Purpose: To correlate the dysphagia quality of life and symptoms of anxiety and depression before and after thyroidectomy.
Methods: Observational, longitudinal, prospective, and experimental study. Twenty patients participated, with a mean age of 54 years, prevalence of females (n=17; 85%) and partial thyroidectomy (n=14; 70%). All subjects underwent laryngeal visual examination and answered the MD Anderson Dysphagia Questionnaire (MDADI) and the Hospital Anxiety and Depression Scale (HADS) in three different moments: preoperatively, immediately postoperatively (maximum one week) and three months after surgery.
Results: There was a significant difference in dysphagia quality of life for the physical and total domains in the three different moments. Regarding anxiety and depression, a statistically significant difference was observed between the scores in all domains, with a greater difference observed between the preoperative period and after 1 week. Higher values were observed in the preoperative period for mild anxiety traits, being more frequent in relation to depression, with a reduction after 1 week and an increase after three months of surgery. There was no significant correlation between the MDADI and HADS protocols.
Conclusion: Patients undergoing thyroidectomy self-report better quality of life in dysphagia and reduced anxiety/depression scores after three months of surgery. There was no correlation between anxiety, depression and quality of life in dysphagia at the moments evaluated.
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http://dx.doi.org/10.1590/2317-1782/20232022099pt | DOI Listing |
JAMA Health Forum
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Department of Health Law, Policy, and Management, School of Public Health, Boston University, Boston, Massachusetts.
JAMA Netw Open
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Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Importance: People with kidney failure have a high risk of death and poor quality of life. Mortality risk prediction models may help them decide which form of treatment they prefer.
Objective: To systematically review the quality of existing mortality prediction models for people with kidney failure and assess whether they can be applied in clinical practice.
Pharmacoeconomics
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Division of Pulmonology, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, 138 Shengli Road, Tainan, 704, Taiwan.
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Department of Plant Sciences, Faculty of Biological Sciences, Quaid-I-Azam University Islamabad, Islamabad, 45320, Pakistan.
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School of Nursing, University of California, 700 Tiverton Ave, Los Angeles, CA, 90095, USA.
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