Unidad Docente de Medicina Preventiva y Salud Pública, Escuela Nacional de Sanidad-Instituto de Salud Carlos III, Madrid, Spain.
Servicio de Medicina Preventiva Hospital Universitario La Paz-Carlos III-Cantoblanco, Madrid, Spain.
J Infect Public Health. 2019 Jul-Aug;12(4):486-491. doi: 10.1016/j.jiph.2018.11.011. Epub 2019 Jan 19.
Identifying risk factors for complications or death associated with influenza remains crucial to target preventive interventions. Scores like the Charlson comorbidity index (CCI) may be of help. The aims of this study were to assess the effect of vaccination and comorbidities on severe influenza disease and influenza-related death among hospitalized patients during the season 2016/17; and to evaluate the validity of the CCI to predict death among these patients.
Data from adult patients (≥18 years old) with influenza infection admitted to La Paz University Hospital (LPUH) were recorded during the 2016/17 epidemic. The effect of influenza vaccine to prevent severe influenza or death was evaluated using multivariate logistic regression models. The area under the curve of the CCI and the age-adjusted CCI were compared to assess the predictive effect on mortality.
A total of 342 adult patients with influenza infection were admitted, of which 83 developed severe influenza and 25 died during hospitalization. There were no differences between patients who survived and those who died concerning the CCI, but the age-adjusted CCI was higher in fatal cases (p-value=0.005). Influenza vaccine had no statistically significant effect on the risk of mortality (p-value=0.162) while age (OR: 1.12, p-value<0.001) and dementia (OR: 3.05, p-value=0.016) proved to be independent predictors for mortality. The seasonal vaccine was found to be protective for severe infection (OR: 0.54, p-value=0.019). The age-adjusted CCI was a better predictor of mortality than the crude CCI.
Age and dementia are significant independent risk factors for mortality associated with influenza among hospitalized patients. The age-adjusted CCI seems to be a better predictor of mortality than the crude CCI. Influenza vaccine has shown to be effective in preventing severe influenza in the season 2016/17 among hospitalized patients and should be promoted in population at risk.
识别与流感相关的并发症或死亡的风险因素对于目标预防干预仍然至关重要。评分系统,如 Charlson 合并症指数(CCI)可能会有所帮助。本研究的目的是评估 2016/17 年季节中疫苗接种和合并症对住院患者严重流感疾病和流感相关死亡的影响;并评估 CCI 预测这些患者死亡的有效性。
记录了 2016/17 年流行期间入住拉巴斯大学医院(LPUH)的流感感染成年患者的数据。使用多变量逻辑回归模型评估流感疫苗预防严重流感或死亡的效果。CCI 和年龄调整后的 CCI 的曲线下面积用于评估对死亡率的预测效果。
共纳入 342 例流感感染的成年患者,其中 83 例发生严重流感,25 例在住院期间死亡。在 CCI 方面,存活患者和死亡患者之间没有差异,但致命病例的年龄调整后的 CCI 更高(p 值=0.005)。流感疫苗对死亡率没有统计学显著影响(p 值=0.162),而年龄(OR:1.12,p 值<0.001)和痴呆(OR:3.05,p 值=0.016)被证明是死亡率的独立预测因素。季节性疫苗被发现对严重感染具有保护作用(OR:0.54,p 值=0.019)。年龄调整后的 CCI 比原始 CCI 更能预测死亡率。
年龄和痴呆是住院患者流感相关死亡的重要独立危险因素。年龄调整后的 CCI 似乎比原始 CCI 更能预测死亡率。流感疫苗在 2016/17 年季节中已被证明可有效预防住院患者的严重流感,应在高危人群中推广。