Characteristics and Prognostic Factors of SARS-CoV-2 Omicron Variant Infection in Hemodialysis Patients: A Single-Center Study in China.

INTRODUCTION: This study aimed to evaluate the characteristics and prognostic factors for coronavirus disease 2019 (COVID-19) patients on maintenance hemodialysis (HD). METHODS: All admitted HD patients who were infected with SARS-CoV-2 from December 1, 2022, to January 31, 2023, were included. Patients with pneumonia were further classified into the mild, moderate, severe, and critical illness. Clinical symptoms, laboratory results, radiologic findings, treatment, and clinical outcomes were collected. Independent risk factors for progression to critical disease and in-hospital mortality were determined by the multivariate regression analysis. The receiver operating characteristic analysis with the area under the curve was used to evaluate the predictive performance of developing critical status and in-hospital mortality. RESULTS: A total of 182 COVID-19 patients with HD were included, with an average age of the 61.55 years. Out of the total, 84 (46.1%) patients did not have pneumonia and 98 (53.8%) patients had pneumonia. Among patients with pneumonia, 48 (49.0%) had moderate illness, 26 (26.5%) severe illness, and 24 (24.5%) critical illness, respectively. Elder age [HR (95% CI): 1.07 (1.01-1.13), p <0.01], increased levels of lactate dehydrogenase (LDH) [1.01 (1.003-1.01), p <0.01], and C-reactive protein (CRP) [1.01 (1.00-1.01), p = 0.04] were risk factors for developing critical illness. Elder age [1.11 (1.03-1.19), p = 0.01], increased procalcitonin (PCT) [1.07 (1.02-1.12), p = 0.01], and LDH level [1.004 (1-1.01), p = 0.03] were factors associated with increased risk of in-hospital mortality. CONCLUSION: Age, CRP, PCT, and LDH can be used to predict negative clinical outcomes for HD patients with COVID-19 pneumonia.

Medicaid Expansion and Postoperative Mortality in Women with Gynecologic Cancer: A Difference-in-Difference Analysis.

BACKGROUND: The association between Medicaid expansion and postoperative mortality after surgery for gynecologic cancer is unknown. Our objective was to compare 30- and 90-day postoperative mortality after gynecologic cancer surgery before and after 2014 in states that did and did not expand Medicaid. METHODS: We searched the National Cancer Database for women aged 40-64 years old between 2010 and 2016 who underwent surgery for a primary gynecologic malignancy. We used pre/post and quasi-experimental difference-in-difference (DID) multivariable logistic regressions to evaluate mortality pre-2014 (2010-2013) and post-2014 (2014-2016) for states that did and did not expand Medicaid in January 2014. We completed univariable logistic regressions for covariates of interest. RESULTS: Among 169,731 women, 30-day postoperative mortality in expansion states after 2014 significantly decreased for endometrial cancer (odds ratio [OR] 0.42, 95% confidence interval [CI] 0.26-0.67) and ovarian cancer (OR 0.67, 95% CI 0.46-0.99) and increased for cervical cancer (OR 3.82, 95% CI 1.12-13.01). Compared with non-expansion states, expansion states had improved 30-day postoperative mortality for endometrial cancer after 2014 (DID OR 0.54, 95% CI 0.31-0.96). Univariable analysis demonstrated improved 30-day postoperative mortality for Black women with endometrial cancer in expansion states (DID OR 0.22, 95% CI 0.05-0.95). There was improved 90-day postoperative mortality for endometrial cancer in expansion states (OR 0.66, 95% CI 0.50-0.85), and improved 90-day postoperative mortality for Midwestern women with ovarian cancer in expansion states on univariable analysis (DID OR 0.48, 95% CI 0.26-0.91). CONCLUSIONS: State Medicaid legislation was associated with improved postoperative survival in women with endometrial cancer and subgroups of women with endometrial and ovarian cancer.

Secondary validation of an ovarian cancer-specific comorbidity index in a US population.

OBJECTIVES: The Ovarian Cancer Comorbidity Index (OCCI) is an age-specific index developed and previously found to be more predictive of overall and cancer-specific survival than the Charlson Comorbidity Index (CCI). The objective was to perform secondary validation of the OCCI in a US population. METHODS: A cohort of ovarian cancer patients undergoing primary or interval cytoreductive surgery from January 2005 to January 2012 was identified in SEER-Medicare. OCCI scores were calculated with the regression coefficients determined from the original developmental cohort for five comorbidities. Cox regression analyses were used to calculate associations between the OCCI risk groups and 5-year overall survival and 5-year cancer-specific survival in comparison to the CCI. RESULTS: A total of 5052 patients were included. Median age was 74 (range 66-82) years. 47% (n=2375) had stage III and 24% (n=1197) had stage IV disease at diagnosis. 67% had a serous histology subtype (n=3403). All patients were categorized as moderate (48.4%) or high risk (51.6%). The prevalence of the five predictive comorbidities were: coronary artery disease 3.7%, hypertension 67.5%, chronic obstructive pulmonary disease 16.7%, diabetes 21.8%, and dementia 1.2%. Controlling for histology, grade, and age-stratification, worse overall survival was associated with both a higher OCCI (hazard ratio (HR) 1.57; 95% confidence interval (CI) 1.46 to 1.69) and CCI (HR 1.96; 95% CI 1.66 to 2.32). Cancer-specific survival was associated with the OCCI (HR 1.33; 95% CI 1.22 to 1.44) but was not associated with the CCI (HR 1.15; 95% CI 0.93 to 1.43). CONCLUSIONS: This internationally developed comorbidity score for ovarian cancer patients is predictive for both overall and cancer-specific survival in a US population. CCI was not predictive for cancer-specific survival. This score may have research applications when utilizing large administrative datasets.

Assessing gaps in motherhood after cancer: development and psychometric testing of the Survivorship Oncofertility Barriers Scale.

OBJECTIVE: With a growing population of young cancer survivors, there is an increasing need to address the gaps in evidence regarding cancer survivors' obstetric outcomes, fertility care access, and experiences. As part of a large research program, this study engaged survivors and experts in co-developing and testing the validity, reliability, acceptability, and feasibility of a scale to assess survivor-reported barriers to motherhood after cancer. METHODS: Scale items were developed based on literature and expert review of 226 reproductive health items, and six experience and focus groups with 26 survivors of breast and gynecological cancers. We then invited 128 survivors to complete the scale twice, 48 hours apart, and assessed the scale's psychometric properties using exploratory factor analyses including reliability, known-group validity, and convergent validity. RESULTS: Item development identified three primary themes: multifaceted barriers for cancer survivors; challenging decisions about whether and how to pursue motherhood; and a timely need for evidence about obstetric outcomes. Retained items were developed into a 24-item prototype scale with four subscales. Prototype testing showed acceptable internal consistency (Cronbach's alpha=0.71) and test-retest reliability (intraclass correlation coefficient=0.70). Known-group validity was supported; the scale discriminated between groups by age (x=70.0 for patients ≥35 years old vs 54.5 for patients <35 years old, p=0.02) and years since diagnosis (x=71.5 for ≥6 years vs 54.3 for<6 years, p=0.01). The financial subscale was correlated with the Economic StraiN and Resilience in Cancer measure of financial toxicity (ρ=0.39, p<0.001). The scale was acceptable and feasibly delivered online. The final 22-item scale is organized in four subscales: personal, medical, relational, and financial barriers to motherhood. CONCLUSION: The Survivorship Oncofertility Barriers Scale demonstrated validity, reliability, and was acceptable and feasible when delivered online. Implementing the scale can gather the data needed to inform shared decision making and to address disparities in fertility care for survivors.

Survival outcomes following pregnancy or assisted reproductive technologies after breast cancer: A population-based study.

BACKGROUND: This study sought to determine the impact of pregnancy or assisted reproductive technologies (ART) on breast-cancer-specific survival among breast cancer survivors. METHODS: The authors performed a cohort study using a novel data linkage from the California Cancer Registry, the California birth cohort, and the Society for Assisted Reproductive Technology Clinic Outcome Reporting System data sets. They performed risk-set matching in women with stages I-III breast cancer diagnosed between 2000 and 2012. For each pregnant woman, comparable women who were not pregnant at that point but were otherwise similar based on observed characteristics were matched at the time of pregnancy. After matching, Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association of pregnancy with breast-cancer-specific survival. We repeated these analyses for women who received ART. RESULTS: Among 30,021 women with breast cancer, 553 had a pregnancy and 189 attempted at least one cycle of ART. In Cox proportional hazards modeling, the pregnancy group had a higher 5-year disease-specific survival rate; 95.6% in the pregnancy group and 90.6% in the nonpregnant group (HR, 0.43; 95% CI, 0.24-0.77). In women with hormone receptor-positive cancer, we found similar results (HR, 0.43; 95% CI, 0.2-0.91). In the ART analysis, there was no difference in survival between groups; the 5-year disease-specific survival rate was 96.9% in the ART group and 94.1% in the non-ART group (HR, 0.44; 95% CI, 0.17-1.13). CONCLUSION: Pregnancy and ART are not associated with worse survival in women with breast cancer. LAY SUMMARY: We sought to determine the impact of pregnancy or assisted reproductive technologies (ART) among breast cancer survivors. We performed a study of 30,021 women by linking available data from California and the Society for Assisted Reproductive Technology Clinic Outcome Reporting System. For each pregnant woman, we matched at the time of pregnancy comparable women who were not pregnant at that point but were otherwise similar based on observed characteristics. We repeated these analyses for women who received ART. We found that pregnancy and ART were not associated with worse survival.

Financial toxicity impact on younger versus older adults with cancer in the setting of care delivery.

BACKGROUND: Young adults and other working-age adults with cancer are at risk for cancer-related financial toxicity (FT), including material hardships, depletion of coping resources, and psychological burden. This study compares FT domains in young adults (18-39 years old) (YAs), other working-age adults (40-64 years old), and older adults (≥65 years old) receiving cancer care. METHODS: A total of 311 adults were surveyed using the multi-domain Economic Strain and Resilience in Cancer instrument measuring FT (0-10 score indicating least to greatest FT; score ≥5 severe FT). Participants were receiving ambulatory care from March-September 2019. Associations of age with overall FT and material hardship, coping resource depletion, and psychological burden FT domains were tested using Kruskal-Wallis and χ2 tests and multivariable generalized linear models with gamma distribution. RESULTS: YAs (median age, 31.5 years) comprised 9.6% of the sample; other working-age adults comprised 56.9%. Overall, material, coping, and psychological FT scores were worse in younger age adults versus older adults (P < .001 in all multivariable models). Compared with older adults, younger age adults demonstrated worse material hardship (median scores, 3.70 vs 4.80 vs 1.30 for YAs, other working-age, and older adults, respectively; P < .001), coping resource depletion (4.50 vs 3.40 vs 0.80; P < .001), and psychological burden (6.50 vs 7.00 vs 1.00; P < .001). Fifty percent of YAs had severe overall FT versus 40.7% of other working-age adults and 9.6% of older adults (P < .001). CONCLUSIONS: Younger age adults with cancer bore disproportionate FT. Interventions to address unmet needs are critical components for addressing FT in this population.

Medicaid expansion and 2-year survival in women with gynecologic cancer: a difference-in-difference analysis.

BACKGROUND: The Affordable Care Act implemented optional Medicaid expansion starting in 2014, but the association between Medicaid expansion and gynecologic cancer survival is unknown. OBJECTIVE: To evaluate the impact of Medicaid expansion by comparing 2-year survival among gynecologic cancers before and after 2014 in states that did and did not expand Medicaid using a difference-in-difference analysis. STUDY DESIGN: We searched the National Cancer Database for women aged 40 to 64 years, diagnosed with a primary gynecologic malignancy (endometrial, ovarian, cervical, vulvar, and vaginal) between 2010 and 2016. We used a quasiexperimental difference-in-difference multivariable Cox regression analysis to compare 2-year survival between states that expanded Medicaid in January 2014 and states that did not expand Medicaid as of 2016. We performed univariable subgroup difference-in-difference Cox regression analyses on the basis of stage, income, race, ethnicity, and geographic location. Adjusted linear difference-in-difference regressions evaluated the proportion of uninsured patients on the basis of expansion status after 2014. We evaluated adjusted Kaplan-Meier curves to examine differences on the basis of study period and expansion status. RESULTS: Our sample included 169,731 women, including 78,669 (46.3%) in expansion states and 91,062 (53.7%) in nonexpansion states. There was improved 2-year survival on adjusted difference-in-difference Cox regressions for women with ovarian cancer in expansion than in nonexpansion states after 2014 (hazard ratio, 0.88; 95% confidence interval, 0.82-0.94; P<.001) with no differences in endometrial, cervical, vaginal, vulvar, or combined gynecologic cancer sites on the basis of expansion status. On univariable subgroup difference-in-difference Cox analyses, women with ovarian cancer with stage III-IV disease (P=.008), non-Hispanic ethnicity (P=.042), those in the South (P=.016), and women with vulvar cancer in the Northeast (P=.022), had improved 2-year survival in expansion than in nonexpansion states after 2014. In contrast, women with cervical cancer in the South (P=.018) had worse 2-year survival in expansion than in nonexpansion states after 2014. All cancer sites had lower proportions of uninsured patients in expansion than in nonexpansion states after 2014. CONCLUSION: There was a significant association between Medicaid expansion and improved 2-year survival for women with ovarian cancer in states that expanded Medicaid after 2014. Despite improved insurance coverage, racial, ethnic, and regional survival differences exist between expansion and nonexpansion states.

Temporal trends of healthcare system use between symptomatic presentation and ovarian cancer diagnosis in the United States.

OBJECTIVE: To describe trends in healthcare system use over time between onset of classic ovarian cancer symptoms and ovarian cancer diagnosis in the United States. METHODS: A population-based study of the Surveillance, Epidemiology, and End Results-Medicare database was conducted on patients aged ≥66 years with stage II-IV epithelial ovarian cancer between 1992 and 2015 with at least one of the following diagnosis codes: abdominal pain, bloating, difficulty eating, and/or urinary symptoms. The outcomes were frequency of visit type, frequency of diagnostic modality, and Medicare reimbursement between first symptomatic claim and cancer diagnosis. Jonckheere-Terpstra and Cochran-Armitage tests were used to evaluate trends over time. RESULTS: Among 13 872 women, 13 541 (97.6%) had outpatient, 6466 (46.6%) had inpatient, and 4906 (35.4%) had emergency room visits. The frequency of outpatient (p<0.001) and emergency room visits (p<0.001) increased while the frequency of inpatient visits (p<0.001) decreased between 1992 and 2015. The median number of outpatient visits (p<0.001) and physician specialties seen (p<0.001) increased over time. The median hospital length of stay decreased from 10 days in 1992 to 5 days in 2015 (p<0.001). Between 1992 and 2015, the frequency of ultrasound decreased (p<0.001) while the frequency of computed tomography, magnetic resonance imaging, positron emission tomography imaging, and cancer antigen 125 tumor immunoassay increased (p<0.001). Median monthly total (p<0.001), inpatient (p<0.001), and outpatient (p=0.006) reimbursements decreased while emergency room reimbursements increased (p<0.001) over time. CONCLUSION: Healthcare reimbursement between symptomatic presentation and ovarian cancer diagnosis has decreased over time and may reflect the trends in fewer and shorter hospitalizations and increased use of emergency and outpatient management during the evaluation of symptoms of women with ovarian cancer.

Employment disruption among women with gynecologic cancers.

BACKGROUND: Adverse employment outcomes pose significant challenges for cancer patients, though data patients with gynecologic cancers are sparse. We evaluated the decrease in employment among patients in the year following the diagnosis of a gynecologic cancer compared with population-based controls. METHODS: Patients aged 18 to 63 years old, who were diagnosed with cervical, ovarian, endometrial, or vulvar cancer between January 2009 and December 2017, were identified in Truven MarketScan, an insurance claims database of commercially insured patients in the USA. Patients working full- or part-time at diagnosis were matched to population-based controls in a 1:4 ratio via propensity score. Multivariable Cox proportional hazards models were used to evaluate the risk of employment disruption in patients versus controls. RESULTS: We identified 7446 women with gynecologic cancers (191 vulvar, 941 cervical, 1839 ovarian, and 4475 endometrial). Although most continued working following diagnosis, 1579 (21.2%) changed from full- or part-time employment to long-term disability, retirement, or work cessation. In an adjusted model, older age, the presence of comorbidities, and treatment with surgery plus adjuvant therapy versus surgery alone were associated with an increased risk of employment disruption (p<0.0003, p=0.01, and p<0.0001, respectively) among patients with gynecologic cancer. In the propensity-matched cohort, patients with gynecologic cancers had over a threefold increased risk of employment disruption relative to controls (HR 3.67, 95% CI 3.44 to 3.95). CONCLUSION: Approximately 21% of patients with gynecologic cancer experienced a decrease in employment in the year after diagnosis. These patients had over a threefold increased risk of employment disruption compared with controls.

Association between time to diagnosis, time to treatment, and ovarian cancer survival in the United States.

OBJECTIVE: Evaluate the association between time to diagnosis and treatment of advanced ovarian cancer with overall and ovarian cancer specific mortality using a retrospective cross sectional study of a population based cancer registry database. METHODS: The Surveillance, Epidemiology, and End Results-Medicare database was searched from 1992 to 2015 for women aged ≥66 years with epithelial ovarian cancer and abdominal/pelvic pain, bloating, difficulty eating, or urinary symptoms within 1 year of cancer diagnosis. Time from presentation to diagnosis and treatment were evaluated as outcomes and covariables. Cox regression models and adjusted Kaplan-Meier curves evaluated 5 year overall and cancer-specific survival. RESULTS: Among 13 872 women, better survival was associated with longer time from presentation to diagnosis (overall survival hazard ratio (HR) 0.95, 95% confidence interval (CI) 0.94 to 0.95; cancer specific survival HR 0.95, 95% CI 0.94 to 0.96) and diagnosis to treatment (overall survival HR 0.94, 95% CI 0.92 to 0.96; cancer specific survival HR 0.93, 95% CI 0.91 to 0.96). There was longer time from presentation to diagnosis in Hispanic women (relative risk (RR) 1.21, 95% CI 1.12 to 1.32) and from diagnosis to treatment in non-Hispanic black women (RR 1.36, 95% CI 1.21 to 1.54), with lower likelihood of survival at 5 years after adjustment for time to diagnosis and treatment among non-Hispanic black women (HR 1.15, 95% CI 1.05 to 1.26) compared with non-Hispanic white women. Gynecologic oncology visit was associated with improved overall (p<0.001) and cancer specific (p<0.001) survival despite a longer time from presentation to treatment (p<0.001). CONCLUSION: Longer time to diagnosis and treatment were associated with improved survival, suggesting that tumor specific features are more important prognostic factors than the time interval of workup and treatment. Significant sociodemographic disparities indicate social determinants of health influencing workup and care. Gynecologic oncologist visits were associated with improved survival, highlighting the importance of appropriate referral for suspected ovarian cancer.

Factors impacting the time to ovarian cancer diagnosis based on classic symptom presentation in the United States.

BACKGROUND: Patients with ovarian cancer often present with late-stage disease and nonspecific symptoms, but little is known about factors affecting the time to diagnosis (TTD) in the United States. METHODS: A retrospective, population-based study of the Surveillance, Epidemiology, and End Results-Medicare database was conducted. It included women 66 years old or older with stage II to IV epithelial ovarian cancer with at least 1 code for abdominal/pelvic pain, bloating, difficulty eating, or urinary symptoms within 1 year of the cancer diagnosis. TTD was defined from the first claim with a prespecified symptom to the ovarian cancer diagnosis. Kruskal-Wallis tests were used to assess for differences in TTD by group medians. Univariate and generalized linear models with a log-link function evaluated TTD by covariables. RESULTS: For the 13,872 women analyzed, the mean and median times to diagnosis were 2.9 and 1.1 months, respectively. The median TTD differed significantly by first symptom (P < .001), number of symptoms (P < .001), and first physician specialty seen (P < .001). In a multivariable analysis, TTD differed significantly according to race/ethnicity (P < .001), geographic region (P = .001), urban-rural location (P = .031), emergency room presentation (P < .001), and number of specialties seen (P < .001). A shorter TTD was associated with a diagnosis in 2006-2010 (relative risk [RR], 0.92; 95% confidence interval [CI], 0.87-0.98) or 2011-2015 (RR, 0.87; 95% CI, 0.81-0.93) in comparison with 1992-1999. CONCLUSIONS: The time from a symptomatic presentation to care to a diagnosis of ovarian cancer is influenced by clinical and demographic variables. This study's findings reinforce the importance of educating all physicians on ovarian cancer symptoms to aid in diagnosis. LAY SUMMARY: Ovarian cancer is often diagnosed once disease has spread because the classic symptoms of ovarian cancer-abdominal or pelvic pain, bloating, difficulty eating, and urinary issues-can be mistaken for other problems. This study examined the time between when women with classic ovarian cancer symptoms went to a physician and when they received a cancer diagnosis in a large database population. The authors found that the time to diagnosis differed according to the type and number of symptoms and what type of physician a woman saw as well as factors such as race, geographic location, and year of diagnosis.

Impact of provider type and number of providers on surveillance testing among survivors of head and neck cancers.

BACKGROUND: Guidelines for follow-up after head and neck cancer (HNC) treatment recommend frequent clinical examinations and surveillance testing. Here, the authors describe real-world follow-up care for HNC survivors and variations in surveillance testing. METHODS: Using Surveillance, Epidemiology, and End Results (SEER)-Medicare data, this study examined a population-based cohort of HNC survivors between 2001 and 2011 Usage of cross-sectional head and neck imaging (CHNI), chest imaging (CI), positron emission tomography (PET), fiberoptic nasopharyngolaryngoscopy (FNPL), and, in irradiated patients, thyroid function testing (TFT) was captured over 2 consecutive surveillance years. Multivariate modeling with logistic regression analyses was used to assess variations by clinical factors, nonclinical factors, number and types of providers seen and their evolution over time. RESULTS: Among 13,836 HNC survivors, the majority saw a medical, radiation, or surgical oncologist and a primary care provider (PCP; 81.7%) in their first year of surveillance. However, only 58.1% underwent either PET or CHNI, 47.8% underwent CHNI, 64.1% underwent CI, 32.5% underwent PET scans, 55.0% underwent FNPL, and 55.9% underwent TFT. In multivariate analyses, patients who followed up with more providers and those who followed up with both a PCP and an oncologist were more likely to undergo surveillance testing (P < .007). However, adjusting for providers seen did not explain the variations in surveillance testing rates based on age, race, education, income level, and place of residence. Over time, there was a gradual increase in the use of PET scans and TFT during surveillance years. CONCLUSIONS: In this large SEER-Medicare data study, only half of HNC survivors received the recommended testing, and greater compliance was seen in those who followed up with both an oncologist and a PCP. More attention is needed to minimize variations in surveillance testing across sociodemographic groups.

Employment disruption following the diagnosis of endometrial cancer.

BACKGROUND: Oncologic treatment has been associated with unemployment. As endometrial cancer is highly curable, it is important to assess whether patients experience employment disruption after treatment. We evaluated the frequency of employment change following endometrial cancer diagnosis and assessed factors associated with it. METHODS: A cohort of patients 18-63 years-old who were diagnosed with endometrial cancer (January 2009-December 2017) were identified in the Truven MarketScan database, an insurance claims database of commercially insured patients in the United States. All patients who were working full- or part-time at diagnosis were included and all employment changes during the year following diagnosis were identified. Clinical information, including use of chemotherapy and radiation, were identified using Common Procedural Terminology codes, and International Statistical Classification of Diseases codes. Cox proportional hazards models incorporating measured covariates were used to evaluate the impact of treatment and demographic variables on change in employment status. RESULTS: A total of 4381 women diagnosed with endometrial cancer who held a full-time or part-time job 12 months prior to diagnosis were identified. Median age at diagnosis was 55 and a minority of patients received adjuvant therapy; 7.9% received chemotherapy, 4.9% received external-beam radiation therapy, and 4.1% received chemoradiation. While most women continued to work following diagnosis, 21.7% (950) experienced a change in employment status. The majority (97.7%) of patients had a full-time job prior to diagnosis. In a multivariable analysis controlling for age, region of residence, comorbidities, insurance plan type and presence of adverse events, chemoradiation recipients were 34% more likely to experience an employment change (HR 1.34, 95% CI 1.01-1.78), compared to those who only underwent surgery. CONCLUSION: Approximately 22% of women with employer-subsidized health insurance experienced a change in employment status following the diagnosis of endometrial cancer, an often-curable disease. Chemoradiation was an independent predictor of change in employment.

Patient cost sharing during poly(adenosine diphosphate-ribose) polymerase inhibitor treatment in ovarian cancer.

BACKGROUND: More patients with ovarian cancer are being treated with poly(adenosine diphosphate-ribose) polymerase inhibitors because regulatory agencies have granted these drugs new approvals for a variety of treatment indications. However, poly(adenosine diphosphate-ribose) polymerase inhibitors are expensive. When administered as a maintenance therapy, these drugs may be administered for months or years. How much of this cost patients experience as out-of-pocket spending is unknown. OBJECTIVE: This study aimed to estimate the out-of-pocket spending that patients experience during poly(adenosine diphosphate-ribose) polymerase inhibitor treatment and to characterize which healthcare services account for that spending. STUDY DESIGN: A retrospective cohort study was performed with a sample of patients with ovarian cancer treated between 2014 and 2017 with olaparib, niraparib, or rucaparib. Patients were identified using MarketScan, a health insurance claims database. All insurance claims during poly(adenosine diphosphate-ribose) polymerase inhibitor treatment were collected. The primary outcome variable was the patients' out-of-pocket spending (copayment, coinsurance, and deductibles) during poly(adenosine diphosphate-ribose) polymerase inhibitor treatment for the medication itself. Other outcomes of interest included out-of-pocket spending for other healthcare services, the types and frequency of other healthcare services used, health plan spending, the estimated proportion of patients' household income used each month for healthcare, and patients' out-of-pocket spending immediately before poly(adenosine diphosphate-ribose) polymerase inhibitor treatment. RESULTS: We identified 503 patients with ovarian cancer with a median age of 55 years (interquartile range, 50-62 years); 83% of those had out-of-pocket spendings during poly(adenosine diphosphate-ribose) polymerase inhibitor treatment. The median treatment duration was 124 days (interquartile range, 66-240 days). The mean out-of-pocket spending for poly(adenosine diphosphate-ribose) polymerase inhibitors was $305 (standard deviation, $2275) per month. On average, this accounted for 44.8% (standard deviation, 34.8%) of the patients' overall monthly out-of-pocket spending. The mean out-of-pocket spending for other healthcare services was $165 (standard deviation, $769) per month. Health plans spent, on average, $12,661 (standard deviation, $15,668) per month for poly(adenosine diphosphate-ribose) polymerase inhibitors and $7108 (standard deviation, $15,254) per month for all other healthcare services. The cost sharing for office visits, laboratory tests, and imaging studies represented the majority of non-poly(adenosine diphosphate-ribose) polymerase inhibitor treatment out-of-pocket spending. The average amount patients paid for all healthcare services per month during poly(adenosine diphosphate-ribose) polymerase inhibitor treatment was $470 (standard deviation, $2407), which was estimated to be 8.7% of the patients' monthly household income. The mean out-of-pocket spending in the 12 months before poly(adenosine diphosphate-ribose) polymerase inhibitor treatment was $3110 (standard deviation, $6987). CONCLUSION: Patients can face high out-of-pocket costs for poly(adenosine diphosphate-ribose) polymerase inhibitors, although the sum of cost sharing for other healthcare services used during poly(adenosine diphosphate-ribose) polymerase inhibitor treatment is often higher. The spending on healthcare costs consumes a large proportion of these patients' household income. Patients with ovarian cancer experience high out-of-pocket costs for healthcare, both before and during poly(adenosine diphosphate-ribose) polymerase inhibitor treatment.

Oncological outcomes of laparoscopic radical hysterectomy versus radical abdominal hysterectomy in patients with early-stage cervical cancer: a multicenter analysis.

INTRODUCTION: Recent evidence has shown adverse oncological outcomes when minimally invasive surgery is used in early-stage cervical cancer. The objective of this study was to compare disease-free survival in patients that had undergone radical hysterectomy and pelvic lymphadenectomy, either by laparoscopy or laparotomy. METHODS: We performed a multicenter, retrospective cohort study of patients with cervical cancer stage IA1 with lymph-vascular invasion, IA2, and IB1 (FIGO 2009 classification), between January 1, 2006 to December 31, 2017, at seven cancer centers from six countries. We included squamous, adenocarcinoma, and adenosquamous histologies. We used an inverse probability of treatment weighting based on propensity score to construct a weighted cohort of women, including predictor variables selected a priori with the possibility of confounding the relationship between the surgical approach and survival. We estimated the HR for all-cause mortality after radical hysterectomy with weighted Cox proportional hazard models. RESULTS: A total of 1379 patients were included in the final analysis, with 681 (49.4%) operated by laparoscopy and 698 (50.6%) by laparotomy. There were no differences regarding the surgical approach in the rates of positive vaginal margins, deep stromal invasion, and lymphovascular space invasion. Median follow-up was 52.1 months (range, 0.8-201.2) in the laparoscopic group and 52.6 months (range, 0.4-166.6) in the laparotomy group. Women who underwent laparoscopic radical hysterectomy had a lower rate of disease-free survival compared with the laparotomy group (4-year rate, 88.7% vs 93.0%; HR for recurrence or death from cervical cancer 1.64; 95% CI 1.09-2.46; P=0.02). In sensitivity analyzes, after adjustment for adjuvant treatment, radical hysterectomy by laparoscopy compared with laparotomy was associated with increased hazards of recurrence or death from cervical cancer (HR 1.7; 95% CI 1.13 to 2.57; P=0.01) and death for any cause (HR 2.14; 95% CI 1.05-4.37; P=0.03). CONCLUSION: In this retrospective multicenter study, laparoscopy was associated with worse disease-free survival, compared to laparotomy.

Quantifying Decoherence via Increases in Classicality.

As a direct consequence of the interplay between the superposition principle of quantum mechanics and the dynamics of open systems, decoherence is a recurring theme in both foundational and experimental exploration of the quantum realm. Decoherence is intimately related to information leakage of open systems and is usually formulated in the setup of "system + environment" as information acquisition of the environment (observer) from the system. As such, it has been mainly characterized via correlations (e.g., quantum mutual information, discord, and entanglement). Decoherence combined with redundant proliferation of the system information to multiple fragments of environment yields the scenario of quantum Darwinism, which is now a widely recognized framework for addressing the quantum-to-classical transition: the emergence of the apparent classical reality from the enigmatic quantum substrate. Despite the half-century development of the notion of decoherence, there are still many aspects awaiting investigations. In this work, we introduce two quantifiers of classicality via the Jordan product and uncertainty, respectively, and then employ them to quantify decoherence from an information-theoretic perspective. As a comparison, we also study the influence of the system on the environment.

National trends in bowel and upper abdominal procedures in ovarian cancer surgery.

OBJECTIVES: In the United States, trends in the initial treatment approach for ovarian cancer reflect a shift in paradigm toward the increased use of neoadjuvant chemotherapy and interval cytoreductive surgery. The aim of this study was to evaluate the trends in surgical cytoreductive procedures in ovarian cancer patients who underwent either primary or interval cytoreductive surgery. METHODS: This retrospective, population-based study examined patients with stage III/IV ovarian cancer diagnosed between January 2000 and December 2013 identified using SEER-Medicare. Small or large bowel resection, ostomy creation, and upper abdominal procedures were identified using relevant billing codes and compared over time. A 1:1 primary and interval cytoreductive propensity matched cohort was created using demographic and clinical variables. 30-day complications and the use of acute care services were compared. RESULTS: A total of 5417 women were identified. 34% underwent bowel resections, 16% ostomy creation, and 8% upper abdominal procedures. There was an increase in bowel resections and upper abdominal procedures from 2000 to 2013 in patients who underwent primary cytoreductive surgery. Compared with patients who received primary cytoreduction, patients who underwent interval cytoreductive surgery were less likely to undergo bowel resection (OR=0.50; 95% CI [0.41, 0.61]) or ostomy creation (OR=0.48; 95% CI [0.42, 0.56]). Upper abdominal procedures did not differ between groups. For patients who underwent primary cytoreductive surgery, these procedures were associated with intensive care unit stay (4.6% vs <2%, P<0.01). In both primary and interval cytoreductive surgery patients, the receipt of bowel and upper abdominal procedures was associated with multiple 30-day postoperative complications and higher rates of readmission and emergency room visits. CONCLUSIONS: The performance of upper abdominal procedures in ovarian cancer patients increased from 2000 to 2013. Interval cytoreductive surgery was associated with decreased likelihood of bowel surgery. In matched primary and interval cytoreductive surgery cohorts, the receipt of these procedures were associated with the increased likelihood of postoperative complications and use of acute care services.

Body mass index and attitudes towards health behaviors among women with endometrial cancer before and after treatment.

INTRODUCTION: Some experts have argued that obesity-related malignancies such as endometrial cancer are a "teachable moment" that lead to meaningful changes in health behaviors. It is unclear if endometrial cancer survivors lose weight following treatment. Our goal with this investigation was to evaluate post-treatment changes in body mass index (BMI) and attitudes towards health behaviors in endometrial cancer survivors. METHODS: Incident endometrial cancer cases undergoing surgery between 2009-2015 were identified in the Marketscan Commercial database and linked with BMI data and health behavior questionnaires from the Marketscan Health Risk Assessment database. Patients were excluded for insufficient BMI data. Standard statistical methods, including the two-sample Wilcoxon rank sum test, χ2 test, and McNemar's test, were used. RESULTS: 655 patients with a median age of 54 (IQR 49-58) were identified and analyzed. Median duration of follow-up was 595 days (IQR 360-1091). Mean pre- and post-treatment BMI was 35.5 kg/m2 (median 35.0; IQR 27.0-42.3) and 35.6 kg/m2 (median 34.3; IQR 28.0-42.0), respectively. Median BMI change in the entire cohort was 0 kg/m2 (IQR -1.0 to 2.0). Weight gain (n=302; 46.1%) or no change in weight (n=106; 16.2%) was seen in most patients. Among the 302 patients who gained weight, the mean pre-treatment BMI was 34.0 kg/m2 and mean increase was 2.8 kg/m2 (median 2.0; IQR 1.0-3.4). Among the 247 cases who lost weight, the mean pre-treatment BMI was 38.6 kg/m2 and mean decrease was 3.2 kg/m2 (median 2.0; IQR 1.0-4.0). No pre- to post-treatment differences were observed in health behavior questionnaires regarding intention to better manage their diet, exercise more, or lose weight. DISCUSSION: Most endometrial cancer survivors gain weight or maintain the same weight following treatment. No post-treatment changes in attitudes regarding weight-related behaviors were observed. The systematic delivery of evidence-based weight loss interventions should be a priority for survivors of endometrial cancer.

Retrospective Analysis of Clinical Outcomes in Patients with Immunoglobulin A Nephropathy and Persistent Hematuria Following Renin-Angiotensin System Blockade.

BACKGROUND Recent guidelines recommend that patients with immunoglobulin A nephropathy (IgAN) and proteinuria 0.5-1 g/d and >1 g/d be treated with long-term renin-angiotensin system blockade (RASB). This study investigated whether patients with IgAN and persistent hematuria, but without proteinuria, can benefit from RASB. MATERIAL AND METHODS IgAN patients with persistent hematuria at four centers were recruited from January 2013 to December 2018. Patients were divided into those who did and did not receive long-term RASB. The primary outcome was the appearance of proteinuria, and the secondary outcomes were the decreased percentage of hematuria, rate of decline in estimated glomerular filtration rate (eGFR) and final blood pressure. The effects of RASB on these outcomes were assessed by multivariate Cox regression models and propensity score matching. RESULTS Of the 110 eligible patients, 44 (40.0%) received RASB and 66 (60.0%) did not. Treated patients had higher diastolic pressure. The unadjusted primary outcome, the appearance of proteinuria, was significantly less frequent in individuals who were than who were not treated with RASB. Multivariate Cox regression showed that RASB reduced the risk of the primary outcome and the levels of hematuria. The rate of eGFR decline and final blood pressure did not differ in the two groups. CONCLUSIONS RASB reduced the risk of proteinuria development and increased the remission of hematuria in patients with IgAN who presented with persistent hematuria alone. RASB, however, did not affect blood pressure in patients without hypertension and did not affect the rate of eGFR decline.

Centers for Medicare and Medicaid Services' Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) scores and gynecologic oncology surgical outcomes.

OBJECTIVE: The Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) is a national survey of inpatient experience. This study evaluated the association between HCAHPS survey results and outcomes in gynecologic cancer surgery. METHODS: This observational study used HCAHPS survey data from 2009 to 2011 to assign hospitals into score terciles. The Nationwide Inpatient Sample (NIS) database was used to identify admissions during the same time period for gynecologic cancer-specific surgeries. Data sources were linked at the hospital level. Postoperative complications, mortality, and prolonged length of stay were compared between higher and lower scoring hospitals. Complications were grouped as 'surgical', 'medical', or 'care team'. Mixed effects models were used to evaluate the associations between hospitals' HCAHPS scores and outcomes after adjustment for patient and hospital-level variables. RESULTS: 17,509 linked encounters in 651 hospitals across the U.S. were identified, with 51% uterine, 40% ovarian, and 9% cervical cancer surgical admissions. In-hospital mortality was lower in hospitals in the top HCAHPS score terciles compared to bottom HCAHPS score tercile (odds ratio (OR) 0.54, 95% CI: 0.31-0.94). Surgery in higher scoring HCAHPS hospitals was associated with less 'surgical' complications (OR 0.82, 95% CI 0.69-0.98). No association was found between 'medical', 'care team', overall complications, or prolonged hospitalization (p > 0.05) and HCAHPS scores. CONCLUSIONS: Gynecologic oncology surgeries performed in top HCAHPS tercile hospitals were associated with lower in-hospital mortality and surgical complications compared to surgeries performed in bottom tercile hospitals. Associations between HCAHPS scores and other adverse events were not seen.