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.

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.
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
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
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.

