and qualitative variables are presented as numbers (percentage).

Given the low proportion of missing data (< 5%), missing values were addressed using single imputation prior to further analysis: continuous variables were imputed with the mean, and categorical variables were imputed with the mode.

For multivariable analysis, variables with a p-value < 0.05 in univariate analysis were considered for inclusion. Age and sex were forced into the model regardless of univariate significance due to their clinical relevance. Multicollinearity was assessed using variance inflation factors (VIF), with all VIF values < 5 indicating no serious concerns.

To account for potential clustering effects at the hospital level, generalized estimating equations (GEE) analysis was used to assess the risk factors associated with fatality. Both univariate and multivariable GEE models were performed, with hospital ID specified as the clustering variable. A P value < 0.05 was considered statistically significant.

Results

Temporal and seasonal patterns of tetanus cases

A total of 159 general hospitals participated in this study. The geographic distribution of these hospitals across all 21 prefecture-level cities of Guangdong Province is shown in Supplementary Fig. 1. The study included patients aged over 14 years, as younger individuals are typically admitted to specialized pediatric hospitals and were therefore excluded. From January 2011 to July 2021, 2,567 tetanus cases were identified.

To ensure standardized comparison of annual trends, the analysis was restricted to complete years from 2011 to 2020. During this period, the annual case count fluctuated with an overall increasing trend, ranging from a low of 170 in 2011 to a peak of 319 in 2019. A more consistent and pronounced increase was observed in both the number and proportion of severe (Grade III + IV) tetanus cases, with the proportion being lowest in 2012 (21.3%) and highest in 2020 (33.2%) (Fig. 1).

Fig. 1.

Fig. 1

Temporal and Seasonal Distribution of Tetanus Cases (2011–2020). (A) Annual trend in the number of tetanus cases. (B) Monthly distribution of tetanus case admissions. Each analysis was repeated three times. Data were presented as the mean ± SD. Data from 2021 were excluded from this figure owing to the inclusion of only seven months of data

A clear seasonal pattern was evident, with the lowest number of cases occurring in February. Case counts rose steadily thereafter, peaking in the late summer months of August and September. (Fig. 1).

Demographic characteristics of tetanus cases

Among the 2,567 tetanus cases, the majority (62.1%) were male, resulting in a male-to-female ratio of 1.7:1. The median age of the patients was 53 years (IQR, 42–64). The largest proportion of patients (44.5%) belonged to the 46–65 age group, while the elderly (aged > 65 years) representing one-third of the cohort.

An analysis of occupational distribution identified farmers as the largest subgroup, comprising 43.7% of the cohort. Notably, only 2.2% of patients had a confirmed tetanus vaccination history; the remaining 97.8% had either no or an unknown immunization status. Regarding comorbidities, most patients (65.8%) had no documented pre-existing conditions. The detailed demographic data are presented in Table 1.

Clinical presentation

Table 2 summarizes the clinical characteristics of the 2,567 hospitalized tetanus patients upon presentation. The most common etiology was post-traumatic (1,115 patients, 43.4%), followed by non-traumatic infections (912, 35.5%). A smaller proportion of cases were attributed to injection drug use (0.5%, n = 11), while the etiology remained unknown in 20.6% of cases. The lower extremities were the most common site of injury or infection (48.7%). The median interval from exposure to symptom onset (incubation period) was 10 days (IQR: 6–20), while the median time from symptom onset to the initial hospital visit was 3 days (IQR: 2–7). Although the reported incubation period for tetanus typically ranges from 3 to 21 days [12], our data revealed that 4.7% of patients had an incubation period of ≤ 2 days, and 11.8% had an incubation period of ≥ 30 days.

Table 2.

Clinical presentation of tetanus patients

Variable Number(n) Percentage (%)
Etiology of Tetanus
Post-traumatic 1115 43.4%
Non-traumatic infection 912 35.5%
Injection drug use 11 0.5%
Unknown etiology 529 20.6%
Site of Injury or Infection
Head and face 194 (7.56%)
Trunk 52 (2.03%)
Upper extremities 558 (21.7%)
Lower extremities 1249 (48.7%)
Perineal area 2 (0.08%)
Others 80 (3.12%)
Unknown 432 (16.8%)
Interval from exposure to onset, in days (median, IQR) 10 (7—20)
Interval from onset to initial visit, in days (median, IQR) 3 (2—7)
Presenting symptom
Trismus 2336 91%
Dysphagia 1622 63.2%
Muscle spasms 1522 59.3%
Lockjaw 1067 41.6%
Convulsive seizure 1065 41.5%
Difficulty breathing 610 23.8%
Opisthotonos 610 23.8%
Fever 414 16.1%
Clinical forms of tetanus
Generalized 1616 63%
Localized 527 20.5%
Cephalic 188 7.3%
Unknown 236 9.2%
Grading of disease severity (Ablett grade)
I 1021 39.8%
II 692 27%
III 497 19.4%
IV 234 9.1%
Unknown 123 4.7%
Autonomic nervous disorders
None 2300 89.6%
Yes 267 10.4%

Trismus was the predominant presenting symptom, occurring in 2,336 (91.0%) patients. This was followed by dysphagia (63.2%) and muscle spasms (59.3%). The majority of patients (63.0%) were diagnosed with the generalized form of tetanus. Other clinical forms included localized (20.5%) and cephalic (7.3%) tetanus; the clinical form was unknown in 9.2% of cases. According to the Ablett grading system for disease severity, Grade I was the most frequent (39.8%), while severe disease (Grade III and IV) accounted for 28.5% of cases. Autonomic nervous system disorders were present in 267 patients (10.4%).

Management and outcomes

The management and outcomes for the 2,567 hospitalized tetanus patients are summarized in Table 3. Equine TAT was the most common form of passive immunization, administered to the vast majority of patients (77.6%, n = 1,991). In contrast, human tetanus immunoglobulin (HTIG) was used in a smaller subset of cases (14.5%, n = 372). A total of 204 patients (7.9%) received neither form of anti-tetanus immunoglobulin. Tetanus vaccination was administered to only 19 patients, representing a mere 0.7% of the cohort. Adjunctive medical therapy was widely employed, including antibiotics (93.2%) and sedatives (86.2%); muscle relaxants were used in 12.0% of cases.

Table 3.

Management and outcomes of tetanus patients

Variable Number (n) Percentage (%)
Anti-tetanus immunoglobulin treatment
HTIG 372 14.5%
Equine TAT 1991 77.6%
No 204 7.9%
Tetanus Vaccination
Yes 19 0.7%
No 2548 99.3%
Other treatment medicines
Antibiotics 2393 93.2%
Sedative 2214 86.2%
Muscle relaxants 308 12%
Tracheotomy
Yes 393 15.3%
None 2174 84.7%
Mechanical ventilation
Yes 611 23.8%
None 1956 76.2%
Admission to the ICU
Yes 645 25.1%
None 1922 74.9%
Complication
Respiratory complications (pneumonia, respiratory failure) 593 62.2
Cardiovascular complications (tachycardia, hypertension) 40 4.2
Gastrointestinal complications (paralytic ileus) 21 2.2
Renal complications (renal failure) 10 1
Neurological complications (epilepsy) 13 1.4
Other complications 205 21.5
MODS 72 7.5
Length of hospital stay, in days (median, range) 12 (0–124)
Hospitalization expenses, in RMB (median, range) 16,110 (7012–34642)
Outcome of Admission
Recovered 672 26.2%
Improved 1114 43.4%
Discharged without improvement 656 25.6%
Death 125 4.9%

HTIG = Human Tetanus Immunoglobulin

TAT = Tetanus Antitoxin

ICU = Intensive Care Unit

MODS = Multiple Organ Dysfunction Syndrome.

RMB = Renminbi.

Critical care interventions were frequently required. Tracheotomy was performed in 15.3% of patients, and 23.8% required mechanical ventilation. A quarter of all patients (25.1%) were admitted to the Intensive Care Unit (ICU).

Complications were documented in a subset of patients, with respiratory complications (such as pneumonia and respiratory failure) being the most prevalent, accounting for 62.2% of all reported complications. Cardiovascular complications were reported in 4.2% of cases, while multiple organ dysfunction syndrome (MODS) occurred in 7.5%. Other complications involved the gastrointestinal (2.2%), renal (1.0%), and neurological (1.4%) systems.

The median length of hospital stay was 12 days (range: 0–124 days), with a median hospitalization cost of 2,500 RMB (range: 31.35–628,814 RMB). Regarding patient outcomes, the majority were discharged in an improved (43.4%) or recovered (26.2%) condition. However, a significant proportion (25.6%) were discharged without improvement, and the case fatality rate (CFR) was 4.9%.

Risk factors associated with fatality

Multivariable logistic regression analysis was performed to identify independent risk factors associated with in-hospital fatality among patients with tetanus (Table 4). As anticipated, disease severity was a strong independent predictor of mortality, with significantly increased odds of death observed in patients with Ablett grade II (OR 2.70, 95% CI 1.18–6.17, p = 0.018), grade III (OR 13.40, 95% CI 4.50–39.84, p < 0.001), grade IV (OR 42.73, 95% CI 13.86–131.70, p < 0.001) compared to grade I. Furthermore, the etiology of tetanus was significantly associated with fatality. Notably, injection drug use (OR 5.52, 95% CI 1.11–27.55, p = 0.037) and unknown etiology (OR 1.96, 95% CI 1.14–3.39, p = 0.015) were identified as independent risk factors for death compared to a post-traumatic etiology. Additionally, the presence of comorbidities (OR 1.54, 95% CI 1.03–2.29, p = 0.034) was also independent predictors of mortality. Conversely, admission to the ICU was associated with reduced odds of death (OR 0.47, 95% CI 0.26–0.86, p = 0.015). Case fatality rates stratified by each variable are also presented in Supplementary Table 1.

Table 4.

Univariate and multivariable analysis of factors associated with case fatality

Variables Univariate analysis Multivariable analysis
OR (95% CI) P valuea OR (95% CI) P value
Gender
Female Ref.b Ref
Male 1.11 (0.83–1.49) 0.477 1.05 (0.75–1.47) 0.774
Age 1.00 (0.99–1.01) 0.781 1.00 (0.98–1.01) 0.437
Tetanus Vaccination history
Yes Ref Ref
No 1.65 (0.43–6.29) 0.46 1.30 (0.37–4.62) 0.683
Unknown 1.23 (0.39–3.87) 0.724 0.86 (0.29–2.54) 0.781
Comorbidities
No Ref Ref
Yes 1.87 (1.32–2.64)  < 0.001 1.54 (1.03–2.29) 0.034
Etiology of Tetanus
Post-traumatic Ref Ref
Non-traumatic infection 1.17 (0.78–1.75) 0.449 1.25 (0.84–1.87) 0.278
Injection drug use 12.73 (3.43–47.21)  < 0.001 5.52 (1.11–27.55) 0.037
Unknown etiology 1.82 (1.22–2.72) 0.003 1.96 (1.14–3.39) 0.015
Site of Injury or Infection
Head and face Ref Ref
Trunk 3.28 (1.25–8.63) 0.016 1.79 (0.56–5.70) 0.327
Upper extremities 1.18 (0.57–2.44) 0.652 1.14 (0.51–2.54) 0.745
Lower extremities 1.01 (0.56–1.83) 0.979 0.85 (0.43–1.70) 0.65
Perineal area — / — /
Other 2.89 (1.23–6.76) 0.015 1.25 (0.48–3.23) 0.652
Unknown 1.17 (0.57–2.39) 0.664 0.74 (0.31–1.77) 0.5
Interval from trauma to onset 1.00 (1.00–1.00) 0.910 1.00 (1.00–1.00) 0.999
Interval from onset to initial visit 0.87 (0.79–0.96) 0.005 1.07 (0.60–1.91) 0.818
Complications
No Ref Ref
Yes 1.17 (0.57–2.39) 0.664 1.11 (0.62–1.97) 0.73
Clinical forms of tetanus
Generalized Ref Ref
Localized 0.23 (0.10–0.49)  < 0.001 1.29 (0.55–3.02) 0.564
Cephalic 0.16 (0.05–0.58) 0.005 0.75 (0.18–3.14) 0.692
Unknown 1.17 (0.57–2.41) 0.666 3.28 (1.05–10.19) 0.04
Autonomic nervous disorders
No Ref Ref
Yes 4.14 (2.84–6.04)  < 0.001 1.21 (0.77–1.88) 0.407
Grading of disease severity (Ablett)
I Ref Ref
II 2.78 (1.42–5.44) 0.003 2.70 (1.18–6.17) 0.018
III 12.39 (5.89–26.06)  < 0.001 13.40 (4.50–39.84)  < 0.001
IV 43.38 (20.41–92.22)  < 0.001 42.73 (13.86–131.70)  < 0.001
Unknown 9.88 (3.48–27.99)  < 0.001 3.50 (0.80–15.34) 0.097
Admission to the ICU
No Ref Ref
Yes 1.98 (1.41–2.78)  < 0.001 0.47 (0.26–0.86) 0.015
Anti-tetanus immunoglobulin treatment
HTIG Ref Ref
Equine TAT 1.03 (0.54–1.94) 0.934 1.30 (0.62–2.73) 0.488
HTIG and TAT 0.25 (0.07–0.87) 0.029 0.35 (0.10–1.29) 0.115
No 1.14 (0.52–2.48) 0.742 1.68 (0.64–4.43) 0.292
Mechanical ventilation
No Ref Ref
Yes 3.81 (2.59–5.61)  < 0.001 1.73 (0.95–3.14) 0.075

a. Wald test; Ref. = reference

Trends in case fatality and hospitalization expenses

An analysis of trends from 2011 to 2021 revealed dynamic changes in both patient outcomes and economic burden. The case fatality rate among hospitalized tetanus patients exhibited a significant declining trend over the decade. The fatality rate peaked at 11.8% in 2012 and fell to its lowest point of 3.5% in 2021, representing a substantial improvement in patient survival. (Fig. 2).

Fig. 2.

Fig. 2

Trends in case fatality and hospitalization expenses (2011–2021). (A) The annual case fatality rate among hospitalized tetanus patients (B) The median hospitalization expenses (in RMB); Solid line: actual costs unadjusted for inflation. Dashed line: inflation-adjusted costs (with 2010 as the base year, CPI = 100)

In contrast, the median hospitalization expenses demonstrated a pronounced upward trend during the same period. Costs increased from 20,904 RMB in 2011 to 63,385 RMB in 2021. The trend was consistent after adjusting for inflation using the Consumer Price Index (CPI). This highlights a growing economic burden associated with tetanus hospitalization despite improving clinical outcomes. (Fig. 2).

Discussion

This study, the largest multicenter retrospective analysis of non-neonatal tetanus to date, reveals an evolving disease landscape in China over a ten-year period. Our comprehensive analysis, conducted in a rapidly economically developing province, not only details clinical features, outcomes, and risk factors for mortality but also identifies three key trends: a persistent hospitalization burden, markedly improved clinical management, and rising medical expenditure.

The study cohort, with a median age of 53 years and predominantly composed of farmers without documented vaccination history, reflects a susceptible generation that grew up before or during the early stages of China’s National Immunization Program, launched in 1978 [13]. This profile signifies a substantial adult population with a historical immunity gap. Against this background, the observed stability in tetanus hospitalization numbers and the increasing proportion of severe cases from 2011 to 2021 should be interpreted. Rather than indicating a failure of the current childhood immunization system, the persistent case burden can be understood as the clinical manifestation of this specific unprotected cohort [14, 15].

This pattern was likely amplified by significant improvements in healthcare access during the study period—a period marked by rapid economic development and healthcare system strengthening in Guangdong Province. As illustrated in Supplementary Fig. 2, substantial growth in GDP, health expenditure per capita, hospital beds, and ICU beds occurred over the decade. Guangdong’s spending on medicine and health increasing at an average annual rate of 17.01%, from 25.3 billion yuan in 2009 to 195.2 billion yuan in 2021 [16]. Furthermore, as the first province in China to integrate basic health insurance for both urban and rural residents in 2012, Guangdong has maintained a participation rate above 95% since 2019 [16, 17]. These developments collectively improved access to tertiary care, effectively "unmasking" the true burden of adult tetanus (particularly its severe forms) by capturing cases that would previously have been managed outside the formal hospital system or gone untreated.

The most encouraging finding of this study is the significant decline in case fatality rates over the decade. This achievement is likely attributable to advancements in specialized medical care, particularly in the domain of intensive care. Our multivariable analysis provides evidence for this: admission to the ICU was identified as an independent protective factor, associated with a 53% reduction in the odds of in-hospital death (OR 0.47). This finding not only demonstrates the effectiveness of local critical care investments but also aligns with the well-established global narrative that ICU availability is a critical determinant of survival, as evidenced by the stark mortality disparities between high-income countries with advanced ICU care and low-income regions without such resources [18].

Our risk factor analysis uncovered that, independent of disease severity, the presumed etiology of tetanus itself is one of the key determinants of outcome. Specifically, injection drug use (IDU) and an unknown etiology were associated with mortality in our multivariable model (OR 5.52 and 1.96, respectively). Several previous reports have focused on the risk of tetanus and its clinical management among injection drug use patients [19, 20]. The risk associated with IDU-related tetanus likely stems from cryptic, contaminated injection sites leading to diagnostic delays, compounded by potential comorbidities and complex social factors. However, as only 11 cases of tetanus associated with IDU were included in our cohort, this finding should be interpreted with caution. Rather than a definitive finding, we consider it an important hypothesis-generating signal. This signal suggests that people who inject drugs may represent an high-risk subgroup in tetanus infection. This mandates a high index of suspicion; clinicians should proactively inquire about drug use in any patient presenting with suggestive symptoms, even in the absence of a clear traumatic injury [19, 21].

Similarly, an unknown etiology should serve as a clinical red flag. It suggests a non-traditional or overlooked portal of entry (e.g., chronic ulcers, otitis media, gastrointestinal foci) that may evade standard diagnostic workup, leading to delays in both diagnosis and crucial wound management. The association with higher mortality underscores the need for exhaustive investigation in every case and implies that the absence of a clear wound should heighten, not lessen, clinical concern.

This study has several limitations that should be considered. First, its retrospective design is inherently susceptible to biases in data recording and the unavailability of certain details. However, the very large sample size and the comprehensive, multicenter nature of our data collection enhance the robustness and generalizability of our principal findings. Second, as our study was restricted to hospitalized patients, those who died before reaching the hospital were excluded. This may lead to an underestimation of the true population-based case fatality rate. Third, the study included only patients aged over 14 years. This focus is justified as the incidence of tetanus in younger cohorts is expected to be very low due to the high coverage of DTP3 vaccination in China since the 1990s.

Conclusions

This large-scale study reveals a substantial burden of severe non-neonatal tetanus among under-vaccinated adults, persisting despite the region’s economic transition. Case fatality decreased over the study period, likely reflecting improvements in both the accessibility and quality of critical care, albeit with increasing healthcare costs. The association between injection drug use or unknown etiology and mortality warrants heightened clinical vigilance.

Supplementary Information

Additional file 1. (4.4MB, tif)
Additional file 2. (3.7MB, tif)
Additional file 3. (292.5KB, pdf)

Acknowledgements

We thank all municipal hospitals in Guangdong Province for their contribution and assistance in data collection.

Author contributions

LCX designed the study and participated in literature search, data analysis, manuscript writing and editing, and manuscript submission. TXS, LML, HMT, and CJJ participated in the study design, data analysis, and manuscript writing and editing. LYX, CYM, WDF, TXC, and TXS etc. collected the data. ZYB participated in the study design, supervised the writing of the manuscript, and edited the manuscript before submission. All authors have read and approved the final version of the manuscript.

Funding

This study was not supported by any research grants.

Data availability

Data from this study are available from the corresponding author upon request. The data are not publicly available because they contain information that could compromise the privacy of the participants.

Declarations

Ethical approval and consent to participate

This study was conducted in accordance with the Declaration of Helsinki and approved by the Ethics Committee of the Third Affiliated Hospital of Sun Yat-sen University (Approval number: 202202–355-01). For this multicenter retrospective study, participating hospitals relied on the ethical approval of the lead institution through a collaborative review mechanism. Given the retrospective nature of the study and the use of anonymized data, the requirement for written informed consent was waived. All patient data were de-identified prior to analysis.

Consent for publication

The authors declare that the research was conducted in the absence of commercial or financial relationships that could be construed as potential conflicts of interest.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Chunxin Liu, Minli Lei, Jingjing Chen and Miaoting Huang contributed equally to this work as co-first authors.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Additional file 1. (4.4MB, tif)
Additional file 2. (3.7MB, tif)
Additional file 3. (292.5KB, pdf)

Data Availability Statement

Data from this study are available from the corresponding author upon request. The data are not publicly available because they contain information that could compromise the privacy of the participants.


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