| 61. |
- Stone, W, et al.
(författare)
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Prediction of lithium response using genomic data
- 2021
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Ingår i: Scientific reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 11:1, s. 1155-
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Tidskriftsartikel (refereegranskat)abstract
- Predicting lithium response prior to treatment could both expedite therapy and avoid exposure to side effects. Since lithium responsiveness may be heritable, its predictability based on genomic data is of interest. We thus evaluate the degree to which lithium response can be predicted with a machine learning (ML) approach using genomic data. Using the largest existing genomic dataset in the lithium response literature (n = 2210 across 14 international sites; 29% responders), we evaluated the degree to which lithium response could be predicted based on 47,465 genotyped single nucleotide polymorphisms using a supervised ML approach. Under appropriate cross-validation procedures, lithium response could be predicted to above-chance levels in two constituent sites (Halifax, Cohen’s kappa 0.15, 95% confidence interval, CI [0.07, 0.24]; and Würzburg, kappa 0.2 [0.1, 0.3]). Variants with shared importance in these models showed over-representation of postsynaptic membrane related genes. Lithium response was not predictable in the pooled dataset (kappa 0.02 [− 0.01, 0.04]), although non-trivial performance was achieved within a restricted dataset including only those patients followed prospectively (kappa 0.09 [0.04, 0.14]). Genomic classification of lithium response remains a promising but difficult task. Classification performance could potentially be improved by further harmonization of data collection procedures.
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| 62. |
- Vernmark, K., et al.
(författare)
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Working alliance predicts outcome in blended treatment (bCBT) for depression
- 2017
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Konferensbidrag (refereegranskat)abstract
- Introduction: Blended cognitive behavior therapy (bCBT) is a treatment format that mixes internet-based modules with face-to-face sessions. It has the potential of making internet-based interventions more easily accessible and saving therapist time when delivering treatment for depression. The role of working alliance in this treatment format has not yet been thoroughly investigated. There is therefore a need to explore patient- and therapist rated alliance and the ability to predict change in depression during treatment using measurements of working alliance.Methods: We used ratings of depression and alliance from 73 participants in a study on bCBT for depression (part of the E-COMPARED project). Data were analyzed using growth curve models.Results: Both patient- and therapist rated alliance was high. The main finding was that therapist-rated alliance predicted change in depression scores during treatment.Discussion: Working alliance can be established in bCBT, which is in line with previous research on face-to-face and internet-based treatment for depression. An interesting find was that therapist-rated alliance was of greater importance than patient-rated alliance when predicting change in depression during treatment. These results point towards therapist ratings of alliance being essential when delivering bCBT and conducting research on this method in the future.
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| 63. |
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| 64. |
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| 65. |
- Amare, Azmeraw, et al.
(författare)
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Association of Polygenic Score and the involvement of Cholinergic and Glutamatergic Pathways with Lithium Treatment Response in Patients with Bipolar Disorder.
- 2023
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Ingår i: Research square. - : Research Square Platform LLC.
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Tidskriftsartikel (refereegranskat)abstract
- Lithium is regarded as the first-line treatment for bipolar disorder (BD), a severe and disabling mental disorder that affects about 1% of the population worldwide. Nevertheless, lithium is not consistently effective, with only 30% of patients showing a favorable response to treatment. To provide personalized treatment options for bipolar patients, it is essential to identify prediction biomarkers such as polygenic scores. In this study, we developed a polygenic score for lithium treatment response (Li+PGS) in patients with BD. To gain further insights into lithium's possible molecular mechanism of action, we performed a genome-wide gene-based analysis. Using polygenic score modeling, via methods incorporating Bayesian regression and continuous shrinkage priors, Li+PGS was developed in the International Consortium of Lithium Genetics cohort (ConLi+Gen: N=2,367) and replicated in the combined PsyCourse (N=89) and BipoLife (N=102) studies. The associations of Li+PGS and lithium treatment response - defined in a continuous ALDA scale and a categorical outcome (good response vs. poor response) were tested using regression models, each adjusted for the covariates: age, sex, and the first four genetic principal components. Statistical significance was determined at P<����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������.
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| 66. |
- Amare, Azmeraw T, et al.
(författare)
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Association of polygenic score and the involvement of cholinergic and glutamatergic pathways with lithium treatment response in patients with bipolar disorder.
- 2023
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Ingår i: Molecular psychiatry. - 1476-5578.
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Tidskriftsartikel (refereegranskat)abstract
- Lithium is regarded as the first-line treatment for bipolar disorder (BD), a severe and disabling mental health disorder that affects about 1% of the population worldwide. Nevertheless, lithium is not consistently effective, with only 30% of patients showing a favorable response to treatment. To provide personalized treatment options for bipolar patients, it is essential to identify prediction biomarkers such as polygenic scores. In this study, we developed a polygenic score for lithium treatment response (Li+PGS) in patients with BD. To gain further insights into lithium's possible molecular mechanism of action, we performed a genome-wide gene-based analysis. Using polygenic score modeling, via methods incorporating Bayesian regression and continuous shrinkage priors, Li+PGS was developed in the International Consortium of Lithium Genetics cohort (ConLi+Gen: N = 2367) and replicated in the combined PsyCourse (N = 89) and BipoLife (N = 102) studies. The associations of Li+PGS and lithium treatment response - defined in a continuous ALDA scale and a categorical outcome (good response vs. poor response) were tested using regression models, each adjusted for the covariates: age, sex, and the first four genetic principal components. Statistical significance was determined at P < 0.05. Li+PGS was positively associated with lithium treatment response in the ConLi+Gen cohort, in both the categorical (P = 9.8 × 10-12, R2 = 1.9%) and continuous (P = 6.4 × 10-9, R2 = 2.6%) outcomes. Compared to bipolar patients in the 1st decile of the risk distribution, individuals in the 10th decile had 3.47-fold (95%CI: 2.22-5.47) higher odds of responding favorably to lithium. The results were replicated in the independent cohorts for the categorical treatment outcome (P = 3.9 × 10-4, R2 = 0.9%), but not for the continuous outcome (P = 0.13). Gene-based analyses revealed 36 candidate genes that are enriched in biological pathways controlled by glutamate and acetylcholine. Li+PGS may be useful in the development of pharmacogenomic testing strategies by enabling a classification of bipolar patients according to their response to treatment.
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| 67. |
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| 68. |
- Backlund, L.B., et al.
(författare)
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Early detection of diabetic retinopathy by mobile retinal photography service working in partnership with primary health care teams
- 1998
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Ingår i: Diabetic Medicine. - 0742-3071 .- 1464-5491. ; 15:S3, s. S32-S37
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Tidskriftsartikel (refereegranskat)abstract
- Community-wide fundus photography was organized for early detection of diabetic retinopathy (DR) by mobile teams. High-quality three-field Kodachrome fundus photography, performed according to the London Protocol through dilated pupils was offered free of charge to primary care; images were taken in the community and assessed centrally. Data are presented from the first 80 primary health care centres (PHCCs) participating, serving 990 000 (about 60 %) of inhabitants in Stockholm County. Beginning in 1990, 6863 diabetes patients were invited by PHCCs; 5490 (80 %) attended. We reached 77 % of persons with known diabetes; only 37 % had had their eyes examined during the preceding 2 years. For 97 % of patients, images were assessable. DR was present in 34 % of patients (non-proliferative DR not requiring further assessment 29 %, non-proliferative DR requiring further assessment 1.1 %, proliferative DR 0.5 % and macular involvement 3.6 %). Re-examination after 2 years was offered to 64 %; follow-up photography after 1 year to 24 %. Fluorescein angiography and/or photocoagulation treatment was performed in 3.6 %. This method of early diagnosis is feasible, acceptable, and reached twice as many patients as did the usual referral-based system of care. We now plan to extend this service to cover the whole county.
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| 69. |
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| 70. |
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