Pregnancy-related relapses and breastfeeding in a contemporary multiple sclerosis cohort.

OBJECTIVE: To determine whether women with multiple sclerosis (MS) diagnosed according to current criteria are at an increased risk of postpartum relapses and to assess whether this risk is modified by breastfeeding or MS disease-modifying therapies (DMTs), we examined the electronic health records (EHRs) of 466 pregnancies among 375 women with MS and their infants. METHODS: We used prospectively collected information from the EHR at Kaiser Permanente Southern and Northern California between 2008 and 2016 of the mother and infant to identify treatment history, breastfeeding, and relapses. Multivariable models accounting for measures of disease severity were used. RESULTS: In the postpartum year, 26.4% relapsed, 87% breastfed, 36% breastfed exclusively for at least 2 months, and 58.8% did not use DMTs. At pregnancy onset, 67.2% had suboptimally controlled disease. Annualized relapse rates (ARRs) declined from 0.37 before pregnancy to 0.14-0.07 (p < 0.0001) during pregnancy, but in the postpartum period, we did not observe any rebound disease activity. The ARR was 0.27 in the first 3 months postpartum, returning to prepregnancy rates at 4-6 months (0.37). Exclusive breastfeeding reduced the risk of early postpartum relapses (adjusted hazard ratio = 0.37, p = 0.009), measures of disease severity increased the risk, and resuming modestly effective DMTs had no effect (time-dependent covariate, p = 0.62). CONCLUSION: Most women diagnosed with MS today can have children without incurring an increased risk of relapses. Women with suboptimal disease control before pregnancy may benefit from highly effective DMTs that are compatible with pregnancy and lactation. Women with MS should be encouraged to breastfeed exclusively.

Selecting Active Surveillance: Decision Making Factors for Men with a Low-Risk Prostate Cancer.

Background. Men with a low-risk prostate cancer (PCa) should consider observation, particularly active surveillance (AS), a monitoring strategy that avoids active treatment (AT) in the absence of disease progression. Objective. To determine clinical and decision-making factors predicting treatment selection. Design. Prospective cohort study. Setting. Kaiser Permanente Northern California (KPNC). Patients. Men newly diagnosed with low-risk PCa between 2012 and 2014 who remained enrolled in KPNC for 12 months following diagnosis. Measurements. We used surveys and medical record abstractions to measure sociodemographic and clinical characteristics and psychological and decision-making factors. Men were classified as being on observation if they did not undergo AT within 12 months of diagnosis. We performed multivariable logistic regression analyses. Results. The average age of the 1171 subjects was 61.5 years (s = 7.2 years), and 81% were white. Overall, 639 (57%) were managed with observation; in adjusted analyses, significant predictors of observation included awareness of low-risk status (odds ratio 1.75; 95% confidence interval 1.04-2.94), knowing that observation was an option (3.62; 1.62-8.09), having concerns about treatment-related quality of life (1.21, 1.09-1.34), reporting a urologist recommendation for observation (8.20; 4.68-14.4), and having a lower clinical stage (T1c v. T2a, 2.11; 1.16-3.84). Conversely, valuing cancer control (1.54; 1.37-1.72) and greater decisional certainty (1.66; 1.18-2.35) were predictive of AT. Limitations. Results may be less generalizable to other types of health care systems and to more diverse populations. Conclusions. Many participants selected observation, and this was associated with tumor characteristics. However, nonclinical decisional factors also independently predicted treatment selection. Efforts to provide early decision support, particularly targeting knowledge deficits, and reassurance to men with low-risk cancers may facilitate better decision making and increase uptake of observation, particularly AS.

Identification of fluorescence in situ hybridization assay markers for prediction of disease progression in prostate cancer patients on active surveillance.

BACKGROUND: Prostate Cancer (PCa) is the second most prevalent cancer among U.S. males. In recent decades many men with low risk PCa have been over diagnosed and over treated. Given significant co-morbidities associated with definitive treatments, maximizing patient quality of life while recognizing early signs of aggressive disease is essential. There remains a need to better stratify newly diagnosed men according to the risk of disease progression, identifying, with high sensitivity and specificity, candidates for active surveillance versus intervention therapy. The objective of this study was to select fluorescence in situ hybridization (FISH) panels that differentiate non-progressive from progressive disease in patients with low and intermediate risk PCa. METHODS: We performed a retrospective case-control study to evaluate FISH biomarkers on specimens from PCa patients with clinically localised disease (T1c-T2c) enrolled in Watchful waiting (WW)/Active Surveillance (AS). The patients were classified into cases (progressed to clinical intervention within 10 years), and controls (did not progress in 10 years). Receiver Operating Characteristic (ROC) curve analysis was performed to identify the best 3-5 probe combinations. FISH parameters were then combined with the clinical parameters ─ National Comprehensive Cancer Network (NNCN) risk categories ─ in the logistic regression model. RESULTS: Seven combinations of FISH parameters with the highest sensitivity and specificity for discriminating cases from controls were selected based on the ROC curve analysis. In the logistic regression model, these combinations contributed significantly to the prediction of PCa outcome. The combination of NCCN risk categories and FISH was additive to the clinical parameters or FISH alone in the final model, with odds ratios of 5.1 to 7.0 for the likelihood of the FISH-positive patients in the intended population to develop disease progression, as compared to the FISH-negative group. CONCLUSIONS: Combinations of FISH parameters discriminating progressive from non-progressive PCa were selected based on ROC curve analysis. The combination of clinical parameters and FISH outperformed clinical parameters alone, and was complimentary to clinical parameters in the final model, demonstrating potential utility of multi-colour FISH panels as an auxiliary tool for PCa risk stratification. Further studies with larger cohorts are planned to confirm these findings.

Decision-making processes among men with low-risk prostate cancer: A survey study.

OBJECTIVE: To characterize decision-making processes and outcomes among men expressing early-treatment preferences for low-risk prostate cancer. METHODS: We conducted telephone surveys of men newly diagnosed with low-risk prostate cancer in 2012 to 2014. We analyzed subjects who had discussed prostate cancer treatment with a clinician and expressed a treatment preference. We asked about decision-making processes, including physician discussions, prostate-cancer knowledge, decision-making styles, treatment preference, and decisional conflict. We compared the responses across treatment groups with χ2 or ANOVA. RESULTS: Participants (n = 761) had a median age of 62; 82% were white, 45% had a college education, and 35% had no comorbidities. Surveys were conducted at a median of 25 days (range 9-100) post diagnosis. Overall, 55% preferred active surveillance (AS), 26% preferred surgery, and 19% preferred radiotherapy. Participants reported routinely considering surgery, radiotherapy, and AS. Most were aware of their low-risk status (97%) and the option for AS (96%). However, men preferring active treatment (AT) were often unaware of treatment complications, including sexual dysfunction (23%) and urinary complications (41%). Most men (63%) wanted to make their own decision after considering the doctor's opinion, and about 90% reported being sufficiently involved in the treatment discussion. Men preferring AS had slightly more uncertainty about their decisions than those preferring AT. CONCLUSIONS: Subjects were actively engaged in decision making and considered a range of treatments. However, we found knowledge gaps about treatment complications among those preferring AT and slightly more decisional uncertainty among those preferring AS, suggesting the need for early decision support.

A Biopsy-based 17-gene Genomic Prostate Score as a Predictor of Metastases and Prostate Cancer Death in Surgically Treated Men with Clinically Localized Disease.

BACKGROUND: A 17-gene biopsy-based reverse transcription polymerase chain reaction assay, which provides a Genomic Prostate Score (GPS-scale 0-100), has been validated as an independent predictor of adverse pathology and biochemical recurrence after radical prostatectomy (RP) in men with low- and intermediate-risk prostate cancer (PCa). OBJECTIVE: To evaluate GPS as a predictor of PCa metastasis and PCa-specific death (PCD) in a large cohort of men with localized PCa and long-term follow-up. DESIGN, SETTING, AND PARTICIPANTS: A retrospective study using a stratified cohort sampling design was performed in a cohort of men treated with RP within Kaiser Permanente Northern California. RNA from archival diagnostic biopsies was assayed to generate GPS results. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: We assessed the association between GPS and time to metastasis and PCD in prespecified uni- and multivariable statistical analyses, based on Cox proportional hazard models accounting for sampling weights. RESULTS AND LIMITATIONS: The final study population consisted of 279 men with low-, intermediate-, and high-risk PCa between 1995 and 2010 (median follow-up 9.8 yr), and included 64 PCD and 79 metastases. Valid GPS results were obtained for 259 (93%). In univariable analysis, GPS was strongly associated with time to PCD, hazard ratio (HR)/20 GPS units=3.23 (95% confidence interval [CI] 1.84-5.65; p<0.001), and time to metastasis, HR/20 units=2.75 (95% CI 1.63-4.63; p<0.001). The association between GPS and both end points remained significant after adjusting for National Comprehensive Cancer Network, American Urological Association, and Cancer of the Prostate Risk Assessment (CAPRA) risks (p<0.001). No patient with low- or intermediate-risk disease and a GPS of<20 developed metastases or PCD (n=31). In receiver operating characteristic analysis of PCD at 10 yr, GPS improved the c-statistic from 0.78 (CAPRA alone) to 0.84 (GPS+CAPRA; p<0.001). A limitation of the study was that patients were treated during an era when definitive treatment was standard of care with little adoption of active surveillance. CONCLUSIONS: GPS is a strong independent predictor of long-term outcomes in clinically localized PCa in men treated with RP and may improve risk stratification for men with newly diagnosed disease. PATIENT SUMMARY: Many prostate cancers are slow growing and unlikely to spread or threaten a man's life, while others are more aggressive and require treatment. Increasingly, doctors are using new molecular tests, such as the17-gene Genomic Prostate Score (GPS), which can be performed at the time of initial diagnosis to help determine how aggressive a given patient's cancer may be. In this study, performed in a large community-based healthcare network, GPS was shown to be a strong predictor as to whether a man's prostate cancer will spread and threaten his life after surgery, providing information that may help patients and their doctors decide on the best course of management of their disease.

Risk of Cardiovascular Disease Associated with a Restless Legs Syndrome Diagnosis in a Retrospective Cohort Study from Kaiser Permanente Northern California.

INTRODUCTION: Recent cross-sectional studies suggest that restless legs syndrome (RLS) may be associated with an increased prevalence of cardiovascular disease (CVD) comorbidity or risk factors. We evaluated whether primary or secondary RLS was associated with an increased risk of incident cardiovascular disease in a retrospective cohort study within Kaiser Permanente Northern California (KPNC). METHODS: We identified members of KPNC with primary RLS and secondary RLS between 1999 and 2008 by an algorithm that incorporated longitudinal clinical records related to the diagnosis and treatment of RLS and comorbidities. We then matched each RLS case with up to 50 individuals with no clinical records of RLS by age, sex, race/ethnicity, zip code, and membership duration. For the analyses we excluded any individual with coronary artery disease (CAD: angina, acute myocardial infarction, coronary revascularization procedure, CAD death), CVD (CAD plus stroke), and hypertension at baseline. New cardiovascular events were determined from clinical records. Follow-up ended at an outcome event, disenrollment from KPNC, or death, whichever occurred earliest. There were over 473,358 person-y of follow-up in this cohort analysis with a mean follow-up time of 3.91 y and range from 6 mo to 12 y. Survival analysis techniques, including survival curves and proportional hazard regression models, were used to assess the association between RLS status and CVD. RESULTS: There were 7,621 primary RLS and 4,507 secondary RLS cases identified and included in the study. In general, primary RLS cases were younger and had less comorbidity than secondary RLS cases. During the follow-up period, CVD was diagnosed in 478 primary RLS cohort members, CAD was diagnosed in 310, and hypertension events were identified in 1,466. Diagnosis in secondary RLS cohort members was made during the follow-up period with 451, 338, and 598 CVD, CAD, and hypertension events, respectively. Subjects with primary RLS had a similar risk of incident CVD (hazard ratio (HR) = 0.95; 95% confidence interval (CI) = 0.86-1.04) and CAD (HR = 0.99; 95% CI = 0.89-1.13) to the comparison cohort, with a slight elevation in the risk of hypertension events (HR = 1.19; 95% CI = 1.12-1.25), after multivariable adjustment. Individuals classified as secondary RLS had a significant increased risk of CVD (HR = 1.33; 95% CI = 1.21-1.46), CAD (HR = 1.40; 95% CI = 1.25-1.56), and hypertension (HR = 1.28; 95% CI = 1.18-1.40). CONCLUSION: Primary restless legs syndrome (RLS) was not associated with new-onset cardiovascular disease (CVD) or coronary artery disease (CAD) but was associated with a slight increased risk of hypertension. In contrast, secondary RLS was associated with an increased risk of CVD, CAD, and hypertension.

Vitamin D, pregnancy, breastfeeding, and postpartum multiple sclerosis relapses.

OBJECTIVE: To determine whether low levels of 25-hydroxyvitamin D (25[OH]D) contribute to the increased risk of postpartum multiple sclerosis (MS) relapses. DESIGN: Prospective cohort study. SETTING: Outpatients identified through membership records of Kaiser Permanente Northern California or Stanford University outpatient neurology clinics. PATIENTS: Twenty-eight pregnant women with MS. INTERVENTIONS: We prospectively followed up patients through the postpartum year and assessed exposures and symptoms through structured interviews. Total serum 25(OH)D levels were measured using the DiaSorin Liaison Assay during the third trimester and 2, 4, and 6 months after giving birth. The data were analyzed using longitudinal multivariable methods. MAIN OUTCOME MEASURES: Levels of 25(OH)D and relapse rate. RESULTS: Fourteen (50%) women breastfed exclusively, and 12 women (43%) relapsed within 6 months after giving birth. During pregnancy, the average 25(OH)D levels were 25.4 ng/mL (range, 13.7-42.6) and were affected only by season (P=.009). In contrast, in the postpartum period, 25(OH)D levels were significantly affected by breastfeeding and relapse status. Levels of 25(OH)D remained low in the exclusive breastfeeding group, yet rose significantly in the nonexclusive breastfeeding group regardless of season (P=.007, unadjusted; P=.02, adjusted for season). By 4 and 6 months after childbirth, 25(OH)D levels were, on average, 5 ng/mL lower in the women who breastfed exclusively compared with the nonbreastfeeding group (P=.001). CONCLUSIONS: Pregnancy and exclusive breastfeeding are strongly associated with low 25(OH)D levels in women with MS. However, these lower vitamin D levels were not associated with an increased risk of postpartum MS relapses. These data suggest that low vitamin D in isolation is not an important risk factor for postpartum MS relapses.

Comorbid cancer in Parkinson's disease.

The aim of this article was to evaluate cancer occurrence before and after diagnosis of Parkinson's disease (PD). We investigated 692 patients newly diagnosed with PD and 761 age- and sex-matched control subjects identified during two periods (1994-1995 and 2000-2003) within Kaiser Permanente Medical Care Program of Northern California. Primary cancers were searched and dated, and all participants were followed up until the end of membership, death, or December 31, 2008. We used unconditional logistic regression to evaluate the PD-cancer association before the date of PD diagnosis or the index date and Cox proportional hazards regression to evaluate the PD-cancer association after the index date. Nearly 20% (140 of 692) of the PD patients and 25% (188 of 761) of the non-PD controls had ever had a cancer diagnosis. Before the index date, the prevalence of cancer was not significantly lower in patients with PD (8.1% PD vs. 9.2% controls; OR = 0.83; 95% CI 0.54-1.3). After the index date, the risk of developing a cancer did not differ between PD cases and controls (relative risk [RR] = 0.94; 95% CI 0.70-1.3). Among specific cancers, melanoma was more common among PD cases (before PD, OR = 1.5; 95% CI 0.40-5.2; after PD, RR = 1.6; 95% CI 0.71-3.6), but independent of dopaminergic therapy. Cancer occurrence is not significantly lower among patients with PD. The positive association between PD and subsequent melanoma merits further investigation, as it does not seem to be attributable to dopaminergic therapy, pigmentation, or confounding by smoking.

Interferon-gamma-producing T cells, pregnancy, and postpartum relapses of multiple sclerosis.

OBJECTIVE: To determine whether fluctuations in functional T-cell subsets can explain why multiple sclerosis (MS) relapses decline during pregnancy and increase in the postpartum period. DESIGN: Case-control study. SETTING: Kaiser Permanente Northern California and Stanford University. PARTICIPANTS: Twenty-six pregnant women with MS and 24 age-matched, pregnant controls. Intervention We prospectively followed up the pregnant women with MS and the age-matched, pregnant controls; conducted structured interviews; and collected peripheral blood mononuclear cells during each trimester and 2, 4, 6, 9, and 12 months post partum. MAIN OUTCOME MEASURES: Sixteen functional cell types, including interferon-gamma (IFN-gamma)- and tumor necrosis factor-producing T-cell subsets, were measured using multicolor flow cytometry. Since these cell types may also fluctuate with pregnancy, lactational amenorrhea, or MS treatment, the data were analyzed taking into account these factors. RESULTS: Fifteen women with MS (58%) had relapses during the postpartum year. CD4(+)IFN-gamma-producing cells fluctuated with MS relapses, declining during pregnancy in women with MS (P < .001) and continuing to decline after parturition in women with relapses (P = .001), yet rising or remaining stable in women with nonrelapsing MS or healthy pregnant women. Lactational amenorrhea was associated with a rise in CD4(+)IFN-gamma-producing cells in women with MS (P = .009). In contrast, CD4(+) tumor necrosis factor-producing cells decreased during lactational amenorrhea in all groups of women and, once this was taken into account, obscured any relationship to MS relapses. CD8(+)IFN-gamma-producing cells were elevated in women with MS throughout the study (P < .001) but did not fluctuate with relapses. CONCLUSIONS: Our findings suggest that a decline in circulating CD4(+)IFN-gamma-producing cells leads to postpartum MS relapses. Our findings also suggest that the decline in these cells may begin during late pregnancy and that lactational amenorrhea induced by exclusive breastfeeding may be able to interrupt this process.

Clinical features in early Parkinson disease and survival.

OBJECTIVE: To examine the association between demographic and clinical features in early Parkinson disease (PD) and length of survival in a multiethnic population. DESIGN: Clinical features within 2 years of diagnosis were determined for an inception cohort established during 1994-1995. Vital status was determined through December 31, 2005. Predictor variables included age at diagnosis, sex, race/ethnicity, as well as clinical subtype (modified tremor dominant, postural instability gait difficulty), symmetry, cognitive impairment, depression, dysphagia, and hallucinations. Cox proportional hazards regression analysis was used to identify factors associated with shorter survival. SETTING: Kaiser Permanente Medical Care Program, northern California. PATIENTS: Five hundred seventy-three men and women with newly diagnosed PD. RESULTS: Three hundred fifty-two participants in the PD cohort (61.4%) had died in the follow-up period. Older age at diagnosis (hazard ratio [HR], 1.1; 95% confidence interval [CI], 1.09-1.12), modified postural instability gait difficulty subtype (HR, 1.8; 95% CI, 1.3-2.7), symmetry of motor signs (HR, 2.0; 95% CI, 1.1-3.7), mild (HR, 1.7; 95% CI, 1.3-2.2) and severe (HR, 2.7; 95% CI, 1.9-3.9) cognitive impairment, dysphagia (HR, 1.4; 95% CI, 1.1-1.9), and hallucinations (HR, 2.1; 95% CI, 1.3-3.2) were associated with increased all-cause mortality, after adjusting for age, sex, and race/ethnicity. None of the other factors altered mortality risk. In an empirical predictive analysis, most previous significant predictors remained associated with shorter survival. CONCLUSIONS: Both motor and nonmotor features in early PD predict increased mortality risk, particularly postural instability gait difficulty, cognitive impairment, and hallucinations. These predictors may be useful in clinical practice and when designing clinical trials.

Exclusive breastfeeding and the risk of postpartum relapses in women with multiple sclerosis.

OBJECTIVE: To determine if exclusive breastfeeding protects against postpartum relapses of multiple sclerosis (MS) and, if so, whether this protection is related to prolonged lactational amenorrhea. DESIGN: We conducted structured interviews to assess clinical, menstrual, and breastfeeding history during each trimester and 2, 4, 6, 9, and 12 months postpartum and collected neurological examination findings from the treating physicians of women with MS. Hazards ratios (HRs) were adjusted for measures of disease severity and age. SETTING: Kaiser Permanente Northern California and Stanford University. PARTICIPANTS: We prospectively enrolled 32 pregnant women with MS and 29 age-matched, pregnant controls. Main Outcome Measure Postpartum relapse. RESULTS: Of the 52% of women with MS who did not breastfeed or began regular supplemental feedings within 2 months postpartum, 87% had a postpartum relapse, compared with 36% of the women with MS who breastfed exclusively for at least 2 months postpartum (unadjusted HR, 5.0; 95% confidence interval, 1.7-14.2; P = .003; adjusted HR, 7.1; 95% confidence interval, 2.1-24.3; P = .002). Sixty percent reported that the primary reason for foregoing exclusive breastfeeding was to resume MS therapies. Women who breastfed exclusively had a later return of menses (P = .001) than women who did not, and lactational amenorrhea was associated with a reduced risk of postpartum relapses (P = .01). CONCLUSIONS: Our findings suggest that exclusive breastfeeding and concomitant suppression of menses significantly reduce the risk of postpartum relapses in MS. Our findings call into question the benefit of foregoing breastfeeding to start MS therapies and should be confirmed in a larger study.