ABSTRACT
OBJECTIVE: Major depressive disorder (MDD) is the second-most prevalent mental health condition in Vietnam. This study aims to validate the Vietnamese versions of the self-reported and clinician-rated Quick Inventory of Depressive Symptomatology (QIDS-SR and QIDS-C, respectively) and the Patient Health Questionnaire (PHQ-9), and to assess the correlations between the QIDS-SR, QIDS-C, and PHQ-9. METHODS: 506 participants with MDD (mean age, 46.3 years; 55.5% women) were assessed using the Structured Clinical Interview for DSM-5. The internal consistency, diagnostic efficiency, and concurrent validity of the Vietnamese versions of QIDS-SR, QIDS-C, and PHQ-9 were determined using the Cronbach's alpha, receiver operating characteristic curve, and Pearson correlation coefficient, respectively. RESULTS: The Vietnamese versions of QIDS-SR, QIDS-C, and PHQ-9 demonstrated acceptable validity, with an area under the receiver operating characteristic curve of 0.901, 0.967, and 0.864, respectively. Sensitivity and specificity, respectively, were 87.8% and 77.8% for QIDS-SR and 97.6% and 86.2% for QIDS-C at the cut-off score of 6, and were 82.9% and 70.1% for PHQ-9 at the cut-off score of 4. Cronbach's alphas for QIDS-SR, QIDS-C, and PHQ-9 were 0.709, 0.813, and 0.745, respectively. The PHQ-9 highly correlated with the QIDS-SR (r = 0.77, p < 0.001) and the QIDS-C (r = 0.75, p < 0.001). CONCLUSION: The Vietnamese versions of the QIDS-SR, QIDS-C, and PHQ-9 are valid and reliable tools for screening of MDD in primary healthcare settings.
Subject(s)
Depressive Disorder, Major , Female , Humans , Male , Middle Aged , Depressive Disorder, Major/diagnosis , Depressive Disorder, Major/psychology , Patient Health Questionnaire , Psychiatric Status Rating Scales , Psychometrics , Reproducibility of Results , Self Report , Southeast Asian People , VietnamSubject(s)
Algorithms , Chromosomes, Human, X , Fetus/metabolism , Monosomy/diagnosis , Mosaicism , Prenatal Diagnosis , Adult , Chromosome Aberrations/statistics & numerical data , Chromosomes, Human, X/genetics , False Positive Reactions , Female , Fetus/pathology , Humans , Maternal Serum Screening Tests/methods , Maternal Serum Screening Tests/statistics & numerical data , Monosomy/genetics , Mosaicism/statistics & numerical data , Mothers/statistics & numerical data , Pregnancy , Prenatal Diagnosis/methods , Prenatal Diagnosis/statistics & numerical data , Turner Syndrome/diagnosis , Turner Syndrome/epidemiologyABSTRACT
Objective: Noninvasive prenatal testing (NIPT) for fetal aneuploidies has been widely adopted in developed countries. Despite the sharp decrease in the cost of massively parallel sequencing, the technical know-how and skilled personnel are still one of the major limiting factors for applying this technology to NIPT in low-income settings. Here, we present the establishment and validation of our NIPT procedure called triSure for detection of fetal aneuploidies. Methods: We established the triSure algorithm based on the difference in proportion of fetal and maternal fragments from the target chromosome to all chromosomes. Our algorithm was validated using a published data set and an in-house data set obtained from high-risk pregnant women in Vietnam who have undergone amniotic testing. Several other aneuploidy calling methods were also applied to the same data set to benchmark triSure performance. Results: The triSure algorithm showed similar accuracy to size-based method when comparing them using published data set. Using our in-house data set from 130 consecutive samples, we showed that triSure correctly identified the most samples (overall sensitivity and specificity of 0.983 and 0.986, respectively) compared to other methods tested including count-based, sized-based, RAPIDR and NIPTeR. Conclusions: We have demonstrated that our triSure NIPT procedure can be applied to pregnant women in low-income settings such as Vietnam, providing low-risk screening option to reduce the need for invasive diagnostic tests.
