中华医学杂志
中華醫學雜誌
중화의학잡지
National Medical Journal of China
2012年
34期
2430-2432
,共3页
彭涛%赵国华%刘敏%赵维齐%李喜莹%王春华
彭濤%趙國華%劉敏%趙維齊%李喜瑩%王春華
팽도%조국화%류민%조유제%리희형%왕춘화
肿瘤%血小板输注%回归分析
腫瘤%血小闆輸註%迴歸分析
종류%혈소판수주%회귀분석
Neoplasms%Platelet transfusion%Regression analysis
目的 探讨肿瘤患者血小板输注效果的影响因素.方法 回顾性分析2010年1月1日至2011年6月30日在中国医学科学院肿瘤医院接受血小板输注的363例肿瘤患者资料,每例患者均采用随机数字表法抽取1次血小板输注入组分析,先进行单因素分析,然后对其中P≤0.2的因素进行多因素Logistic回归分析.结果 363例患者中280例输注有效,总体有效率为77.1％.单因素分析显示年龄、血小板输注史、发热、抗生素4种因素对输注效果有影响(均P＜0.05),多因素Logistic回归分析显示血小板输注史(1～4次相比0次,OR=1.969,95％ CI:1.135 ～3.417;≥5次相比0次,OR=5 260,95％CI:2.344 ～ 11.806)、抗生素(OR=2.020,95％ CI:1.139 ～3.583)、发热(OR=1.789,95％ CI:1.015～3.153)以及血小板库存天数(OR=1.559,95％ CI:1.112 ～2.186)为血小板输注无效的独立危险因素.结论 肿瘤患者血小板输注效果受多因素影响,减少输注次数、输注库存天数少的血小板、避免发热和使用抗生素期间输注可能改善输注效果.
目的 探討腫瘤患者血小闆輸註效果的影響因素.方法 迴顧性分析2010年1月1日至2011年6月30日在中國醫學科學院腫瘤醫院接受血小闆輸註的363例腫瘤患者資料,每例患者均採用隨機數字錶法抽取1次血小闆輸註入組分析,先進行單因素分析,然後對其中P≤0.2的因素進行多因素Logistic迴歸分析.結果 363例患者中280例輸註有效,總體有效率為77.1％.單因素分析顯示年齡、血小闆輸註史、髮熱、抗生素4種因素對輸註效果有影響(均P＜0.05),多因素Logistic迴歸分析顯示血小闆輸註史(1～4次相比0次,OR=1.969,95％ CI:1.135 ～3.417;≥5次相比0次,OR=5 260,95％CI:2.344 ～ 11.806)、抗生素(OR=2.020,95％ CI:1.139 ～3.583)、髮熱(OR=1.789,95％ CI:1.015～3.153)以及血小闆庫存天數(OR=1.559,95％ CI:1.112 ～2.186)為血小闆輸註無效的獨立危險因素.結論 腫瘤患者血小闆輸註效果受多因素影響,減少輸註次數、輸註庫存天數少的血小闆、避免髮熱和使用抗生素期間輸註可能改善輸註效果.
목적 탐토종류환자혈소판수주효과적영향인소.방법 회고성분석2010년1월1일지2011년6월30일재중국의학과학원종류의원접수혈소판수주적363례종류환자자료,매례환자균채용수궤수자표법추취1차혈소판수주입조분석,선진행단인소분석,연후대기중P≤0.2적인소진행다인소Logistic회귀분석.결과 363례환자중280례수주유효,총체유효솔위77.1％.단인소분석현시년령、혈소판수주사、발열、항생소4충인소대수주효과유영향(균P＜0.05),다인소Logistic회귀분석현시혈소판수주사(1～4차상비0차,OR=1.969,95％ CI:1.135 ～3.417;≥5차상비0차,OR=5 260,95％CI:2.344 ～ 11.806)、항생소(OR=2.020,95％ CI:1.139 ～3.583)、발열(OR=1.789,95％ CI:1.015～3.153)이급혈소판고존천수(OR=1.559,95％ CI:1.112 ～2.186)위혈소판수주무효적독립위험인소.결론 종류환자혈소판수주효과수다인소영향,감소수주차수、수주고존천수소적혈소판、피면발열화사용항생소기간수주가능개선수주효과.
Objective To explore the influencing factors of platelet transfusion effects in cancer patients.Methods A total of 363 cases of cancer patients undergoing platelet transfusion at our hospital from January 1,2010 to June 30,2011 were enrolled. Only one transfusion was randomly selected for each patient for single-factor analysis.Then a binary Logistic regression analysis was performed with transfusion effects as a dependant variable and the variables with P≤0.2 as covariates in single-factor analysis.Results Among them,there were 280 effective and 83 ineffective transfusions with an overall effective rate of 77.1％.The single-factor analysis revealed that the P values were ＜ 0.05 for age,platelet transfusion history,fever and antibiotic.Logistic analysis of multiple variables showed that platelet transfusion history( 1 -4 times compared to none,OR =1.969,95％ CI:1.135 - 3.417; ≥ 5 times compared to none,OR =5.260,95％ CI:2.344 - 11.806),antibiotic( OR =2.020,95％ CI:1.139 - 3.583),fever( OR =1.789,95％CI:1.015 -3.153) and storage days of platelets(OR =1.559,95％ CI:1.112 - 2.186) wereindependent risk factors.Conclusions Influenced by multiple factors,the effects of platelet transfusion may be improved through reducing unreasonable transfusions,using fewer storage days of platelets and avoiding transfusions during fever and antibiotic uses.
