Rhee Chanu, Murphy Michael V, Li Lingling, Platt Richard, Klompas Michael
Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute Division of Infectious Diseases, Brigham and Women's Hospital, Boston, Massachusetts.
Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute.
Clin Infect Dis. 2015 Jan 1;60(1):88-95. doi: 10.1093/cid/ciu750. Epub 2014 Sep 25.
National reports of a dramatic rise in sepsis incidence are largely based on analyses of administrative databases. It is unclear if these estimates are biased by changes in coding practices over time.
We calculated linear trends in the annual incidence of septicemia, sepsis, and severe sepsis at 2 academic hospitals from 2003 to 2012 using 5 different claims methods and compared case identification rates to selected objective clinical markers, including positive blood cultures, vasopressors, and/or lactic acid levels.
The annual incidence of hospitalizations with sepsis claims increased over the decade, ranging from a 54% increase for the method combining septicemia, bacteremia, and fungemia codes (P < .001 for linear trend) to a 706% increase for explicit severe sepsis/septic shock codes (P = .001). In contrast, the incidence of hospitalizations with positive blood cultures decreased by 17% (P = .006), and hospitalizations with positive blood cultures with concurrent vasopressors and/or lactic acidosis remained stable (P = .098). The sensitivity of sepsis claims for capturing hospitalizations with positive blood cultures with concurrent vasopressors and/or lactic acidosis increased (P < .001 for all methods), whereas the proportion of septicemia hospitalizations with positive blood cultures decreased from 50% to 30% (P < .001).
The incidence of hospitalizations with sepsis codes rose dramatically while hospitalizations with corresponding objective clinical markers remained stable or decreased. Coding for sepsis has become more inclusive, and septicemia diagnoses are increasingly being applied to patients without positive blood cultures. These changes likely explain some of the apparent rise in sepsis incidence and underscore the need for more reliable surveillance methods.
关于脓毒症发病率急剧上升的全国性报告主要基于行政数据库分析。目前尚不清楚这些估计是否因编码实践随时间的变化而产生偏差。
我们使用5种不同的索赔方法计算了2003年至2012年2家学术医院败血症、脓毒症和严重脓毒症的年发病率线性趋势,并将病例识别率与选定的客观临床指标进行比较,包括血培养阳性、血管活性药物使用情况和/或乳酸水平。
在这十年间,脓毒症索赔住院的年发病率有所上升,从将败血症、菌血症和真菌血症代码合并的方法增加了54%(线性趋势P <.001)到明确的严重脓毒症/感染性休克代码增加了706%(P =.001)。相比之下,血培养阳性的住院发病率下降了17%(P =.006),同时伴有血管活性药物使用和/或乳酸酸中毒的血培养阳性住院发病率保持稳定(P =.098)。脓毒症索赔对于捕获同时伴有血管活性药物使用和/或乳酸酸中毒的血培养阳性住院病例的敏感性增加(所有方法P <.001),而血培养阳性的败血症住院病例比例从50%降至30%(P <.001)。
脓毒症编码的住院发病率急剧上升,而相应客观临床指标的住院发病率保持稳定或下降。脓毒症编码变得更加宽泛,败血症诊断越来越多地应用于血培养阴性的患者。这些变化可能解释了脓毒症发病率明显上升的部分原因,并强调需要更可靠的监测方法。