Infection After Intracerebral Hemorrhage Risk Factors and Association With Outcomes in the Ethnic/Racial Variations of Intracerebral Hemorrhage Study

被引:72
|
作者
Lord, Aaron S. [1 ]
Langefeld, Carl D. [2 ]
Sekar, Padmini [3 ]
Moomaw, Charles J. [3 ]
Badjatia, Neeraj [4 ]
Vashkevich, Anastasia [5 ]
Rosand, Jonathan [5 ]
Osborne, Jennifer [3 ]
Woo, Daniel [3 ]
Elkind, Mitchell S. V. [6 ,7 ]
机构
[1] NYU, Dept Neurol, Sch Med, New York, NY 10016 USA
[2] Wake Forest Univ, Ctr Publ Hlth Genom, Dept Biostat Sci, Winston Salem, NC 27109 USA
[3] Univ Cincinnati, Dept Neurol & Rehabil Med, Coll Med, Cincinnati, OH 45221 USA
[4] Univ Maryland, Sch Med, Dept Neurol, Baltimore, MD 21201 USA
[5] Harvard Univ, Massachusetts Gen Hosp, Sch Med, Dept Neurol, Boston, MA USA
[6] Columbia Univ, Dept Neurol, New York, NY USA
[7] Columbia Univ, Dept Epidemiol, New York, NY USA
关键词
cerebral hemorrhage; infection; outcomes assessment (health care); risk factors; ACUTE ISCHEMIC-STROKE; TRIALS; COMPLICATIONS; SCALE;
D O I
10.1161/STROKEAHA.114.006435
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background and Purpose-Risk factors for infections after intracerebral hemorrhage (ICH) and their association with outcomes are unknown. We hypothesized there are predictors of poststroke infection and infections drive worse outcomes. Methods-We determined prevalence of infections in a multicenter, triethnic study of ICH. We performed univariate and multivariate analyses to determine the association of infection with admission characteristics and hospital complications. We performed logistic regression on association of infection with outcomes after controlling for known determinants of prognosis after ICH (volume, age, infratentorial location, intraventricular hemorrhage, and Glasgow Coma Scale). Results-Among 800 patients, infections occurred in 245 (31%). Admission characteristics associated with infection in multivariable models were ICH volume (odds ratio [OR], 1.02/mL; 95% confidence interval [CI], 1.01-1.03), lower Glasgow Coma Scale (OR, 0.91 per point; 95% CI, 0.87-0.95), deep location (reference lobar: OR, 1.90; 95% CI, 1.28-2.88), and black race (reference white: OR, 1.53; 95% CI, 1.01-2.32). In a logistic regression of admission and hospital factors, infections were associated with intubation (OR, 3.1; 95% CI, 2.1-4.5), dysphagia (with percutaneous endoscopic gastrostomy: OR, 3.19; 95% CI, 2.03-5.05 and without percutaneous endoscopic gastrostomy: OR, 2.11; 95% CI, 1.04-4.23), pulmonary edema (OR, 3.71; 95% CI, 1.29-12.33), and deep vein thrombosis (OR, 5.6; 95% CI, 1.86-21.02), but not ICH volume or Glasgow Coma Scale. Infected patients had higher discharge mortality (16% versus 8%; P=0.001) and worse 3-month outcomes (modified Rankin Scale >= 3; 80% versus 51%; P<0.001). Infection was an independent predictor of poor 3-month outcome (OR, 2.6; 95% CI, 1.8-3.9). Conclusions-There are identifiable risk factors for infection after ICH, and infections predict poor outcomes.
引用
下载
收藏
页码:3535 / +
页数:11
相关论文
共 50 条
  • [31] Old cerebral microbleeds are associated with risk of intracerebral hemorrhage: A prospective study on the microangiopathic features as risk factors for intracerebral hemorrhage
    Lee, SH
    Bae, HJ
    Roh, JK
    STROKE, 2003, 34 (01) : 262 - 263
  • [32] Risk factors for intracerebral hemorrhage in a pooled prospective study
    Sturgeon, Jared D.
    Folsom, Aaron R.
    Longstreth, W. T., Jr.
    Shahar, Eyal
    Rosamond, Wayne D.
    Cushman, Mary
    STROKE, 2007, 38 (10) : 2718 - 2725
  • [33] Risk factors for and outcomes of heatstroke-related intracerebral hemorrhage
    Lin, Guodong
    Xu, Chongxiao
    Wu, Jieyi
    Peng, Hailun
    Liu, Anwei
    He, Xuan
    Chen, Wenda
    Hou, Xiaogan
    Wen, Qiang
    Pan, Zhiguo
    MEDICINE, 2024, 103 (16) : E37739
  • [34] Anti-Epileptic Drug Use and Outcome in the Ethnic and Racial Variations in Intracerebral Hemorrhage (ERICH) Study
    Sheth, Kevin
    Koch, Sebastian
    Elkind, Mitchell
    Sung, Gene
    Kittner, Steven
    Frankel, Michael
    Rosand, Jonathan
    Langefeld, Carl
    Comeau, Mary
    Waddy, Salina
    Osborne, Jennifer
    Woo, Daniel
    NEUROLOGY, 2012, 78
  • [35] Risk Factors for Intracerebral Hemorrhage The REasons for Geographic And Racial Differences in Stroke (REGARDS) Study
    Howard, George
    Cushman, Mary
    Howard, Virginia J.
    Kissela, Brett M.
    Kleindorfer, Dawn O.
    Moy, Claudia S.
    Switzer, Jeffery
    Woo, Daniel
    STROKE, 2013, 44 (05) : 1282 - 1287
  • [36] Racial/ethnic variation of APOE alleles for lobar intracerebral hemorrhage
    Sawyer, Russell P.
    Sekar, Padmini
    Osborne, Jennifer
    Kittner, Steven J.
    Moomaw, Charles J.
    Flaherty, Matthew L.
    Langefeld, Carl D.
    Anderson, Christopher D.
    Rosand, Jonathan
    Woo, Daniel
    NEUROLOGY, 2018, 91 (05) : E410 - E420
  • [37] Risk of readmission for infection after surgical intervention for intracerebral hemorrhage
    Kaur, Gurmeen
    Stein, Laura K.
    Boehme, Amelia
    Liang, John W.
    Tuhrim, Stanley
    Mocco, J.
    Dhamoon, Mandip S.
    JOURNAL OF THE NEUROLOGICAL SCIENCES, 2019, 399 : 161 - 166
  • [38] Race-Ethnic Disparities in Intracerebral Hemorrhage Outcomes
    Bustillo, Antonio
    Hassouneh, Zakariya
    Wang Kefeng
    Gardener, Hannah
    Gutierrez, Carolina M.
    Sur, Nicole B.
    Asdaghi, Negar
    Romano, Jose G.
    Rundek, Tatjana
    Ayodele, Maranatha
    Marulanda-londono, Erika T.
    Sacco, Ralph L.
    Koch, Sebastian
    STROKE, 2021, 52
  • [39] Racial/Ethnic Differences in Process of Care and Outcomes Among Patients Hospitalized With Intracerebral Hemorrhage
    Xian, Ying
    Holloway, Robert G.
    Smith, Eric E.
    Schwamm, Lee H.
    Reeves, Mathew J.
    Bhatt, Deepak L.
    Schulte, Phillip J.
    Cox, Margueritte
    Olson, DaiWai M.
    Hernandez, Adrian F.
    Lytle, Barbara L.
    Anstrom, Kevin J.
    Fonarow, Gregg C.
    Peterson, Eric D.
    STROKE, 2014, 45 (11) : 3243 - 3250
  • [40] Risk factors for intracerebral hemorrhage differ according to hemorrhage location
    Martini, Sharyl R.
    Flaherty, Matthew L.
    Brown, W. Mark
    Haverbusch, Mary
    Comeau, Mary E.
    Sauerbeck, Laura R.
    Kissela, Brett M.
    Deka, Ranjan
    Kleindorfer, Dawn O.
    Moomaw, Charles J.
    Broderick, Joseph P.
    Langefeld, Carl D.
    Woo, Daniel
    NEUROLOGY, 2012, 79 (23) : 2275 - 2282