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Huang QS, Han TX, Fu HX, Meng H, Zhao P, Wu YJ, He Y, Zhu XL, Wang FR, Zhang YY, Mo XD, Han W, Yan CH, Wang JZ, Chen H, Chen YH, Han TT, Lv M, Chen Y, Wang Y, Xu LP, Liu KY, Huang XJ, Zhang XH. Prognostic Factors and Outcomes in Patients With Septic Shock After Allogeneic Hematopoietic Stem Cell Transplantation. Transplant Cell Ther 2024; 30:310.e1-310.e11. [PMID: 38151106 DOI: 10.1016/j.jtct.2023.12.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 12/15/2023] [Accepted: 12/15/2023] [Indexed: 12/29/2023]
Abstract
Septic shock remains a potentially life-threatening complication among allogeneic hematopoietic stem cell transplant (allo-HSCT) recipients. There is a paucity of information on the clinical characteristics, outcome and prognostic factors of septic shock patients after allo-HSCT. We aimed to describe the clinical characteristics of septic shock after allo-HSCT and its associated health outcomes and to evaluate the role of patient demographics, transplantation-related laboratory and clinical variables associated with the short-term mortality of septic shock after allo-HSCT. We retrospectively studied 242 septic shock patients from 6105 consecutive patients allografted between 2007 and 2021. We assessed 29 risk factors as candidate predictors and used multivariable logistic regression to establish clinical model. The primary outcome was 28-day mortality. The median age of the subjects was 34 (IQR 24 to 45) years. A total of 148 patients (61.2%) had positive blood cultures. Gram-negative bacilli accounted for 61.5% of the positive isolates, gram-positive cocci accounted for 12.2%, and fungi accounted for 6.1%. Coinfections were found in 30 (20.3%) patients. Escherichia coli was the dominant isolated pathogen (31.1%), followed by Pseudomonas spp. (12.8%) and Klebsiella pneumoniae (10.1%). With a median follow-up of 34 (IQR: 2 to 528) days, a total of 142 (58.7%) patients died, of whom 118 (48.8%) died within the first 28 days after septic shock diagnosis, 131 (54.1%) died within 90 days, and 141 (58.3%) died within 1 year. A large majority of deaths (83.1% [118/142]) occurred within 28 days of septic shock diagnosis. Finally, 6 independent predictive variables of 28-day mortality were identified by multivariable logistic regression: time of septic shock, albumin, bilirubin, PaO2/FiO2, lactate, and sepsis-induced coagulopathy. Patients with late onset shock had higher 28-day mortality rates (64.6% versus 25.5%, P < .001) and more ICU admission (32.6% versus 7.1%, P < .001) than those with early onset shock. We highlight the poor survival outcomes in patients who develop septic shock, emphasizing the need for increasing awareness regarding septic shock after allo-HSCT. The information from the current study may help to assist clinicians in identifying high-risk patients.
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Affiliation(s)
- Qiu-Sha Huang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Tian-Xiao Han
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Hai-Xia Fu
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Han Meng
- Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China
| | - Peng Zhao
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Ye-Jun Wu
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Yun He
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Xiao-Lu Zhu
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Feng-Rong Wang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Yuan-Yuan Zhang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Xiao-Dong Mo
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Wei Han
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Chen-Hua Yan
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Jing-Zhi Wang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Huan Chen
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Yu-Hong Chen
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Ting-Ting Han
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Meng Lv
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Yao Chen
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Yu Wang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Lan-Ping Xu
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Kai-Yan Liu
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Xiao-Jun Huang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Xiao-Hui Zhang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China.
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De Tymowski C, Dépret F, Dudoignon E, Moreno N, Zagdanski AM, Hodjat K, Deniau B, Mebazaa A, Legrand M, Mallet V. Ketamine restriction correlates with reduced cholestatic liver injury and improved outcomes in critically ill patients with burn injury. JHEP Rep 2024; 6:100950. [PMID: 38304235 PMCID: PMC10832380 DOI: 10.1016/j.jhepr.2023.100950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Accepted: 09/29/2023] [Indexed: 02/03/2024] Open
Abstract
Background & Aims Ketamine-associated cholestatic liver injury is reported in patients with severe burn injury, but its association with patient outcome is unclear. We investigated the relationship between ketamine exposure, cholestatic liver injury, and outcome of critically ill patients with burn injury. Methods In a retrospective study, patients with severe burn injury were analysed across two periods: unrestricted ketamine prescription (ketamine-liberal) and capped ketamine dosage (ketamine-restricted). The primary endpoint was cholestatic liver injury, and the secondary endpoint was 3-month mortality. Binary logistic regression models and the revised electronic causality assessment method were used to measure the strength of associations and causality assessment, respectively. Results Of 279 patients (median age 51 [IQR 31-67] years; 63.1% men; burned surface area 28.5%, IQR 20-45%), 155 (56%) were in the ketamine-liberal group, and 124 (44%) were in the ketamine-restricted group, with comparable clinical characteristics, except for ketamine exposure (median doses 265.0 [IQR 0-8,021] mg and 20 [IQR 0-105] mg, respectively; p <0.001). A dose- and time-dependent relationship was observed between ketamine exposure and cholestatic liver injury. Ketamine restriction was associated with a reduced risk of cholestatic liver injury (adjusted odds ratio 0.16, 95% CI 0.04-0.50; p = 0.003) and with a higher probability of 3-month survival (p = 0.035). The revised electronic causality assessment method indicated that ketamine was probably and possibly the cause of cholestatic liver injury for 14 and 10 patients, respectively. Cholangitis was not observed in the ketamine-restricted group. In propensity-matched patients, the risk of 3-month mortality was higher (adjusted odds ratio 9.92, 95% CI 2.76-39.05; p = 0.001) in patients with cholestatic liver injury and ketamine exposure ≥10,000 mg. Other sedative drugs were not associated with liver and patient outcome. Conclusions In this cohort, ketamine restriction was associated with less cholestatic liver injury and reduced 3-month mortality. Impact and implications In a cohort of 279 critically ill patients with burn injury, ketamine was associated with a risk of liver bile duct toxicity. The risk was found to be dependent on both the dosage and duration of ketamine use. A restriction policy of ketamine prescription was associated with a risk reduction of liver injury and 3-month mortality. These findings have implications for the analgesia and sedation of critically ill patients with ketamine, with higher doses raising safety concerns.
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Affiliation(s)
- Christian De Tymowski
- Université Paris Cité, Paris, France
- Department of Anaesthesiology and Surgical Intensive Care Unit, Groupe Hospitalier Bichat Claude Bernard, DMU PARABOL, Assistance Publique–Hôpitaux de Paris, Paris, France
- Department of Anaesthesiology, Hôpital Louis Mourier, DMU PARABOL, Assistance Publique–Hôpitaux de Paris, Paris, France
- AP-HP.Nord, Groupe Hospitalier Saint Louis Lariboisière, DMU PARABOL, Département d’anesthésie réanimation et centre de traitement des brûlés, Paris, France
- Université Paris Cité, Centre de Recherche sur l’Inflammation, INSERM UMR 1149, CNRS ERL8252, Paris, France
| | - François Dépret
- Université Paris Cité, Paris, France
- AP-HP.Nord, Groupe Hospitalier Saint Louis Lariboisière, DMU PARABOL, Département d’anesthésie réanimation et centre de traitement des brûlés, Paris, France
- Institut National de la Santé et de la Recherche Médicale (INSERM), INSERM UMR-S 942 Mascot, Lariboisière Hospital, Paris, France
- INI-CRCT Network, Nancy, France
- FHU PROMICE, Paris, France
| | - Emmanuel Dudoignon
- Université Paris Cité, Paris, France
- AP-HP.Nord, Groupe Hospitalier Saint Louis Lariboisière, DMU PARABOL, Département d’anesthésie réanimation et centre de traitement des brûlés, Paris, France
- FHU PROMICE, Paris, France
| | - Nabila Moreno
- AP-HP.Nord, Groupe Hospitalier Saint Louis Lariboisière, Laboratoire de Biochimie, Paris, France
| | - Anne-Marie Zagdanski
- AP-HP.Nord, Groupe Hospitalier Saint Louis Lariboisière, Département de radiologie, Paris, France
| | - Kyann Hodjat
- AP-HP.Nord, Groupe Hospitalier Saint Louis Lariboisière, DMU PARABOL, Département d’anesthésie réanimation et centre de traitement des brûlés, Paris, France
| | - Benjamin Deniau
- Université Paris Cité, Paris, France
- AP-HP.Nord, Groupe Hospitalier Saint Louis Lariboisière, DMU PARABOL, Département d’anesthésie réanimation et centre de traitement des brûlés, Paris, France
- Institut National de la Santé et de la Recherche Médicale (INSERM), INSERM UMR-S 942 Mascot, Lariboisière Hospital, Paris, France
- FHU PROMICE, Paris, France
| | - Alexandre Mebazaa
- Université Paris Cité, Paris, France
- AP-HP.Nord, Groupe Hospitalier Saint Louis Lariboisière, DMU PARABOL, Département d’anesthésie réanimation et centre de traitement des brûlés, Paris, France
- Institut National de la Santé et de la Recherche Médicale (INSERM), INSERM UMR-S 942 Mascot, Lariboisière Hospital, Paris, France
- FHU PROMICE, Paris, France
| | - Matthieu Legrand
- INI-CRCT Network, Nancy, France
- Department of Anesthesia and Peri-operative Care, Division of Critical Care Medicine, University of California, San Francisco, CA, USA
| | - Vincent Mallet
- Université Paris Cité, Paris, France
- AP-HP.Nord, Groupe Hospitalier Saint Louis Lariboisière, DMU PARABOL, Département d’anesthésie réanimation et centre de traitement des brûlés, Paris, France
- Assistance Publique–Hôpitaux de Paris (AP-HP), Groupe Hospitalier Cochin Port Royal, DMU Cancérologie et spécialités médico-chirurgicales, Service de Maladie du Foie, Paris, France
| | - for the Keta-Cov research group
- Université Paris Cité, Paris, France
- Department of Anaesthesiology and Surgical Intensive Care Unit, Groupe Hospitalier Bichat Claude Bernard, DMU PARABOL, Assistance Publique–Hôpitaux de Paris, Paris, France
- Department of Anaesthesiology, Hôpital Louis Mourier, DMU PARABOL, Assistance Publique–Hôpitaux de Paris, Paris, France
- AP-HP.Nord, Groupe Hospitalier Saint Louis Lariboisière, DMU PARABOL, Département d’anesthésie réanimation et centre de traitement des brûlés, Paris, France
- Université Paris Cité, Centre de Recherche sur l’Inflammation, INSERM UMR 1149, CNRS ERL8252, Paris, France
- Institut National de la Santé et de la Recherche Médicale (INSERM), INSERM UMR-S 942 Mascot, Lariboisière Hospital, Paris, France
- INI-CRCT Network, Nancy, France
- FHU PROMICE, Paris, France
- AP-HP.Nord, Groupe Hospitalier Saint Louis Lariboisière, Laboratoire de Biochimie, Paris, France
- AP-HP.Nord, Groupe Hospitalier Saint Louis Lariboisière, Département de radiologie, Paris, France
- Department of Anesthesia and Peri-operative Care, Division of Critical Care Medicine, University of California, San Francisco, CA, USA
- Assistance Publique–Hôpitaux de Paris (AP-HP), Groupe Hospitalier Cochin Port Royal, DMU Cancérologie et spécialités médico-chirurgicales, Service de Maladie du Foie, Paris, France
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Biomarkers Predicting Tissue Pharmacokinetics of Antimicrobials in Sepsis: A Review. Clin Pharmacokinet 2022; 61:593-617. [PMID: 35218003 PMCID: PMC9095522 DOI: 10.1007/s40262-021-01102-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/13/2021] [Indexed: 02/07/2023]
Abstract
The pathophysiology of sepsis alters drug pharmacokinetics, resulting in inadequate drug exposure and target-site concentration. Suboptimal exposure leads to treatment failure and the development of antimicrobial resistance. Therefore, we seek to optimize antimicrobial therapy in sepsis by selecting the right drug and the correct dosage. A prerequisite for achieving this goal is characterization and understanding of the mechanisms of pharmacokinetic alterations. However, most infections take place not in blood but in different body compartments. Since tissue pharmacokinetic assessment is not feasible in daily practice, we need to tailor antibiotic treatment according to the specific patient’s pathophysiological processes. The complex pathophysiology of sepsis and the ineffectiveness of current targeted therapies suggest that treatments guided by biomarkers predicting target-site concentration could provide a new therapeutic strategy. Inflammation, endothelial and coagulation activation markers, and blood flow parameters might be indicators of impaired tissue distribution. Moreover, hepatic and renal dysfunction biomarkers can predict not only drug metabolism and clearance but also drug distribution. Identification of the right biomarkers can direct drug dosing and provide timely feedback on its effectiveness. Therefore, this might decrease antibiotic resistance and the mortality of critically ill patients. This article fills the literature gap by characterizing patient biomarkers that might be used to predict unbound plasma-to-tissue drug distribution in critically ill patients. Although all biomarkers must be clinically evaluated with the ultimate goal of combining them in a clinically feasible scoring system, we support the concept that the appropriate biomarkers could be used to direct targeted antibiotic dosing.
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Juschten J, Bos LDJ, de Grooth HJ, Beuers U, Girbes ARJ, Juffermans NP, Loer SA, van der Poll T, Cremer OL, Bonten MJM, Schultz MJ, Tuinman PR. Incidence, Clinical Characteristics and Outcomes of Early Hyperbilirubinemia in Critically Ill Patients: Insights From the MARS Study. Shock 2022; 57:161-167. [PMID: 34238904 PMCID: PMC8757589 DOI: 10.1097/shk.0000000000001836] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 05/19/2021] [Accepted: 06/29/2021] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To investigate the incidence, clinical characteristics and outcomes of early hyperbilirubinemia in critically ill patients. DESIGN AND SETTING This is a post hoc analysis of a prospective multicenter cohort study. PATIENTS Patients with measured bilirubin levels within the first 2 days after ICU admission were eligible. Patients with liver cirrhosis were excluded. ENDPOINTS The primary endpoint was the incidence of early hyperbilirubinemia, defined as bilirubin ≥33 μmol/L within 2 days after ICU admission. Secondary endpoints included clinical characteristics of patients with versus patients without early hyperbilirubinemia, and outcomes up to day 30. RESULTS Of 4,836 patients, 559 (11.6%) patients had early hyperbilirubinemia. Compared to patients without early hyperbilirubinemia, patients with early hyperbilirubinemia presented with higher severity of illness scores, and higher incidences of sepsis and organ failure. After adjustment for confounding variables, early hyperbilirubinemia remained associated with mortality at day 30 (odds ratio, 1.31 [95%-confidence interval 1.06-1.60]; P = 0.018). Patients with early hyperbilirubinemia and thrombocytopenia (interaction P-value = 0.005) had a higher likelihood of death within 30 days (odds ratio, 2.61 [95%-confidence interval 2.08-3.27]; P < 0.001) than patients with early hyperbilirubinemia and a normal platelet count (odds ratio, 1.09 [95%-confidence interval 0.75-1.55]; P = 0.655). CONCLUSIONS Early hyperbilirubinemia occurs frequently in the critically ill, and these patients present with higher disease severity and more often with sepsis and organ failures. Early hyperbilirubinemia has an association with mortality, albeit this association was only found in patients with concomitant thrombocytopenia.
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Affiliation(s)
- Jenny Juschten
- Department of Anesthesiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Intensive Care, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Research VUmc Intensive Care (REVIVE), Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Lieuwe D. J. Bos
- Department of Intensive Care, Amsterdam UMC, Universiteit van Amsterdam, Amsterdam, The Netherlands
- Department of Pulmonology, Amsterdam UMC, Universiteit van Amsterdam, Amsterdam, The Netherlands
| | - Harm-Jan de Grooth
- Department of Intensive Care, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Research VUmc Intensive Care (REVIVE), Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Ulrich Beuers
- Department of Gastroenterology and Hepatology, Amsterdam UMC, Universiteit van Amsterdam, Amsterdam, The Netherlands
| | - Armand R. J. Girbes
- Department of Intensive Care, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Research VUmc Intensive Care (REVIVE), Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Nicole P. Juffermans
- Department of Intensive Care Medicine, OLVG Hospital, Amsterdam, The Netherlands
| | - Stephan A. Loer
- Department of Anesthesiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Tom van der Poll
- Division of Infectious Diseases, Amsterdam UMC, Universiteit van Amsterdam, Amsterdam, The Netherlands
- Center for Experimental and Molecular Medicine (CEMM), Amsterdam UMC, Universiteit van Amsterdam, Amsterdam, The Netherlands
| | - Olaf L. Cremer
- Department of Intensive Care Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Marc J. M. Bonten
- Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Marcus J. Schultz
- Department of Intensive Care, Amsterdam UMC, Universiteit van Amsterdam, Amsterdam, The Netherlands
- Mahidol–Oxford Tropical Medicine Research Unit (MORU), Mahidol University, Bangkok, Thailand
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Pieter Roel Tuinman
- Department of Intensive Care, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Research VUmc Intensive Care (REVIVE), Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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Weng J, Hou R, Zhou X, Xu Z, Zhou Z, Wang P, Wang L, Chen C, Wu J, Wang Z. Development and validation of a score to predict mortality in ICU patients with sepsis: a multicenter retrospective study. J Transl Med 2021; 19:322. [PMID: 34325720 PMCID: PMC8319895 DOI: 10.1186/s12967-021-03005-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 07/23/2021] [Indexed: 01/21/2023] Open
Abstract
Background Early and accurate identification of septic patients at high risk for ICU mortality can help clinicians make optimal clinical decisions and improve the patients’ outcomes. This study aimed to develop and validate (internally and externally) a mortality prediction score for sepsis following admission in the ICU. Methods We extracted data retrospectively regarding adult septic patients from one teaching hospital in Wenzhou, China and a large multi-center critical care database from the USA. Demographic data, vital signs, laboratory values, comorbidities, and clinical outcomes were collected. The primary outcome was ICU mortality. Through multivariable logistic regression, a mortality prediction score for sepsis was developed and validated. Results Four thousand two hundred and thirty six patients in the development cohort and 8359 patients in three validation cohorts. The Prediction of Sepsis Mortality in ICU (POSMI) score included age ≥ 50 years, temperature < 37 °C, Respiratory rate > 35 breaths/min, MAP ≤ 50 mmHg, SpO2 < 90%, albumin ≤ 2 g/dL, bilirubin ≥ 0.8 mg/dL, lactate ≥ 4.2 mmol/L, BUN ≥ 21 mg/dL, mechanical ventilation, hepatic failure and metastatic cancer. In addition, the area under the receiver operating characteristic curve (AUC) for the development cohort was 0.831 (95% CI, 0.813–0.850) while the AUCs ranged from 0.798 to 0.829 in the three validation cohorts. Moreover, the POSMI score had a higher AUC than both the SOFA and APACHE IV scores. Notably, the Hosmer–Lemeshow (H–L) goodness-of-fit test results and calibration curves suggested good calibration in the development and validation cohorts. Additionally, the POSMI score still exhibited excellent discrimination and calibration following sensitivity analysis. With regard to clinical usefulness, the decision curve analysis (DCA) of POSMI showed a higher net benefit than SOFA and APACHE IV in the development cohort. Conclusion POSMI was validated to be an effective tool for predicting mortality in ICU patients with sepsis. Supplementary Information The online version contains supplementary material available at 10.1186/s12967-021-03005-y.
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Affiliation(s)
- Jie Weng
- Department of General Practice, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325027, China
| | - Ruonan Hou
- Department of General Practice, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325027, China
| | - Xiaoming Zhou
- Department of General Practice, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325027, China
| | - Zhe Xu
- Department of Emergency Intensive Care Unit, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325027, China
| | - Zhiliang Zhou
- Department of General Practice, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325027, China
| | - Peng Wang
- Department of General Practice, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325027, China
| | - Liang Wang
- Department of Public Health, Robbins College of Health and Human Sciences, Baylor University, Waco, TX, USA
| | - Chan Chen
- Department of Geriatric Medicine, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, 325000, China
| | - Jinyu Wu
- Institute of Genomic Medicine, Wenzhou Medical University, Wenzhou, 325000, China.
| | - Zhiyi Wang
- Department of General Practice, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325027, China. .,Institute of Bioscaffold Transplantation and Immunology, School of Basic Medical Sciences, Wenzhou Medical University, Wenzhou, 325035, China. .,Center for Health Assessment, Wenzhou Medical University, Wenzhou, China.
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Wang S, Ding S, Luo H, Chai X. International Normalized Ratio to Albumin Ratio (PTAR): An Objective Risk Stratification Tool in Patients with Sepsis. Int J Gen Med 2021; 14:1829-1841. [PMID: 34012289 PMCID: PMC8126875 DOI: 10.2147/ijgm.s305085] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 04/20/2021] [Indexed: 12/27/2022] Open
Abstract
Background Sepsis is a life-threatening multiple-organ dysfunction caused by dysregulation of host response to severe infection. Liver failure is a validated independent predictor of mortality. Accurate and rapid assessment of liver function is critical in patients with sepsis. However, an appropriate scoring system for liver function requires further development. Objective Our study aimed to validate the usefulness of the prothrombin time-international normalized ratio (PT-INR) to albumin ratio (PTAR) in predicting the mortality of patients with sepsis. Methods Data on a total of 4536 patients, obtained from the Multiparameter Intelligent Monitoring in Intensive Care III database, were included in our retrospective study. Logistic regression, Poisson regression with robust variance estimate analysis, and Cox proportional hazards models were used to explore the relationship between PTAR and mortality. Area under the curve (AUC) and decision curve analysis (DCA) were used to estimate the performance of PTAR in predicting the prognosis in septic patient. Results Multivariable Poisson regression showed that the relative risk (RR) of PTAR to ICU mortality, hospital mortality, and 28-day and 90-day mortality in septic patients was 1.26 (95% CI: 1.15-1.37), 1.24 (95% CI: 1.15-1.34), 1.23 (95% CI: 1.15-1.31), and 1.21 (95% CI: 1.13-1.28), respectively. Multivariable Cox regression showed that the hazard ratio (HR) of PTAR to 28-day mortality and 90-day mortality was 1.56 (95% CI: 1.44-1.70), and 1.55 (95% CI: 1.43-1.68), respectively. PTAR showed a moderate discrimination capacity in predicting hospital mortality (AUC: 0.655, 95% CI: 0.636-0.675) and 90-day mortality (AUC: 0.650, 95% CI: 0.633-0.667). Conclusion The PTAR scoring system is a convenient tool for predicting the prognosis of patients with sepsis.
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Affiliation(s)
- Shaoxiong Wang
- Department of Emergency Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.,Emergency Medicine and Difficult Disease Institute, The Second Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.,Trauma Center, The Second Xiangya Hospital, Central South University, Changsha,Hunan, People's Republic of China
| | - Shuizi Ding
- Department of Pulmonary and Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China
| | - Hong Luo
- Department of Pulmonary and Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China
| | - Xiangping Chai
- Department of Emergency Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.,Emergency Medicine and Difficult Disease Institute, The Second Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.,Trauma Center, The Second Xiangya Hospital, Central South University, Changsha,Hunan, People's Republic of China
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Kluge M, Tacke F. Liver impairment in critical illness and sepsis: the dawn of new biomarkers? ANNALS OF TRANSLATIONAL MEDICINE 2019; 7:S258. [PMID: 32015977 DOI: 10.21037/atm.2019.12.79] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Affiliation(s)
- Martin Kluge
- Department of Hepatology & Gastroenterology, Charité University Medicine Berlin, Berlin, Germany
| | - Frank Tacke
- Department of Hepatology & Gastroenterology, Charité University Medicine Berlin, Berlin, Germany
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Proteomic atlas of organ vasculopathies triggered by Staphylococcus aureus sepsis. Nat Commun 2019; 10:4656. [PMID: 31604940 PMCID: PMC6789120 DOI: 10.1038/s41467-019-12672-x] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Accepted: 09/21/2019] [Indexed: 01/21/2023] Open
Abstract
Sepsis is a life-threatening condition triggered by a dysregulated host response to microbial infection resulting in vascular dysfunction, organ failure and death. Here we provide a semi-quantitative atlas of the murine vascular cell-surface proteome at the organ level, and how it changes during sepsis. Using in vivo chemical labeling and high-resolution mass spectrometry, we demonstrate the presence of a vascular proteome that is perfusable and shared across multiple organs. This proteome is enriched in membrane-anchored proteins, including multiple regulators of endothelial barrier functions and innate immunity. Further, we automated our workflows and applied them to a murine model of methicillin-resistant Staphylococcus aureus (MRSA) sepsis to unravel changes during systemic inflammatory responses. We provide an organ-specific atlas of both systemic and local changes of the vascular proteome triggered by sepsis. Collectively, the data indicates that MRSA-sepsis triggers extensive proteome remodeling of the vascular cell surfaces, in a tissue-specific manner. Vascular surfaces are rapidly remodeled during systemic inflammatory responses and sepsis. Here, the authors combine in vivo biotinylation and high-resolution mass spectrometry to characterize organ-level changes of the murine vascular cell surface proteome induced by MRSA sepsis.
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