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Hyperactive sexual desire in Klinefelter Syndrome: Treatment with sertraline

2012· letter· en· W1512755099 on OpenAlexaboutno aff
Preeti Sinha, Pratheesh Pozhekkadavil Jnanaprakasan, Chittaranjan Andrade

Bibliographic record

VenuePsychiatry and Clinical Neurosciences · 2012
Typeletter
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsHypomaniaPsychologyKlinefelter syndromeGynecomastiaPsychiatrySexual desireHypoactive sexual desire disorderParaphiliaPediatricsMedicineMoodClinical psychologyHuman sexualityManiaBipolar disorderInternal medicineSexual behavior

Abstract

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KLINEFELTER SYNDROME (KS) is the commonest sex chromosome disorder and 47,XXY is the commonest karyotype.1 Hypoactive sexual desire due to hypogonadism is frequent in KS patients.1,2 We report a KS patient who, despite hypogonadism, had hyperactive sexual desire which markedly interfered with social and academic functioning. The sexually adverse effect of sertraline was successfully recruited in his management. The patient gave the authors written informed consent to publish this letter. M., a 22-year-old man, reported poor academic performance. He had earlier been diagnosed with 47,XXY KS. His phenotype was classical: he was tall, with narrow shoulders, broad hips, gynecomastia, and micro-orchidism. Enquiry elicited progressively increasing sexual desire from puberty, manifesting as sexual fantasizing and watching pornography for several hours a day, masturbating 1–5 times a day, and visiting prostitutes 3–4 times a week. He enjoyed these sexual activities, did not consider them abnormal and could not abstain for even a day; although he admitted that they were excessive. The phenomena were not resisted, and did not meet criteria for obsessive–compulsive symptomatology. The time-consuming sexual behaviors interfered with his studies, and he was expelled from his university. He had heterosexual orientation. There was no history of childhood sexual abuse or environmental triggers for the sexual preoccupations. There was no anxiety or mood disturbance, neither depression nor hypomania–mania. There was no history of substance use, including tobacco and alcohol. His IQ was 114. His language and social development were adequate. In non-academic matters, he was independent and self-reliant. Two years earlier, he had been evaluated in Canada for his gynecomastia and micro-orchidism, then diagnosed as having KS and had been advised intramuscular testosterone (200 mg every 2 weeks) to prevent hormonal complications of hypogonadism. Treatment partially reduced gynecomastia but had no other benefit. He fulfilled Kafka criteria for hypersexual disorder.3 With his consent, he was started on sertraline (100 mg/day) as decreased libido is a known adverse effect of serotonin reuptake inhibitors (SRI);4 testosterone was continued because, despite testosterone replacement, the peak and trough testosterone levels were low normal (300 and 200 ng/dL, respectively). Four weeks later, he reported decreased sexual desire, fantasies, masturbation, and use of pornography; and his concentration on studies had improved. Sertraline was uptitrated to 150 mg/day and, 6 months later, he reported substantial reduction in sexual preoccupation, and improved academic grades. KS is unusual here because, despite hypogonadism requiring testosterone replacement, our patient had puberty-onset hyperactive sexual desire causing clinical impairment. We cannot say with confirmation that KS is responsible for hypersexuality in this case, but we could not find other possible causes in the form of obsessive–compulsive disorder, addiction, autism or mood disorder, and the condition started well before testosterone replacement. We recruited a known SRI adverse effect (decreased sexual drive) to reduce sexual preoccupations and behaviors and thereby improve his ability to focus on studies, an issue for which he had sought clinical assistance. Sertraline, at 150 mg/day, was effective and well accepted.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.294
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.095
GPT teacher head0.403
Teacher spread0.308 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2012
Admission routes1
Has abstractyes

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