scholarly journals Predictive Analysis of Factors Influencing Depression Status of Nurses in the COVID-19 Pandemic Intensive Care Unit

2021 ◽  
Vol 12 ◽  
Author(s):  
Jing Li ◽  
Yanhua Zhang ◽  
Li Li ◽  
Wei Yi ◽  
Yiwei Hao ◽  
...  

Purpose: Understand the effects of the COVID-19 pandemic on depression in intensive care unit (ICU) nurses, analyze high-risk factors, and propose appropriate measures to maintain physical and mental health.Methods: A total of 78 nurses in ICU of Beijing Ditan Hospital affiliated with Capital Medical University (Beijing area, COVID-19 patient designated hospital) were investigated with self-rating depression scale (SDS). The Cronbach'sαcoefficient was 0.874, the content validity was 0.853, and the internal consistency was good. General information for the questionnaire: gender, marriage, education, age, title, length of service, ICU years of service, COVID-19 pandemic training, concerns about the COVID-19 pandemic, and current health status.Results: According to the SDS scale score, ICU nurses had a total depression score of 51.36 ± 11.667, and the prevalence rate of depression was 44.9% (35/78). Multi-line regression analysis shows that stress perception, work experience in critical diseases, education and other total scores are risk factors for the occurrence of depression.Conclusion: Work experience in critical illness (β = 9.930, P < 0.001) had a positive predictive effect on the total score of depression, while stress perception (β = −0.884, P < 0.001) and education (β = −6.061, P < 0.001) had a negative predictive effect on the total score of depression, and explained 52.7% variation. These findings point to the need for interventions to address psychological distress and provide the necessary support.

2013 ◽  
Vol 61 (S 01) ◽  
Author(s):  
J Schöttler ◽  
C Grothusen ◽  
T Attmann ◽  
C Friedrich ◽  
S Freitag-Wolf ◽  
...  

2010 ◽  
Vol 13 (4) ◽  
pp. E212-E217 ◽  
Author(s):  
Fevzi Toraman ◽  
Sahin Senay ◽  
Umit Gullu ◽  
Hasan Karabulut ◽  
Cem Alhan

2006 ◽  
Vol 63 (1) ◽  
pp. 39-46 ◽  
Author(s):  
M. Halwani ◽  
M. Solaymani-Dodaran ◽  
H. Grundmann ◽  
C. Coupland ◽  
R. Slack

Author(s):  
Enrico Buonamico ◽  
Vitaliano Nicola Quaranta ◽  
Esterina Boniello ◽  
Michela Dimitri ◽  
Valentina Di Lecce ◽  
...  

2021 ◽  
Vol 9 (7) ◽  
pp. 1505
Author(s):  
Claire Roger ◽  
Benjamin Louart

Beta-lactams are the most commonly prescribed antimicrobials in intensive care unit (ICU) settings and remain one of the safest antimicrobials prescribed. However, the misdiagnosis of beta-lactam-related adverse events may alter ICU patient management and impact clinical outcomes. To describe the clinical manifestations, risk factors and beta-lactam-induced neurological and renal adverse effects in the ICU setting, we performed a comprehensive literature review via an electronic search on PubMed up to April 2021 to provide updated clinical data. Beta-lactam neurotoxicity occurs in 10–15% of ICU patients and may be responsible for a large panel of clinical manifestations, ranging from confusion, encephalopathy and hallucinations to myoclonus, convulsions and non-convulsive status epilepticus. Renal impairment, underlying brain abnormalities and advanced age have been recognized as the main risk factors for neurotoxicity. In ICU patients, trough concentrations above 22 mg/L for cefepime, 64 mg/L for meropenem, 125 mg/L for flucloxacillin and 360 mg/L for piperacillin (used without tazobactam) are associated with neurotoxicity in 50% of patients. Even though renal complications (especially severe complications, such as acute interstitial nephritis, renal damage associated with drug induced hemolytic anemia and renal obstruction by crystallization) remain rare, there is compelling evidence of increased nephrotoxicity using well-known nephrotoxic drugs such as vancomycin combined with beta-lactams. Treatment mainly relies on the discontinuation of the offending drug but in the near future, antimicrobial optimal dosing regimens should be defined, not only based on pharmacokinetics/pharmacodynamic (PK/PD) targets associated with clinical and microbiological efficacy, but also on PK/toxicodynamic targets. The use of dosing software may help to achieve these goals.


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