Can adverse cardiac events of the COVID-19 vaccine exacerbate preexisting diseases?

INTRODUCTION

SARS-CoV-2 infection and COVID-19 vaccination can both lead to serious cardiac conditions such as myocarditis, arrhythmia, acute myocardial infarction, and coagulopathy. Further studies are needed to better understand the risks and benefits of COVID-19 vaccination, and to determine the best course of action for individuals with preexisting heart conditions.

AREAS COVERED

The current knowledge and challenges in understanding vaccine-associated heart issues concerning the COVID-19 pandemic are briefly summarized, highlighting similar cardiac conditions caused by either SARS-CoV-2 infection or COVID-19 vaccination and the potential clinical impacts.

EXPERT OPINION

The short-term risks of severe cardiovascular side effects following COVID-19 vaccination are relatively low. However, further studies are needed to determine whether adverse vaccination events outweigh the long-term benefits in specific groups of individuals. Since cardiac inflammation, blood pressure dysregulation, coagulopathy, acute myocardial infarction, or arrhythmia could be the consequences of either SARS-CoV-2 infection or COVID-19 vaccination, clinical questions should be asked whether the COVID-19 vaccine worsens the condition in persons with preexisting heart diseases. It is important to carefully assess the potential risks and benefits of COVID-19 vaccination, especially for individuals with preexisting heart conditions, and to continue monitoring and studying the long-term effects of vaccination on cardiovascular health.

Anesthesia Liability Related to Pre-existing Conditions

In 1985, the American Society of Anesthesiologists initiated a quality improvement closed claims analysis project for anesthetic injury to elevate patient safety. To date, there have been a total of 8954 documented claims, describing injuries contracted under sedation, regional anesthesia, or failure to attend to a patient's post-operative needs. The Closed Claims database reveals that the most highly documented health care complications were a loss of life at 2%, nerve injuries at 2%, and damage to the brain at 9%. The highest documented cases of damage from anesthesia involved regional-block-related events at 20%, followed by respiratory-related adverse effects at 17%, cardiovascular-related events at 13%, together with apparatus-linked events at 10%. Injury may result from several causes. First, multiple techniques and interventions are used during surgery, and all have potential adverse effects. Additionally, many patients scheduled for surgery have extensive past medical histories and medical comorbidities, thereby increasing their baseline risk for injury. From the Closed Claims database, improved evaluation of clinical-related implications linked to injuries within the handling of airway, sedation, non-operational room locales, obstetric anesthesia, along with chronic pain management. In summary, anesthesia departments should review outcomes of their patients on a routine basis. Assessing factors when an adverse outcome occurs may allow for changes in techniques or other anesthesia considerations to help lessen or prevent future complications.

Uptake of COVID-19 and influenza vaccines in relation to preexisting chronic conditions in the European countries

BACKGROUND

The suboptimal uptake of COVID-19 and influenza vaccines among those with non-communicable chronic diseases is a public health concern, because it poses a higher risk of severe illness for individuals with underlying health conditions, emphasizing the need to address barriers to vaccination and ensure adequate protection for this vulnerable population. In the present study, we aimed to identify whether people with chronic illnesses are more likely to get vaccinated against COVID-19 and influenza in the European Union.

METHODS

Cross-sectional data on 49,253 men (n = 20,569) and women (n = 28,684) were obtained from the ninth round of the Survey of Health, Ageing and Retirement in Europe (June - August, 2021). The outcome variables were self-reported COVID-19 and influenza vaccine uptake status. The association between the uptake of the vaccines and six preexisting conditions including high blood pressure, high blood cholesterol, chronic lung disease, diabetes, chronic bronchitis, and asthma was estimated using binary logistic regression methods.

RESULTS

The vaccination coverage for COVID-19 ranged from close to 100% in Denmark (98.2%) and Malta (98.2%) to less than 50% in Bulgaria (19.1%) and Romania (32.7%). The countries with the highest percentage of participants with the influenza vaccine included Malta (66.7%), Spain (63.7%) and the Netherlands (62.5%), and those with the lowest percentage included Bulgaria (3.7%), Slovakia (5.8%) and Poland (9.2%). Participants with high blood pressure were 3% less likely [Risk difference (RD) = -0.03, 95% CI = -0.04, -0.03] to report taking COVID-19 and influenza [RD = -0.03, 95% CI= -0.04, -0.01] vaccine. Those with chronic lung disease were 4% less likely [RD = -0.04, 95% CI= -0.06, -0.03] to report taking COVID-19 and 2% less likely [RD= -0.02, 95% CI = -0.04, -0.01] to report taking influenza vaccine. Men and women with high blood pressure were 3% less likely to have reported taking both of the vaccines.

CONCLUSIONS

Current findings indicate a suboptimal uptake of COVID-19 and influenza vaccines among adult men and women in the EU countries. Those with preexisting conditions, including high blood pressure and chronic lung disease are less likely to take the vaccines.

Pan-cancer analyses of the associations between 109 pre-existing conditions and cancer treatment patterns across 19 adult cancers

Comorbidities present considerable challenges to cancer treatment and care. However, little is known about the effect of comorbidity on cancer treatment decisions across a wide range of cancer types and treatment modalities. Harnessing a cohort of 280,543 patients spanning 19 site-specific cancers, we explored pan-cancer frequencies of 109 comorbidities. Multinomial logistic regression was used to analyse the relationship between comorbidities and cancer treatment types, while binomial logistic regression examined the association between comorbidities and chemotherapy drug types, adjusting for demographic and clinical factors. Patients with comorbidity exhibited lower odds of receiving chemotherapy and multimodality treatment. End-stage renal disease was significantly associated with a decreased odds of receiving chemotherapy and surgery. Patients with prostate cancer who have comorbid non-acute cystitis, obstructive and reflux uropathy, urolithiasis, or hypertension were less likely to receive chemotherapy. Among patients with breast cancer, dementia, left bundle branch block, peripheral arterial disease, epilepsy, Barrett's oesophagus, ischaemic stroke, unstable angina and asthma were associated with lower odds of receiving multimodal chemotherapy, radiotherapy and surgery. Comorbidity is also consistently associated with the lower odds of receiving chemotherapy when comparing across 10 drug classes. Patients with comorbid dementia, intracerebral haemorrhage, subarachnoid haemorrhage, oesophageal varices, liver fibrosis sclerosis and cirrhosis and secondary pulmonary hypertension were less likely to receive antimetabolites. Comorbidity can influence the effectiveness and tolerability of cancer treatment and ultimately, prognosis. Multi-specialty collaborative care is essential for the management of comorbidity during cancer treatment, including prophylactic measures to manage toxicities.

Habitual short sleepers with pre-existing medical conditions are at higher risk of Long COVID

STUDY OBJECTIVES

Preliminary evidence suggests that the risk of Long COVID is higher among people with pre-existing medical conditions. Based on its proven adjuvant role in immunity, habitual sleep duration may alter the risk of developing Long COVID. The objective of this study was to determine whether the odds of Long COVID are higher among those with pre-existing medical conditions, and whether the strength of this association varies by habitual sleep duration.

METHODS

Using data from 13,461 respondents from 16 countries who participated in the 2021 survey-based International COVID Sleep Study II (ICOSS II), we studied the associations between habitual sleep duration, pre-existing medical conditions, and Long COVID.

RESULTS

Of 2,508 individuals who had COVID-19, 61% reported at least 1 Long COVID symptom. Multivariable logistic regression analysis showed that the risk of having Long COVID was 1.8-fold higher for average-length sleepers (6-9 h/night) with pre-existing medical conditions compared with those without pre-existing medical conditions (adjusted odds ratio [aOR] 1.84 [1.18-2.90]; P = .008). The risk of Long COVID was 3-fold higher for short sleepers with pre-existing medical conditions (aOR 2.95 [1.04-8.4]; P = .043) and not significantly higher for long sleepers with pre-existing conditions (aOR 2.11 [0.93-4.77]; P = .073) compared with average-length sleepers without pre-existing conditions.

CONCLUSIONS

Habitual short nighttime sleep duration exacerbated the risk of Long COVID in individuals with pre-existing conditions. Restoring nighttime sleep to average duration represents a potentially modifiable behavioral factor to lower the odds of Long COVID for at-risk patients.

CITATION

Berezin L, Waseem R, Merikanto I, et al. Habitual short sleepers with pre-existing medical conditions are at higher risk of long COVID. J Clin Sleep Med. 2024;20(1):111-119.

Simulation of the mortality after different ex ante (secondary) and ex post (tertiary) triage methods in people with disabilities and pre-existing diseases

The significant increase in patients during the COVID-19 pandemic presented the healthcare system with a variety of challenges. The intensive care unit is one of the areas particularly affected in this context. Only through extensive infection control measures as well as an enormous logistical effort was it possible to treat all patients requiring intensive care in Germany even during peak phases of the pandemic, and to prevent triage even in regions with high patient pressure and simultaneously low capacities. Regarding pandemic preparedness, the German Parliament passed a law on triage that explicitly prohibits ex post (tertiary) triage. In ex post triage, patients who are already being treated are included in the triage decision and treatment capacities are allocated according to the individual likelihood of success. Legal, ethical, and social considerations for triage in pandemics can be found in the literature, but there is no quantitative assessment with respect to different patient groups in the intensive care unit. This study addressed this gap and applied a simulation-based evaluation of ex ante (primary) and ex post triage policies in consideration of survival probabilities, impairments, and pre-existing conditions. The results show that application of ex post triage based on survival probabilities leads to a reduction in mortality in the intensive care unit for all patient groups. In the scenario close to a real-world situation, considering different impaired and prediseased patient groups, a reduction in mortality of approximately 15% was already achieved by applying ex post triage on the first day. This mortality-reducing effect of ex post triage is further enhanced as the number of patients requiring intensive care increases.

Uncovering associations between pre-existing conditions and COVID-19 Severity: A polygenic risk score approach across three large biobanks

OBJECTIVE

To overcome the limitations associated with the collection and curation of COVID-19 outcome data in biobanks, this study proposes the use of polygenic risk scores (PRS) as reliable proxies of COVID-19 severity across three large biobanks: the Michigan Genomics Initiative (MGI), UK Biobank (UKB), and NIH All of Us. The goal is to identify associations between pre-existing conditions and COVID-19 severity.

METHODS

Drawing on a sample of more than 500,000 individuals from the three biobanks, we conducted a phenome-wide association study (PheWAS) to identify associations between a PRS for COVID-19 severity, derived from a genome-wide association study on COVID-19 hospitalization, and clinical pre-existing, pre-pandemic phenotypes. We performed cohort-specific PRS PheWAS and a subsequent fixed-effects meta-analysis.

RESULTS

The current study uncovered 23 pre-existing conditions significantly associated with the COVID-19 severity PRS in cohort-specific analyses, of which 21 were observed in the UKB cohort and two in the MGI cohort. The meta-analysis yielded 27 significant phenotypes predominantly related to obesity, metabolic disorders, and cardiovascular conditions. After adjusting for body mass index, several clinical phenotypes, such as hypercholesterolemia and gastrointestinal disorders, remained associated with an increased risk of hospitalization following COVID-19 infection.

CONCLUSION

By employing PRS as a proxy for COVID-19 severity, we corroborated known risk factors and identified novel associations between pre-existing clinical phenotypes and COVID-19 severity. Our study highlights the potential value of using PRS when actual outcome data may be limited or inadequate for robust analyses.

The use of heart rate variability in esports: A systematic review

Heart rate variability (HRV) is a psychophysiological measure of particular interest in esports due to its potential to monitor player self-regulation. This study aimed to systematically review the utilisation of HRV in esports. Consideration was given to the methodological and theoretical underpinnings of previous works to provide recommendations for future research. The protocol was made available on the Open Science Framework. Inclusion criteria were empirical studies, examining HRV in esports, using esports players, published in English. Exclusion criteria were non-peer-reviewed studies, populations with pre-existing clinical illness other than Internet Gaming Disorder (IGD), opinion pieces or review papers. In November 2022 a search of Web of Science, PubMed, and EBSCOHost identified seven studies using HRV in esports. Risk of bias was assessed using the Mixed Methods Appraisal Tool. Narrative review identified two primary uses of HRV in esports; stress response and IGD. A lack of theoretical and methodological underpinning was identified as a major limitation of current literature. Further investigation is necessary before making recommendations regarding the use of HRV in esports. Future research should employ sound theoretical underpinning such as the use of vagally mediated HRV and the robust application of supporting methodological guidelines when investigating HRV in esports.

Travel Medicine: Travelers With Preexisting Conditions

Certain conditions (eg, asthma, diabetes, physical disability, immunocompromise, severe allergies, pregnancy) may increase the risk of travel, but do not necessarily preclude it. Typical age-related physiologic changes also can increase the chances of serious injury or illness. For example, infection with malaria can result in more severe parasitemia in HIV-positive, pregnant, or older travelers. Physicians should evaluate each traveler as an individual, assessing risk tolerance and helping patients decide if the benefits outweigh the definite and potential costs. Extremes of climate and altitude, changes in time zones, and unfamiliar foodstuffs should be given particular attention. The well-prepared traveler should explore options for supplemental insurance, obtain necessary medical records and supplies (including their regular drugs and an appropriate first aid kit), receive education on how to recognize and what to do in the event of a medical emergency, and understand where to find high-quality care abroad.

Multifactorial White Matter Damage in the Acute Phase and Pre-Existing Conditions May Drive Cognitive Dysfunction after SARS-CoV-2 Infection: Neuropathology-Based Evidence

BACKGROUND

There is an urgent need to better understand the mechanisms underlying acute and long-term neurological symptoms after COVID-19. Neuropathological studies can contribute to a better understanding of some of these mechanisms.

METHODS

We conducted a detailed postmortem neuropathological analysis of 32 patients who died due to COVID-19 during 2020 and 2021 in Austria.

RESULTS

All cases showed diffuse white matter damage with a diffuse microglial activation of a variable severity, including one case of hemorrhagic leukoencephalopathy. Some cases revealed mild inflammatory changes, including olfactory neuritis (25%), nodular brainstem encephalitis (31%), and cranial nerve neuritis (6%), which were similar to those observed in non-COVID-19 severely ill patients. One previously immunosuppressed patient developed acute herpes simplex encephalitis. Acute vascular pathologies (acute infarcts 22%, vascular thrombosis 12%, diffuse hypoxic-ischemic brain damage 40%) and pre-existing small vessel diseases (34%) were frequent findings. Moreover, silent neurodegenerative pathologies in elderly persons were common (AD neuropathologic changes 32%, age-related neuronal and glial tau pathologies 22%, Lewy bodies 9%, argyrophilic grain disease 12.5%, TDP43 pathology 6%).

CONCLUSIONS

Our results support some previous neuropathological findings of apparently multifactorial and most likely indirect brain damage in the context of SARS-CoV-2 infection rather than virus-specific damage, and they are in line with the recent experimental data on SARS-CoV-2-related diffuse white matter damage, microglial activation, and cytokine release.

Critical windows of exposure to air pollution and gestational diabetes: assessing effect modification by maternal pre-existing conditions and environmental factors

BACKGROUND

Ambient air pollution has been associated with gestational diabetes (GD), but critical windows of exposure and whether maternal pre-existing conditions and other environmental factors modify the associations remains inconclusive.

METHODS

We conducted a retrospective cohort study of all singleton live birth that occurred between April 1^st 2006 and March 31^st 2018 in Ontario, Canada. Ambient air pollution data (i.e., fine particulate matter with a diameter ≤ 2.5 μm (PM_2.5), nitrogen dioxide (NO₂) and ozone (O₃)) were assigned to the study population in spatial resolution of approximately 1 km × 1 km. The Normalized Difference Vegetation Index (NDVI) and the Green View Index (GVI) were also used to characterize residential exposure to green space as well as the Active Living Environments (ALE) index to represent the active living friendliness. Multivariable Cox proportional hazards regression models were used to evaluate the associations.

RESULTS

Among 1,310,807 pregnant individuals, 68,860 incident cases of GD were identified. We found the strongest associations between PM_2.5 and GD in gestational weeks 7 to 18 (HR = 1.07 per IQR (2.7 µg/m³); 95% CI: 1.02 - 1.11)). For O₃, we found two sensitive windows of exposure, with increased risk in the preconception period (HR = 1.03 per IQR increase (7.0 ppb) (95% CI: 1.01 - 1.06)) as well as gestational weeks 9 to 28 (HR 1.08 per IQR (95% CI: 1.04 -1.12)). We found that women with asthma were more at risk of GD when exposed to increasing levels of O₃ (p- value for effect modification = 0.04). Exposure to air pollutants explained 20.1%, 1.4% and 4.6% of the associations between GVI, NDVI and ALE, respectively.

CONCLUSION

An increase of PM_2.5 exposure in early pregnancy and of O₃ exposure during late first trimester and over the second trimester of pregnancy were associated with gestational diabetes whereas exposure to green space may confer a protective effect.

Mental Health Impact of Early Stages of the COVID-19 Pandemic on Individuals with Pre-Existing Mental Disorders: A Systematic Review of Longitudinal Research

In view of disease-related threats, containment measures, and disrupted healthcare, individuals with pre-existing mental illness might be vulnerable to adverse effects of the COVID-19 pandemic. Previous reviews indicated increased mental distress, with limited information on peri-pandemic changes. In this systematic review, we aimed to identify longitudinal research investigating pre- to peri-pandemic and/or peri-pandemic changes of mental health in patients, focusing on the early phase and considering specific diagnoses. PsycINFO, Web of Science, the WHO Global literature on coronavirus disease database, and the Cochrane COVID-19 Study Register weresearched through 31 May 2021. Studies were synthesized using vote counting based on effect direction. We included 40 studies mostly from Western, high-income countries. Findings were heterogeneous, with improving and deteriorating mental health observed compared to pre-pandemic data, partly depending on underlying diagnoses. For peri-pandemic changes, evidence was limited, with some suggestion of recovery of mental distress. Study quality was heterogeneous; only few studies investigated potential moderators (e.g., chronicity of mental illness). Mental health effects on people with pre-existing conditions are heterogeneous within and across diagnoses for pre- to peri-pandemic and peri-pandemic comparisons. To improve mental health services amid future global crises, forthcoming research should understand medium- and long-term effects, controlling for containment measures.

Nanomaterial-induced toxicity in pathophysiological models representative of individuals with pre-existing medical conditions

The integration of nanomaterials (NMs) into an ever-expanding number of daily used products has proven to be highly desirable in numerous industries and applications. Unfortunately, the same "nano" specific physicochemical properties, which make these materials attractive, may also contribute to hazards for individuals exposed to these materials. In 2021, it was estimated that 7 out of 10 deaths globally were accredited to chronic diseases, such as chronic liver disease, asthma, and cardiovascular-related illnesses. Crucially, it is also understood that a significant proportion of global populace numbering in the billions are currently living with a range of chronic undiagnosed health conditions. Due to the significant number of individuals affected, it is important that people suffering from chronic disease also be considered and incorporated in NM hazard assessment strategies. This review examined and analyzed the literature that focused on NM-induced adverse health effects in models which are representative of individuals exhibiting pre-existing medical conditions with focus on the pulmonary, cardiovascular, hepatic, gastrointestinal, and central nervous systems. The overall objective of this review was to outline available data, highlighting the important role of pre-existing disease in NM-induced toxicity with the aim of establishing a weight of evidence approach to inform the public on the potential hazards posed by NMs in both healthy and compromised persons in general population.

Comorbidities in newly diagnosed epilepsy: Pre-existing health conditions are common and complex across age groups

OBJECTIVES

People with epilepsy have a higher prevalence of medical and psychiatric comorbidities compared to the general population. Comorbidities are associated with poor epilepsy outcomes, and there have been recommendations for screening and early identification to improve clinical management. Data from 'First Seizure Clinics' (FSCs) with expert epileptological review can inform about disorders already present at the point of diagnosis of epilepsy or unprovoked seizures. Here, we aimed to describe pre-existing conditions with a focus on psychiatric, substance use, cardiac, neurological, and cancer health domains.

METHODS

We included 1383 adults who received a new diagnosis of epilepsy or unprovoked seizures at Austin Hospital (AH) or Royal Melbourne Hospital (RMH) (Australia) FSCs from 2000 to 2010. Data were audited from FSC records, primarily detailed interviews undertaken by epileptologists. Logistic regression examined age distribution and other risk factors.

RESULTS

The median age at FSC presentation was 37 years (IQR 26-53, range 18-94). Pre-existing conditions were reported by 40 %; from 32 % in the youngest group (18-30 years) to 53 % in the oldest (65+ years). Psychiatric (18 %) and substance use (16 %) disorders were most common, with higher prevalence among patients 18 to 65 years of age compared to those older than 65 years (p < 0.001). Cardiac, neurological, or cancer conditions were reported by 3-6 %, most often amongst those older than 65 years (p < 0.01). Eight percent (n = 112) reported disorders in >1 health domain. The commonest combination was a psychiatric condition with substance use disorder. Of the sixty-two patients reporting this combination, 61 were ≤65 years of age.

CONCLUSIONS

Pre-existing health conditions are present in a substantial proportion of patients diagnosed with epilepsy or unprovoked seizures. Disorders are highest amongst elders, but one-third of younger adults also reported positive histories. These are predominantly psychiatric and/or substance use disorders, conditions strongly associated with poor outcomes in the general population. These findings inform post-diagnosis planning and management, as well as research examining post-diagnostic outcomes and associations between comorbidities and epilepsy.

Psychometric properties of The COVID-19 Fears Questionnaire for Chronic Medical Conditions in patients with pre-existing medical conditions

Fear of COVID-19 can have adverse mental health consequences in vulnerable patients with pre-existing conditions. We aimed to validate The COVID-19 Fears Questionnaire for Chronic Medical Conditions in Lithuania and to evaluate fears of COVID-19 in patients with pre-existing conditions. Between October and December, 2020, 371 respondents with pre-existing conditions completed an online survey including the 10-item COVID-19 Fears Questionnaire for Chronic Medical Conditions (COVID-19 fears), Patient Health Questionnaire-8 (PHQ-8; depressive symptoms), Generalised Anxiety Disorders-7 (GAD-7; anxiety symptoms) and Impact of Events Scale Revised (IES-R; posttraumatic stress symptoms). The majority of participants were women (84%) and from 41 to 60 years old (46%). The most common pre-existing conditions were respiratory diseases (33%) and diabetes (22%). Mean total score on the COVID-19 Fears Questionnaire was 24.89 ± 8.79. Exploratory factor analysis yielded one-factor solution with the Cronbach's coefficient alpha of 0.913. The highest rated COVID-19 fears were infection of close people, inability to receive treatment for COVID-19 and pre-existing condition and fear of severe complications because of the pre-existing condition. There was moderate to strong correlation of the 10-item COVID-19 Fears Questionnaire for Chronic Medical Conditions score with scores on the PHQ-8 (r = 0.371), GAD-7 (r = 0.358) and IES-R (r = 0.553; all p < 0.001). Test-retest reliability was adequate. The 10-item COVID-19 Fears Questionnaire for Chronic Medical Conditions has good psychometric properties in patients with pre-existing conditions and greater fear is associated with worse mental health. Consideration of COVID-19 fears is important for optimised care of patients with pre-existing during the pandemic.

Effects of Pre-Existing Mental Conditions on Fatigue and Psychological Symptoms Post-COVID-19

BACKGROUND

Patients who are post-COVID-19 will require more treatment soon. Therefore, it is important to understand the root cause of their psychological and somatic conditions. Previous studies showed contradictory results on the influence of pre-existing mental conditions. The present study examines the influence of these pre-existing conditions and their pre-treatment on the severity of post-COVID-19 symptoms.

METHODS

This analysis employs questionnaire data from a large study sample in Germany. Overall, 801 participants were included. All participants rated their health status on a scale from 0 to 100. Fatigue, depression, and anxiety were measured using the FAS, PHQ-9, and GAD-7 scales.

RESULTS

All pre-pandemic values showed no significant differences between the groups. The current health status was rated similarly by the recovered patients (μ = 80.5 ± 17.0) and the control group (μ = 81.2 ± 18.0) but significantly worse by acutely infected (μ = 59.0 ± 21.5) and post-COVID-19 patients (μ = 54.2 ± 21.1). Fatigue, depression, and anxiety were similar for recovered patients and the control group. By contrast, there were significant differences between the control and the post-COVID-19 groups concerning fatigue (45.9% vs. 93.1%), depression (19.3% vs. 53.8%), and anxiety (19.3% vs. 22.3%).

CONCLUSION

Fatigue and psychological conditions of post-COVID-19 patients are not associated with pre-existing conditions.

Preexisting Condition Protections Under the Affordable Care Act: Changes in Insurance Coverage, Premium Contributions, and Out-of-Pocket Spending

OBJECTIVES

In January 2014, the Affordable Care Act (ACA) preexisting condition protections prohibited coverage denials, premium increases, and claim denials on the basis of preexisting conditions. This study aimed to examine changes in coverage and premiums and out-of-pocket spending after the implementation of the preexisting condition protections under the ACA.

METHODS

We identified adults aged 18 to 64 years with (n = 59 041) and without preexisting conditions (n = 61 970) from the 2011-2013 and 2015-2017 Medical Expenditure Panel Survey. We used a difference-in-differences and a difference-in-difference-in-differences approach to assess the associations of preexisting condition protections and changes in insurance coverage, premium contributions, and out-of-pocket spending after the ACA. Simple and multivariable logistic or multivariable 2-part models were fitted for the full sample and stratified by family income (low ≤138% federal poverty level [FPL]; middle 139%-400% FPL; and high > 400 FPL).

RESULTS

The ACA increased nongroup insurance coverage to a similar extent for individuals with or without preexisting conditions at all income levels. Decreases in premium contributions were observed to a similar extent among families with nongroup private coverage regardless of declinable preexisting condition status, whereas no significant changes were observed among families with group coverage. We found greater decreases in out-of-pocket spending for individuals with preexisting conditions than those without conditions among both individuals covered by nongroup and group insurance, and a greater difference was observed among those covered by nongroup insurance (difference-in-difference-in-differences -$279; 95% confidence interval -$528 to -$29).

CONCLUSIONS

The ACA protections were associated with decreases in out-of-pocket spending among adults with preexisting conditions.

How Different Pre-existing Mental Disorders and Their Co-occurrence Affects COVID-19 Clinical Outcomes? A Real-World Data Study in the Southern United States

Background

Although a psychiatric history might be an independent risk factor for COVID-19 infection and mortality, no studies have systematically investigated how different clusters of pre-existing mental disorders may affect COVID-19 clinical outcomes or showed how the coexistence of mental disorder clusters is related to COVID-19 clinical outcomes.

Methods

Using a retrospective cohort study design, a total of 476,775 adult patients with lab-confirmed and probable COVID-19 between March 06, 2020 and April 14, 2021 in South Carolina, United States were included in the current study. The electronic health record data of COVID-19 patients were linked to all payer-based claims data through the SC Revenue and Fiscal Affairs Office. Pre-existing mental disorder diagnoses from Jan 2, 2019 to Jan 14, 2021 were extracted from the patients' healthcare utilization data via ICD-10 codes.

Results

There is an elevated risk of COVID-19-related hospitalization and death among participants with pre-existing mental disorders adjusting for key socio-demographic and comorbidity covariates. Co-occurrence of any two clusters was positively associated with COVID-19-related hospitalization and death. The odds ratio of being hospitalized was 1.26 (95% CI: 1.151, 1.383) for patients with internalizing and externalizing disorders, 1.65 (95% CI: 1.298, 2.092) for internalizing and thought disorders, 1.76 (95% CI: 1.217, 2.542) for externalizing and thought disorders, and 1.64 (95% CI: 1.274, 2.118) for three clusters of mental disorders.

Conclusions

Pre-existing internalizing disorders and thought disorders are positively related to COVID-19 hospitalization and death. Co-occurrence of any two clusters of mental disorders have elevated risk of COVID-19-related hospitalization and death compared to those with a single cluster.

Nanoparticle personalized biomolecular corona: implications of pre-existing conditions for immunomodulation and cancer

Nanoparticles (NPs) have demonstrated great promise as immunotherapies for applications ranging from cancer, autoimmunity, and infectious disease. Upon encountering biological fluids, NPs rapidly adsorb biomolecules, forming the "biomolecular corona" (BC), and the altered character of NPs due to their newly acquired biological identity can impact their in vivo fate. Recently, it has been shown that the NP-BC is person-specific, and even minute differences in the biomolecule composition can give rise to altered immune recognition, cellular interactions, pharmacokinetics, and biodistribution. Given the current rise in the development of NP-based therapeutics, it is of utmost importance to better understand how pre-existing conditions, that result in the formation of a personalized BC, can be leveraged to aid in the prediction of the therapeutic outcomes of NPs. In this minireview, we will discuss the formation of the BC, implications of the BC for NP-biological interactions, and its clinical importance in the context of immunomodulation and cancer therapeutics.

Access to health care and mental health-Evidence from the ACA preexisting conditions provision

This study evaluates the impact of the Affordable Care Act (ACA) preexisting conditions provision on mental health. The 2014 policy ensured individuals with preexisting health conditions the right to obtain insurance coverage. Using longitudinal data from the Panel Study of Income Dynamics between 2007 and 2017 and estimating difference-in-differences models, our study provides evidence that the policy reduced severe mental distress by 1.44 percentage points (baseline mean: 8.09%) among individuals with preexisting physical health conditions. Exploiting pre-ACA, state-level variation in policies providing insurance coverage options to people with preexisting conditions, we find that this improvement in mental well-being is highly associated with the presence of high-risk pools before 2014, which provided individuals with prior health conditions access to coverage. Specifically, we show that our main results are driven by individuals with preexisting health conditions living in the 16 states that did not have high-risk pools. Furthermore, gender-specific analysis shows that the reduction in mental distress is primarily observable among women. When examining potential mechanisms, our analysis provides evidence that increases in insurance coverage, reductions in healthcare expenditures, and improvements in physical health can explain the positive effects of the provision on mental well-being.

Older adults with pre-existing noncommunicable conditions and their healthcare access amid COVID-19 pandemic: a cross-sectional study in eastern Nepal

BACKGROUND

COVID-19 has greatly impacted older adults with pre-existing noncommunicable conditions (hereafter called pre-existing conditions) in terms of their access to essential healthcare services. Based on the theory of vertical health equity, this study investigated access to healthcare by Nepali older adults with pre-existing conditions during the COVID-19 pandemic.

METHODS

A cross-sectional study surveyed 847 randomly selected older adults (≥60 years) in three districts of eastern Nepal. Survey questionnaires, administered by trained community health workers, collected information on participants reported difficulty obtaining routine care and medications during the pandemic, in addition to questions on demographics, socioeconomic factors and pre-existing conditions. Cumulative scores for pre-existing conditions were recoded as no pre-existing condition, single condition and multimorbidity for the analyses. χ² tests and binary logistic regressions determined inferences.

RESULTS

Nearly two-thirds of the participants had a pre-existing condition (43.8% single condition and 22.8% multimorbid) and reported experiencing difficulty obtaining routine care (52.8%) and medications (13.5%). Participants with single (OR 3.06, 95% CI 2.17 to 4.32) and multimorbid (OR 5.62, 95% CI 3.63 to 8.71) conditions had threefold and fivefold increased odds of experiencing difficulty accessing routine care. Findings were similar for difficulty obtaining medication (OR single: 3.12, 95% CI 1.71 to 5.69; OR multimorbid: 3.98, 95% CI 2.01 to 7.87) where odds were greater than threefolds.

CONCLUSIONS

Older adults with pre-existing conditions in Nepal, who require routine medical care and medication, faced significant difficulties obtaining them during the pandemic, which may lead to deterioration in their pre-existing conditions. Public health emergency preparedness should incorporate plans for both managing the emergency and providing continuing care.

Prevalence of Pre-existing Conditions Relevant for Adverse Events and Potential Drug-Drug Interactions Associated with Augmentation Therapies Among Patients with Treatment-Resistant Depression

INTRODUCTION

Pre-existing conditions relevant for adverse events (AE) and the potential for drug-drug interactions (DDIs) may limit safe pharmacotherapeutic augmentation options for patients with major depressive disorder (MDD). This concern may be heightened among patients with treatment-resistant depression (TRD), who often have comorbid medical disorders.

METHODS

Adults with MDD and ≥ 1 antidepressant claim within the first observed major depressive episode were identified in the MarketScan® Databases. Those initiating a new regimen after two regimens at adequate dose and duration were considered to have TRD. The index date was defined at TRD onset or on a random antidepressant claim among patients with non-TRD MDD. Pre-existing conditions 12 months pre-index and potential DDIs 3 months pre/post-index associated with specific non-antidepressant augmentation therapies, including atypical antipsychotics (APs), buspirone, psychostimulants, anticonvulsants, thyroid hormone, and lithium were compared between 1:1 matched TRD and non-TRD MDD cohorts.

RESULTS

Overall, 3414 patients with TRD and non-TRD MDD (mean age 39.7 years, 69% female) were matched. Relative to non-TRD MDD, patients with TRD had 33% higher likelihood of ≥ 1 pre-existing condition relevant for AEs listed in product labels of non-antidepressant augmentation therapies (p < 0.001). Patients with TRD vs. non-TRD MDD had 12.9 and 6.4 times higher likelihood of ≥ 2 and ≥ 3 DDIs, respectively, based on their medication regimen (all p < 0.001).

CONCLUSION

Pre-existing conditions relevant for listed AEs and potential DDIs limit safe augmentation options in MDD, particularly among patients with TRD. Payer prior authorization policies requiring several augmentation therapy trials to access novel treatments may complicate clinical management of this population.

Pre-existing health conditions and severe COVID-19 outcomes: an umbrella review approach and meta-analysis of global evidence

BACKGROUND

This study applies an umbrella review approach to summarise the global evidence on the risk of severe COVID-19 outcomes in patients with pre-existing health conditions.

METHODS

Systematic reviews (SRs) were identified in PubMed, Embase/Medline and seven pre-print servers until December 11, 2020. Due to the absence of age-adjusted risk effects stratified by geographical regions, a re-analysis of the evidence was conducted. Primary studies were extracted from SRs and evaluated for inclusion in the re-analysis. Studies were included if they reported risk estimates (odds ratio (OR), hazard ratio (HR), relative risk (RR)) for hospitalisation, intensive care unit admission, intubation or death. Estimated associations were extracted from the primary studies for reported pre-existing conditions. Meta-analyses were performed stratified for each outcome by regions of the World Health Organization. The evidence certainty was assessed using GRADE. Registration number CRD42020215846.

RESULTS

In total, 160 primary studies from 120 SRs contributed 464 estimates for 42 pre-existing conditions. Most studies were conducted in North America, European, and Western Pacific regions. Evidence from Africa, South/Latin America, and the Eastern Mediterranean region was scarce. No evidence was available from the South-East Asia region. Diabetes (HR range 1.2-2.0 (CI range 1.1-2.8)), obesity (OR range 1.5-1.75 (CI range 1.1-2.3)), heart failure (HR range 1.3-3.3 (CI range 0.9-8.2)), COPD (HR range 1.12-2.2 (CI range 1.1-3.2)) and dementia (HR range 1.4-7.7 (CI range 1.2-39.6)) were associated with fatal COVID-19 in different regions, although the estimates varied. Evidence from Europe and North America showed that liver cirrhosis (OR range 3.2-5.9 (CI range 0.9-27.7)) and active cancer (OR range 1.6-4.7 (CI range 0.5-14.9)) were also associated with increased risk of death. Association between HIV and undesirable COVID-19 outcomes showed regional heterogeneity, with an increased risk of death in Africa (HR 1.7 (CI 1.3-2.2)). GRADE certainty was moderate to high for most associations.

CONCLUSION

Risk of undesirable COVID-19 health outcomes is consistently increased in certain patient subgroups across geographical regions, showing high variability in others. The results can be used to inform COVID-19 vaccine prioritisation or other intervention strategies.

Risk of Immune-related Adverse Events in Melanoma Patients With Preexisting Autoimmune Disease Treated With Immune Checkpoint Inhibitors: A Population-based Study Using SEER-Medicare Data

OBJECTIVE

The objective of this study was to examine the risk of immune-related adverse events (irAEs) in patients with a preexisting autoimmune disease (pAID) presenting with a cutaneous melanoma receiving an immune checkpoint inhibitor (ICI) therapy.

METHODS

Data from the Surveillance, Epidemiology, and End Results cancer registries and linked Medicare claims between January 2010 and December 2015 was used to identify patients diagnosed with cutaneous melanoma who had pAID or received ICI or both. Patients were then stratified into 3 groups: ICI+pAID, non-ICI+pAID, and ICI+non-pAID. Inverse probability of treatment weighted Cox proportional hazards regression models were fitted to assess the risk of cardiac, pulmonary, endocrine, and neurological irAE.

RESULTS

In total, 3704 individuals were included in the analysis. The majority of patients consisted of non-ICI+pAID patients (N=2706/73.1%), while 106 (2.9%) patients and 892 (24.1%) were classified as ICI+pAID and ICI+non-pAID, respectively. The risk of irAE was higher in the ICI+pAID group compared with the non-ICI+pAID and ICI+non-pAID, respectively (non-ICI: cardiac: hazard ratio [HR]=3.59, 95% confidence interval [CI]: 2.83-4.55; pulmonary: HR=3.94, 95% CI: 3.23-4.81; endocrine: HR=1.72, 95% CI: 1.53-1.93; neurological: HR=3.88, 95% CI: 2.30-6.57/non-pAID: cardiac: HR=3.83, 95% CI: 3.39-4.32; pulmonary: HR=2.08, 95% CI: 1.87-2.32; endocrine: HR=1.23, 95% CI: 1.14-1.32; neurological: HR=3.77, 95% CI: 2.75-5.18).

CONCLUSIONS

Patients with a pAID face a significantly higher risk of irAEs. Further research examining the clinical impact of these events on the patients' oncological outcome and quality of life is urgently needed given our findings of significantly worse rates of adverse events.

Knowledge and perceptions of COVID-19, prevalence of pre-existing conditions and access to essential resources in Somali IDP camps: a cross-sectional study

OBJECTIVES

This study examined knowledge and perceptions of COVID-19, prevalence of pre-existing conditions and access to essential resources among residents of internally displaced person (IDP) camps in Somalia, where overcrowded settlements with weakened infrastructure, inadequate water, sanitation, and hygiene facilities, and limited access to health services make this vulnerable population particularly susceptible to a COVID-19 outbreak.

DESIGN

A descriptive, cross-sectional survey.

SETTING

Twelve IDP camps across six areas of the Lower Shabelle region in Somalia.

PARTICIPANTS

401 adult Somali IDP camp residents.

RESULTS

The majority of participants were female (86%) and had received no formal education (89%). While 58% reported being in 'good' health, half of the participants reported having one or more pre-existing conditions. Though 77% of respondents reported taking at least one COVID-19 preventative public health measure, respondents reported a lack of access to adequate sanitation, an inability to practice social distancing and nearly universal inability to receive a COVID-19 screening exam. Questions assessing knowledge surrounding COVID-19 prevention and treatment yielded answers of 'I don't know' for roughly 50% of responses. The majority of participants were not familiar with basic information about the virus or confident that they could receive medical services if infected. 185 (47%) respondents indicated that camp living conditions needed to change to prevent the spread of COVID-19.

CONCLUSION

This study highlights low levels of COVID-19 knowledge and limited access to essential prevention and treatment resources among individuals living in Somali IDP camps. A massive influx of additional resources is required to adequately address COVID-19 in Somalia, starting with codesigning interventions to educate those individuals most vulnerable to infection.

Cognitive decline among older adults: A hidden preexisting condition and its role in 'brain-at-risk' surgical patients

Preexisting cognitive impairment is an important, but underrecognized, predictor of postoperative neurocognitive dysfunction, a common and important sequela of surgery. We have applied computerized neuropsychological testing as an efficient and reliable means of detecting preexisting cognitive impairment in two studies of cardiac and noncardiac surgical populations and propose that this tool has great potential in routine clinical diagnosis.

Preexisting Conditions That Kill Us

To protect human life, science and public health need to guide public policy. We call for an end to the anti-science, anti-prevention, and anti-regulatory policies that have resulted in countless preexisting conditions and deaths. Reactive responses are not a substitute for primary prevention; we must invest in environmental and public health protections.

Exacerbation of neurological symptoms and COVID-19 severity in patients with preexisting neurological disorders and COVID-19: A systematic review

BACKGROUND

Patients with chronic diseases likely develop severe 2019 coronavirus disease (COVID-19). However, little is known about the effects of COVID-19 on patients with neurological disorders. We conducted a systematic review to evaluate the severity of COVID-19 and its effect on neurological symptoms in patients with preexisting neurological disorder and COVID-19.

METHODS

We searched the MEDLINE (PubMed) and medRxiv databases for reports of patients with both preexisting neurological disorders and COVID-19. Studies reporting data on changes in the symptoms of preexisting neurological disorders and/or the severity of COVID-19 were included.

RESULTS

Twenty-six articles with 2278 patients with preexisting neurological disorder and COVID-19 were identified. Of 232 patients, 74 (31.9 %) showed exacerbation of preexisting neurological symptoms of dementia (55/92; 59.5 %), Parkinson's disease (10/17; 58.8 %), epilepsy (1/1; 100 %), and unspecified neurological disorders (8/106; 7.5 %). Of 2168 patients, 478 (22.0 %) showed severe COVID-19 course. These included patients with cerebrovascular disease (86/445; 19.3 %), dementia (70/316; 22.2 %), Parkinson's disease (25/214; 11.7 %), multiple sclerosis (28/71; 39.4 %), spinal cord injury (5/7; 71.4 %), epilepsy (10/98; 10.2 %) and unspecified neurological disorders (254/1011; 25 %).

CONCLUSIONS

Patients with preexisting neurological disorders and COVID-19 may develop exacerbation of neurological symptoms and severe COVID-19. Clinicians should be aware of the risk of symptom exacerbation and severe COVID-19 in patients with preexisting neurological disease and should focus on the prevention and early care of COVID-19.

Risk conditions in children hospitalized with influenza in Norway, 2017-2019

BACKGROUND

Norwegian children are more frequently hospitalized with influenza than adults. Little is known about the characteristics of these children. Our aim was to investigate the presence of pre-existing risk conditions and to determine the duration of influenza hospitalizations in children during two influenza seasons.

METHODS

The Norwegian Patient Registry holds data on all hospitalized patients in Norway. We included all patients younger than 18 years hospitalized with a diagnosis of influenza during the influenza seasons 2017-18 and 2018-19. Pre-existing risk conditions for influenza were identified by ICD-10 diagnoses in the Norwegian Patient Registry. In addition, information on asthma diagnoses were also retrieved from the Norwegian Registry for Primary Health Care. To estimate the prevalence of risk conditions in the child population, we obtained diagnoses on all Norwegian children in a two-year period prior to each influenza season. We calculated age-specific rates for hospitalization and risk for being hospitalized with influenza in children with risk conditions.

RESULTS

In total, 1013 children were hospitalized with influenza during the two influenza seasons. Children younger than 6 months had the highest rate of hospitalization, accounting for 13.5% of all admissions (137 children). Hospitalization rates decreased with increasing age. Among children hospitalized with influenza, 25% had one or more pre-existing risk conditions for severe influenza, compared to 5% in the general population under 18 years. Having one or more risk conditions significantly increased the risk of hospitalization, (Odds Ratio (OR) 6.1, 95% confidence interval (CI) 5.0-7.4 in the 2017-18 season, and OR 6.8, 95% CI 5.4-8.4 in the 2018-19 season). Immunocompromised children and children with epilepsy had the highest risk of hospitalization with influenza, followed by children with heart disease and lung disease. The average length of stay in hospital were 4.6 days, and this did not differ with age.

CONCLUSION

Children with pre-existing risk conditions for influenza had a higher risk of hospitalization for influenza. However, most children (75%) admitted to hospital with influenza in Norway during 2017-2019 did not have pre-existing risk conditions. Influenza vaccination should be promoted in particular for children with risk conditions and pregnant women to protect new-borns.

Pre-existing Depression among Newly Diagnosed Dyslipidemia Patients and Cardiovascular Disease Risk

BACKGROUND

Whether depression before diagnosis of dyslipidemia is associated with higher cardiovascular disease (CVD) risk among newly diagnosed dyslipidemia patients is yet unclear.

METHODS

The study population consisted of 72,235 newly diagnosed dyslipidemia patients during 2003 to 2012 from the National Health Insurance Service-Health Screening Cohort of South Korea. Newly diagnosed dyslipidemia patients were then detected for pre-existing depression within 3 years before dyslipidemia diagnosis. Starting from 2 years after the diagnosis date, patients were followed up for CVD until 2015. Adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) for CVD were calculated by Cox proportional hazards regression.

RESULTS

Compared to dyslipidemia patients without depression, those with depression had higher risk for CVD (aHR, 1.24; 95% CI, 1.09 to 1.41). Similarly, pre-existing depression was associated with increased risk for stroke (aHR, 1.27; 95% CI, 1.06 to 1.53). The risk for CVD among depressed dyslipidemia patients for high (aHR, 1.42; 95% CI, 1.06 to 1.90), medium (aHR, 1.17; 95% CI, 0.91 to 1.52), and low (aHR, 1.25; 95% CI, 1.05 to 1.50) statin compliance patients tended to be increased compared to patients without pre-existing dyslipidemia. The risk-elevating effect of depression on CVD tended to be preserved regardless of subgroups of smoking, alcohol consumption, physical activity, and body mass index.

CONCLUSION

Dyslipidemia patients with pre-existing depression had increased risk for CVD. Future studies that determine CVD risk after management of depression among dyslipidemia patients are needed.

Adverse events in Chinese human immunodeficiency virus (HIV) patients receiving first line antiretroviral therapy

BACKGROUND

Although the global human immunodeficiency virus (HIV) epidemic has improved significantly due to antiretroviral treatment (ART), ART-related adverse events (AEs) remain an issue. Therefore, investigating the factors associated with ART-related AEs may provide vital information for monitoring risks.

METHODS

A prospective cohort study was conducted among adult patients (aged 18 years or older) with HIV who received Tenofovir (TDF) + Lamivudine (3TC) + Efavirenz (EFV) as first-line ART regimens. All AEs during the first 12 months of therapy were recorded. Logistic regression analysis was used to identify variables associated with AEs.

RESULTS

Four hundred seventy-four patients receiving TDF+ 3TC+ EFV ART regimens between March 2017 and October 2017 were included in the study analysis. Among them, 472 (99.6%) experienced at least one AE, 436 (92.0%) patients experienced at least one AE within 1 month of treatment, 33 (7.0%) between one and 3 months of treatment, and three (0.6%) patients after 3 months of treatment. The most commonly reported AE was nervous system (95.6%) related, followed by dyslipidemia (79.3%), and impaired liver function (48.1%). Patients with baseline body mass index (BMI) greater than 24 kg/m2 (adjusted OR 1.77, 95%CI 1.03-3.02), pre-existing multiple AEs (adjusted OR 2.72, 95%CI 1.59-4.64), and pre-existing severe AEs (adjusted OR 5.58, 95%CI 2.65-11.73) were at increased odds of developing a severe AE. Patients with baseline BMI greater than 24 kg/m2 (adjusted OR 2.72, 95%CI 1.25-5.89) were more likely to develop multiple AEs.

CONCLUSION

The incidence of ART-related adverse events over a 12-month period in China was high. Baseline BMI greater than 24 kg/m2, pre-existing multiple AEs, and pre-existing severe AEs were shown to be independent risk factors for developing a severe AE.

Association between Sudden Sensorineural Hearing Loss and Preexisting Thyroid Diseases: A Nationwide Case-Control Study in Taiwan

Background: Little evidence is available about the risk of sudden sensorineural hearing loss (SSNHL) in patients with thyroid diseases. We assessed whether a diagnosis of thyroid disease, particularly hyperthyroidism or hypothyroidism, is associated with SSNHL risk in an Asian population. Material and Methods: This case-control study was conducted with population-based data from Taiwan’s National Health Insurance Research Database from January 2000 to December 2013. The case group comprised 3331 adult patients with newly diagnosed SSNHL, and four controls without SSNHL for each case matched by sex, age, monthly income, and urbanization level of residence. Underlying Thyroid diseases were retrospectively evaluated in the case and control groups. Multivariate logistic regression analyses were used to explore relations between thyroid diseases and SSNHL. Results: Of the 3331 cases, 5.7% had preexisting thyroid diseases, whereas only 4.0% of the 13,324 controls had the same condition. After adjustment for sex, age, monthly income, urbanization level of residence, history of hypertension, diabetes mellitus, chronic otitis media, and hyperlipidemia, associations were identified between a history of either hypothyroidism (adjusted odds ratio [AOR], 1.54; 95% CI, 1.02–2.32; p = 0.042) or hyperthyroidism (AOR, 1.41; 95% CI, 1.07–1.85; p = 0.015) and an elevated risk of SSNHL. In subgroup analysis, the correlation between hypothyroidism and increased SSNHL risk remained significant only for patients aged over 50 years (AOR, 1.61; 95% CI, 1.01–2.57; p = 0.045), and that between hyperthyroidism and SSNHL was significant only for female patients (AOR, 1.48; 95% CI, 1.09–2.01; p = 0.012). Treatment for hypothyroidism and hyperthyroidism did not alter the association in subgroup analyses. Conclusion: Preexisting hypothyroidism and hyperthyroidism appear associated with SSNHL susceptibility in Taiwan. Physicians should be wary of this elevated risk of SSNHL among patients with previously diagnosed thyroid dysfunction, especially women and patients aged more than 50 years.

Patient and Health Care Factors Associated With Long-term Diabetes Complications Among Adults With and Without Mental Health and Substance Use Disorders

IMPORTANCE

Among people with diabetes, co-occurring mental health (MH) or substance use (SU) disorders increase the risk of medical complications. Identifying how to effectively promote long-term medical benefits for at-risk populations, such as people with MH or SU disorders, is essential. Knowing more about how health care accessed before the onset of diabetes is associated with health benefits after the onset of diabetes could inform treatment planning and population health management.

OBJECTIVE

To analyze how preexisting MH or SU disorders and primary care utilization before a new diabetes diagnosis are associated with the long-term severity of diabetes complications.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study analyzed medical record data from US Department of Veterans Affairs health care systems nationwide and used mixed-effects regressions to test associations between prediabetes patient or health care factors and longitudinal progression of diabetes complication severity from 2006 to 2015. Participants included patients who received a new diabetes diagnosis in 2008 and who were aged 18 to 85 years at the time of their diagnosis. Data analysis was conducted from March to August 2017.

EXPOSURES

Patients were assigned to groups on the basis of a 2-year look-back period for MH or SU disorders status (MH disorder only, SU disorder only, MH and SU disorder, or no MH or SU disorder diagnoses) and on the basis of the amount of primary care utilization before diabetes was diagnosed.

MAIN OUTCOMES AND MEASURES

Nine-year trajectories of Diabetes Complication Severity Index (DCSI) scores.

RESULTS

Among 122 992 patients with newly diagnosed diabetes, the mean (SD) age was 62.3 (11.1) years, 118 810 (96.6%) were male, and 28 633 (23.3%) had preexisting MH or SU disorders diagnoses. From the onset of diabetes to 7 years later, patients' mean estimated DCSI scores increased from 0.84 (95% CI, 0.82-0.87) to 1.42 (95% CI, 1.36-1.47). Controlling for sociodemographic characteristics and medical comorbidities, SU disorders only (decrease in DCSI score, -0.09; 95% CI, -0.13 to -0.04; P < .001) or both MH and SU disorders (decrease in DCSI score, -0.13; 95% CI, -0.16 to -0.09; P < .001), but not MH disorders only, were associated with lower DCSI scores at the time of the onset of diabetes compared with no MH or SU disorders. More than 90% of patients with MH or SU disorders had primary care visits before diabetes was newly diagnosed, compared with approximately 58% of patients without MH or SU disorders. Patients who had primary care visits before the onset of diabetes had lower baseline DCSI scores, compared with patients who did not have primary care visits (decrease in DCSI score, -0.41 [95% CI, -0.43 to -0.39] for 1-2 visits, -0.50 [95% CI, -0.52 to -0.48] for 3-4 visits, -0.39 [95% CI, -0.41 to -0.37] for 5-8 visits, and -0.15 [95% CI, -0.17 to -0.12] for ≥9 visits; P < .001 for all). Patients with MH or SU disorders had lower overall, but more rapidly progressing, mean DCSI scores through year 7 after the onset of diabetes (MH disorder only, 0.006 [95% CI, 0.005-0.008], P < .001; SU disorder only, 0.005 [95% CI, 0.001-0.008], P = .004; or both MH and SU disorders, 0.008 [95% CI, 0.006-0.011], P < .001), compared with patients without MH or SU disorders.

CONCLUSIONS AND RELEVANCE

Access to and engagement in integrated health care may be associated with modest, albeit impermanent, long-term health benefits for patients with MH and/or SU disorders with newly diagnosed diabetes.

Preexisting chronic conditions for fatal outcome among SFTS patients: An observational Cohort Study

Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease that is caused by a novel bunyavirus SFTSV. Currently our knowledge of the host-related factors that influence the pathogenesis of disease is inadequate to allow prediction of fatal outcome. Here we conducted a prospective study of the largest database on the SFTS patients, to identify the presence of comorbidities in SFTS, and estimate their effect on the fatal outcome. Among 2096 patients eligible for inclusion, we identified nine kinds of comorbidities, from which hyperlipidemia (12.2%; 95% CI: 10.8%–13.6%), hypertension (11.0%; 95% CI: 9.6%–12.3%), chronic viral hepatitis (CVH) (9.3%; 95% CI: 8.1%–10.5%), and diabetes mellitus (DM) (6.8%; 95% CI: 5.7%–7.9%) were prevalent. Higher risk of death was found in patients with DM (adjusted OR = 2.304; 95% CI: 1.520–3.492; P<0.001), CVH (adjusted OR = 1.551; 95% CI: 1.053–2.285; P = 0.026) and chronic obstructive pulmonary diseases (COPD) (adjusted OR = 2.170; 95% CI: 1.215–3.872; P = 0.009) after adjusting for age, sex, delay from disease onset to admission and treatment regimens. When analyzing the comorbidities separately, we found that the high serum glucose could augment diseases severity. Compared to the group with max glucose < 7.0 mmol/L, patients with glucose between 7.0–11.1 mmol/L and glucose ≥11.1 mmol/L conferred higher death risk, with the adjusted OR to be 1.467 (95% CI: 1.081–1.989; P = 0.014) and 3.443 (95% CI: 2.427–4.884; P<0.001). Insulin therapy could effectively reduce the risk of severe outcome in DM patients with the adjusted OR 0.146 (95% CI: 0.058–0.365; P<0.001). For CVH patients, severe damage of liver and prolongation of blood coagulation time, as well as high prevalence of bleeding phenotype were observed. These data supported the provocative hypothesis that treating SFTS related complications can attain potentially beneficial effects on SFTS.

SFTS now brings about a substantial global public health concern. Preexisting chronic conditions were thought to increase risk of severe SFTSV infections, however with sparse data mining efforts. In this study, we quantified the frequency of chronic comorbidities in SFTS, estimated their contribution to disease severity, and separately evaluated the effect from diabetes mellitus and chronic viral hepatitis on resulting in fatal outcome.

Nobody Knew How Complicated: Constraining The President's Power To (Re)Shape Health Reform

Beginning on inauguration day, President Trump has attempted an executive repeal of the Affordable Care Act. In doing so, he has tested the limits of presidential power. He has challenged the force of institutional and non-institutional constraints. And, ironically, he has helped boost public support for the ACA's central features. The first two sections of this article respectively consider the use of the President's tools to advance and to subvert health reform. The final two sections consider the forces constraining the administration's attempted executive repeal. I argue that the most important institutional constraint, thus far, is found in multifaceted actions by states - and not only blue states. I also highlight the force of public voices. Personal stories, public opinion, and 2018 election results - bolstered by presidential messaging - reflect growing support for government-grounded options and statutory coverage protections. Indeed, in a polarized time, "refine and revise" seems poised to supplant "repeal and replace" as the conservative focus countering liberal pressure for a common option grounded in Medicare.

Why the politics will continue to favor protections for Americans with pre-existing conditions

Is it any wonder that Republican office holders are changing their tune regarding pre-existing conditions? Kaiser Family Foundation polling reports that overwhelming majorities say it is "very important" that the ACA's protections for people with pre-existing conditions (75%) remain. Even 58% of Republicans agree.

The Impact of Preexisting Chronic Kidney Disease on the Severity and Recovery of Acute Kidney Injury

BACKGROUND

Recent observational studies have shown that in chronic kidney disease (CKD) patients, a significantly smaller percentage of patients with an episode of acute kidney injury (AKI) have full recovery of renal function compared to those without CKD. However, precise mechanisms involved in the incomplete repair after AKI with preexisting CKD have not been completely ascertained. Here, we assessed the impact of preexisting CKD on the severity and recovery of AKI in a mouse model of 5/6 nephrectomy.

METHODS

Male CD-1 mice underwent 5/6 nephrectomy (Nx). Six weeks post surgery, ischemia reperfusion injury (IRI) or a sham operation was performed and functional, histological, and various molecular parameters were compared between them.

RESULTS

Serum creatinine level on day 1 after IRI was comparable between control and Nx mice. However, serum creatinine remained significantly higher throughout the recovery phase in Nx mice compared to control mice. mRNA and protein expression of the cell cycle regulatory proteins were persistently elevated in Nx mice and this was associated with significantly increased levels of the G1 cell cycle arrest markers. Treatment with a p53 inhibitor following IRI resulted in not only decreased expression of G1 arrest markers but also decreased fibrosis, suggesting that prolonged epithelial G1 cell cycle arrest might be partially responsible for impaired recovery from superimposed AKI on CKD.

CONCLUSION

Taken together, reduced nephron mass have a negative effect on the repair process that is partially mediated by the disruption of the cell cycle regulation.

Job mobility among parents of children with chronic health conditions: Early effects of the 2010 Affordable Care Act

We examine the effects of the 2010 Patient Protection and Affordable Care Act's (ACA) prohibition of preexisting conditions exclusions for children on job mobility among parents. We use a difference-in-difference approach, comparing pre-post policy changes in job mobility among privately-insured parents of children with chronic health conditions vs. privately-insured parents of healthy children. Data come from the 2004 and 2008 Survey of Income and Program Participation (SIPP). Among married fathers, the policy change is associated with about a 0.7 percentage point, or 35 percent increase, in the likelihood of leaving an employer voluntarily. We find no evidence that the policy change affected job mobility among married and unmarried mothers.

Pre-existing, incidental and hemorrhagic AVMs in pregnancy and postpartum: Gestational age, morbidity and mortality, management and risk to the fetus

OBJECTIVE

The objective of this article is to analyze the maternal and fetal outcomes of pregnancies that present with arteriovenous malformations (AVMs).

METHODS

A literature review was performed that analyzed 65 cases of AVM during pregnancy previously reported in English literature.

RESULTS

Sixty-five cases of pregnancy-associated AVM were identified. The patients' ages ranged from 16 to 45 years, with a mean of 28 ± 4.9 years. Sixteen cases (24.6%) were pre-existing AVMs. There were 54 cases (83.1%) of AVM ruptured during pregnancy and postpartum: Six cases (11.1%) were in the first trimester, 24 (44.4%) were in the second, 22 (40.7%) were in the third trimester and two (3.7%) were postpartum. Unfavorable maternal clinical outcome (modified Rankin Scale (mRS) ≥ 2) was identified in 20 cases (30.8%) and abortion occurred in 10 cases (15.4%). There were three maternal deaths, yielding a case mortality rate of 4.6%. Fifty-three fetuses were born via cesarean section in 42 cases and vaginal delivery in 10 cases; 48 were in good health, three were temporarily intubated, one was macrosomic and one died. In univariate analysis, AVM hemorrhage presentation was significantly associated with a poor maternal outcome (mRS ≥ 2) (p = 0.030); however, not significantly associated with fetus risk (p = 0.864). Gestational age was not significantly associated with poor maternal outcome (p = 0.875) or fetal risk (p = 0.790).

CONCLUSION

AVM hemorrhage presentation was significantly associated with poor maternal outcome. Pre-existing ruptured AVM may not be associated with fetal risk. Gestational age of AVM rupture was not significantly associated with poor maternal outcome or fetal risk.

Combining abdominal and cosmetic breast surgery does not increase short-term complication rates: a comparison of each individual procedure and pretreatment risk stratification tool

BACKGROUND

Combined abdominal and breast surgery presents a convenient and relatively cost-effective approach for accomplishing both procedures.

OBJECTIVES

This study is the largest to date assessing the safety of combined procedures, and it aims to develop a simple pretreatment risk stratification method for patients who desire a combined procedure.

METHODS

All women undergoing abdominoplasty, panniculectomy, augmentation mammaplasty, and/or mastopexy in the TOPS database were identified. Demographics and outcomes for combined procedures were compared to individual procedures using χ(2) and Student's t-tests. Multiple logistic regression provided adjusted odds ratios for the effect of a combined procedure on 30-day complications. Among combined procedures, a logistic regression model determined point values for pretreatment risk factors including diabetes (1 point), age over 53 (1), obesity (2), and 3+ ASA status (3), creating a 7-point pretreatment risk stratification tool.

RESULTS

A total of 58,756 cases met inclusion criteria. Complication rates among combined procedures (9.40%) were greater than those of aesthetic breast surgery (2.66%; P < .001) but did not significantly differ from abdominal procedures (9.75%; P = .530). Nearly 77% of combined cases were classified as low-risk (0 points total) with a 9.78% complication rates. Medium-risk patients (1 to 3 points) had a 16.63% complication rate, and high-risk (4 to 7 points) 38.46%.

CONCLUSIONS

Combining abdominal and breast procedures is safe in the majority of patients and does not increase 30-day complications rates. The risk stratification tool can continue to ensure favorable outcomes for patients who may desire a combined surgery.

LEVEL OF EVIDENCE

4 Risk.