Prescription Non-Steroidal Anti-Inflammatory Drugs (NSAIDs) and Incidence of Depression Among Older Cancer Survivors With Osteoarthritis: A Machine Learning Analysis.

ObjectiveS: This study examined prescription NSAIDs as one of the leading predictors of incident depression and assessed the direction of the association among older cancer survivors with osteoarthritis. Methods: This study used a retrospective cohort (N = 14, 992) of older adults with incident cancer (breast, prostate, colorectal cancers, or non-Hodgkin's lymphoma) and osteoarthritis. We used the longitudinal data from the linked Surveillance, Epidemiology, and End Results -Medicare data for the study period from 2006 through 2016, with a 12-month baseline and 12-month follow-up period. Cumulative NSAIDs days was assessed during the baseline period and incident depression was assessed during the follow-up period. An eXtreme Gradient Boosting (XGBoost) model was built with 10-fold repeated stratified cross-validation and hyperparameter tuning using the training dataset. The final model selected from the training data demonstrated high performance (Accuracy: 0.82, Recall: 0.75, Precision: 0.75) when applied to the test data. SHapley Additive exPlanations (SHAP) was used to interpret the output from the XGBoost model. Results: Over 50% of the study cohort had at least one prescption of NSAIDs. Nearly 13% of the cohort were diagnosed with incident depression, with the rates ranging between 7.4% for prostate cancer and 17.0% for colorectal cancer. The highest incident depression rate of 25% was observed at 90 and 120 cumulative NSAIDs days thresholds. Cumulative NSAIDs days was the sixth leading predictor of incident depression among older adults with OA and cancer. Age, education, care fragmentation, polypharmacy, and zip code level poverty were the top 5 predictors of incident depression. Conclusion: Overall, 1 in 8 older adults with cancer and OA were diagnosed with incident depression. Cumulative NSAIDs days was the sixth leading predictor with an overall positive association with incident depression. However, the association was complex and varied by the cumulative NSAIDs days.

COVID-19 Legacy.

Coronavirus disease 2019 (COVID-19) is an infection caused by the severe acute respiratory syndrome-coronavirus-2 virus that led to a pandemic. Acute manifestations of COVID-19 include fever, cough, dyspnea, respiratory failure, pneumonitis, anosmia, thromboembolic events, cardiogenic shock, renal injury, ischemic strokes, encephalitis, and cutaneous eruptions, especially of hands or feet. Prolonged symptoms, unpredictable recoveries, and chronic sequelae (long COVID) sometimes emerge even for some people who survive the initial illness. Sequelae such as fatigue occasionally persist even for those with only mild to moderate cases. There is much to learn about postacute COVID-19 dyspnea, anosmia, psychosis, thyroiditis, cardiac arrhythmia, and/or multisystem inflammatory response syndrome in children. Determining prognoses is imprecise. Examining patient databases about those who have survived COVID-19 is warranted. Multidisciplinary teams are assessing such disease databases to better understand longer-term complications and guide treatment.

Low-value care and excess out-of-pocket expenditure among older adults with incident cancer - A machine learning approach.

OBJECTIVE: To evaluate the association of low-value care with excess out-of-pocket expenditure among older adults diagnosed with incident breast, prostate, colorectal cancers, and Non-Hodgkin's Lymphoma. METHODS: We used a retrospective cohort study design with 12-month baseline and follow-up periods. We identified a cohort of older adults (age ≥ 66 years) diagnosed with breast, prostate, colorectal cancers, or Non-Hodgkin's lymphoma between January 2014 and December 2014. We assessed low-value care and patient out-of-pocket expenditure in the follow-up period. We identified relevant low-value services using ICD9/ICD10 and CPT/HCPCS codes from the linked health claims and patient out-of-pocket expenditure from Medicare claim files and expressed expenditure in 2016 USD. RESULTS: About 29 % of older adults received at least one low-value care procedure during the follow-up period. Low-value care differed by gender, and rates were higher in women with colorectal cancer (32.7 %) vs. (28.8 %) and NHL (40 %) vs. (39 %) compared to men. Individuals who received one or more low-value care procedures had significantly higher mean out-of-pocket expenditure ($8,726 ± $7,214) vs. ($6,802 ± $6,102). XGBOOST, a machine learning algorithm revealed that low-value care was among the five leading predictors of OOP expenditure. CONCLUSION: One in four older adults with incident cancer received low-value care in 12-months after a cancer diagnosis. Across all cancer populations, individuals who received low-value care had significantly higher out-of-pocket expenditure. Excess out-of-pocket expenditure was driven by low-value care, fragmentation of care, and an increasing number of pre-existing chronic conditions. POLICY STATEMENT: This study focuses on health policy issues, specifically value-based care and its findings have important clinical and policy implications for Centers for Medicare and Medicaid Services (CMS) which has issued a roadmap for states to accelerate the adoption of value-based care, with the Department of Health and Human Services (HHS) setting a goal of converting 50 % of traditional Medicare payment systems to alternative payment models tied to value-based care by 2022.

Predictors of Co-occurring Cardiovascular and Gastrointestinal Disorders among Elderly with Osteoarthritis.

Objective: To identify the leading predictors of co-occurring cardiovascular or gastrointestinal disorders (CV-GID) in a real-world cohort of elderly with osteoarthritis (OA). Method: An observational retrospective cohort study using data from Optum's deidentified Clinformatics® Data Mart was conducted. Elderly with OA were identified in 2015 and were followed for two years to identify co-occurring CV-GID including ischemic heart disease, stroke, heart failure, dyspepsia, gastroesophageal reflux disorder, and peptic ulcer disease. Random Forest (RF) and Partial Dependence Plots (PDP) were used to identify the leading predictors of CV-GID and to examine their associations. Multivariable logistic regression was also used to examine the association of the leading predictors with CV-GID. Results: Our study cohort consisted of 45,385 elderly with OA (mean age 76.0 years). CV-GID were present in 59% of elderly. Using RF, age was found to be the strongest predictor of CV-GID followed by cardiac arrhythmia, duration of opioid use, number of orthopedist or physical therapy visits, number of intra-articular corticosteroid injections, polypharmacy, duration of non-selective nonsteroidal anti-inflammatory drugs or oral corticosteroids, and hypertension. The PDPs demonstrated that higher age, cardiac arrhythmia, longer durations of opioid or oral corticosteroids, higher number of physical therapy visits or intra-articular corticosteroid use, polypharmacy, and hypertension were associated with a higher risk of CV-GID. Conclusion: CV-GIDs are common among elderly with OA and can be predicted based on certain clinical factors. Machine learning methods with PDPs can be used to improve the interpretability and inform decision-making.

A Machine Learning Approach to Identify Predictors of Potentially Inappropriate Non-Steroidal Anti-Inflammatory Drugs (NSAIDs) Use in Older Adults with Osteoarthritis.

Evidence from some studies suggest that osteoarthritis (OA) patients are often prescribed non-steroidal anti-inflammatory drugs (NSAIDs) that are not in accordance with their cardiovascular (CV) or gastrointestinal (GI) risk profiles. However, no such study has been carried out in the United States. Therefore, we sought to examine the prevalence and predictors of potentially inappropriate NSAIDs use in older adults (age > 65) with OA using machine learning with real-world data from Optum De-identified Clinformatics® Data Mart. We identified a retrospective cohort of eligible individuals using data from 2015 (baseline) and 2016 (follow-up). Potentially inappropriate NSAIDs use was identified using the type (COX-2 selective vs. non-selective) and length of NSAIDs use and an individual's CV and GI risk. Predictors of potentially inappropriate NSAIDs use were identified using eXtreme Gradient Boosting. Our study cohort comprised of 44,990 individuals (mean age 75.9 years). We found that 12.8% individuals had potentially inappropriate NSAIDs use, but the rate was disproportionately higher (44.5%) in individuals at low CV/high GI risk. Longer duration of NSAIDs use during baseline (AOR 1.02; 95% CI:1.02-1.02 for both non-selective and selective NSAIDs) was associated with a higher risk of potentially inappropriate NSAIDs use. Additionally, individuals with low CV/high GI (AOR 1.34; 95% CI:1.20-1.50) and high CV/low GI risk (AOR 1.61; 95% CI:1.34-1.93) were also more likely to have potentially inappropriate NSAIDs use. Heightened surveillance of older adults with OA requiring NSAIDs is warranted.

Managing rheumatic diseases during COVID-19.

Rheumatology practice, during Coronavirus Disease 2019 (COVID-19) pandemic, has faced multifaceted challenges. Rheumatologists routinely prescribe immunosuppressant medications to their patients with multisystem autoimmune rheumatic diseases who are concerned about the increased risk of acquiring COVID-19 infection and are anxious to know if they should continue or hold these medications. Rheumatologists are often inundated by calls from their patients and physician colleagues caring for COVID-19 patients in hospitals, about how to manage the immunosuppression. Physicians face the challenging task of keeping up with the most up-to-date information on COVID-19. There are uncertainties about the mode of spread, clinical features, management options as well as long-term complications of COVID-19. Data are rapidly evolving and different studies on treatment options are showing contradictory results. It is known that viral illnesses can trigger a flare-up of underlying rheumatic disease that was previously in remission. To further complicate the scenario, some of the immunosuppressants have shown to have antiviral properties. This has created dilemma in the light of current COVID-19 crisis, as whether to continue or stop the immunosuppressive agents which could be essential to prevent complications of the rheumatic diseases including organ failure but also there is concern about acquiring COVID-19 or developing serious infection. Until we get an effective vaccine, immunosuppressant management for rheumatic diseases as well as other autoimmune diseases and transplants will pose difficult questions. This article is an attempt to review and understand COVID-19 and its impact on the immune system with special emphasis on managing medications used for autoimmune rheumatic diseases. We have provided general guidance about decision making, in regards to the immunosuppressive agents used in rheumatology practice with an understanding that this may change in near future.

The Association of Beta-Blocker Use to Cognitive Impairment among Adults with Hypertension or Cardiovascular Diseases in the United States.

BACKGROUND: Some studies have shown that beta-blocker use is associated with better cognitive impairment. However, these studies did not control for pain. The relationship between pain and cognitive impairment has been exhaustively investigated. The association of beta blockers to cognitive impairment in the presence of chronic pain is still unknown. OBJECTIVE: To examine the independent association of beta-blocker use to cognitive impairment among adults with hypertension or Cardiovascular Diseases (CVDs). METHODS: We used a cross-sectional study design. We derived data on 8,279 adults from the 2015 Medical Expenditure Panel Survey (MEPS). Study participants were adults (age > 21 years), with hypertension or CVDs and without intracranial injury, Parkinson, Alzheimer's disease and Related Dementia. Cognitive impairment was measured based on 1) confusion or memory loss; 2) problems making decisions, or 3) supervision for participant's safety. Anti-hypertensive medications were categorized into 1) beta-blockers; 2) other anti-hypertensives; and 3) no antihypertensive medication. We used multivariable survey logistic regressions to examine the association between beta-blockers and cognitive impairment after controlling for biological factors, pain, chronic conditions, socioeconomic status, access to healthcare services, behavioral, socio-cultural and external environmental factors. RESULTS: Overall, 24.2%, 41.9%, and 33.9% reported using beta-blockers, other antihypertensives, and no antihypertensive medications, respectively; 18.1% participants reported cognitive impairment. After controlling for pain, beta-blocker use was not significantly associated with cognitive impairment (AOR= 1.22, 95%CI= 1.00-1.49). In fully adjusted models, the AOR for beta-blockers use was 1.05 (95%CI = 0.84-1.31). CONCLUSION: In this first large cross-sectional study, we found that the use of beta-blockers was not associated with cognitive impairment. Future prospective studies that include pain management and blood pressure control are needed to confirm the findings.

Fibromyalgia, Sjogren's & depression: linked?

Health care has become increasingly fragmented, partly due to advancing medical technology. Patients are often managed by various specialty teams when presenting with symptoms that could be manifestations of different diseases. Approximately one third of them are referred to specialists, at over half for outpatient appointments. Fatigue, pain, depression, dry mouth, headaches, and arthralgia are common complaints and frequently require referral to specialist physicians. Differential diagnoses include fibromyalgia (FM), Sjogren's syndrome (SS), and depression. Evaluations involve various sub-specialist especially physicians like those practicing pain management, rheumatology, and psychiatry. Thresholds for referring vary. Patients sometime feel lost in a 'medical maze'. Disagreement is frequent between specialties regarding management. Each discipline has its own diagnostic and treatment protocols and there is little consensus about shared decision-making. Communication between doctors could improve continuity. There are many differences and similarities in the pathophysiology, symptomatology, diagnosis, and treatment of fibromyalgia, Sjogren's syndrome, and depression. Understanding the associations between fibromyalgia, Sjogren's syndrome and depression should improve clinical outcome via a common holistic approach.

Clinical and Diagnostic Considerations for Atypical, Adult Onset Presentation of Chronic Recurrent Multifocal Osteomyelitis (CRMO).

Chronic recurrent multifocal osteomyelitis (CRMO) is the most severe form of chronic nonbacterial osteomyelitis (CNO) and is a rare autoinflammatory bone disorder that mostly affects children and adolescents. CRMO is a diagnosis of exclusion, resulting in often-delayed diagnosis with over one year on average from onset of symptoms to time of diagnosis. Initial diagnosis is rare in adults and previously undocumented in the elderly (age greater than 65). We highlight a case of a 74-year-old elderly Caucasian female with a history of palmoplantar pustular psoriasis who presented with pelvic and hip pain. Imaging findings included multiple bony lesions on x-rays, increased uptake in the left side of the pelvis, ileum, proximal sternum, and bilateral medial clavicles on nuclear bone scan. Bone biopsy histologic results of marrow fibrosis and plasma cell infiltrate indicative of chronic inflammation lead to the diagnosis of CRMO. This case highlights that while CRMO is typically a disease with childhood onset, it, while rare, can also present in adults and now has presented in the elderly, remaining an important part of the differential diagnosis of bone pain in adults and the elderly in addition to infectious osteomyelitis and malignancy when imaging reveals multiple bony lesions. This in turn will facilitate the reduction of unnecessary medical treatment and antibiotics.

Unusual presentation of listerial myocarditis and the diagnostic value of cardiac magnetic resonance.

Listeria monocytogenes is an infrequent cause of bacterial myocarditis. Myocarditis without evidence of endocarditis is even rarer. Management in such cases involves early diagnosis, antibiotic therapy, and emergency treatment of arrhythmias. We report the case of a 47-year-old man who presented with features of acute ST-segment-elevation myocardial infarction complicated by ventricular tachycardia that necessitated urgent electrical cardioversion. Contrast-enhanced cardiac magnetic resonance images revealed hypertrophy, necrosis, and a mass that was determined to be an abscess caused by L. monocytogenes. Antibiotic treatment led to resolution of the listerial myocarditis. In addition to reporting our patient's case, we discuss the comparative advantages of cardiac magnetic resonance versus transthoracic echocardiography in characterizing myocarditis, upon presentation and in follow-up evaluation.