Abnormal Liver Function Tests Were Related to Short- and Long-Term Prognosis in Critically Ill Patients With Primary Pulmonary Hypertension.
Abnormal Liver Function Tests Were Related to Short- and Long-Term Prognosis in Critically Ill Patients With Primary Pulmonary Hypertension.
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肝功能检查异常与原发性肺动脉高压危重患者的短期和长期预后相关
DOI：
10.3389/fcvm.2022.897040
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发表时间：
2022
影响因子：
3.6
通讯作者：
Hou, Jian
中科院分区：
文献类型：
--
作者：
Wang, Dayu;Huang, Suiqing;Xu, Guangtao;Wu, Sha;Liu, Zhen;Xu, Long;Hu, Bo;Hou, Jian
关键词：
本研究的目的是探讨肝功能测试（LFT）在预测伴有/不伴有肝病的原发性肺动脉高压（PPH）危重患者的预后中的效用。我们检索了重症监护医疗信息集市 III (MIMIC-III) 数据库来获取临床数据。我们从数据库中招募了 18 岁或以上、从重症监护病房 (ICU) 出院的原发性肺动脉高压 (PPH) 成年患者。然后，根据 Spearman 相关性检查 LFT 与住院时间和 ICU 住院时间之间的关系。进行卡方评估以检查 LFT 与死亡率之间的相关性。借助 Kaplan-Meier 技术绘制生存曲线，随后利用对数秩检验对曲线进行比较。根据多变量逻辑回归的结果，LFT被确定为死亡的独立预测变量。利用受试者工作特征（ROC）曲线和曲线下面积（AUC）计算死亡率的特异性和敏感性。总共招募了198名符合纳入标准的患者，其中有23名肝病患者。在总 PPH 组中，只有 ALB 与 ICU 住院时间相关。 ALB 独立作为医院死亡率和 90 天死亡率的风险变量，并且与总 PPH 和无肝病 PPH 的 90 天和 4 年生存率显着相关。 AST 与总 PPH 和无肝病 PPH 的医院死亡率和 90 天生存曲线相关，并且仅在总 PPH 组中独立作为医院死亡率和 90 天死亡率的危险因素。 ALT 独立作为医院死亡率的风险变量，总胆红素与总组的医院死亡率相关。结合 LFT 的预测模型对于医院死亡率、90 天死亡率和 4 年死亡率的诊断性能中等。终末期肝病模型（MELD）评分和白蛋白胆红素（ALBI）评分都是短期和长期预后的独立危险因素。它们还与短期和长期预后显着相关。在伴有或不伴有肝病的 PPH 危重患者中，LFT 异常与短期和长期预后相关。
The aim of this study was to examine the utility of liver function tests (LFTs) in predicting the prognosis of critically ill patients with primary pulmonary hypertension (PPH) with/without liver disease. We retrieved the Medical Information Mart for Intensive Care III (MIMIC-III) database to acquire clinical data. From the database, we recruited adult patients that were equal to or older than 18 years with primary pulmonary hypertension (PPH) discharge from intensive care unit (ICU). Then, the relationship between LFTs and duration of hospitalization and ICU stays was examined based on the Spearman correlation. The chi-square assessment was conducted to examine the correlation between LFTs and death rates. Survival curves were plotted with the aid of the Kaplan-Meier technique, and the curves were subsequently compared utilizing the log-rank test. The LFTs were identified as independent predictive variables of death according to the results of multivariable logistic regression. The specificity and sensitivity for mortality were calculated utilizing receiver operating characteristic (ROC) curves and the area under the curve (AUC). In total, 198 patients satisfying the inclusion criteria were recruited, among which there were 23 patients with liver disease. Only ALB was correlated with the length of ICU stay in the total PPH group. ALB independently served as a risk variable for hospital mortality and 90-day mortality and was significantly associated with 90-day and 4-year survival rates in both total PPH and PPH without liver disease. AST was correlated with hospital mortality and 90-day survival curves in both total PPH and PPH without liver disease and independently served as a risk factor for hospital and 90-day mortality only in the total PPH group. ALT independently acted as a risk variable for hospital mortality and total bilirubin was correlated with hospital mortality in the total group. The diagnostic performance of the predictive model combining the LFTs was moderately good for the hospital, 90-day, and 4-year mortality. Both Modelı End-Stage ıLiverı Disease (MELD) score and albumin-bilirubin (ALBI) score were independent risk factors for short- and long-term prognosis. And they were also significantly associated with short- and long-term prognosis. Among critically ill patients with PPH and with or without liver illness, aberrant LFT was linked to short- and long-term prognoses.
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影响因子：
9.7
作者：
Haddad, Francois;Peterson, Tyler;Zamanian, Roham T.
通讯作者：
Zamanian, Roham T.
影响因子：
3.5
作者：
Xu, Xi-Qi;Lv, Zi-Chao;Jing, Zhi-Cheng
通讯作者：
Jing, Zhi-Cheng
影响因子：
9.8
作者：
Johnson AE;Pollard TJ;Shen L;Lehman LW;Feng M;Ghassemi M;Moody B;Szolovits P;Celi LA;Mark RG
通讯作者：
Mark RG
影响因子：
3.7
作者：
Stepnowska E;Lewicka E;Dąbrowska-Kugacka A;Daniłowicz-Szymanowicz L;Zagożdżon P;Kamiński R;Lewicka-Potocka Z;Miękus P;Kozłowski D;Potocki W;Raczak G
通讯作者：
Raczak G
影响因子：
24.3
作者：
Hao, Yan-Jie;Jiang, Xin;Zhang, Zhuo-Li
通讯作者：
Zhang, Zhuo-Li