Associations Between Subjective Night Sweats and Sleep Study Findings

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Associations Between Subjective Night Sweats and Sleep Study Findings J Am Board Fam Med: first published as 10.3122/jabfm.2008.02.070125 on 13 March 2008. Downloaded from ORIGINAL RESEARCH Associations Between Subjective Night Sweats and Sleep Study Findings James W. Mold, MD, MPH, Suanne Goodrich, PhD, and William Orr, PhD Background: In 2 previous studies, patients reporting night sweats were found to be more likely to have other sleep-related symptoms. Sleep apnea is often mentioned as a possible cause of night sweats, but there is little evidence to support this assertion. Methods: Retrospective review of data from 2 sleep laboratories in Oklahoma City, Oklahoma. Analy- ses included bivariate and multivariate tests of associations between reported night sweats and other sleep-related symptoms, scores on specific sleep inventories, and findings from polysomnography. ;(001. ؍ Results: Patients who reported night sweats were more likely to report daytime fatigue (P ;(03. ؍ snoring (P ;(004. ؍ kicking during sleep (P ;(003. ؍ creepy/crawly feelings in their legs (P nighttime breathing trouble (P < .0001); awakening in the night with aches and pains (P < .0001); and as compared with those (002. ؍ and still tired (P (0002. ؍ waking in the morning with a headache (P who did not report night sweats. They also had higher mean scores on the Epworth Sleepiness Scale (P < .0001). However, there was no statistically significant association between reported night sweats and sleep onset latency, arousal index, apnea hypopnea index, periodic leg movement index, or total sleep time. Conclusions: Subjective night sweats are associated with a variety of other sleep-related symptoms, but we could find no evidence for an association between subjective night sweats and objective evidence of specific sleep disorders. (J Am Board Fam Med 2008;21:96–100.) copyright. When asked, between 20% and 40% of adults be- In a series of cross-sectional studies conducted in ing seen in a primary care office setting report primary care settings, we have documented a sta- having experienced night sweats within the past tistical association between reported night sweats month.1,2 A large majority, including nearly 50% of and a variety of sleep-related symptoms including those reporting sweating severe enough to require “sleep problems” not otherwise defined, general tiredness, restless or fidgety legs, legs jerking dur- a changes of bed clothes, say they have never re- http://www.jabfm.org/ ported the symptom to their physicians.1 Although ing sleep, increased sleep latency, frequent night- many health conditions (eg, chronic infections, cer- time awakenings, and waking up with a sour or 1,2,6 tain malignancies, and menopause) have been listed bitter taste in the mouth. Interestingly, we have as causes of night sweats, few if any of these claims not found associations between night sweats and snoring or between night sweats and high body of causation have actually been proven. Sleep apnea mass index. The purpose of this study was to de- is often included on lists of probable causes.3–5 termine whether an association exists between sub- on 25 September 2021 by guest. Protected jective night sweats and objective findings on poly- somnography (PSG). This article was externally peer reviewed. Submitted 14 May 2007; revised 17 August 2007; accepted 22 August 2007. Methods From the Department of Family and Preventative Medi- We retrospectively examined the records of 282 cine, University of Oklahoma Health Sciences Center (JWM), and the Lynn Health Science Insititue (SG, WO), patients who had undergone PSG between January Oklahoma City. 1, 2004 and December 31, 2005. The records were Funding: none. Conflict of interest: none declared. collected from 2 affiliated sleep laboratories in the Corresponding author: James W. Mold, MD, MPH, Depart- Oklahoma City metropolitan area. All data from ment of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, 900 NE 10th Street, Oklahoma City, OK both sleep laboratories were scored by the same 73104 (E-mail: [email protected]). clinicians. Most patients had been referred for an 96 JABFM March–April 2008 Vol. 21 No. 2 http://www.jabfm.org J Am Board Fam Med: first published as 10.3122/jabfm.2008.02.070125 on 13 March 2008. Downloaded from evaluation of possible sleep apnea. Before their Table 1. Characteristics of the Study Population (282 ؍ PSG they had completed a 32-item questionnaire (n that included the item “I sweat excessively during Variable Mean (SD) the night.” The other items related to symptoms such as breathing trouble at night, snoring, creep- Age 49.13 (13.36) ing/crawling sensations in the legs, kicking during Height (inches) 69.48 (4.20) sleep, awakening with headache, awakening with Weight (pounds) 212.69 (46.51) aches or pains, fatigue during the daytime, and BMI 31.99 (7.17) tiredness on awaking. Each item was followed by 6 Sex N (%) options; “no,” “rarely or never,” “sometimes,” “of- Male 180 (63.8) ten,” “frequently,” and “always.” For each of these Female 102 (36.2) ͓ ͔ items, the first 3 response options were considered Race/ethnicity n (%) negative and the last 3 positive. White, non-Hispanic 238 (86.2) Black 20 (7.2) The questionnaire also included the Epworth Asian 4 (1.4) Sleepiness Scale (ESS7), a survey asking respon- Native American 9 (3.3) dents to estimate the likelihood that they would fall Hispanic 4 (1.4) asleep under 8 different circumstances, ranging Other 1 (0.4) from 0 (would never fall asleep) to 3 (high chance of Marital status ͓n (%)͔ falling asleep). Though this item is not strictly a Married 220 (78.6) continuous variable, it was treated as such in our Divorced 17 (6.1) analyses. The sleep questionnaire also included an Separated 4 (1.4) open question about previous and current medical Widowed 10 (3.6) problems. Patient body mass index (BMI) was cal- Never married 29 (10.4) ͓ ͔ culated based on patients’ reports of height and Conditions n (%) weight. The following information was abstracted Arthritis 12 (4.3) copyright. Asthma 5 (1.8) from the PSGs: sleep onset latency (SOL); apnea- COPD 2 (0.7) hypopnea index (AHI); arousal index (AI); periodic Diabetes mellitus 7 (2.5) leg index (movements per hour; PLMI); total sleep Heart disease 2 (0.7) time (TST); and time until waking after sleep onset Hypertension 15 (5.3) (WASO). Descriptive statistics were calculated for all vari- BMI, body mass index; COPD, chronic obstructive pulmonary disorder. ables. All symptom variables were dichotomized using standard cutoff values for normal/abnormal. http://www.jabfm.org/ Sleep parameters were likewise categorized (see pendent variables and history of night sweats. Table 1). Student’s t test was used to examine The most parsimonious models were constructed associations between presence or absence of re- by first entering all variables with bivariate P ported (subjective) night sweats and each of the values Ͻ.1, and then subtracting one variable at a continuous variables. In most cases, because the time based on the highest P value until all re- continuous variables were not normally distributed, maining variables had P values Ͻ.05 or until the on 25 September 2021 by guest. Protected we tested natural log translations of these variables removal of a variable resulted in a significant and then ran Mann Whitney U (nonparametric) change in the variance of the overall model (ar- tests. The ␹2 test was used to evaluate relationships bitrarily, a change of Ͼ5). Odds ratios and con- between night sweats and categorical variables. We fidence intervals were calculated for variables re- also looked specifically for associations between tained in the final model. Kicking during sleep subjective snoring and AHI, AI, WASO, TST, and was not included in the initial regression model the ESS. Finally, we examined the relationship be- because of a large number of missing values, but tween subjective crawling feeling in legs and kick- we did test it in a separate model. All analyses ing during the night and PLMI, SOL, TST, were performed using Statistix Version 8 (Analyt- WASO, and ESS score. ical Software, Tallahassee, Florida). The study was Logistic regression modeling was used to de- approved by the Institutional Review Board of the termine associations between each of the inde- University of Oklahoma Health Sciences Center. doi: 10.3122/jabfm.2008.02.070125 Subjective Night Sweats and Sleep Study Findings 97 J Am Board Fam Med: first published as 10.3122/jabfm.2008.02.070125 on 13 March 2008. Downloaded from Table 2. Association of Sleep-Related Variables with Night Sweats All Variables Night Sweats No Night Sweats Variable (n ϭ 282; 100%) (n ϭ 79; 28%) (n ϭ 203; 72%) P* Breathing trouble during the night 113 (41.4) 51 (45.1) 62 (54.9) Ͻ.0001 Snoring 208 (75.6) 65 (31.3) 143 (68.7) .03 Crawling/creeping feeling in legs 31 (11) 17 (54.8) 14 (45.2) .003 Legs kick during sleep 26 (19.8) 20 (76.9) 14 (23.1) .004 Wake in am with headache 80 (28.5) 35 (43.8) 45 (56.2) .0002 Awakened by aches/pains during the night 95 (33.7) 44 (46.3) 51 (53.7) Ͻ.0001 Daytime fatigue 202 (72.4) 68 (33.7) 134 (66.3) .001 Wake up tired 220 (78.9) 70 (31.8) 150 (68.2) .002 ESS ͓mean (SD)͔ 12.29 (5.45) 14.53 (5.21) 11.41 (5.29) Ͻ.0001 Ͻ10 90 (33) 4 (15.6) 76 (84.4) Ն10 186 (67) 63 (33.9) 123 (66.1) .002 AHI ͓mean #/hour (SD)͔ 20.82 (24.81) 20.03 (24.82) 21.08 (24.81) .75 0- 4.99 79 (28) 23 (29.1) 56 (70.9) 5–14.99 78 (28) 24 (30.8) 54 (69.2) 15–29.99 63 (22) 17 (27) 46 (73) 30ϩ 62 (22) 15 (24.2) 47 (75.8) .82 PLMI ͓mean #/hour (SD)͔ 4.70 (23.54) 2.46 (10.13) 5.55 (26.91) .18 Յ5 230 (88) 66 (28.7) 164 (71.3) Ͼ5 32 (12) 6 (18.8) 26 (81.2) .24 AI ͓mean #/hour (SD)͔ 17.54 (20.44) 17.62 (21.42) 17.50 (20.05) .96 Ͻ 15 167 (59) 50 (29.9) 117 (70.1) Ն15 114 (41) 28 (24.6) 86 (75.4) .32 SOL ͓mean # min (SD)͔ 24.60 (30.75) 20.97 (18.47) 25.87 (34.22) .12 copyright.
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