Back

Predictors of treatment response to adjunctive vagus nerve stimulation in difficult-to-treat depression: a retrospective data analysis

Treiber, M.; Baune, B.; Gramser, A.; Saelens, J.; Guell, N.; Roessler, K.; Novak, K.; Thanarajah, S.; Reif-Leonhard, C.; Kavakbasi, E.; Kraus, C.

2025-09-02 psychiatry and clinical psychology
10.1101/2025.08.31.25334709 medRxiv
Show abstract

BackgroundVagus nerve stimulation (VNS) is an FDA-approved invasive neuromodulatory treatment for Difficult-to-treat-Depression (DTD). However, approximately 50% of patients do not respond sufficiently to VNS. A previous study found that the baseline corrected QT (QTc) interval correlates with later VNS treatment response. We aimed to replicate this finding and further explored physiological and blood-based predictors of VNS response. MethodsData of 53 patients treated with VNS were pooled between three VNS centres. All available QTc data and blood-based parameters were used. We conducted a regression analysis with baseline QTc length and Montgomery-[A]sperg Depression Rating Scale (MADRS) changes after six- and 12- months of VNS. For analysis of blood-based variables, we used exploratory correlation analysis with a stepwise forward regression approach. ResultsAfter correction for sex, age and body mass index (BMI) and medication, baseline QTc intervals did not correlate with MADRS change at either follow-up. Exploratory regression analysis identified four factors associated with MADRS reduction after six-months of VNS: lower absolute neutrophil count (ANC), BMI, younger age, and higher low-density lipoprotein (LDL) levels. Only absolute neutrophil count correlated with MADRS change after 12-months VNS. DiscussionWith a larger sample and relevant covariates, we did not replicate a previous finding that baseline QTc interval correlates with later MADRS change upon antidepressant VNS. However, in exploratory analyses, blood-based markers indicated links between MADRS change and ANC, BMI, age, and serum LDL. These findings need to be verified in prospective, controlled studies to facilitate optimal prescription of antidepressant VNS.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
Journal of Affective Disorders
81 papers in training set
Top 0.2%
10.0%
2
PLOS ONE
4510 papers in training set
Top 19%
10.0%
3
Acta Neuropsychiatrica
12 papers in training set
Top 0.1%
6.3%
4
Frontiers in Psychiatry
83 papers in training set
Top 0.6%
6.3%
5
Journal of Psychopharmacology
14 papers in training set
Top 0.1%
6.3%
6
Translational Psychiatry
219 papers in training set
Top 2%
3.6%
7
Journal of Neurology, Neurosurgery & Psychiatry
29 papers in training set
Top 0.3%
3.6%
8
Journal of Affective Disorders Reports
10 papers in training set
Top 0.1%
3.6%
9
Psychiatry Research
35 papers in training set
Top 0.5%
3.6%
50% of probability mass above
10
Journal of Psychiatric Research
28 papers in training set
Top 0.2%
3.6%
11
European Neuropsychopharmacology
15 papers in training set
Top 0.1%
3.0%
12
Molecular Psychiatry
242 papers in training set
Top 1%
2.9%
13
Acta Psychiatrica Scandinavica
10 papers in training set
Top 0.1%
2.3%
14
Psychopharmacology
59 papers in training set
Top 0.3%
2.3%
15
European Psychiatry
10 papers in training set
Top 0.2%
2.1%
16
JMIR Formative Research
32 papers in training set
Top 0.7%
1.9%
17
Brain Stimulation
112 papers in training set
Top 0.8%
1.9%
18
Neuropsychopharmacology
134 papers in training set
Top 2%
1.7%
19
Psychological Medicine
74 papers in training set
Top 1%
1.5%
20
Scientific Reports
3102 papers in training set
Top 67%
1.2%
21
BMJ Mental Health
15 papers in training set
Top 0.3%
1.1%
22
BMC Medicine
163 papers in training set
Top 5%
0.9%
23
Frontiers in Pharmacology
100 papers in training set
Top 4%
0.8%
24
Frontiers in Neurology
91 papers in training set
Top 5%
0.8%
25
Brain and Behavior
37 papers in training set
Top 2%
0.7%
26
Epidemiology and Psychiatric Sciences
10 papers in training set
Top 0.4%
0.7%
27
Frontiers in Digital Health
20 papers in training set
Top 2%
0.7%
28
BMJ Open
554 papers in training set
Top 13%
0.7%
29
BJPsych Open
25 papers in training set
Top 0.8%
0.6%