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Jang JH, Choi E, Kim T, Yeo HJ, Jeon D, Kim YS, Cho WH. Navigating the Modern Landscape of Sepsis: Advances in Diagnosis and Treatment. Int J Mol Sci 2024; 25:7396. [PMID: 39000503 PMCID: PMC11242529 DOI: 10.3390/ijms25137396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 06/27/2024] [Accepted: 07/03/2024] [Indexed: 07/16/2024] Open
Abstract
Sepsis poses a significant threat to human health due to its high morbidity and mortality rates worldwide. Traditional diagnostic methods for identifying sepsis or its causative organisms are time-consuming and contribute to a high mortality rate. Biomarkers have been developed to overcome these limitations and are currently used for sepsis diagnosis, prognosis prediction, and treatment response assessment. Over the past few decades, more than 250 biomarkers have been identified, a few of which have been used in clinical decision-making. Consistent with the limitations of diagnosing sepsis, there is currently no specific treatment for sepsis. Currently, the general treatment for sepsis is conservative and includes timely antibiotic use and hemodynamic support. When planning sepsis-specific treatment, it is important to select the most suitable patient, considering the heterogeneous nature of sepsis. This comprehensive review summarizes current and evolving biomarkers and therapeutic approaches for sepsis.
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Affiliation(s)
- Jin Ho Jang
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Transplantation Research Center, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea; (J.H.J.); (E.C.); (T.K.); (H.J.Y.); (D.J.); (Y.S.K.)
- Department of Internal Medicine, School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea
| | - Eunjeong Choi
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Transplantation Research Center, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea; (J.H.J.); (E.C.); (T.K.); (H.J.Y.); (D.J.); (Y.S.K.)
- Department of Internal Medicine, School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea
| | - Taehwa Kim
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Transplantation Research Center, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea; (J.H.J.); (E.C.); (T.K.); (H.J.Y.); (D.J.); (Y.S.K.)
- Department of Internal Medicine, School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea
| | - Hye Ju Yeo
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Transplantation Research Center, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea; (J.H.J.); (E.C.); (T.K.); (H.J.Y.); (D.J.); (Y.S.K.)
- Department of Internal Medicine, School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea
| | - Doosoo Jeon
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Transplantation Research Center, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea; (J.H.J.); (E.C.); (T.K.); (H.J.Y.); (D.J.); (Y.S.K.)
- Department of Internal Medicine, School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea
| | - Yun Seong Kim
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Transplantation Research Center, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea; (J.H.J.); (E.C.); (T.K.); (H.J.Y.); (D.J.); (Y.S.K.)
- Department of Internal Medicine, School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea
| | - Woo Hyun Cho
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Transplantation Research Center, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea; (J.H.J.); (E.C.); (T.K.); (H.J.Y.); (D.J.); (Y.S.K.)
- Department of Internal Medicine, School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea
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Yang B, Zhong J, Yang Y, Xu J, Liu H, Liu J. Machine learning constructs a diagnostic prediction model for calculous pyonephrosis. Urolithiasis 2024; 52:96. [PMID: 38896174 PMCID: PMC11186887 DOI: 10.1007/s00240-024-01587-y] [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: 04/06/2024] [Accepted: 05/23/2024] [Indexed: 06/21/2024]
Abstract
In order to provide decision-making support for the auxiliary diagnosis and individualized treatment of calculous pyonephrosis, the study aims to analyze the clinical features of the condition, investigate its risk factors, and develop a prediction model of the condition using machine learning techniques. A retrospective analysis was conducted on the clinical data of 268 patients with calculous renal pelvic effusion who underwent ultrasonography-guided percutaneous renal puncture and drainage in our hospital during January 2018 to December 2022. The patients were included into two groups, one for pyonephrosis and the other for hydronephrosis. At a random ratio of 7:3, the research cohort was split into training and testing data sets. Single factor analysis was utilized to examine the 43 characteristics of the hydronephrosis group and the pyonephrosis group using the T test, Spearman rank correlation test and chi-square test. Disparities in the characteristic distributions between the two groups in the training and test sets were noted. The features were filtered using the minimal absolute value shrinkage and selection operator on the training set of data. Auxiliary diagnostic prediction models were established using the following five machine learning (ML) algorithms: random forest (RF), xtreme gradient boosting (XGBoost), support vector machines (SVM), gradient boosting decision trees (GBDT) and logistic regression (LR). The area under the curve (AUC) was used to compare the performance, and the best model was chosen. The decision curve was used to evaluate the clinical practicability of the models. The models with the greatest AUC in the training dataset were RF (1.000), followed by XGBoost (0.999), GBDT (0.977), and SVM (0.971). The lowest AUC was obtained by LR (0.938). With the greatest AUC in the test dataset going to GBDT (0.967), followed by LR (0.957), XGBoost (0.950), SVM (0.939) and RF (0.924). LR, GBDT and RF models had the highest accuracy were 0.873, followed by SVM, and the lowest was XGBoost. Out of the five models, the LR model had the best sensitivity and specificity is 0.923 and 0.887. The GBDT model had the highest AUC among the five models of calculous pyonephrosis developed using the ML, followed by the LR model. The LR model was considered be the best prediction model when combined with clinical operability. As it comes to diagnosing pyonephrosis, the LR model was more credible and had better prediction accuracy than common analysis approaches. Its nomogram can be used as an additional non-invasive diagnostic technique.
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Affiliation(s)
- Bin Yang
- Department of Urology, The Second Affiliated Hospital of Kunming Medical University, NO. 374 Dianmian Avenue, Wuhua District, Kunming, 650101, China
| | - Jiao Zhong
- Department of Urology, The Second People's Hospital of Yibin City, No. 96, North Street, Yibin, 644000, China
| | - Yalin Yang
- Department of Urology, The Second Affiliated Hospital of Kunming Medical University, NO. 374 Dianmian Avenue, Wuhua District, Kunming, 650101, China
| | - Jin Xu
- Department of Urology, The Second Affiliated Hospital of Kunming Medical University, NO. 374 Dianmian Avenue, Wuhua District, Kunming, 650101, China
| | - Hua Liu
- Department of Urology, The Second Affiliated Hospital of Kunming Medical University, NO. 374 Dianmian Avenue, Wuhua District, Kunming, 650101, China
| | - Jianhe Liu
- Department of Urology, The Second Affiliated Hospital of Kunming Medical University, NO. 374 Dianmian Avenue, Wuhua District, Kunming, 650101, China.
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Thon P, Rahmel T, Ziehe D, Palmowski L, Marko B, Nowak H, Wolf A, Witowski A, Orlowski J, Ellger B, Wappler F, Schwier E, Henzler D, Köhler T, Zarbock A, Ehrentraut SF, Putensen C, Frey UH, Anft M, Babel N, Sitek B, Adamzik M, Bergmann L, Unterberg M, Koos B, Rump K. AQP3 and AQP9-Contrary Players in Sepsis? Int J Mol Sci 2024; 25:1209. [PMID: 38279209 PMCID: PMC10816878 DOI: 10.3390/ijms25021209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 01/11/2024] [Accepted: 01/15/2024] [Indexed: 01/28/2024] Open
Abstract
Sepsis involves an immunological systemic response to a microbial pathogenic insult, leading to a cascade of interconnected biochemical, cellular, and organ-organ interaction networks. Potential drug targets can depict aquaporins, as they are involved in immunological processes. In immune cells, AQP3 and AQP9 are of special interest. In this study, we tested the hypothesis that these aquaporins are expressed in the blood cells of septic patients and impact sepsis survival. Clinical data, routine laboratory parameters, and blood samples from septic patients were analyzed on day 1 and day 8 after sepsis diagnosis. AQP expression and cytokine serum concentrations were measured. AQP3 mRNA expression increased over the duration of sepsis and was correlated with lymphocyte count. High AQP3 expression was associated with increased survival. In contrast, AQP9 expression was not altered during sepsis and was correlated with neutrophil count, and low levels of AQP9 were associated with increased survival. Furthermore, AQP9 expression was an independent risk factor for sepsis lethality. In conclusion, AQP3 and AQP9 may play contrary roles in the pathophysiology of sepsis, and these results suggest that AQP9 may be a novel drug target in sepsis and, concurrently, a valuable biomarker of the disease.
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Affiliation(s)
- Patrick Thon
- Klinik für Anästhesiologie, Intensivmedizin und Schmerztherapie, Universitätsklinikum Knappschaftskrankenhaus Bochum, 44892 Bochum, Germany; (P.T.); (T.R.); (D.Z.); (L.P.); (B.M.); (H.N.); (A.W.); (J.O.); (B.S.); (M.A.); (L.B.); (M.U.); (B.K.)
| | - Tim Rahmel
- Klinik für Anästhesiologie, Intensivmedizin und Schmerztherapie, Universitätsklinikum Knappschaftskrankenhaus Bochum, 44892 Bochum, Germany; (P.T.); (T.R.); (D.Z.); (L.P.); (B.M.); (H.N.); (A.W.); (J.O.); (B.S.); (M.A.); (L.B.); (M.U.); (B.K.)
| | - Dominik Ziehe
- Klinik für Anästhesiologie, Intensivmedizin und Schmerztherapie, Universitätsklinikum Knappschaftskrankenhaus Bochum, 44892 Bochum, Germany; (P.T.); (T.R.); (D.Z.); (L.P.); (B.M.); (H.N.); (A.W.); (J.O.); (B.S.); (M.A.); (L.B.); (M.U.); (B.K.)
| | - Lars Palmowski
- Klinik für Anästhesiologie, Intensivmedizin und Schmerztherapie, Universitätsklinikum Knappschaftskrankenhaus Bochum, 44892 Bochum, Germany; (P.T.); (T.R.); (D.Z.); (L.P.); (B.M.); (H.N.); (A.W.); (J.O.); (B.S.); (M.A.); (L.B.); (M.U.); (B.K.)
| | - Britta Marko
- Klinik für Anästhesiologie, Intensivmedizin und Schmerztherapie, Universitätsklinikum Knappschaftskrankenhaus Bochum, 44892 Bochum, Germany; (P.T.); (T.R.); (D.Z.); (L.P.); (B.M.); (H.N.); (A.W.); (J.O.); (B.S.); (M.A.); (L.B.); (M.U.); (B.K.)
| | - Hartmuth Nowak
- Klinik für Anästhesiologie, Intensivmedizin und Schmerztherapie, Universitätsklinikum Knappschaftskrankenhaus Bochum, 44892 Bochum, Germany; (P.T.); (T.R.); (D.Z.); (L.P.); (B.M.); (H.N.); (A.W.); (J.O.); (B.S.); (M.A.); (L.B.); (M.U.); (B.K.)
- Center for Artificial Intelligence, Medical Informatics and Data Science, University Hospital Knappschaftskrankenhaus Bochum, 44892 Bochum, Germany
| | - Alexander Wolf
- Klinik für Anästhesiologie, Intensivmedizin und Schmerztherapie, Universitätsklinikum Knappschaftskrankenhaus Bochum, 44892 Bochum, Germany; (P.T.); (T.R.); (D.Z.); (L.P.); (B.M.); (H.N.); (A.W.); (J.O.); (B.S.); (M.A.); (L.B.); (M.U.); (B.K.)
| | - Andrea Witowski
- Klinik für Anästhesiologie, Intensivmedizin und Schmerztherapie, Universitätsklinikum Knappschaftskrankenhaus Bochum, 44892 Bochum, Germany; (P.T.); (T.R.); (D.Z.); (L.P.); (B.M.); (H.N.); (A.W.); (J.O.); (B.S.); (M.A.); (L.B.); (M.U.); (B.K.)
| | - Jennifer Orlowski
- Klinik für Anästhesiologie, Intensivmedizin und Schmerztherapie, Universitätsklinikum Knappschaftskrankenhaus Bochum, 44892 Bochum, Germany; (P.T.); (T.R.); (D.Z.); (L.P.); (B.M.); (H.N.); (A.W.); (J.O.); (B.S.); (M.A.); (L.B.); (M.U.); (B.K.)
| | - Björn Ellger
- Klinik für Anästhesiologie, Intensivmedizin und Schmerztherapie, Klinikum Westfalen, 44309 Dortmund, Germany;
| | - Frank Wappler
- Department of Anesthesiology and Operative Intensive Care Medicine, University of Witten/Herdecke, Cologne Merheim Medical School, 51109 Cologne, Germany;
| | - Elke Schwier
- Department of Anesthesiology, Surgical Intensive Care, Emergency and Pain Medicine, Ruhr-University Bochum, Klinikum Herford, 32049 Herford, Germany; (E.S.); (D.H.); (T.K.)
| | - Dietrich Henzler
- Department of Anesthesiology, Surgical Intensive Care, Emergency and Pain Medicine, Ruhr-University Bochum, Klinikum Herford, 32049 Herford, Germany; (E.S.); (D.H.); (T.K.)
| | - Thomas Köhler
- Department of Anesthesiology, Surgical Intensive Care, Emergency and Pain Medicine, Ruhr-University Bochum, Klinikum Herford, 32049 Herford, Germany; (E.S.); (D.H.); (T.K.)
| | - Alexander Zarbock
- Klinik für Anästhesiologie, Operative Intensivmedizin und Schmerztherapie, Universitätsklinikum Münster, 48149 Münster, Germany;
| | - Stefan Felix Ehrentraut
- Klinik für Anästhesiologie und Operative Intensivmedizin, Universitätsklinikum Bonn, 53127 Bonn, Germany; (S.F.E.); (C.P.)
| | - Christian Putensen
- Klinik für Anästhesiologie und Operative Intensivmedizin, Universitätsklinikum Bonn, 53127 Bonn, Germany; (S.F.E.); (C.P.)
| | - Ulrich Hermann Frey
- Marien Hospital Herne, Universitätsklinikum der Ruhr-Universität Bochum, 44625 Herne, Germany;
| | - Moritz Anft
- Center for Translational Medicine, Medical Clinic I, Marien Hospital Herne, University Hospital of the Ruhr-University Bochum, 44625 Herne, Germany; (M.A.); (N.B.)
| | - Nina Babel
- Center for Translational Medicine, Medical Clinic I, Marien Hospital Herne, University Hospital of the Ruhr-University Bochum, 44625 Herne, Germany; (M.A.); (N.B.)
| | - Barbara Sitek
- Klinik für Anästhesiologie, Intensivmedizin und Schmerztherapie, Universitätsklinikum Knappschaftskrankenhaus Bochum, 44892 Bochum, Germany; (P.T.); (T.R.); (D.Z.); (L.P.); (B.M.); (H.N.); (A.W.); (J.O.); (B.S.); (M.A.); (L.B.); (M.U.); (B.K.)
| | - Michael Adamzik
- Klinik für Anästhesiologie, Intensivmedizin und Schmerztherapie, Universitätsklinikum Knappschaftskrankenhaus Bochum, 44892 Bochum, Germany; (P.T.); (T.R.); (D.Z.); (L.P.); (B.M.); (H.N.); (A.W.); (J.O.); (B.S.); (M.A.); (L.B.); (M.U.); (B.K.)
| | - Lars Bergmann
- Klinik für Anästhesiologie, Intensivmedizin und Schmerztherapie, Universitätsklinikum Knappschaftskrankenhaus Bochum, 44892 Bochum, Germany; (P.T.); (T.R.); (D.Z.); (L.P.); (B.M.); (H.N.); (A.W.); (J.O.); (B.S.); (M.A.); (L.B.); (M.U.); (B.K.)
| | - Matthias Unterberg
- Klinik für Anästhesiologie, Intensivmedizin und Schmerztherapie, Universitätsklinikum Knappschaftskrankenhaus Bochum, 44892 Bochum, Germany; (P.T.); (T.R.); (D.Z.); (L.P.); (B.M.); (H.N.); (A.W.); (J.O.); (B.S.); (M.A.); (L.B.); (M.U.); (B.K.)
| | - Björn Koos
- Klinik für Anästhesiologie, Intensivmedizin und Schmerztherapie, Universitätsklinikum Knappschaftskrankenhaus Bochum, 44892 Bochum, Germany; (P.T.); (T.R.); (D.Z.); (L.P.); (B.M.); (H.N.); (A.W.); (J.O.); (B.S.); (M.A.); (L.B.); (M.U.); (B.K.)
| | - Katharina Rump
- Klinik für Anästhesiologie, Intensivmedizin und Schmerztherapie, Universitätsklinikum Knappschaftskrankenhaus Bochum, 44892 Bochum, Germany; (P.T.); (T.R.); (D.Z.); (L.P.); (B.M.); (H.N.); (A.W.); (J.O.); (B.S.); (M.A.); (L.B.); (M.U.); (B.K.)
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