Pregnancy-Induced Analgesia - A Longitudinal Study of DNIC

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University of Washington

Status

Unknown

Conditions

Pregnancy

Study type

Observational

Funder types

Other

Identifiers

NCT00867945
35811-A

Details and patient eligibility

About

The investigators hypothesize that pregnancy-induced analgesia might be the result of enhanced descending noxious inhibitory activity.

Full description

Pregnancy-induced analgesia has been described in several studies (Gintzler 1980; Sander and Gintzler 1987; Jarvis et al. 1997). Obvious mechanisms underlying pregnancy-induced analgesia involve hormonal changes during gestation (Fillingim and Ness 2000). Existing studies during pregnancy and peripartum have focused on standard characteristics of nociception, using non-dynamic quantitative sensory testing such as pain threshold/tolerance or suprathreshold stimuli (Goolkasian and Rimer 1984; Sengupta and Nielsen 1984; Cogan and Spinnato 1986; Dunbar et al. 1988; Whipple et al. 1990; Shapira et al. 1995; Saisto et al. 2001; Bajaj et al. 2002; Carvalho et al. 2006; Ohel et al. 2007), with its relative limitations of studying only the afferent nociceptive input produced in the peripheral nervous system. The two systems that are of prime importance in pain modulation within the CNS are the inhibitory system (descending noxious inhibitory control (DNIC)) and the excitatory system, with the balance of pain being more heavily influenced by the former (Godfrey and Mackey 2008). The primary aim of this study is to use psychophysical tests to study both the inhibitory and excitatory pain pathways using the DNIC paradigm and temporal summation longitudinally during pregnancy, compared to an age-matched control group of non-pregnant women. We added the In Vitro Fertilization (IVF) sub-population to the PIA study to study them as a control group (in addition to studying non-pregnant controls and pregnant women). We are studying this sub population prior to their egg retrieval procedure and a short phone survey with participants post egg-retrieval. If the subject becomes pregnant, we would recruit them to enroll in the PIA pregnant population cohort.

Enrollment

60 estimated patients

Sex

Female

Ages

18 to 45 years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • Pregnant Cohort: Inclusion criteria for participation are (1) women aged between 18 and 45 yr, (2) nulliparous or ASA physical status class I or II women, (3) singleton pregnancy, (4) no more than 14 completed weeks gestational age at the time of enrollment into the study, (5) uncomplicated pregnancy, and (6) delivery planned to be conducted at UW/Stanford University.
  • Non-pregnant Control Cohort: Inclusion criteria for participation are (1) women aged between 18 and 45 yr, (2) nulliparous or ASA physical status class I or II women, (3) and not planning on taking oral-contraceptives or carrying a hormonal-coated IUD.

Non-inclusion Criteria:

  • Pregnant Cohort: Non-inclusion criteria are (1) multiparous women, (2) non-English speaking women (subjects have to be able to understand the DNIC procedure and answer questionnaires), (3) women unable to understand the concept of VNPS at the time of informed consent (involving mental health issues), (4) a history of anxiety or depression, or chronic consumption of opiates, antidepressants, or anticonvulsants; and (5) intake of opioids, acetaminophen, or NSAIDs 48h prior to the psychophysical test.
  • Non-pregnant Control Cohort: Non-inclusion criteria are the same as the Pregnant Cohort as well as (6) irregular menstrual cycles (defined as < 21 days or > 35 days).

Exclusion criteria

  • Pregnant Cohort: Exclusion criteria is a pregnancy complicated by preeclampsia or preterm delivery (< 37 weeks gestation).
  • Non-pregnant Control Cohort: Exclusion criteria is development of irregular cycles.

Trial design

60 participants in 3 patient groups

1. Pregnant Women
2. Non-Pregnant Controls
3. IVF controls

Trial contacts and locations

2

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Central trial contact

Lisa Y Flint, BS

Data sourced from clinicaltrials.gov

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