Prevalence and factors affecting the level of depression, anxiety, and stress in hospitalized patients with a chronic disease

2019 ◽  
Vol 55 (4) ◽  
pp. 592-599 ◽  
Author(s):  
Nour Fattouh ◽  
Souheil Hallit ◽  
Pascale Salameh ◽  
Georges Choueiry ◽  
Francois Kazour ◽  
...  
Keyword(s):  
Chronic Disease ◽  
Hospitalized Patients ◽  
Factors Affecting

scholarly journals Emergency tracheal intubation during off-hours is not associated with increased mortality in hospitalized patients: a retrospective cohort study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Jun-Le Liu ◽  
Jian-Wen Jin ◽  
Zhong-Meng Lai ◽  
Jie-Bo Wang ◽  
Jian-Sheng Su ◽  
...  
Keyword(s):  
Cox Regression ◽  
Vital Signs ◽  
Hospitalized Patients ◽  
University Teaching ◽  
Factors Affecting ◽  
Cox Regression Analysis ◽  
Icu Admission ◽  
Risk Of Death ◽  
Surgical Ward ◽  
Significant Factors

Abstract Background The prognosis of hospitalized patients after emergent endotracheal intubation (ETI) remains poor. Our aim was to evaluate the 30-d hospitalization mortality of subjects undergoing ETI during daytime or off-hours and to analyze the possible risk factors affecting mortality. Methods A single-center retrospective study was performed at a university teaching facility from January 2015 to December 2018. All adult inpatients who received ETI in the general ward were included. Information on patient demographics, vital signs, ICU (Intensive care unit) admission, intubation time (daytime or off-hours), the department in which ETI was performed (surgical ward or medical ward), intubation reasons, and 30-d hospitalization mortality after ETI were obtained from a database. Results Over a four-year period, 558 subjects were analyzed. There were more male than female in both groups (115 [70.1%] vs 275 [69.8%]; P = 0.939). A total of 394 (70.6%) patients received ETI during off-hours. The patients who received ETI during the daytime were older than those who received ETI during off-hours (64.95 ± 17.54 vs 61.55 ± 17.49; P = 0.037). The BMI of patients who received ETI during the daytime was also higher than that of patients who received ETI during off-hours (23.08 ± 3.38 vs 21.97 ± 3.25; P < 0.001). The 30-d mortality after ETI was 66.8% (373), which included 68.0% (268) during off-hours and 64.0% (105) during the daytime (P = 0.361). Multivariate Cox regression analysis found that the significant factors for the risk of death within 30 days included ICU admission (HR 0.312, 0.176–0.554) and the department in which ETI was performed (HR 0.401, 0.247–0.653). Conclusions The 30-d hospitalization mortality after ETI was 66.8%, and off-hours presentation was not significantly associated with mortality. ICU admission and ETI performed in the surgical ward were significant factors for decreasing the risk of death within 30 days. Trial registration This trial was retrospectively registered with the registration number of ChiCTR2000038549.

Factors Affecting Opioid Use in Hospitalized Patients with Acute Pancreatitis

2017 ◽  
Vol 152 (5) ◽  
pp. S289-S290
Author(s):  
Nasim Parsa ◽  
Mahya Faghih ◽  
Robert Moran ◽  
Ayesha Kamal ◽  
Niloofar Yahyapourjalaly ◽  
...  
Keyword(s):  
Acute Pancreatitis ◽  
Hospitalized Patients ◽  
Opioid Use ◽  
Factors Affecting

scholarly journals Respecting the privacy of hospitalized patients: An integrative review

2018 ◽  
pp. 096973301875983 ◽  
Author(s):  
Tayebeh Hasan Tehrani ◽  
Sadat Seyed Bagher Maddah ◽  
Masoud Fallahi-Khoshknab ◽  
Abbas Ebadi ◽  
Farahnaz Mohammadi Shahboulaghi ◽  
...  
Keyword(s):  
Healthcare Providers ◽  
Hospitalized Patients ◽  
Integrative Review ◽  
Patient Privacy ◽  
Factors Affecting ◽  
Multiple Dimensions ◽  
Conventional Content Analysis ◽  
Antecedents And Consequences ◽  
Rehabilitation Sciences ◽  
The University

Background: Privacy is a complicated and obscure concept, which has special meanings in the healthcare environment; therefore, it is essential for healthcare providers to fully understand this concept. However, there is no universally accepted definition for this concept in the texts, and it has been interpreted differently, based on its application. Aim: To analyze and provide a clear and scientific definition for respect of privacy of hospitalized patients and identify the common aspects of this concept. Research design: This study was conducted using the Whittemore and Knafl’s modified framework as a conceptual analysis method. Ethical consideration: This study was approved by the Research Council of the University of Social Welfare and Rehabilitation Sciences. We have respected the ethical requirements required regarding the sources and authorship. Research context and data sources: Using integrative review, a search was performed using national and international databases, including CINAHL, Scopus, Medline, Web of Science, and ISI (with no date restriction). The keywords employed during the search process were “privacy of patients,” “confidentiality,” “and patients’ rights.” In total, 1345 articles were retrieved from the databases. After the elimination of repetitive studies and with regard to the study objectives, 124 articles, 3 books, and 4 theses were entered into the study. The data were analyzed using the conventional content analysis approach. Findings: The results were extracted in the form of four, seven, and two themes related to attributes such as physical, informational, social, and psychological and the antecedents and consequences of respecting patient privacy, respectively. Conclusion: Respect for hospitalized patient privacy contains multiple dimensions. Factors affecting the achievement of this concept include individual backgrounds, nature of the disease, and rule of paternalism. The fulfillment of patient privacy leads to such consequences as protection and improvement of human dignity as well as improved communication between the patient and the health team.

scholarly journals Evaluation of factors related to the survival of hospitalized patients with COVID-19: Survival analysis with frailty approach

2021 ◽  
pp. 1-16
Author(s):  
Parvin Sarbakhsh ◽  
Saba Ghaffary ◽  
Elnaz Shaseb
Keyword(s):  
Unobserved Heterogeneity ◽  
Multivariable Analysis ◽  
Complete Recovery ◽  
Important Variable ◽  
Hospitalized Patients ◽  
Survival Model ◽  
P Value ◽  
Factors Affecting ◽  
Parametric Survival Model ◽  
Parametric Survival

Abstract Introduction: Considering that covid-19 is an emerging disease and results in very different outcomes-from complete recovery to death, it is important to determine the factors affecting the survival of patients. Given the lack of knowledge about effective factors and the existence of differences in the outcome of individuals with similar values of the observed covariates, this study aimed to investigate the factors affecting the survival of patients with COVID-19 by the parametric survival model with the frailty approach. Methods: The data of 139 patients with COVID-19 hospitalized in Imam Reza Hospital in Tabriz were analyzed by the Gompertz survival model with gamma frailty effect. At first, variables with p-value<.1 in univariable analysis were included in the multivariable analysis, and then the stepwise method was used for variable selection. Results: Diabetes mellitus (p-value =.021) was significantly related to the survival of hospitalized patients. The rest of the investigated variables were not significant. The frailty effect was significant (p-value=.019). Conclusion: In the investigated sample of patients with covid19, diabetes was an important variable related to patient survival. Also, the significant frailty effect indicates the existence of unobserved heterogeneity that cause individuals with a similar value of the observed covariates to have different survival distributions.

scholarly journals The Impact of SARS-CoV-2 Multiple Spike Protein Mutations on COVID-19 Outcomes

2021 ◽  
Author(s):  
Gunadi ◽  
Mohamad Saifudin Hakim ◽  
Hendra Wibawa ◽  
Marcellus ◽  
Ika Trisnawati ◽  
...  
Keyword(s):  
Phylogenetic Analysis ◽  
Strong Association ◽  
Clinical Manifestations ◽  
Illumina Miseq ◽  
Hospitalized Patients ◽  
S Protein ◽  
Factors Affecting ◽  
Central Java ◽  
The Impact ◽  
Protein Variants

Abstract Background: Recent studies focusing on the association of SARS-CoV-2 variants of concern (VOC) on COVID-19 outcomes have been reported. However, studies of the impact of multiple mutations within the spike (S) protein of SARS-CoV-2 on COVID-19 illness are limited. This study determined the association between multiple mutations within the S protein, prognosis factors, and the disease outcomes of SARS-CoV-2 infection. Methods: We included 51 COVID-19 patients from Yogyakarta and Central Java, Indonesia. Whole genome sequences of SARS-CoV-2 were determined by the Illumina MiSeq next-generation sequencer, followed by the phylogenetic analysis of 170 full-genomes of SARS-CoV-2 from different regions. We analyzed characteristics of COVID-19 patients and multiple mutations in association with different outcomes.Results: Among 51 patients, the clinical manifestations of COVID-19 were as follows: without any symptoms (13.7%), mild (47%), moderate (19.6%), severe (4%), critical (2%), and died (13.7%). The age of hospitalized patients (53.4 ± 18 years) was higher than non-hospitalized patients (34.6 ± 19) (p=0.001). A significant association between diabetes, hypertension, and anticoagulant and the hospitalization of patients was noted with p-value of 0.039 (OR=4.47 [95% CI=1.07-18.58]), 0.001 (OR=17 [95% CI=2-144]), and 0.02 (OR=27.97 [95% CI=1.54-507.13]), respectively; whereas a strong association between patients’ age, diabetes, anticoagulant, and steroid with the mortality of patients was revealed with p-value of 0.016 (OR=8.44 [95% CI=1.5-47.49]), 0.019 (OR=8.5 [95% CI=1.43-50.66]), 0.001 (46.8 [95% CI=4.63-472.77]), and 0.009 (OR=15.75 [95% CI=2-123.86]), respectively. All viruses contained the D614G variant, except one case. Accordingly, the samples were classified as the following clade: L (2%), GH (84.3%), GR (11.7%), and O (2%). Besides the D614G, the most common variants in the S protein were L5F (18.8%), V213A (18.8%), and S689R (8.3%). There was no significant association between multiple S protein variants with either hospitalization or mortality of COVID-19 (p=0.11 and 0.69, respectively). Multivariate analysis showed that hypertension and anticoagulant were the strong factors affecting the hospitalization and mortality of patients with COVID-19 with a p-value of 0.009 (OR=17.06 [95% CI=2.02-144.36]) and 0.001 (OR=46.8 (95% CI=4.63-472.77), respectively. Interestingly, the multiple S protein variants almost reached a significant level affecting the hospitalization of patients (p=0.07). Phylogenetic analysis showed that although most of the viruses from this study belonged to clade GH, none were detected as the variant of concern (VOC) and the variant of interest (VOI) of SARS-CoV-2.Conclusions: Here, we show for the first time the association between SARS-CoV-2 mutations within the S protein besides the VOC with the COVID-19 outcomes. Our findings suggest that multiple mutations in the S protein might affect the severity of COVID-19. Our study further suggests the importance of genomic surveillance to monitor SARS-CoV-2 variants, particularly those that might influence the outcomes of COVID-19 patients.

Life Interrupted: The Impact of Complex Chronic Disease from the Perspective of Hospitalized Patients

2014 ◽  
Vol 22 (2) ◽  
pp. 127-144 ◽  
Author(s):  
Kerry Kuluski ◽  
Cécile M. Bensimon ◽  
Celeste Alvaro ◽  
Renee F. Lyons ◽  
Alexis K. Schaink ◽  
...  
Keyword(s):  
Chronic Disease ◽  
Hospitalized Patients ◽  
Complex Chronic Disease ◽  
The Impact

scholarly journals Anemia in hospitalized patients with pulmonary tuberculosis

2014 ◽  
Vol 40 (4) ◽  
pp. 403-410 ◽  
Author(s):  
Marina Gribel Oliveira ◽  
Karina Neves Delogo ◽  
Hedi Marinho de Melo Gomes de Oliveira ◽  
Antonio Ruffino-Netto ◽  
Afranio Lineu Kritski ◽  
...  
Keyword(s):  
Chronic Disease ◽  
Pulmonary Tuberculosis ◽  
Mean Corpuscular Volume ◽  
Hospitalized Patients ◽  
Deficiency Anemia ◽  
Corpuscular Volume ◽  
Muscle Area ◽  
Anemia Of Chronic Disease ◽  
Distribution Width ◽  
Prevalence Of Anemia

OBJECTIVE: To describe the prevalence of anemia and of its types in hospitalized patients with pulmonary tuberculosis. METHODS: This was a descriptive, longitudinal study involving pulmonary tuberculosis inpatients at one of two tuberculosis referral hospitals in the city of Rio de Janeiro, Brazil. We evaluated body mass index (BMI), triceps skinfold thickness (TST), arm muscle area (AMA), ESR, mean corpuscular volume, and red blood cell distribution width (RDW), as well as the levels of C-reactive protein, hemoglobin, transferrin, and ferritin. RESULTS: We included 166 patients, 126 (75.9%) of whom were male. The mean age was 39.0 ± 10.7 years. Not all data were available for all patients: 18.7% were HIV positive; 64.7% were alcoholic; the prevalences of anemia of chronic disease and iron deficiency anemia were, respectively, 75.9% and 2.4%; and 68.7% had low body weight (mean BMI = 18.21 kg/m2). On the basis of TST and AMA, 126 (78.7%) of 160 patients and 138 (87.9%) of 157 patients, respectively, were considered malnourished. Anemia was found to be associated with the following: male gender (p = 0.03); low weight (p = 0.0004); low mean corpuscular volume (p = 0.03);high RDW (p = 0; 0003); high ferritin (p = 0.0005); and high ESR (p = 0.004). We also found significant differences between anemic and non-anemic patients in terms of BMI (p = 0.04), DCT (p = 0.003), and ESR (p < 0.001). CONCLUSIONS: In this sample, high proportions of pulmonary tuberculosis patients were classified as underweight and malnourished, and there was a high prevalence of anemia of chronic disease. In addition, anemia was associated with high ESR and malnutrition.

scholarly journals Influenza vaccination prevalence among the elderly and individuals with chronic disease, and factors affecting vaccination uptake

2019 ◽  
Vol 27 (1) ◽  
pp. 44-49 ◽  
Author(s):  
Pinar Korkmaz ◽  
Türkan Paşali Kilit ◽  
Kevser Onbaşi ◽  
Duru Mistanoglu Ozatag ◽  
Onur Toka
Keyword(s):  
Chronic Disease ◽  
Influenza Vaccination ◽  
The Elderly ◽  
Factors Affecting ◽  
Vaccination Uptake
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