scholarly journals 459: CRITICALLY ILL PATIENTS WITH SUBSTANCE USE DISORDER: A REPORT OF CLINICAL FEATURES AND OUTCOMES

2021 ◽  
Vol 50 (1) ◽  
pp. 220-220
Author(s):  
Ghassan Bandak ◽  
Mahmoud Abouzid ◽  
Ahmed Mahdi ◽  
Kanaan Mansoor ◽  
Ankit Sakhuja ◽  
...  
Keyword(s):  
Substance Use ◽  
Critically Ill ◽  
Clinical Features ◽  
Substance Use Disorder ◽  
Critically Ill Patients

scholarly journals Critically Ill vs. Non-Critically Ill Patients With COVID-19 Pneumonia: Clinical Features, Laboratory Findings, and Prediction

2021 ◽  
Vol 11 ◽  
Author(s):  
Wandong Hong ◽  
Qin Chen ◽  
Songzan Qian ◽  
Zarrin Basharat ◽  
Vincent Zimmer ◽  
...  
Keyword(s):  
Critical Illness ◽  
Disease Severity ◽  
Critically Ill ◽  
Clinical Features ◽  
Critically Ill Patients ◽  
Interleukin 6 ◽  
Discharge Rate ◽  
Laboratory Data ◽  
Laboratory Findings ◽  
Laboratory Parameters

ObjectivesThe objective of this study was to investigate the clinical features and laboratory findings of patients with and without critical COVID-19 pneumonia and identify predictors for the critical form of the disease.MethodsDemographic, clinical, and laboratory data of 63 COVID-19 pneumonia patients were retrospectively reviewed. Laboratory parameters were also collected within 3–5 days, 7–9 days, and 11–14 days of hospitalization. Outcomes were followed up until March 12, 2020.ResultsTwenty-two patients developed critically ill pneumonia; one of them died. Upon admission, older patients with critical illness were more likely to report cough and dyspnoea with higher respiration rates and had a greater possibility of abnormal laboratory parameters than patients without critical illness. When compared with the non-critically ill patients, patients with serious illness had a lower discharge rate and longer hospital stays, with a trend towards higher mortality. The interleukin-6 level in patients upon hospital admission was important in predicting disease severity and was associated with the length of hospitalization.ConclusionsMany differences in clinical features and laboratory findings were observed between patients exhibiting non-critically ill and critically ill COVID-19 pneumonia. Non-critically ill COVID-19 pneumonia also needs aggressive treatments. Interleukin-6 was a superior predictor of disease severity.

Acinetobacter baumannii in critically ill patients: Molecular epidemiology, clinical features and predictors of mortality

2016 ◽  
Vol 34 (9) ◽  
pp. 551-558 ◽  
Author(s):  
José Garnacho-Montero ◽  
Antonio Gutiérrez-Pizarraya ◽  
Ana Díaz-Martín ◽  
José Miguel Cisneros-Herreros ◽  
María Eugenia Cano ◽  
...  
Keyword(s):  
Molecular Epidemiology ◽  
Acinetobacter Baumannii ◽  
Critically Ill ◽  
Clinical Features ◽  
Critically Ill Patients ◽  
Predictors Of Mortality

scholarly journals Critically Ill Patients with Coronavirus Disease 2019 in a Designated ICU: Clinical Features and Predictors for Mortality

2020 ◽  
Vol Volume 13 ◽  
pp. 833-845 ◽  
Author(s):  
Zhao-Hua Wang ◽  
Chang Shu ◽  
Xiao Ran ◽  
Cui-Hong Xie ◽  
Lei Zhang
Keyword(s):  
Critically Ill ◽  
Clinical Features ◽  
Critically Ill Patients

scholarly journals Clinical Features and Prognosis of Invasive Ventilation in Hospitalized Patients with COVID-19: A Retrospective Study

2020 ◽  
Vol 10 (6) ◽  
Author(s):  
Poupak Rahimzadeh ◽  
Hamid Reza Faiz ◽  
Reza Farahmandrad ◽  
Babak Hassanlouei ◽  
Azadeh Habibi ◽  
...  
Keyword(s):  
Retrospective Study ◽  
Respiratory Rate ◽  
Critically Ill ◽  
Clinical Features ◽  
Critically Ill Patients ◽  
Clinical Characteristics ◽  
Laboratory Data ◽  
World Health ◽  
The Mean ◽  
Lung Ct

Background: World Health Organization (WHO) declared that the outbreak of COVID-19 constituted a public health emergency of global concern. Objectives: Owing to limited data on critically ill patients admitted to ICU, we aimed to describe the clinical characteristics and prognosis of these patients based on ventilatory variables and clinical features. Methods: In this retrospective study, 45 critically ill patients with laboratory-confirmed COVID-19 who were admitted to Intensive Care Unit (ICU) wards of the hospital from April 8 to May 9, 2020, were enrolled. Medical files of the patients were reviewed, and demographic and clinical characteristics, laboratory data, lung CT scan findings, causes of intubation, and outcomes of the patients were all collected. Results: The median age of the patients was 67 years (range 22 to 91), 64% were men, and hypertension was the most common comorbidity. History of close contact with previously confirmed patients was positive in 62.2% of the patients. The mean time from symptom onset to hospital admission was 5.98 ± 2.93 days. The most common symptoms at the onset of illness were dyspnea (95.6%), and gastrointestinal symptoms (22.2%) were rare. The average length of the intubation was 4.84 ± 3.28 days. The distribution of intubation causes in the deceased patients was significantly more than the recovered patients (P = 0.031). The mean score of lung CT involvement in deaths (370.26 ± 207.50) was significantly higher than the recovered patients (235.71 ± 81.21) (P = 0.042). Length of the intubation had a statistically direct correlation with respiratory rate (P = 0.03). Conclusions: Most of the critically ill patients admitted to ICU were older men and had poor outcomes with a high mortality rate. Furthermore, the score of chest CT involvement and respiratory rate are important prognostic factors in determining the severity of the illness, requiring ventilatory support, and outcome.

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