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Diagnostics
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ICU Disease Diagnosis
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ICU Disease Diagnosis

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Clinical Laboratory Medicine".

Deadline for manuscript submissions: 31 July 2024 | Viewed by 2042

Special Issue Editor

Dr. Jungchan Park

E-Mail Website
Guest Editor
1. Department of Anesthesiology and Pain Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
2. Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Republic of Korea
Interests: ICU

Special Issue Information

Dear Colleagues,

The intensive care unit (ICU) is a crucial setting where timely and accurate disease diagnosis can be the difference between life and death for critically ill patients. This Special Issue on "ICU Disease Diagnosis" aims to gather research that focuses on innovative and effective methods for diagnosing various diseases in the ICU.

The Special Issue will cover a broad range of topics related to ICU disease diagnosis, including but not limited to the use of advanced imaging techniques, molecular and genomic approaches, biomarkers, and artificial-intelligence-based diagnostic tools. We invite researchers from diverse disciplines, such as medicine, engineering, and computer science, to submit their original research articles, reviews, and perspectives.

The goal of this Special Issue is to provide a platform for the dissemination of cutting-edge research in the field of ICU disease diagnosis, with the hope of improving the accuracy and timeliness of disease diagnosis in critical care settings. We hope that this Special Issue will contribute to the development of new and effective strategies for ICU disease diagnosis, ultimately leading to improved patient outcomes.

Dr. Jungchan Park
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • intensive care unit (ICU)
  • disease diagnosis
  • critical care
  • biomarkers
  • imaging techniques
  • artificial intelligence (AI)

Published Papers (3 papers)

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Research

13 pages, 1916 KiB  
Article
Development of Prediction Model for Intensive Care Unit Admission Based on Heart Rate Variability: A Case–Control Matched Analysis
by Dong Hyun Choi, Hyunju Lee, Hyunjin Joo, Hyoun-Joong Kong, Seung Bok Lee, Sungwan Kim, Sang Do Shin and Ki Hong Kim
Diagnostics 2024, 14(8), 816; https://doi.org/10.3390/diagnostics14080816 - 14 Apr 2024
Viewed by 512
Abstract
This study aimed to develop a predictive model for intensive care unit (ICU) admission by using heart rate variability (HRV) data. This retrospective case–control study used two datasets (emergency department [ED] patients admitted to the ICU, and patients in the operating room without [...] Read more.
This study aimed to develop a predictive model for intensive care unit (ICU) admission by using heart rate variability (HRV) data. This retrospective case–control study used two datasets (emergency department [ED] patients admitted to the ICU, and patients in the operating room without ICU admission) from a single academic tertiary hospital. HRV metrics were measured every 5 min using R-peak-to-R-peak (R-R) intervals. We developed a generalized linear mixed model to predict ICU admission and assessed the area under the receiver operating characteristic curve (AUC). Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated from the coefficients. We analyzed 610 (ICU: 122; non-ICU: 488) patients, and the factors influencing the odds of ICU admission included a history of diabetes mellitus (OR [95% CI]: 3.33 [1.71–6.48]); a higher heart rate (OR [95% CI]: 3.40 [2.97–3.90] per 10-unit increase); a higher root mean square of successive R-R interval differences (RMSSD; OR [95% CI]: 1.36 [1.22–1.51] per 10-unit increase); and a lower standard deviation of R-R intervals (SDRR; OR [95% CI], 0.68 [0.60–0.78] per 10-unit increase). The final model achieved an AUC of 0.947 (95% CI: 0.906–0.987). The developed model effectively predicted ICU admission among a mixed population from the ED and operating room. Full article
(This article belongs to the Special Issue ICU Disease Diagnosis)
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13 pages, 2019 KiB  
Article
Characterisation and Outcomes of Patients with Solid Organ Malignancies Admitted to the Intensive Care Unit: Mortality and Impact on Functional Status and Oncological Treatment
by Marta García de Herreros, Juan Carlos Laguna, Joan Padrosa, Tanny Daniela Barreto, Manoli Chicote, Carme Font, Ignacio Grafiá, Lucía Llavata, Elia Seguí, Albert Tuca, Margarita Viladot, Carles Zamora-Martínez, Sara Fernández-Méndez, Adrián Téllez, Josep Maria Nicolás, Aleix Prat, Pedro Castro-Rebollo and Javier Marco-Hernández
Diagnostics 2024, 14(7), 730; https://doi.org/10.3390/diagnostics14070730 - 29 Mar 2024
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Abstract
Background: Despite the increasing number of ICU admissions among patients with solid tumours, there is a lack of tools with which to identify patients who may benefit from critical support. We aim to characterize the clinical profile and outcomes of patients with solid [...] Read more.
Background: Despite the increasing number of ICU admissions among patients with solid tumours, there is a lack of tools with which to identify patients who may benefit from critical support. We aim to characterize the clinical profile and outcomes of patients with solid malignancies admitted to the ICU. Methods: Retrospective observational study of patients with cancer non-electively admitted to the ICU of the Hospital Clinic of Barcelona (Spain) between January 2019 and December 2019. Data regarding patient and neoplasm characteristics, ICU admission features and outcomes were collected from medical records. Results: 97 ICU admissions of 84 patients were analysed. Lung cancer (22.6%) was the most frequent neoplasm. Most of the patients had metastatic disease (79.5%) and were receiving oncological treatment (75%). The main reason for ICU admission was respiratory failure (38%). Intra-ICU and in-hospital mortality rates were 9.4% and 24%, respectively. Mortality rates at 1, 3 and 6 months were 19.6%, 36.1% and 53.6%. Liver metastasis, gastrointestinal cancer, hypoalbuminemia, elevated basal C-reactive protein, ECOG-PS greater than 2 at ICU admission, admission from ward and an APACHE II score over 14 were related to higher mortality. Functional status was severely affected at discharge, and oncological treatment was definitively discontinued in 40% of the patients. Conclusion: Medium-term mortality and functional deterioration of patients with solid cancers non-electively admitted to the ICU are high. Surrogate markers of cachexia, liver metastasis and poor ECOG-PS at ICU admission are risk factors for mortality. Full article
(This article belongs to the Special Issue ICU Disease Diagnosis)
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12 pages, 1118 KiB  
Article
Soluble Semaphorin 4D Serum Concentrations Are Elevated in Critically Ill Patients with Liver Cirrhosis and Correlate with Aminotransferases
by Samira Abu Jhaisha, Philipp Hohlstein, Eray Yagmur, Vera Köller, Maike R. Pollmanns, Jule K. Adams, Theresa H. Wirtz, Jonathan F. Brozat, Lukas Bündgens, Karim Hamesch, Ralf Weiskirchen, Frank Tacke, Christian Trautwein and Alexander Koch
Diagnostics 2024, 14(4), 370; https://doi.org/10.3390/diagnostics14040370 - 8 Feb 2024
Viewed by 641
Abstract
Semaphorin 4D (Sema4D), also known as CD100, is a multifunctional transmembrane protein with immunoregulatory functions. Upon the activation of immune cells, soluble Semaphorin 4D (sSema4D) is proteolytically cleaved from the membrane by metalloproteinases. sSema4D levels are elevated in various (auto-)inflammatory diseases. Our aim [...] Read more.
Semaphorin 4D (Sema4D), also known as CD100, is a multifunctional transmembrane protein with immunoregulatory functions. Upon the activation of immune cells, soluble Semaphorin 4D (sSema4D) is proteolytically cleaved from the membrane by metalloproteinases. sSema4D levels are elevated in various (auto-)inflammatory diseases. Our aim was to investigate sSema4D levels in association with sepsis and critical illnesses and to evaluate sSema4D’s potential as a prognostic biomarker. We measured sSema4D levels in 192 patients upon admission to our medical intensive care unit. We found similar levels of sSema4D in 125 patients with sepsis compared to 67 non-septic patients. sSema4D levels correlated with leukocytes but not with other markers of systemic inflammation such as C-reactive protein or procalcitonin. Most interestingly, in a subgroup of patients suffering from pre-existing liver cirrhosis, we observed significantly higher levels of sSema4D. Consistently, sSema4D was also positively correlated with markers of hepatic and cholestatic injury. Our study suggests that sSema4D is not regulated in sepsis compared to other causes of critical illness. However, sSema4D seems to be associated with hepatic injury and inflammation. Full article
(This article belongs to the Special Issue ICU Disease Diagnosis)
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