Background: Health-related quality of life (HRQoL) after esophageal atresia (EA) repair is postulated to be good. However, little is known about the long-term results after repair of complex and/or complicated EA regarding HRQoL. We investigated long-term HRQoL after delayed anastomosis, esophageal replacement, major revisions, or multiple dilatations in patients registered in a support group.
Methods: Patients registered in the German patient support group database (KEKS) were enrolled and allocated to subgroups according to surgical treatment and age. HRQoL was evaluated using validated questionnaires (GIQLI, WHO-5, KIDSCREEN27).
Results: Complete follow-up (mean 14.5 ± 9.8 years) was available for 90/92 patients. Patients were allocated to subgroups delayed anastomosis (n=28), esophageal replacement (n=27), major revisions (n=15), and multiple dilatations (n=20). Adult patients presented with impaired well-being according to WHO-score and gastrointestinal function (GIQLI). In contrast, HRQoL of children was comparable to controls in most KIDSCREEN27-dimensions. Delayed anastomosis was associated with most-favourable HRQoL. Regarding physical well-being, these children scored significantly better than controls [64.01 ± 10.40 vs. 52.36 ± 8.73;p=0.0011], children after replacement [51.40 ± 5.70;p=0.008], revisions [52.04 ± 6.97;p=0.026], and multiple dilatations [50.22 ± 9.67,p=0.04].
Conclusions: HRQoL after complex and/or complicated EA is excellent in children registered in a patient support group. In adults, disease-specific symptoms negatively affect HRQoL. Our data indicate that saving the esophagus may achieve the best HRQoL.
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http://dx.doi.org/10.1016/j.jpedsurg.2013.11.068 | DOI Listing |
Background: Coronary heart disease (CHD) and depression frequently co-occur, significantly impacting patient outcomes. However, comprehensive health status assessment tools for this complex population are lacking. This study aimed to develop and validate an explainable machine learning model to evaluate overall health status in patients with comorbid CHD and depression.
View Article and Find Full Text PDFAnnu Rev Food Sci Technol
January 2025
4Division of Food and Nutrition, Chonnam National University, Gwangju, Republic of Korea; email:
Tea () is one of the most popular nonalcoholic beverages in the world, second only to water. Six main types of teas are produced globally: green, white, black, oolong, yellow, and Pu-erh. Each type has a distinctive taste, quality, and cultural significance.
View Article and Find Full Text PDFAnnu Rev Biomed Eng
January 2025
1Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana, USA; email:
Biochemical signals in native tissue microenvironments instruct cell behavior during many biological processes ranging from developmental morphogenesis and tissue regeneration to tumor metastasis and disease progression. The detection and characterization of these signals using spatial and highly resolved quantitative methods have revealed their existence as matricellular proteins in the matrisome, some of which are bound to the extracellular matrix while others are freely diffusing. Including these biochemical signals in engineered biomaterials can impart enhanced functionality and native-like complexity, ultimately benefiting efforts to understand, model, and treat various diseases.
View Article and Find Full Text PDFAm J Trop Med Hyg
January 2025
Centro de Investigaciones Regionales "Dr. Hideyo Noguchi," Universidad Autónoma de Yucatán, Mérida, México.
The socioecological conditions of Mexican regions are conducive to the spread of vector-borne diseases. Although there are established treatment guidelines for dengue and rickettsiosis, diagnosis is complicated. The objective of this work was to identify epitopes of Rickettsia and dengue virus that could be used in serology screening against vector-borne diseases.
View Article and Find Full Text PDFJMIR Cancer
January 2025
Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom.
Background: Skin cancers, including melanoma and keratinocyte cancers, are among the most common cancers worldwide, and their incidence is rising in most populations. Earlier detection of skin cancer leads to better outcomes for patients. Artificial intelligence (AI) technologies have been applied to skin cancer diagnosis, but many technologies lack clinical evidence and/or the appropriate regulatory approvals.
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