Neuropsychological Outcome of Critically Ill Patients with Severe Infection

Cavalli, Irene; Mascia, Luciana

doi:10.3390/biomedicines10030526

Cited by 7 publications

(6 citation statements)

References 63 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For psychological effects, severe infection patients often require prolonged hospitalization and undergo various medical procedures and drug treatments. These processes can subject patients to considerable pain and discomfort, leading to anxiety, fear, and depression 49 . Furthermore, due to the prolonged recovery period required for severe infection, patients may encounter difficulties and challenges during rehabilitation, such as slow physical function recovery and decreased daily living capabilities, which can also have negative psychological effects.…”

Section: Discussionmentioning

confidence: 99%

The impact of different antibiotic injection regimens on patients with severe infections: A meta‐analysis

Li,

Mo,

Liang

et al. 2024

International Wound Journal

View full text Add to dashboard Cite

Severe infection is a critical health threat to humans, and antibiotic treatment is one of the main therapeutic approaches. Nevertheless, the efficacy of various antibiotic injection regimens in severe infection patients remains uncertain. This study aimed to comprehensively evaluate the impact of various antibiotic injection strategies on patients with severe infection through a meta‐analysis. Relevant research literature was collected by searching databases such as PubMed, Embase, and Cochrane Library. The retrieved literature was screened according to inclusion and exclusion criteria. Relevant data, including study design, sample size, and antibiotic regimens, were extracted from the included studies. The Cochrane Collaboration's Risk of Bias tool was employed to assess the risk of bias in each study. Statistical analysis was performed based on the results of the included studies. A total of 15 articles were included, covering various types of severe infection patients, including pulmonary and abdominal infections. The analysis provided insights into mortality rates, treatment efficacy, adverse reactions (ARs), Acute Physiology and Chronic Health Evaluation (APACHE) scores, among other outcomes. The results indicated that combination therapy was superior to monotherapy in terms of mortality rate, treatment efficacy, and APACHE scores, while the incidence of ARs was lower in the monotherapy group compared to the combination therapy group (p < 0.05). Combination therapy showed better treatment efficacy compared to monotherapy, although it was associated with a higher incidence of ARs.

show abstract

Section: Discussionmentioning

confidence: 99%

The impact of different antibiotic injection regimens on patients with severe infections: A meta‐analysis

Li,

Mo,

Liang

et al. 2024

International Wound Journal

View full text Add to dashboard Cite

show abstract

“…SAE is most common in patients with sepsis in ICU and one of its most serious complications. Its pathogenesis has not yet been fully elucidated, but it may be related to autoimmune injury of the central body inflammatory reaction [ 20 , 21 ], a blood flow regulating mechanism for the damage caused by cerebral perfusion abnormalities and microvascular dysfunction [ 22 , 23 ], or a large release of cytokines in sepsis that leads to neurotransmitter imbalance [ 24 ]. Polyneuropathy is often more severe in the later stage of SAE development, which not only affects peripheral nerves but also rapidly causes cognitive deficits, personality changes, generalized epilepsy, and other symptoms.…”

Section: Discussionmentioning

confidence: 99%

The Hemoglobin-to-Red Cell Distribution Width Ratio to Predict All-Cause Mortality in Patients with Sepsis-Associated Encephalopathy in the MIMIC-IV Database

Huang

Yuan

Ling

et al. 2022

International Journal of Clinical Practice

View full text Add to dashboard Cite

Objective. The hemoglobin-to-red cell distribution width ratio (HRR) is associated with the prognosis of sepsis-associated encephalopathy (SAE). This study aimed to determine the relationship between HRR and SAE and to clarify the possible mechanism of HRR as a prognostic factor for SAE. Methods. A multivariate Cox proportional-hazards regression model was used to assess the correlation between HRR and all-cause mortality. Piecewise linear regression and smooth-curve Cox proportional-hazards regression models were used to observe whether there was a nonlinear relationship between HRR and all-cause mortality in SAE. Results. This study included 8853 patients with SAE. A nonlinear relationship between HRR and SAE was observed through a two-segment regression model. The left inflection point for the HRR threshold was calculated to be 15.54, which was negatively correlated with all-cause mortality (HR = 0.83, 95% CI = 0.76–0.91, p < 0.001 ). Subgroup analyses revealed significant interactions between white blood cell count, glucose, and patients who received dialysis and HRR. The inverse correlation between HRR and SAE was more pronounced in patients who did not receive vasopressin (HR = 0.91, 95% CI = 0.87–0.96, p < 0.001 ) than in those who did receive vasopressin (HR = 0.94, 95% CI = 0.88–1.02, p = 0.152 ) and was significantly more pronounced in patients without myocardial infarction (HR = 0.91, 95% CI = 0.88–0.96, p < 0.001 ) than in those with myocardial infarction (HR = 0.94, 95% CI = 0.87–1.02, p < 0.114 ). Conclusion. This large retrospective study found a nonlinear relationship between all-cause mortality and HRR in patients with SAE in intensive care units, with low HRR being inversely associated with increased all-cause mortality in patients with SAE.

show abstract

“…Patients with verified sepsis according to the international consensus definitions of sepsis and septic shock sepsis-3 (Third International Consensus Definitions for Sepsis and Septic Shock, 2016), undergo clinical, laboratorial, radiological, and functional examination in order to identify nonspecific and specific functional and structural changes in the central nervous system inherent in acute cerebral injury, caused by a systemic infection. According to a number of authors, the absence of specific markers for the diagnosis of SAE complicates the diagnosis [4][5][6].…”

Section: Diagnostics Of Central Nervous System Dysfunction In Patient...mentioning

confidence: 99%

Diagnostics of Central and Autonomic Nervous System Dysfunction in Patients with Sepsis-Associated Encephalopathy

Savvina¹,

Ryzhkova²,

Bykova³

et al. 2024

Heat Illness and Critical Care

View full text Add to dashboard Cite

This chapter is devoted to monitoring of central and autonomic nervous system (ANS) in patients with verified sepsis to recognize the specific functional and anatomic changes in the brain and its important autonomic centers which is named sepsis-associated encephalopathy (SAE). Fluctuation of conscience level from agitation to delirium and coma, muscle tone, and severity of pain syndrome is evaluated with different scales (SOFA, SAPS II, RASS, CAM-ICU, FOUR, PBSS, BPS, MRC, MAS, CNS). Multimodal neuromonitoring includes EEG, EPs, ENMG, cerebral oxymetry, saturation in the bulb of the jugular vein, TCD, and neuroimaging (MRI, PET). Dysfunction of autonomic brainstem structures is detected with variational cardiointervalometry, pupillometry, thermometry (peripheral and central), photoplethysmography assessment of perfusion index, quantitative assessment of muscle strength on the MRC scale and MAS, and diagnostics of the severity of the PSH syndrome. Monitoring data help clinicians to make decisions on SAE patient management tactics.

show abstract

Neuropsychological Outcome of Critically Ill Patients with Severe Infection

Cited by 7 publications

References 63 publications

The impact of different antibiotic injection regimens on patients with severe infections: A meta‐analysis

The impact of different antibiotic injection regimens on patients with severe infections: A meta‐analysis

The Hemoglobin-to-Red Cell Distribution Width Ratio to Predict All-Cause Mortality in Patients with Sepsis-Associated Encephalopathy in the MIMIC-IV Database

Diagnostics of Central and Autonomic Nervous System Dysfunction in Patients with Sepsis-Associated Encephalopathy

Contact Info

Product

Resources

About