Suppr超能文献

印度东北部某邦重症监护病房收治的危及生命感染病例中死亡临床判定的评估

Assessment of the Clinical Interpreter of Death in Life-Threatening Infective Cases Admitted in the Intensive Care Unit of a North-Eastern State of India.

作者信息

Borah Pollov, Saloi Dilip K, Deka Amarendra, Hazarika Rajib, Konwar Ranjumoni, Mahanta Putul, Kalita Deepjyoti, Phukan Chiranjita, Das Kahua

机构信息

Anaesthesiology, Jorhat Medical College and Hospital, Jorhat, IND.

Anaesthesiology, Assam Medical College and Hospital, Dibrugarh, IND.

出版信息

Cureus. 2021 Mar 16;13(3):e13915. doi: 10.7759/cureus.13915.

Abstract

Objectives The clinical factors affecting a patient's condition monitored over time could be useful not only to decide on an intervention that may increase the patients' possibilities of survival but also to predict the treatment outcome. Therefore, this study evaluates the clinical factors as predictors of mortality among severe sepsis patients admitted in the intensive care unit (ICU) of a tertiary care center. Method We did a prospective study on over 50 life-threatening infective cases with different causes admitted in the ICU. Clinical and biochemical parameters like temperature, heart rate, blood pressure, bicarbonate levels, blood lactate levels, and pH were monitored at admission, after 24 hours, and after 72 hours. The statistical analysis was done using Microsoft Excel (Microsoft Corporation, Redmond, WA) and the Statistical Package for the Social Studies (SPSS) version 22 (IBM Corp., Armonk, NY). We have obtained ethical clearance from the ethics committee (human) of Assam Medical College and Hospital, Dibrugarh. Before the collection of the data, we also took informed consent from the participants. Results The mean age of non-survivors was 44.35±11.64 years and that of survivors was 36.60±9.28 years, and the difference was statistically significant (p-value <0.003). An analysis of values of the various vital signs indicated substantial differences in the mean at different time intervals among survivors and non-survivors (p-value <0.05). Among non-survivors, mean temperature, pulse, and rate of respiration were observed to increase over time while blood pressure and oxygen saturation levels were significantly decreasing. Compared to survivors, the mean lactate levels of non-survivors at different time intervals were statistically significant (p-value <0.05). It is also observed that the pH of non-survivors was lower than survivors, and the mean pH value significantly different at different time intervals among the two groups (p-value <0.05). Conclusion The temperature, pulse, rate of respiration, blood pressure, and oxygen saturation levels are essential determinants of patient mortality in those suffering from a severe infection, besides serial lactate levels, bi-carbonate levels, and pH levels.

摘要

目的 随着时间推移,影响患者病情的临床因素不仅有助于决定采取可能提高患者生存几率的干预措施,还能预测治疗结果。因此,本研究评估了在一家三级医疗中心重症监护病房(ICU)收治的严重脓毒症患者中,作为死亡率预测指标的临床因素。方法 我们对ICU收治的50多例不同病因的危及生命的感染病例进行了前瞻性研究。在入院时、24小时后和72小时后监测临床和生化参数,如体温、心率、血压、碳酸氢盐水平、血乳酸水平和pH值。使用Microsoft Excel(微软公司,华盛顿州雷德蒙德)和社会科学统计软件包(SPSS)版本22(IBM公司,纽约州阿蒙克)进行统计分析。我们已获得迪布鲁格尔阿萨姆医学院和医院伦理委员会(人类)的伦理批准。在收集数据之前,我们还获得了参与者的知情同意。结果 非幸存者的平均年龄为44.35±11.64岁,幸存者的平均年龄为36.60±9.28岁,差异具有统计学意义(p值<0.003)。对各种生命体征值的分析表明,幸存者和非幸存者在不同时间间隔的平均值存在显著差异(p值<0.05)。在非幸存者中,观察到平均体温、脉搏和呼吸频率随时间增加,而血压和血氧饱和度水平显著下降。与幸存者相比,非幸存者在不同时间间隔的平均乳酸水平具有统计学意义(p值<0.05)。还观察到非幸存者的pH值低于幸存者,两组在不同时间间隔的平均pH值有显著差异(p值<0.05)。结论 除了连续的乳酸水平、碳酸氢盐水平和pH值外,体温、脉搏、呼吸频率、血压和血氧饱和度水平是严重感染患者死亡率的重要决定因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e09d/7962036/2488d9407935/cureus-0013-00000013915-i01.jpg

相似文献

2
Combined measurements of blood lactate concentrations and gastric intramucosal pH in patients with severe sepsis.
Crit Care Med. 1995 Jul;23(7):1184-93. doi: 10.1097/00003246-199507000-00006.
4
Performance of the Obstetric Early Warning Score in critically ill patients for the prediction of maternal death.
Am J Obstet Gynecol. 2017 Jan;216(1):58.e1-58.e8. doi: 10.1016/j.ajog.2016.09.103. Epub 2016 Oct 15.
5
Predictors of mortality and multiple organ failure in children with sepsis.
Intensive Care Med. 1997 Jun;23(6):684-92. doi: 10.1007/s001340050394.
9
A profile of metabolic acidosis in patients with sepsis in an Intensive Care Unit setting.
Int J Crit Illn Inj Sci. 2016 Oct-Dec;6(4):178-181. doi: 10.4103/2229-5151.195417.
10
[Analysis of characteristics and related risk factors of prognosis in elderly and young adult patients with acute respiratory distress syndrome].
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2014 Nov;26(11):794-8. doi: 10.3760/cma.j.issn.2095-4352.2014.11.006.

本文引用的文献

1
Clinical Examination for the Prediction of Mortality in the Critically Ill: The Simple Intensive Care Studies-I.
Crit Care Med. 2019 Oct;47(10):1301-1309. doi: 10.1097/CCM.0000000000003897.
2
Predicting 30-day mortality in patients with sepsis: An exploratory analysis of process of care and patient characteristics.
J Intensive Care Soc. 2018 Nov;19(4):299-304. doi: 10.1177/1751143718758975. Epub 2018 Feb 19.
3
Serum lactate upon emergency department arrival as a predictor of 30-day in-hospital mortality in an unselected population.
PLoS One. 2018 Jan 2;13(1):e0190519. doi: 10.1371/journal.pone.0190519. eCollection 2018.
5
High serum lactate level may predict death within 24 hours.
Open Med (Wars). 2015 Jun 11;10(1):318-322. doi: 10.1515/med-2015-0045. eCollection 2015.
6
Surviving Sepsis Campaign: International Guidelines for Management of Sepsis and Septic Shock: 2016.
Intensive Care Med. 2017 Mar;43(3):304-377. doi: 10.1007/s00134-017-4683-6. Epub 2017 Jan 18.
8
Trial of early, goal-directed resuscitation for septic shock.
N Engl J Med. 2015 Apr 2;372(14):1301-11. doi: 10.1056/NEJMoa1500896. Epub 2015 Mar 17.
9
Goal-directed resuscitation for patients with early septic shock.
N Engl J Med. 2014 Oct 16;371(16):1496-506. doi: 10.1056/NEJMoa1404380. Epub 2014 Oct 1.
10
Scoring systems in the intensive care unit: A compendium.
Indian J Crit Care Med. 2014 Apr;18(4):220-8. doi: 10.4103/0972-5229.130573.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验