keyword
https://read.qxmd.com/read/38581312/a-principal-component-regression-based-electrophysiological-study-of-patients-with-severe-infections
#21
JOURNAL ARTICLE
Lu Li, Guanghua Pan, Jintao Wang, Jiaqi Ren, Qi Fang, Hua Xu
OBJECTIVE: Severe infections can lead to neuromyopathy in critically ill patients, resulting in limb weakness and difficulty in weaning from a ventilator. This study aims to assess the electrophysiological test results in patients with severe infection and their correlation with severity scores (APACHE II and SOFA). METHODS: Thirty-one patients with severe infection in the EICU were prospectively studied. Factor analysis and principal component regression were applied to develop linear models of electrophysiological diagnostic outcomes with APACHE II and SOFA scores for the entire patient cohort, the younger group (age<55) cohort, and the older group (age>55) cohort of patients with severe infections, respectively...
April 5, 2024: Alternative Therapies in Health and Medicine
https://read.qxmd.com/read/38576938/sofa-and-apache-ii-scoring-systems-for-predicting-outcome-of-neurological-patients-admitted-in-a-tertiary-hospital-intensive-care-unit
#22
JOURNAL ARTICLE
Sumit Shahi, Hem Paneru, Rajeev Ojha, Ragesh Karn, Reema Rajbhandari, Bikram Prasad Gajurel
BACKGROUND: The field of neurology encompasses the study and treatment of disorders that affect the nervous system, and patients with neurological conditions often require specialized care, particularly in the ICU. Predictive scoring systems are measures of disease severity used to predict patient outcomes. The aim of this study was to compare the discriminative power of commonly used scoring systems, namely the sequential organ failure assessment (SOFA) and acute physiology and chronic health evaluation II (APACHE II) in the ICU of a tertiary care hospital...
April 2024: Annals of Medicine and Surgery
https://read.qxmd.com/read/38576552/biomarkers-and-sepsis-severity-as-predictors-of-mechanical-ventilation-and-mortality-in-covid-19
#23
JOURNAL ARTICLE
O Jiménez-Zarazúa, L N Vélez-Ramírez, J D Mondragón
INTRODUCTION: Patients with septic shock face an elevated risk of mortality compared to those with sepsis. Several biomarkers, including lactate dehydrogenase, albumin, and lactate/albumin (L/A), have been associated with increased mortality in COVID-19 patients. This study aims to assess the relationship between sepsis, septic shock, and mortality, as well as the need for mechanical ventilation in COVID-19 patients. Demographic, sepsis severity factors, and biomarkers are examined. METHODS: A retrospective case series from June 2020 to March 2021 included 490 patients diagnosed with sepsis or septic shock secondary to SARS-CoV-2 pneumonia...
April 15, 2024: Heliyon
https://read.qxmd.com/read/38576212/the-impact-of-frailty-and-rapid-response-team-activation-on-patients-admitted-to-the-intensive-care-unit-a-case-control-matched-observational-single-centre-cohort-study
#24
JOURNAL ARTICLE
Christopher Dugan, Suzanne Weightman, Vanessa Palmer, Luis Schulz, Anders Aneman
BACKGROUND: Frailty is a multi-dimensional syndrome associated with mortality and adverse outcomes in patients admitted to the intensive care unit (ICU). Further investigation is warranted to explore the interplay among factors such as frailty, clinical deterioration triggering a medical emergency team (MET) review, and outcomes following admission to the ICU. METHODS: Single-centre, retrospective observational case-control study of adult patients (>18 years) admitted to a medical-surgical ICU with (cases) or without (controls) a preceding MET review between 4 h and 14 days prior...
April 4, 2024: Acta Anaesthesiologica Scandinavica
https://read.qxmd.com/read/38570560/attgru-hmsi-enhancing-heart-disease-diagnosis-using-hybrid-deep-learning-approach
#25
JOURNAL ARTICLE
G Madhukar Rao, Dharavath Ramesh, Vandana Sharma, Anurag Sinha, Md Mehedi Hassan, Amir H Gandomi
Heart disease is a major global cause of mortality and a major public health problem for a large number of individuals. A major issue raised by regular clinical data analysis is the recognition of cardiovascular illnesses, including heart attacks and coronary artery disease, even though early identification of heart disease can save many lives. Accurate forecasting and decision assistance may be achieved in an effective manner with machine learning (ML). Big Data, or the vast amounts of data generated by the health sector, may assist models used to make diagnostic choices by revealing hidden information or intricate patterns...
April 3, 2024: Scientific Reports
https://read.qxmd.com/read/38570550/aldosterone-levels-do-not-predict-28-day-mortality-in-patients-treated-for-covid-19-in-the-intensive-care-unit
#26
JOURNAL ARTICLE
Jarosław Janc, Jędrzej Jerzy Janc, Michał Suchański, Miłosz Fidut, Patrycja Leśnik
The immunotropic effects of aldosterone might play a role in COVID-19, as SARS-CoV-2 reportedly uses angiotensin-converting enzyme 2 receptors as an entry point into cells. Aldosterone function is closely linked to its action on mineralocorticoid receptors in kidneys; it increases the renal retention of sodium and the excretion of potassium, which increases blood pressure. Despite the large number of studies examining the effect of Ang-II and its blockers on the course of COVID-19 infection, there is still uncertainty about the role of aldosterone...
April 3, 2024: Scientific Reports
https://read.qxmd.com/read/38567604/analysis-of-risk-factors-affecting-the-prognosis-of-patients-with-sepsis-and-construction-of-nomogram-prediction-model
#27
JOURNAL ARTICLE
S-H Cui, C-Y Liang, Y-F Hao
OBJECTIVE: This study analyzed the clinical data of 200 sepsis patients, exploring the risk factors that affect patient prognosis and providing the basis for clinically targeted intervention to improve patient prognosis. PATIENTS AND METHODS: 200 septic patients were admitted to Yulin Second Hospital, and they were divided into a survival group of 151 patients and a death group of 49 patients, according to their clinical outcomes on admission. The relevant clinical parameters within 24 h of admission were collected, and the independent risk factors affecting the prognosis of septic patients were analyzed by multivariate Logistic regression...
March 2024: European Review for Medical and Pharmacological Sciences
https://read.qxmd.com/read/38565087/an-explainable-artificial-intelligence-model-to-predict-malignant-cerebral-edema-after-acute-anterior-circulating-large-hemisphere-infarction
#28
JOURNAL ARTICLE
Liping Cao, Xiaoming Ma, Wendie Huang, Geman Xu, Yumei Wang, Meng Liu, Shiying Sheng, Keshi Mao
INTRODUCTION: Malignant cerebral edema (MCE) is a serious complication and the main cause of poor prognosis in patients with large-hemisphere infarction (LHI). Therefore, the rapid and accurate identification of potential patients with MCE is essential for timely therapy. This study utilized an artificial intelligence-based machine learning approach to establish an interpretable model for predicting MCE in patients with LHI. METHODS: This study included 314 patients with LHI not undergoing recanalization therapy...
April 2, 2024: European Neurology
https://read.qxmd.com/read/38563646/improving-1-year-mortality-following-intensive-care-unit-admission-in-adults-with-hiv-a-20-year-observational-study
#29
JOURNAL ARTICLE
Tanmay Kanitkar, Nicholas Bakewell, Oshani Dissanayake, Maggie Symonds, Stephanie Rimmer, Amit Adlakha, Marc C I Lipman, Sanjay Bhagani, Banwari Agarwal, Caroline A Sabin, Robert F Miller
BACKGROUND: Despite widespread use of combination antiretroviral therapy, people with HIV (PWH) continue to have an increased risk of admission to and mortality in the intensive care unit (ICU). Mortality risk after hospital discharge is not well described. Using retrospective data on adult PWH (≥18 years) admitted to ICU from 2000-2019 in an HIV-referral centre, we describe trends in 1-year mortality after ICU admission. METHODS: One-year mortality was calculated from index ICU admission to date of death; with follow-up right-censored at day 365 for people remaining alive at 1 year, or day 7 after ICU discharge if lost-to-follow-up after hospital discharge...
April 2, 2024: Journal of Intensive Care Medicine
https://read.qxmd.com/read/38562806/unsupervised-machine-learning-analysis-to-identify-patterns-of-icu-medication-use-for-fluid-overload-prediction
#30
Kelli Keats, Shiyuan Deng, Xianyan Chen, Tianyi Zhang, John W Devlin, David J Murphy, Susan E Smith, Brian Murray, Rishikesan Kamaleswaran, Andrea Sikora
INTRODUCTION: Intravenous (IV) medications are a fundamental cause of fluid overload (FO) in the intensive care unit (ICU); however, the association between IV medication use (including volume), administration timing, and FO occurrence remains unclear. METHODS: This retrospective cohort study included consecutive adults admitted to an ICU ≥72 hours with available fluid balance data. FO was defined as a positive fluid balance ≥7% of admission body weight within 72 hours of ICU admission...
March 22, 2024: medRxiv
https://read.qxmd.com/read/38560973/outcomes-and-long-term-survival-of-adolescent-and-young-adult-patients-admitted-to-the-intensive-care-unit-following-allogeneic-hematopoietic-stem-cell-transplantation-a-single-center-experience-of-152-patients
#31
JOURNAL ARTICLE
Othman M Solaiman, Tusneem Elhassan, Riad E Fakih, Abdul Mannan, Zainab Alduhailib, Ashwaq A Mahdali, Hazzaa Alzahrani, Mouhamad Jamil, Naeem Chaudhri, Alyaa Elhazmi, Mohammad Kolko, Fahad Z Al-Sharif, Abdullah Alrbiaan, Mohammed Shaban, Marwan Shaheen, Nawal Salahuddin, Feras A Alfraih, Ashraf S Altarifi, Mona Hassanein, Sulaiman Hosaini, Noura Alhashim, Alaa A Mohamed, Amr Hanbali, Ali H Aljanoubi, Nadia R Al-Obaidi, Walid Rasheed, Khalid Maghrabi, Fahad Almohareb, Ayman Soubani, Mahmoud Aljurf, Syed O Ahmed
BACKGROUND AND OBJECTIVES: Prognostic factors reliably predicting outcomes for critically ill adolescent and young adult (AYA) patients undergoing allogeneic hematopoietic cell transplantation (allo-HSCT) are lacking. We assessed transplant and intensive care unit (ICU)-related factors impacting patient outcomes. PATIENTS AND METHODS: AYA patients who underwent allo-HSCT and required ICU admission at a Tertiary care Centre, during the period of 2003-2013, were included in this retrospective review...
March 22, 2024: Hematology/oncology and Stem Cell Therapy
https://read.qxmd.com/read/38560707/immune-dysfunction-associated-elevated-rdw-apache-ii-and-sofa-scores-were-a-possible-cause-of-28-day-mortality-in-sepsis-patients
#32
JOURNAL ARTICLE
Jing Wang, Lisha He, Zhiyan Jin, Guoguang Lu, Sufei Yu, Lingling Hu, Meidan Fang, Xiaxia Jin
OBJECTIVE: To explore the early predictors and their predicting value of 28-day mortality in sepsis patients and to investigate the possible causes of death. METHODS: 127 sepsis patients were included, including 79 cases in the survival group and 48 cases in the death group. The results of all patients on admission were recorded. After screening the risk factors of 28-day mortality, the receiver operating characteristic curve (ROC) was used to determine their predictive value for the 28-day mortality rate on admission, and the Kaplan-Meier curve was drawn to compare the 28-day mortality rate between groups...
2024: Infection and Drug Resistance
https://read.qxmd.com/read/38560228/real-time-driver-identification-in-iov-a-deep-learning-and-cloud-integration-approach
#33
JOURNAL ARTICLE
Hassan Muwafaq Gheni, Laith A AbdulRahaim, Abdallah Abdellatif
The Internet of Vehicles (IoV) emerges as a pivotal extension of the Internet of Things (IoT), specifically geared towards transforming the automotive landscape. In this evolving ecosystem, the demand for a seamless end-to-end system becomes paramount for enhancing operational efficiency and safety. Hence, this study introduces an innovative method for real-time driver identification by integrating cloud computing with deep learning. Utilizing the integrated capabilities of Google Cloud, Thingsboard, and Apache Kafka, the developed solution tailored for IoV technology is adept at managing real-time data collection, processing, prediction, and visualization, with resilience against sensor data anomalies...
April 15, 2024: Heliyon
https://read.qxmd.com/read/38551426/nursing-based-on-humanistic-care-concept-for-continuous-blood-purification-for-patients-with-severe-sepsis-in-the-intensive-care-unit
#34
JOURNAL ARTICLE
Meimei Fan, Shengnan Zhu, Mei Liu, Aili Cao, Fan Jiang, Rui Wang
CONTEXT: Mortality from severe sepsis has been declining in recent years but remains a challenge worldwide because it remains the most frequent cause of death in ICUs. High-quality nursing care during a patient's CBP can play an important role in promoting a patient's physical condition. OBJECTIVE: The study intended to explore the effects of nursing based on a humanistic care concept on continuous blood purification (CBP) treatment for patients with severe sepsis in an intensive care unit (ICU)...
March 29, 2024: Alternative Therapies in Health and Medicine
https://read.qxmd.com/read/38549601/is-flexible-bronchoscopy-a-safe-procedure-for-critical-care-patients-with-respiratory-failure
#35
JOURNAL ARTICLE
Aslıhan Gürün Kaya, Miraç Öz, Umut Dilegelen, Duygu Ecer, Serhat Erol, Fatma Çiftçi, Aydın Çiledağ, Akın Kaya
Flexible bronchoscopy (FB) plays an important role in critical care patients. But, critical care patients with respiratory failure are at an increased risk of developing complications. Considering the developments in intensive care unit care in recent years, we aimed to evaluate the use of FB in these patients. We retrospectively reviewed patients who underwent FB in critical care between 2014 and 2020. A total of 143 patients underwent FB during the study period. Arterial blood gas measurement on the FB day revealed a mean PaO2 /FiO2 of 186...
August 2023: Acta Clinica Croatica
https://read.qxmd.com/read/38548548/the-comfort-perception-in-the-critically-ill-patient-from-the-kolcaba-theoretical-model
#36
JOURNAL ARTICLE
M D Gonzalez-Baz, E Pacheco-Del Cerro, M I Durango-Limárquez, A Alcantarilla-Martín, R Romero-Arribas, J Ledesma-Fajardo, M N Moro-Tejedor
BACKGROUND: The stay in a critical care unit (CCU) has a serious impact on physical condition causing numerous discomfort factors such as pain or difficulty in communicating. All of these are associated with possible sequelae following discharge from the Intensive Care Unit (ICU) named post-ICU syndrome. The Kolcaba Comfort Theory allows, from a holistic approach, to identify care needs from the patient's perspective using instruments such as the General Comfort Questionnaire (GCQ). OBJECTIVES: To determine the comfort level of patients admitted to the CCU using the GCQ of Kolcaba and to identify the discomfort factors...
March 27, 2024: Enfermería intensiva
https://read.qxmd.com/read/38546383/value-of-serum-iron-and-urine-neutrophil-gelatinase-associated-lipocalin-in-predicting-the-mortality-of-critically-ill-patients-with-sepsis
#37
JOURNAL ARTICLE
Rui Zhao, Jiang-Hua Liu, Ze-Liang Qiu
INTRODUCTION: We aimed to investigate the association of iron metabolism-related parameters with 60-day mortality in critically ill patients with sepsis. METHODS: Serum or urine concentrations of iron metabolism-related parameters on intensive care unit admission were measured in a prospective cohort of 133 eligible patients with sepsis according to the Sepsis-3 criteria, and these values were compared between survivors and nonsurvivors, categorized according to their 60-day survival status...
March 1, 2024: Clinical and Investigative Medicine. Médecine Clinique et Experimentale
https://read.qxmd.com/read/38545639/prediction-of-hospital-mortality-among-critically-ill-patients-in-a-single-centre-in-asia-comparison-of-artificial-neural-networks-and-logistic-regression-based-model
#38
JOURNAL ARTICLE
S Lau, H P Shum, C C Y Chan, M Y Man, K B Tang, K K C Chan, A K H Leung, W W Yan
INTRODUCTION: This study compared the performance of the artificial neural network (ANN) model with the Acute Physiologic and Chronic Health Evaluation (APACHE) II and IV models for predicting hospital mortality among critically ill patients in Hong Kong. METHODS: This retrospective analysis included all patients admitted to the intensive care unit of Pamela Youde Nethersole Eastern Hospital from January 2010 to December 2019. The ANN model was constructed using parameters identical to the APACHE IV model...
March 28, 2024: Hong Kong Medical Journal
https://read.qxmd.com/read/38545173/effect-of-hyperbaric-oxygen-treatment-on-patients-with-heatstroke-complicated-by-multiple-organ-dysfunction-a-retrospective-study
#39
JOURNAL ARTICLE
Xiao-Xiao Ni, Nian-Bo He, Ye-Qun Guo, Yi-Xuan Dou, Xiao-Juan Xie, Zhi-Feng Liu
BACKGROUND: The benefits of hyperbaric oxygen (HBO) in treating animals with heat stroke (HS) have been established. This study aims to retrospectively analyze the effect of HBO on multiple organ dysfunction following HS in humans. METHODS: Retrospective data were collected from patients with HS admitted to our hospital in the past 7 years. Patients were categorized into groups based on whether they received HBO therapy. The study compared various factors, including sequential organ failure assessment (SOFA) and acute physiology and chronic health evaluation-Ⅱ (APACHE-Ⅱ) scores, mortality rates, neurological function scores, serum myocardial enzyme levels, liver, kidney, and coagulation function indicators, blood routine results, electrolyte levels, and modified Barthel index (MBI) score for standard daily living ability before treatment and after 2 and 4 weeks of treatment...
March 30, 2024: Heliyon
https://read.qxmd.com/read/38540653/factors-influencing-morbidity-and-mortality-rates-in-tertiary-intensive-care-units-in-turkey-a-retrospective-cross-sectional-study
#40
JOURNAL ARTICLE
Ümit Murat Parpucu, Onur Küçük, Semih Aydemir
BACKGROUND AND OBJECTIVES: The objective of this study was to determine the correlation between the prognosis of patients admitted to a tertiary intensive care unit (ICU) and the admitted patient population, intensive care conditions, and the workload of intensive care staff. MATERIALS AND METHODS: This was a retrospective cross-sectional study that analyzed data from all tertiary ICUs (a minimum of 40 and a maximum of 59 units per month) of eight training and research hospitals between January 2022 and May 2023...
March 19, 2024: Healthcare (Basel, Switzerland)
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