期刊文献+

Predictive value of initial procalcitonin level in perioperative period of critically ill cancer patients

下载PDF
导出
摘要 The predictive value of the initial procalcitonin(PCT)level was explored in the perioperative peniod of citically ill cancer patients.Background:It is quite important to predict infections in patients in the intensive care unit (ICU).Cancer surgery is characterized by large trauma,long duration,and wide operation scope;and there are many inflammatory factors in the tumor.Common manifestations of systermic inflammatory response syndrome(SIRS)。such as fever,elevated white blood cells,and elevated infammatory indicators,frequently occur in patients during the penioperative period as a result of the above factors.These factors are diverse and complex;additionally,advanced cancer and the trauma of major surgery are important factors that influence PCT blood levels.Because all of the aforementioned factors make it dificult to distinguish the postoperative inflammatory response fom the true infection in clinical practice,conventional methods cannot prediet disease sevenity or disease course.Methods:A total of 53 patients with endotracheal intubation admitted to the ICU of Tianjin Medical University Cancer Institute and Hospital from January 2020 to May 2020,were retrospectively selected.According to the patient source,35 cases were assigned to ORIG(Operating Room to ICU Group),and 18 cases were assigned to General Ward to ICU group(GWO).At the ICU admission,the patient's age,sex,surgical site of tumor,reason for ICU and other data were recorded to form a database;PCT,B-type natiuretic peptide(BNP),high sensitivity toponin I(hsTni),serumn creatinine(Cr),serum cystatin C(Cys-c)and other laboratory indicators were detected;scores of acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)and sequential organ failure assessment(SOFA)were marked 24 h after ICU admission;Proportion of Antibiotics,Time Antibiotic Application,and Time Indicators(Ventilator support Time,Endotracheal Intubation Time,ICU Stay Time)were recorded during the period from ICU admission to ICU discharge.Results:APAHCE Ⅱ score and SOFA score increased significantly in the GWIG,compared with the ORIG,and the differences were statistically significant(P<0.01);the GWIG had a significantly longer Time Antibiotic Application than the ORIG,and the difference was statistically significant(P<0.01);in tems of blood indicators,the PCT,BNP,and hsTNi levels were elevated in the GWIG compared with the ORIG,and the differences were statistically significant(p<0.01);no statistical differences were found in Cr and Cys-C levels(P>0.05).In terms of time indicators,the Ventilator support Time,Endotracheal Intubation Time,and ICU Stay Time were prolonged in the GWIG compared with the ORIG,and the differences were statistically significant(P<0.01).The PCT level was statistically signifcant(P<0.01)when correlated with the Ventilator Supporting Time and Endotracheal Intubation Time;however,the PCT level was negatively correlated with the ICU Stay Time,with a small r(correlation cofficient)value and no statistical significance(P>0.05)when correlated with the ICU Stay Time.Conclusion:The initial PCT level can predict the disease severity in critically ill cancer patients treated with mechanical ventilation during the perioperative period.
出处 《Precision Medicine Research》 2022年第1期14-18,共5页 精准医学研究
基金 supported by the Oncology Translational Medicine Seed Fund Project of Tianjin Medical University Cancer Institute and Hospital(No.1910).
  • 相关文献

参考文献1

二级参考文献9

  • 1Bryan-Brown CW, Dracup K. Looking for a few just men. Am J Crit Care, 2005,14 : 178-180.
  • 2Pilcher T, Odell M, Bray K, et al. Nurse-patient ratios in critical care. Nursing in Crit Care,2001,6:59-63.
  • 3Angus DC, Kelly MA, Schmitz RJ, White A, Popovich J, for the Committee on manpower for pulmonary and critical care societies (COMPACCS). Current and projected workforce requirements for care of the critically Ⅲ and patients with pulmonary disease. Can we meet the requirements of an aging population? JAMA, 2000,284: 2762-2770.
  • 4Tarnow-Mordi WO, Hau C, Warden A, et al. Hospital mortality in relation to staff workload: a 4-year study in an adult intensive-care unit. Lancet, 2000,356: 185-189.
  • 5Pronovost PJ, Dang D, Dorman T, et al. Intensive care unit nurse staffing and the risk for complications after abdominal aortic surgery. Eff Clin Pract,2001, 4:199-206.
  • 6Saqib I. Dara, Bekele Afessa. Intensivist-to-Bed ratio association with outcomes in the medical ICU. Chest, 2005,128:567-572.
  • 7Brill RJ, Spevetz A, Branson RD, et al. Critical care delivery in the intensive care unit: Defining clinical roles and the best practice model. Crit Care Med, 2001,29 : 2007-2019.
  • 8Pronovost PJ, Angus IXT., Dorman T, et al. Physician staffing patterns and clinical outcomes in critically ill patients. A systematic review. JAMA, 2002,288:2151-2162.
  • 9Carmel S, Rowan K. Variation in intensive care unit outcomes: a search for the evidence on organizational factors. Curr Opin Crit Care, 2001,7: 284-296.

共引文献32

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部