A nomogram to predict mortality in patients with severe fever with thrombocytopenia syndrome at the early stage-A multicenter study in China

PLoS Negl Trop Dis. 2019 Nov 25;13(11):e0007829. doi: 10.1371/journal.pntd.0007829. eCollection 2019 Nov.

Abstract

Background: Severe fever with thrombocytopenia syndrome (SFTS) caused by the SFTS virus is an emerging infectious disease that was first identified in the rural areas of China in 2011. Severe cases often result in death due to multiple organ failure. To date, there are still numerous problems remain unresolved in SFTS, including unclear pathogenesis, lack of specific treatment, and no effective vaccines available.

Aim: To analyze the clinical information of patients with early-stage SFTS and to establish a nomogram for the mortality risk.

Methods: Between April 2011 and December 2018, data on consecutive patients who were diagnosed with SFTS were prospectively collected from five medical centers distributed in central and northeastern China. Multivariable Cox analyses were used to identify the factors independently associated with mortality. A nomogram for mortality was established using those factors.

Results: During the study period, 429 consecutive patients were diagnosed with SFTS at the early stage of the disease (within 7 days of fever), among whom 69 (16.1%) died within 28 days. The multivariable Cox proportional hazard regression analysis showed that low lymphocyte percentage, early-stage encephalopathy, and elevated concentration of serum LDH and BUN were independent risk factors for fatal outcomes. Received-operating characteristic curves for 7-, 14-, and 28-days survival had AUCs of 0.944 (95% CI: 0.920-0.968), 0.924 (95% CI: 0.896-0.953), and 0.924 (95% CI: 0.895-0.952), respectively. Among low-risk patients, 6 patients died (2.2%). Among moderate-risk patients, 25 patients died (24.0%, hazard ratio (HR) = 11.957). Among high-risk patients, the mortality rate was 69.1% (HR = 57.768).

Conclusion: We established a simple and practical clinical scoring system, through which we can identify critically ill patients and provide intensive medical intervention for patients as soon as possible to reduce mortality.

Publication types

  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Bunyaviridae Infections / mortality*
  • China
  • Clinical Decision Rules*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Nomograms*
  • Prognosis
  • Prospective Studies
  • Risk Factors
  • Survival Analysis

Grants and funding

This study was supported by the Special Fund For High-level Talents in Beijing Health System Project (2011-3-079), Beijing Municipal Administration of Hospitals Clinical Medicine Development of Special Funding Support (XMLX201502 and XMLX201602) and the National Science and Technology Major Project of China (2018ZX09711003). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.