METHODS: A cross-sectional study involving 200 HD patients at the Dialysis Center in Hodeida was conducted from February to May 2022. Data on depression were collected using the 9-item Patient Health Questionnaire (PHQ-9). Association of sociodemographic characteristics of patients with depression were assessed using chi-square, subsequently by multivariable logistic regression. Statistical significance was set at P-values <0.05.
RESULTS: The response rate was 98% (200/204). Depression was prevalent among 63% of HD patients at the Dialysis Center in Hodeida city. Sex was significantly associated with depression, where female patients were more frequently depressed than males (82.4% vs 56.4%, P < 0.001). In addition, employment status and medical insurance were significantly associated with depression, where unemployed patients were more frequently depressed than employed patients (67.6% vs 52.5%, P = 0.041) and patients with medical insurance were less frequently depressed than their counterparts (47.1% vs 66.3%, P = 0.035).
CONCLUSION: Depression is highly prevalent among HD patients in Hodeida city. Female sex, unemployment and lack of medical insurance are predictors of depression among HD patients. These findings emphasize the urgent need for targeted interventions.
IMPLICATIONS FOR PRACTICE: Depression is common among HD patients, so that, psychiatric physicians and nurses are increasingly needed in HD centers to implement mental health assessment of patients for depression signs and symptoms to help in early diagnosis and management of depression in order to improve patients' quality of life and preventing negative outcomes.
FINDINGS: Our high-throughput workflow minimizes these risks via a 4-step strategy: (i) technical replication with 2 PCR replicates and 2 extraction replicates; (ii) using multi-markers (12S,16S,CytB); (iii) a "twin-tagging," 2-step PCR protocol; and (iv) use of the probabilistic taxonomic assignment method PROTAX, which can account for incomplete reference databases. Because annotation errors in the reference sequences can result in taxonomic misassignment, we supply a protocol for curating sequence datasets. For some taxonomic groups and some markers, curation resulted in >50% of sequences being deleted from public reference databases, owing to (i) limited overlap between our target amplicon and reference sequences, (ii) mislabelling of reference sequences, and (iii) redundancy. Finally, we provide a bioinformatic pipeline to process amplicons and conduct PROTAX assignment and tested it on an invertebrate-derived DNA dataset from 1,532 leeches from Sabah, Malaysia. Twin-tagging allowed us to detect and exclude sequences with non-matching tags. The smallest DNA fragment (16S) amplified most frequently for all samples but was less powerful for discriminating at species rank. Using a stringent and lax acceptance criterion we found 162 (stringent) and 190 (lax) vertebrate detections of 95 (stringent) and 109 (lax) leech samples.
CONCLUSIONS: Our metabarcoding workflow should help research groups increase the robustness of their results and therefore facilitate wider use of environmental and invertebrate-derived DNA, which is turning into a valuable source of ecological and conservation information on tetrapods.