We sought to examine high-risk factors for severe tetanus, construct a nomogram model, and predict the risk probability of severe tetanus in adult patients to provide a theoretical basis for clinical intervention. Methods: A retrospective analysis was employed in this study, which enrolled 65 adult patients with tetanus diagnosed at the Second Affiliated Hospital of Hainan Medical University from January 2017 to September 2022. Study participants were divided into severe and mild groups based on the Ablett classification. The general data and laboratory markers of both groups were compared, and logistic regression analysis was used to screen for independent risk factors for severe tetanus. A nomogram prediction model was constructed, and receiver operating characteristic (ROC), calibration curve, and decision curve analysis (DCA) were constructed and used to assess discrimination, calibration, and net benefit. Results: Of the 65 adults patients with tetanus, 28 were placed in the severe group and 37 were placed in the mild group. Univariate logistic regression analysis showed that there were statistically significant differences in the incubation period, time from disease onset to treatment, white blood cell count (WBC), neutrophil count (NEU), lymphocyte count (LYM), platelet count (PLT), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lactate dehydrogenase level (LDH), myoglobin level (Mb), and aspartate aminotransferase (AST) level between the two groups (P < 0.05). while the differences in age; sex; and creatine kinase, creatine kinase isoenzyme, and alanine aminotransferase levels were not statistically significant (P > 0.05). Multivariate analysis showed that NLR (odds ratio [OR] = 4.998, 95 % confidence interval [CI] = 1.154-21.649, P = 0.031), AST (OR = 1.074, 95 % CI = 1.007-1.146, P = 0.031), PLT (OR = 1.055, 95 % CI = 1.006-1.106, P = 0.027), and incubation period (OR = 0.597, 95 % CI = 0.423-0.843, P = 0.003) are independent risk factor for severe tetanus. A Nomogram for predicting Severe Tetanus (N-ST) prediction model was constructed based on variables in the multivariate analysis with P < 0.05. The ROC curve showed that the optimal cutoff point was 108.044 points. At this point, the sensitivity was 86.5 %, the specificity was 89.3 %, the area under the ROC curve was 0.936, and model discrimination was good. The calibration curve overlapped with the ideal curve, and the DCA curve showed that the model can provide clinical benefits. Conclusion: NLR, AST, PLT, and incubation period are predictors of severe tetanus. The constructed N-ST model can provide a new, convenient, and rapid method to predict the risk probability of severe tetanus in adults and guide early clinical intervention.

Scrub typhus, caused by the obligate intracellular bacterium Orientia tsutsugamushi (O. tsutsugamushi), remains a major public-health concern in the Asia–Pacific region. Genome-wide inference is complicated by extensive repetitive DNA and frequent genome rearrangement. We isolated O. tsutsugamushi HMU_001 from a scrub typhus patient on Hainan Island, China. Intracellular morphology was examined and replication was quantified in endothelial cells. Using long-read sequencing with short-read polishing, we generated a closed circular genome and performed standardized comparative analyses across all available complete O. tsutsugamushi genomes. HMU_001 assembled as a 1,895,724 bp genome and, among the 17 complete genomes analyzed in this study, represented the most compact genome. Repeats comprised 873,550 bp (46.08%) and included 72 RAGE loci (4 relatively complete) and 283 insertion sequences (54 intact). Repeat content varied widely and largely explained genome size differences. A core-gene phylogeny resolved four clades with partial geographic structure, while tsa56 genotypes were only partly congruent with it. Genome synteny was generally limited across strains but markedly higher among the closest relatives, consistent with ongoing rearrangement. HMU_001 expands representation of complete O. tsutsugamushi genomes by adding a TA763_A lineage strain from a high-incidence island setting. Comparative analyses support a model in which repeat proliferation and decay drive genome evolution and structural remodeling.

Scrub typhus, caused by Orientia tsutsugamushi, remains a neglected cause of acute febrile illness. Molecular testing of blood supports early diagnosis, yet once doxycycline is started, blood qPCR positivity can drop rapidly, complicating short-term follow-up and relapse surveillance. We compared detection across multiple clinical specimens and evaluated nasopharyngeal swabs (NPSs) as noninvasive supplementary specimens during treatment initiation. In a prospective single-center cohort from Hainan, China, we enrolled 20 patients with scrub typhus. Blood, NPS, urine, and stool were collected before doxycycline administration 24 h after the first dose and on day 5. qPCR was performed for the analysis of Orientia tsutsugamushi. qPCR-positive specimens were subjected to nested PCR targeting TSA56, and nested PCR-positive amplicons were Sanger sequenced for genotyping. Before treatment, O. tsutsugamushi DNA was detected in 15/20 blood samples (75.00%) and 5/20 NPS samples (25.00%), but 0/20 urine samples (0%) and 0/20 stool samples (0%). At 24 h after treatment, detection in blood was 0/20 (0%) while NPS samples were positive in 3/20 (15.00%). All specimens were negative by day 5 after treatment. Across sequenced NPS positives (n = 3), Karp 2/3 (66.77%) and Gilliam 1/3 (33.33%) predominated. In paired blood–NPS positives, inter-specimen homology was high (percentage nucleotide identity 100% for Karp and 100% for Gilliam). NPS is not sensitive enough for primary diagnosis; however, within the first 24 h after doxycycline it offers a practical, noninvasive supplementary specimen to support short-term follow-up and community-based sampling when venipuncture or transport are constrained. Larger, multi-center studies are warranted to refine sampling windows and diagnostic performance.

Although bacterial dysbiosis in chronic hepatitis B (CHB) is well established, the role of the gut mycobiome-particularly its functional interplay with bac