Aim: This study aimed to examine the prognostic significance of the perfusion index (PI) in mechanically ventilated patients.
Methods: Study included sixty patients who had the risk factors for the development of acute respiratory distress syndrome and received mechanical ventilator (MV) support in intensive care unit (ICU) unit between January 2017/January 2018. The demographic characteristics, vital signs, blood gas parameters, lactate levels, prognostic scores, and use of inotropic drugs were recorded. Arterial blood gas and PI measurements at the frontal region were performed at the time of and 12th and 24th hours of admission to the ICU. The patients were followed up for 60 days, and the outcome was recorded.
Results: Twelve patients (20%) died during the first 7 days, and 27 patients (45%) died within 60 days of the admission. Multivariate analyses to determine potential predictors of 7 and 30-day mortality showed that only 24th-hour lactate level was independent predictor of 60-day mortality, and the PI at 24th was the sole independent predictor of 7-day mortality.
Conclusion: The PI did not predict 60-day mortality in MV patients who had risk factors for the development of Acute Respiratory Distress Syndrome (ARDS). However, the PI at 24th may be a significant predictor of 7-day mortality.
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http://dx.doi.org/10.1080/13685538.2020.1760816 | DOI Listing |
BMC Neurol
January 2025
Department of Neurology, The First Affiliated Hospital of Zhengzhou University, 1 East Jianshe Road, Zhengzhou, China.
Background: Awareness of the characteristics of glial fibrillary acidic protein autoantibody (GFAP-IgG) associated myelitis facilitates early diagnosis and treatment. We explored features in GFAP-IgG myelitis and compared them with those in myelitis associated with aquaporin-4 IgG (AQP4-IgG) and myelin oligodendrocyte glycoprotein IgG (MOG-IgG).
Methods: We retrospectively reviewed data from patients with GFAP-IgG myelitis at the First Affiliated Hospital of Zhengzhou University and Henan Children's Hospital from May 2018 to May 2023.
BMC Pulm Med
January 2025
The First Affiliated Hospital of Sun Yat-Sen University, Guangdong, 510080, China.
Aim: The aim of this systematic review and meta-analysis was to explore the effects of different pulmonary rehabilitation on respiratory function in mechanically ventilated patients and to determine the optimal type of intervention.
Method: A comprehensive search was conducted using PubMed, Embase, Web of Science, Joanna Briggs Institute(JBI), and the Cochrane Library from their inception until September 16th, 2024. The search targeted randomized controlled trials (RCTs) comparing pulmonary rehabilitation or usual care, for improving respiratory function in mechanically ventilated patients.
BMC Infect Dis
January 2025
Department of Clinical Laboratory, Key Laboratory of Clinical Laboratory Medicine of Guangxi Department of Education, the First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Background: In clinical practice, the emergence of ST11-K64 carbapenem-resistant Klebsiella pneumoniae (ST11-K64 CRKP) has become increasingly alarming. Despite this trend, limited research has been conducted to elucidate the clinical and molecular characteristics of these strains.
Objectives: This study aimed to comprehensively investigate the clinical characteristics, antimicrobial resistance patterns, resistance and virulence-associated genes, and molecular epidemiology of ST11-K64 CRKP in Southwest China.
BMC Infect Dis
January 2025
Intensive Care Unit, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Background: Risk factors for bloodstream infection in patients with COVID-19 in the intensive care unit (ICU) remain unclear. The purpose of this systematic review was to study the risk factors for BSI in patients admitted to ICUs for COVID-19.
Methods: A systematic search was performed on PubMed, EMBASE, Cochrane Library, and Web of Science up to July 2024.
Background: Paroxysmal sympathetic hyperactivity (PSH) occurs with high prevalence among critically ill patients with traumatic brain injury (TBI) and is associated with worse outcomes. The PSH-Assessment Measure (PSH-AM) consists of a Clinical Features Scale and a diagnosis likelihood tool (DLT) intended to quantify the severity of sympathetically mediated symptoms and the likelihood that they are due to PSH, respectively, on a daily basis. Here, we aim to identify and explore the value of dynamic trends in the evolution of sympathetic hyperactivity following acute TBI using elements of the PSH-AM.
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