Human ; Communication ; Counseling ; Family ; Genetic Counseling ; Risk

OBJECTIVES

This study described the demographic and clinical profile, mental health problems, prevalence of psychiatric conditions, psychosocial interventions used, and outcomes of the management of mental health problems among in-patients admitted to non-psychiatry units of tertiary hospitals referred to mental health care providers; and described gender-disaggregated data related to mental health care providers and patients receiving psychosocial interventions in tertiary hospitals.

This study employed a mixed-method design, using both qualitative and quantitative methodologies following the convergence model of triangulation. The following were the data sources: (1) cross-sectional review of charts of patients referred for psychosocial problems using the ICD-10 classification; (2) a survey of mental health service providers; (3) key informant interviews of mental health service providers; and (4) focus group discussions of mental health providers. All data were collated, compared, and contrasted, then analyzed using the convergence model of triangulation design.

Among the 3,502 patients in the chart review, 1,870 (53.40%) were males. The median age was 46.08 years and 92.06% were adults. The most common diagnosis among the patients were mood disorder (744, 21.25%) and organic mental disorder (710, 20.27%). Combination treatment of psychosocial intervention and pharmacology was the most common strategy received by patients. There was a higher proportion of patients admitted to public hospitals (996, 45.27%) who received psychosocial interventions only compared to those admitted to private hospitals (235, 18.05%). There were 3,453 out of 3,502 in-patients referred for psychiatric intervention. Of these 2,420 (70%) received psychoeducation, 2,365 (68.5%), received supportive psychotherapy/counseling, 535 (15.5%) family therapy, and 286 (8.3%) behavior modification. There were more patients given psychosocial interventions 2,541 (72.56%) who were discharged with instruction to follow-up, while around one in 10 (456, 13.02%) was not instructed to do a follow-up consultation. The types of interventions across all data sources were similar.

The most common type of management for psychosocial problems of in-patients in tertiary hospitals was a combination of psychosocial intervention and pharmacotherapy. Psychoeducation, supportive psychotherapy/ counseling, and family therapy were the most often given psychosocial interventions. The patient-related reasons for the choice of interventions were patient’s medical status (diagnosis and severity of symptoms) and psychological status (psychological mindedness), while the provider-related factors influencing the choice of intervention were provider’s skills and personal preference. Moreover, resources (human and material) and service provision policies (treatment guidelines and aftercare interventions) were the most common hospital-related factors. Further prospective research to determine the associated patients, providers, and hospital factors in larger geographic and cultural settings will provide evidence for the effectiveness and outcomes of psychosocial interventions.

Genetic counseling for hearing loss today originated from decoding the genetic code of hereditary hearing loss, which serves as an effective strategy for preventing hearing loss and constitutes a crucial component of the diagnostic and therapeutic framework. This paper described the main principles and contents of genetic counseling for hearing loss, the key points of counseling across various genetic models and its application in tertiary prevention strategies targeting hearing impairment. The prospects of an AI-assisted genetic counseling decision system and the envisions of genetic counseling in preventing hereditary hearing loss were introduced. Genetic counseling for hearing loss today embodies the hallmark of a new era, which is inseparable from the advancements in science and technology, and will undoubtedly contribute to precise gene intervention!
Humans ; Genetic Counseling ; Deafness/genetics* ; Hearing Loss/diagnosis* ; Hearing Loss, Sensorineural/genetics*

Hereditary endocrine and metabolic diseases , caused by genetic factors, exhibit complex and diverse symptoms, including the possibility of concurrent sensorineural deafness. Currently, there is a limited clinical understanding of hereditary endocrine and metabolic diseases that manifest with deafness, the pathogenesis remains unclear,and there is a lack of effective diagnostic and treatment methods. This article summarizes the research progress of hereditary endocrine and metabolic diseases complicated with deafness from the pathogenesis, clinical phenotype, diagnosis and treatment. Understanding the current research progress and integrating genetic analysis into clinical practice are crucial for accurate diagnosis and treatment, evaluating clinical efficacy, and providing effective genetic counseling for these diseases.
Humans ; Deafness/genetics* ; Hearing Loss, Sensorineural/diagnosis* ; Phenotype ; Metabolic Diseases/genetics* ; Genetic Counseling

Humans ; Hearing Loss/genetics* ; Deafness/genetics* ; Counseling ; China ; Genetic Counseling ; Mutation

Humans ; Genetic Counseling ; Consensus ; Hypogonadism/genetics*

Child ; Humans ; Genetic Counseling ; Consensus ; Genetic Testing

OBJECTIVE: To explore the clinical phenotype and genetic basis of a child with early onset neurodevelopmental disorder with involuntary movement (NEDIM). METHODS: A child who presented at Department of Neurology of Hunan Children's Hospital on October 8, 2020 was selected as the study subject. Clinical data of the child were collected. Genomic DNA was extracted from peripheral blood samples of the child and his parents. Whole exome sequencing (WES) was carried out for the child. Candidate variant was verified by Sanger sequencing and bioinformatic analysis. Relevant literature was searched from the CNKI, PubMed and Google Scholar databases to summarize the clinical phenotypes and genetic variants of the patients. RESULTS: This child was a 3-year-and-3-month boy with involuntary trembling of limbs and motor and language delay. WES revealed that the child has harbored a c.626G>A (p.Arg209His) variant of the GNAO1 gene. Sanger sequencing confirmed that neither of his parents has carried the same variant. The variant had been reported in HGMD and ClinVar databases, but not in the dbSNP, ExAC and 1000 Genomes databases. Prediction with SIFT, PolyPhen-2, and Mutation Taster online software suggested that the variant may be deleterious to the protein function. By UniProt database analysis, the encode amino acid is highly conserved among various species. Prediction with Modeller and PyMOL software indicated that the variant may affect the function of GαO protein. Based on the guideline of the American College of Medical Genetics and Genomics (ACMG), the variant was rated as pathogenic. CONCLUSION The GNAO1 gene c.626G>A (p.Arg209His) variant probably underlay the NEDIM in this child. Above finding has expanded the phenotypic spectrum of GNAO1 gene c.626G>A (p.Arg209His) variant and provided a reference for clinical diagnosis and genetic counseling.
Humans ; Computational Biology ; Genetic Counseling ; Genomics ; Mutation ; Neurodevelopmental Disorders/genetics* ; Dyskinesias ; GTP-Binding Protein alpha Subunits, Gi-Go

OBJECTIVE: To analyze the clinical data and genetic characteristics of a child with fibrocartilage hyperplasia type 1 (FBCG1). METHODS: A child who was admitted to Gansu Provincial Maternity and Child Health Care Hospital on January 21, 2021 due to severe pneumonia and suspected congenital genetic metabolic disorder was selected as the study subject. Clinical data of the child was collected, and genomic DNA was extracted from peripheral blood samples from the child and her parents. Whole exome sequencing (WES) was carried out, and candidate variants were verified by Sanger sequencing. RESULTS: The patient, a 1-month-old girl, had presented with facial dysmorphism, abnormal skeletal development, and clubbing of upper and lower limbs. WES revealed that she has harbored compound heterozygous variants c.3358G>A/c.2295+1G>A of the COL11A1 gene, which has been associated with fibrochondrogenesis. Sanger sequencing has verified that the variants have been respectively inherited from her father and mother, both of whom were phenotypically normal. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), the c.3358G>A variant was graded as likely pathogenic (PM1+PM2_Supporting+PM3+PP3), and so was the c.2295+1G>A variant (PVS1＋PM2_Supporting). CONCLUSION The compound heterozygous variants c.3358G>A/c.2295+1G>A probably underlay the disease in this child. Above finding has facilitated definite diagnosis, genetic counseling for her family.
Female ; Humans ; Infant ; Abnormalities, Multiple ; Collagen Type XI/genetics* ; Genetic Counseling ; Genomics ; Mutation

OBJECTIVE: To explore the clinical phenotype and genetic etiology of a child with early-onset severe obesity. METHODS: A child who presented at the Department of Endocrinology, Hangzhou Children's Hospital on August 5, 2020 was selected as the study subject. Clinical data of the child were reviewed. Genomic DNA was extracted from peripheral blood samples of the child and her parents. Whole exome sequencing (WES) was carried out on the child. Candidate variants were verified by Sanger sequencing and bioinformatic analysis. RESULTS: This child was a 2-year-and-9-month girl featuring severe obesity with hyperpigmentation on the neck and armpit skin. WES revealed that she has harbored compound heterozygous variants of the MC4R gene, namely c.831T>A (p.Cys277*) and c.184A>G (p.Asn62Asp). Sanger sequencing confirmed that they were respectively inherited from her father and mother. The c.831T>A (p.Cys277*) has been recorded by the ClinVar database. Its carrier frequency among normal East Asians was 0.000 4 according to the 1000 Genomes, ExAC, and gnomAD databases. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), it was rated as pathogenic. The c.184A>G (p.Asn62Asp) has not been recorded in the ClinVar, 1000 Genomes, ExAC and gnomAD databases. Prediction using IFT and PolyPhen-2 online software suggested it to be deleterious. Based on the guidelines from the ACMG, it was determined as likely pathogenic. CONCLUSION The c.831T>A (p.Cys277*) and c.184A>G (p.Asn62Asp) compound heterozygous variants of the MC4R gene probably underlay the early-onset severe obesity in this child. Above finding has further expanded the spectrum of MC4R gene variants and provided a reference for the diagnosis and genetic counseling for this family.
Female ; Humans ; Computational Biology ; East Asian People ; Genetic Counseling ; Genomics ; Mutation ; Obesity, Morbid/genetics* ; Child, Preschool ; Pediatric Obesity/genetics*