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Objectives: Malnutrition is a prevalent condition affecting 30-50% of hospitalized patients. Malnutrition is linked to impairments in health outcomes and increased economic burden on healthcare systems. We assessed the prevalence and burden of malnutrition by examining demographic characteristics, Disease Related Group (DRG) payments and associated claims among Medicare inpatients (65+ years) with and without COVID-19. Method(s): Hospital inpatient COVID-19 claims from the Centers for Medicare & Medicaid Services (CMS) Inpatient Prospective Payment System (IPPS) between October 2020 - September 2021 were analyzed. The International Classification of Diseases, Tenth Revision, and Clinical Modification (ICD-10-CM) were used for malnutrition diagnoses. Demographic variables were compared based on the COVID-19 status;economic burden was analyzed by DRG payment of malnutrition cases with and without COVID-19. Result(s): Among 7,394,657 Medicare inpatient claims, only 12% had a documented malnutrition diagnosis. Of these patients, 1.2% had COVID-19. Regardless of COVID-19 status, malnourished patients averaged 75 years of age, and were predominantly female (54%) and White (78%) followed by Black (14%), and Hispanic (2%). Sepsis, kidney failure, and urinary tract infection (UTI) were the most common primary diagnoses in malnourished patients, regardless of COVID-19 status. Malnourished patients with COVID-19 had significantly higher DRG payments ($27,407 vs. $18,327) and increased cost of outlier payment ($3,208 vs. $2,049) compared to those without COVID-19, regardless of other diagnoses. Conclusion(s): Malnutrition diagnosis was confirmed in only 12% of the Medicare inpatients, thus suggesting that malnutrition continues to be underdiagnosed and undertreated - evidenced by high rates of hospitalizations/claims and payments in both COVID-19 and non-COVID-19 cases. It is imperative for hospitals to implement nutrition-focused protocols to identify, diagnose and address malnutrition among all Medicare inpatients regardless of COVID-19 status (and especially among patients with sepsis, kidney failure, and UTI). Nutrition-focused protocols can effectively improve patient health outcomes and reduce healthcare costs.Copyright © 2023
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The COVID-19 lockdown contributes to the improvement of air quality. Most previous studies have attributed this to the reduction of human activity while ignoring the meteorological changes, this may lead to an overestimation or underestimation of the impact of COVID-19 lockdown measures on air pollution levels. To investigate this issue, we propose an XGBoost-based model to predict the concentrations of PM2.5 and PM10 during the COVID-19 lockdown period in 2022, Shanghai, and thus explore the limits of anthropogenic emission on air pollution levels by comprehensively employing the meteorological factors and the concentrations of other air pollutants. Results demonstrate that actual observations of PM2.5 and PM10 during the COVID-19 lockdown period were reduced by 60.81% and 43.12% compared with the predicted values (regarded as the period without the lockdown measures). In addition, by comparing with the time series prediction results without considering meteorological factors, the actual observations of PM2.5 and PM10 during the lockdown period were reduced by 50.20% and 19.06%, respectively, against the predicted values during the non-lockdown period. The analysis results indicate that ignoring meteorological factors will underestimate the positive impact of COVID-19 lockdown measures on air quality. © 2023 by the authors.
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Objective To explore the potential common mechanism and active ingredients of Reduning Injection against SARS, MERS and COVID-19 through network pharmacology and molecular docking technology. Methods The TCMSP database was used to retrieve the chemical components and targets of Artemisiae Annuae Herba, Lonicerae Japonicae Flos and Gardeniae Fructus in Reduning Injection. The gene corresponding to the target was searched by UniProt database, and Cytoscape 3.8.2 was used to build a medicinal material-compound-target (gene) network. Three coronavirus-related targets were collected in the Gene Cards database with the key words of "SARS""MERS" and "COVID-19", and common target of three coronavirus infection diseases were screened out through Venny 2.1.0 database. The common targets of SARS, MERS and COVID-19 were intersected with the targets of Reduning Injection, and the common targets were selected as research targets. Protein-protein interaction (PPI) network map were constructed by Cytoscape3.8.2 software after importing the common targets into the STRING database to obtain data. R language was used to carry out GO biological function enrichment analysis and KEGG signaling pathway enrichment analysis, histograms and bubble charts were drew, and component-target-pathway network diagrams was constructed. The key compounds in the component-target-pathway network were selected for molecular docking with important target proteins, novel coronavirus (SARS-CoV-2) 3CL hydrolase, and angiotensin-converting enzyme II (ACE2). Results 31 active compounds and 207 corresponding targets were obtained from Reduning Injection. 2 453 SARS-related targets, 805 MERS-related targets, 2 571 COVID-19-related targets, and 786 targets for the three diseases. 11 common targets with Reduning Injection: HSPA5, CRP, MAPK1, HMOX1, TGFB1, HSP90AA1, TP53, DPP4, CXCL10, PLAT, PRKACA. GO function enrichment analysis revealed 995 biological processes (BP), 71 molecular functions (MF), and 31 cellular components (CC). KEGG pathway enrichment analysis screened 99 signal pathways (P < 0.05), mainly related to prostate cancer, fluid shear stress and atherosclerosis, hepatocellular carcinoma, proteoglycans in cancer, lipid and atherosclerosis, human T-cell leukemia virus 1 infection, MAPK signaling pathway, etc. The molecular docking results showed that the three core active flavonoids of quercetin, luteolin, and kaempferol in Reduning Injection had good affinity with key targets MAPK1, PRKACA, and HSP90AA1, and the combination of the three active compounds with SARS-CoV-2 3CL hydrolase and ACE2 was less than the recommended chemical drugs. Conclusion Reduning Injection has potential common effects on the three diseases of SARS, MERS and COVID-19. This effect may be related to those active compounds such as quercetin, luteolin, and kaempferol acting on targets such as MAPK1, PRKACA, HSP90AA1 to regulate multiple signal pathways and exert anti-virus, suppression of inflammatory storm, and regulation of immune function.Copyright © 2022 Drug Evaluation Research. All rights reserved.
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Severe pneumonia is a condition with a high risk of death and mandatory hospitalization in the intensive care unit. The incidence of severe pneumonia has increased dramatically during the pandemic of new coronavirus infection. Timely diagnosis and early initiation of adequate treatment of severe pneumonia are crucial for improving survival of critically ill patients. The aim of this review was to analyze published scientific research on molecular markers that allow to objectively assess the severity of pneumonia and to determine treatment tactics based on the predicted outcome upon admission to the hospital. A systematic search was conducted in the electronic databases PubMed, Medline, Web of Science for the period 2019 - 2022. Conclusion. The review focuses on the prognostic role of a number of markers of immune response, vascular transformation, as well as angiotensin II and angiotensin converting enzyme-2. Further prospective studies of potential predictors of severe pneumonia will enable using marker molecules in a comprehensive clinical and laboratory diagnosis for early prediction of the hospitalized patient's condition and expected outcome.Copyright © Volchkova E.V. et al., 2023.
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182 Figure 1Cardiovascular events in COVID-19 Survivors by LGE Status[Figure omitted. See PDF] 182 Figure 2All-cause mortality in COVID-19 Survivors by LGE Status[Figure omitted. See PDF]Conflict of InterestNone
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PM2.5 was continuously collected in Ho Chi Minh City (HCMC), Vietnam, during the period from September 2019 to August 2020, which included the period of socioeconomic suppression caused by restrictions imposed in the face of the coronavirus disease of 2019. The concentrations of PM2.5 mass, water-soluble ions (WSIs), organic carbon (OC), elemental carbon (EC), and water-soluble organic carbon (WSOC) were determined to evaluate the seasonal variations in PM2.5, the effect of socioeconomic suppression on PM2.5, and potential PM2.5 sources in HCMC. The PM2.5 mass concentration during the sampling period was 28.44 +/- 11.55 mu g m(-3) (average +/- standard deviation). OC, EC, and total WSIs accounted for 30.7 +/- 6.6%, 9.7 +/- 2.9%, and 24.9 +/- 6.6% of the PM2.5 mass, respectively. WSOC contributed 46.4 +/- 10.1% to OC mass. NO3-, SO42-, and NH4+ were the dominant species in WSIs (72.7 +/- 17.7% of the total WSIs' mass). The concentrations of PM2.5 mass and total WSIs during the rainy season were lower than those during the dry season, whereas the concentrations of carbonaceous species during the rainy season were higher. The concentrations of PM2.5 mass and chemical species during the socioeconomic suppression period significantly decreased by 45%-61% compared to the values before this period. The OC/EC ratio (3.28 +/- 0.61) and char-EC/soot-EC (4.88 +/- 2.72) suggested that biomass burning, coal combustion, vehicle emissions, cooking activities are major PM2.5 sources in HCMC. Furthermore, the results of a concentration-weighted trajectory analysis suggested that the geological sources of PM2.5 were in the local areas of HCMC and the northeast provinces of Vietnam (where coal-fired power plants are located).
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Objectives: Developing a control group of a clinical trial using real world data is desirable and ethically sound despite challenges pertaining to internal validity. To examine the internal validity, we reproduced the control group in a Randomized Controlled Trial (RCT) using Electric Health Record (EHR) data and evaluated the difference between the outcome of the original trial and that of the reproduced analysis. Method(s): We selected an RCT, REMDACTA trial, that was performed to evaluate the efficacy of tocilizumab plus remdesivir against placebo plus remdesivir in patients with severe COVID-19 pneumonia. We reproduced its control group (patients with severe COVID-19 pneumonia taking only remdesivir), using Japanese EHR data, Millennial Medical Record provided by Life Data Initiative. Target patients for the main analysis were those prescribed remdesivir within 2 days after admission and diagnosed with COVID-19 (defined by ICD-10 code, U07.1) and/or with COVID-19 pneumonia (defined by diagnosis name). Patients in the sub analysis included only those with COVID-19 pneumonia diagnosis. Among the target patients, those undergoing image inspection, oxygen administration, and not taking any medicines for pneumonia before the first remdesivir prescription were eligible for the analyses. Median length of stay was compared in the reproduced group and in REMDACTA trial. Result(s): The database included 676 and 110 target patients for the main and sub analyses, respectively. However, only 57 and 14 patients met the eligibility criteria for the main and sub analyses, respectively. The reduction in the number of patients is attributed to the criteria of image inspection and oxygen administration. Median length of stay in the reproduced group were 13 and 11 days in the main and sub analyses, respectively. In REMDACTA trial, 95% CI of median time was 11.0-16.0. Conclusion(s): We successfully reproduced the median time of the control group by EHR data.Copyright © 2023
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Objectives: The COVID-19 pandemic disrupted many facets of healthcare including patients delaying medical care for potentially life-threatening conditions. This study sought to compare specific key outcomes related to ischemic stroke that occurred before and during the COVID-19 pandemic. We assessed mortality rates, morbidity rates, and the administration of thrombolytics in patients with ischemic stroke admitted to emergency departments (ED) in the Stroke Belt, a region of the United States with historically worse stroke outcomes. Method(s): Cerner Real-World Data was used to identify patients residing in the Stroke Belt (Southeastern United States) who were admitted to the ED with ICD-10 codes indicating acute ischemic stroke. We determined in-hospital and 30-day mortality rates, morbidity rates (physical disability tracked 1-year post-ischemic stroke), and administration of thrombolytics for acute ischemic stroke patients before the COVID-19 pandemic (March 2019-February 2020) and during the pandemic (March 2020-February 2021). Result(s): In the defined period prior to COVID-19, 2,338 patients presented to the ED with ischemic strokes (49.5% male;mean age 64.8, SD:15.23;69.6% white). During COVID-19, 2,052 ischemic stroke patients presented to the ED (50.9% male;mean age 65.8, SD:15.04;71.5% white). Our analyses show a significant decrease in thrombolytic administration during the pandemic compared to before the pandemic (12.2% and 14.5%, respectively;p<0.05). There was no significant difference in rates of in-hospital mortality, 30-day mortality, or morbidity following ischemic strokes. Conclusion(s): The findings of our study suggest a reduction in ischemic stroke related ED encounters during the COVID-19 period, but no differences were observed in mortality and morbidity rates in ischemic stroke compared to before the pandemic. Future studies are required to determine if these trends were true in other regions of the United States, as well as to investigate other potential covariates linked to outcomes before and during the COVID-19 pandemic.Copyright © 2023
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Objectives: Post COVID-19 conditions or long COVID continues to burden the healthcare system. With the introduction of new code in October 2021 to appropriately capture this condition (U09.9), we have enough data to understand the detailed demographic and clinical characterization of the patients with long COVID. As this new clinical entity continues to evolve, our study will provide insights for care management and planning. Method(s): We conducted a retrospective cohort study from a large deidentified database of US health insurance claims. The study population included all individuals with at least one ICD-10 code for COVID (U07.1) between June 1, 2021, and November 30, 2022. Individuals with at least one ICD-10 code for long COVID (U09.9), at least 7 days after COVID diagnosis were termed "Long COVID" patients. Index date was defined as the first long COVID diagnosis date. We also assessed the most prevalent diagnosis codes within the 30 days pre- and post-index to understand top symptoms. Result(s): A cohort of 253,145 patients (62% female patients;38% male patients) were identified. Among this cohort, 3.2% were pediatric patients aged 0 - 17 years;73.3 % aged 18 - 64 years and 23.5 % aged 65+ years. Most prevalent symptoms that increased in the 30 day pre- and post-index: Nervous system symptoms (6 fold), fatigue (7 fold), Dyspnea (4.3 fold), esophagitis (1.6 fold) chronic kidney disease (1.3 fold) among others. Conclusion(s): Our findings indicate that long COVID is more prevalent in females, with fatigue and dyspnea emerging as top symptoms. These findings are consistent with the published literature. However, we uncovered additional symptoms such as nervous system symptoms, chronic kidney disease among others. Additional analysis is planned to evaluate the association of these symptoms with sociodemographic features to understand the health inequity aspects of long COVID.Copyright © 2023
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Objectives: This analysis was conducted to develop a comprehensive list of ICD-10 CM codes for underlying conditions identified by the CDC as being associated with high-risk of developing severe COVID-19 and assessed the consistency of these codes when applied to large US based datasets. Method(s): The comprehensive list of ICD 10-CM codes for CDC-defined high-risk underlying conditions were mapped from CDC references and FDA Sentinel code lists. These codes were subsequently applied to Optum's de-identified Clinformatics Data Mart Database (claims) and the Optum de-identified Electronic Health Record (EHR) database across 3 years (2018, 2019 and 2020) among continuously enrolled subjects >= 12 years of age to determine the performance and consistency in identifying these high-risk underlying conditions annually over these years. Result(s): A total of 10,276 ICD-10 codes were mapped to 21 underlying conditions. Within the claims data, 62.7% of subjects >= 12 years had >= 1 CDC-defined high-risk condition (excluding age) with 26.6% of patients >= 65 years while in the EHR data 38% had >= 1 high-risk underlying condition (excluding age) with 14.4% >= 65 years. These results were similar and consistent in both datasets across all years. Patients aged 12-64 years in the claims data had a higher rate of >=1 high risk underlying condition relative to the EHR data, 49.3% and 34%, respectively. The top 5 conditions among the >= 65 were identical across both databases: hypertension, immunocompromised status, heart conditions, diabetes (type 1 or 2), and overweight/obesity. The top 5 conditions among the 12-64 age group were also similar among the databases and included: immunocompromised status, hypertension, overweight/obesity, smoking (current or former), and mental health conditions. Conclusion(s): These findings present a comprehensive list of codes that can be used by researchers, clinicians and policy makers to identify and characterize patients that may be at high-risk for severe COVID-19 outcomes.Copyright © 2023
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Background: Stratified care aims at matching the intensity and setting of mental health interventions to the needs of help-seeking Young People. In Australia, a 5-tiered system of mental health services is in operation. To aid patient triage to the most appropriate tier, a Decision Support Tool (DST) has been developed and is being rolled out nationally Methods: We analysed outcome data pre-and post-enrolment of about 1500 Young People (aged 16-25) referred to a Youth Mental Health Service delivering medium- and high intensity psychological treatment programs (tiers 3 and 4). We compared outcomes in both tiers during three 12-month periods: (a) in the inaugural phase of tier 4, prior to service saturation and stringent triaging, and prior to the COVID-19 pandemic (2019);(b) during the COVID-19 pandemic when all services were delivered remotely over phone- and video facilities, and when DST triaging was introduced (2020);(c) following return of face-to-face consultations, in a situation of service saturation and stringent DST triaging (2021) Findings: About 22% of Young People in the tier 3 program experienced reliable improvement according to their Kessler-10 (K-10) scale ratings, regardless of changing circumstances. In contrast, 40% of people in the tier 4 program reliably improved during the inaugural phase When circumstances and service delivery changed (COVID-19 restrictions service saturation, DST triaging), the rate of reliable improvement halved to about 20% Conclusion(s): Access to higher intensity psychological programs improves treatment outcomes for help-seeking Young People. However high-intensity services are more sensitive to external and service factors than less intense treatment models.
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About 10 % of all symptomatic COVID-19 patients suffer from long-lasting health complaints. Fatigue, cognitive and emotional disorders are the most frequent neuropsychiatric symptoms. Evidence-based therapies for these post-covid impairments are still lacking. Here, we examined the feasibility of a newly developed group-therapy program for patients with fatigue, emotional and cognitive disorders following COVID-19. 24 patients with ICD-10 diagnosis of F06.8 and U0.09 participated in the group therapy on average 13 month after their acute COVID-19 infection. Before and after the group therapy they underwent a comprehensive clinical and neuropsychological assessment. The group therapy was held online and consisted of 8 weekly sessions with psychotherapeutic and psychoeducational elements regarding fatigue and pacing, mindfulness, psychiatric disorders, cognition as well as physical activity after COVID-19. Participation in the group was high with an average of 7.25 of 8 visited sessions. Mean overall group satisfaction was 7.78 out of 10 points. Patients improved in their self-reported fatigue, daily living skills, depression and subjective cognitive abilities as well as in their objective performance in neuropsychological tests of attention during the study time. The newly developed group therapy program for patients with fatigue and emotional and cognitive disorders following an infection with SARS-CoV-2 was well accepted and evaluated and is feasible in an online setting. Copyright © 2023. Thieme. All rights reserved.
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Objectives: Glycogen Storage Disease Type Ia (GSDIa) is a rare inherited disorder resulting in acute hypoglycemia due to impaired release of glucose from glycogen. Despite dietary management practices to prevent hypoglycemia in patients with GSDIa, complications still occur in children and throughout adulthood. This retrospective cohort study compared the prevalence of complications in adults and children with GSDIa. Method(s): Using ICD-10 diagnosis codes, the IQVIA Pharmetrics Plus database was searched for patients with >=2 GSDI claims (E74.01) from January 2016 through February 2020, with >=12 months continuous enrollment beginning prior to March 2019 (for one year of follow-up before COVID-19), and no inflammatory bowel disease diagnoses (indicative of GSDIb). Complication prevalence in adults and children with GSDIa was summarized descriptively. Result(s): In total, 557 patients with GSDIa were identified (adults, 67%;male, 63%), including 372 adults (median age, 41 years) and 185 children (median age, 7 years). Complications occurring only in adults were atherosclerotic heart disease (8.6%), pulmonary hypertension (3.0%), primary liver cancer (1.9%), dialysis (0.8%), and focal segmental glomerulosclerosis (0.3%). Other complications with the greatest prevalence in adults/children included gout (11.8%/0.5%), insomnia (10.0%/1.1%), osteoarthritis (22.0%/2.7%), severe chronic kidney disease (4.3%/0.5%), malignant neoplasm (10.8%/1.6%), hypertension (49.7%/8.7%), acute kidney failure (15.3%/2.7%), pancreatitis (3.0%/0.5%), gallstones (7.8%/1.6%), benign neoplasm (37.4%/8.1%), hepatocellular adenoma (7.0%/1.6%), neoplasm (41.1%/9.7%), and hyperlipidemia (45.2%/10.8%). Complications with the greatest prevalence in children/adults included poor growth (22.2%/1.9%), gastrostomy (29.7%/3.2%), kidney hypertrophy (2.7%/0.8%), seizure (1.6%/0.5%), hypoglycemia (27.0%/11.3%), hepatomegaly (28.7%/15.9%), kidney transplant (1.6%/1.1%), diarrhea (26.5%/18.6%), nausea and/or vomiting (43.8%/35.8%), acidosis (20.0%/17.2%), and anemia due to enzyme disorders (43.8%/40.6%). Conclusion(s): GSDIa is associated with numerous, potentially serious complications. Compared with children, adults with GSDIa had a greater prevalence of chronic complications, potentially indicating the progressive nature of disease. Children with GSDIa had more acute complications related to suboptimal metabolic control.Copyright © 2023
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Objectives: To estimate the reclassification of COVID-19 related ICD-10 codes from admission to discharge using Real-World Data (RWD) from the 2020 Mexican Ministry of Health (MoH) hospitals discharge dataset. Method(s): In this retrospective study, we analyzed all COVID-19 related discharges in the 2020 MoH open database, according to ten ICD-10 codes that the WHO associated with COVID-19. Reclassification was defined as those COVID-19 related cases who were discharged with a different ICD-10 code compared to their ICD-10 admission code. Result(s): From a total of 1,937,360 discharges reported in the MoH's 2020 database 63,740 (3.3%), mostly men (60.8%), with a median age of 56 years, were discharged with a COVID-19 related ICD-10 code and 12,945 of these were reclassified (20.3%). Although "2019-nCoV acute respiratory disease" (U071) had the greatest frequency of reclassified discharges (12,013, 22.3%), the "other coronavirus as the cause of diseases classified elsewhere" (B972) was associated with the greatest reclassification proportion (68, 74.7%) followed by "pneumonia case confirmed as due to COVID-19" (J128) (26.0%). Codes with lower percentages were "acute respiratory distress syndrome due to COVID-19" (J80X) and "acute respiratory failure due to COVID-19" (J960) with 6.3% and 3.8%, respectively. From 63,740 discharges, 50.7% were due to clinical improvement, followed by death (38.2%), transfer to another unit (5.2%) and voluntary discharge (3.3%). The J960 code had the highest mortality (67%) followed by codes J80X (59.7%) and U071 (35.5%). Conclusion(s): In our RWD analysis, we identified that 1 in 5 COVID-19 discharges were admitted with different diagnoses, highlighting the enormous challenges faced by the Mexican MoH during the global health crisis to establish an accurate COVID-19 diagnosis and coding. Given that this is the first reclassification analysis in Mexico, the conduction of future studies is essential to gain more insights on the consequences of reclassification at a health system level.Copyright © 2023
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Objective: To design an optimal formulation for quercetin and vitamin C nano-phytosome. Method(s): Nano-phytosomes are prepared by the thin layer hydration technique using a 2-level-5-factor design experimental. A total of 32 experimental formulas were used for data analysis. The ratio of quercetin: soy lecithin (X1), the ratio of quercetin: cholesterol (X2), stirring speed (X3), stirring temperature (X4), and stirring time (X5) were used as independent factors, while globule size as a dependent factor. Data analysis was carried out by Design Expert12 application. Characterization of the optimal formula included physicochemical evaluation, globule size analysis, zeta potential, polydispersity index, entrapment efficiency, Transition Electron Microscopy (TEM) analysis, and FTIR analysis. Result(s): The optimal formula consisted of quercetin: vitamin C: lecithin: cholesterol ratio of 1: 1: 1.046: 0.105 mol;stirring speed 763.986 rpm;stirring time of 59 min, at temperature 51.73 degreeC which produced 59.26 nm average globule size, PDI value 0.66;zeta potential value-35.93+/-0.95 mV and average SPAN value 0.61. This formulation showed entrapment efficiency of quercetin 91.69+/-0.18 % and vitamin C 90.82+/-0.13 %. The TEM and FITR analysis showed the morphological of the globules and interactions between the drugs, soy lecithin, and cholesterol to form nano-phytosomes. Conclusion(s): The conditions to obtain the optimal formula for quercetin vitamin C nano-phytosome consisted of quercetin: vitamin C: lecithin: cholesterol ratio of 1: 1: 1.046: 0.105 mol;stirring speed 763.986 rpm;stirring time of 59 min, and at temperature 51.73 degreeC.Copyright © 2023 The Authors.
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The study aims to determine the influencing factors and their impact levels on residential land prices. The research investigated 241 officials, real estate investors, appraisers, and real estate brokers on factors affecting residential land prices. Research results have shown 13 groups with 45 factors affecting the price of residential land. The impact rates of the factor groups range from 1.43% to 23.65%. The COVID-19 pandemic factor group has the strongest impact on land prices, followed by other factor groups, including upgrading administrative units;formulation and implementation of the planning;the real estate market;financial – economics;credit;real estate brokerage;infrastructure;location of the land parcel;particular factors;juridical factors;environment and social security. To harmonize the interests of the State, investors, and land users when valuing land, it is necessary to pay attention to the factors that strongly impact land prices first, and then the smaller ones. [ FROM AUTHOR] Copyright of Real Estate Management & Valuation is the property of Sciendo and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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Objectives: The symptoms of patients with post-acute COVID-19 syndrome are heterogenous, impact multiple systems, and are often non-specific. To better understand the symptomatic profile of this population, this study used real-world data and unsupervised machine learning techniques to identify distinct groupings of long COVID patients. Method(s): Children/adolescents (age 0-17) and adults (age 18-64 and >=65) with >=2 primary diagnoses for U09.9 "Post COVID-19 condition" from 10/01/2021 (ICD-10 code introduction) until 03/31/2022 were selected from Optum's de-identified Clinformatics Data Mart Database, with the first diagnosis deemed index. Included patients had >=1 diagnosis for COVID-19 at least 4 weeks before index and continuous enrollment during the 12 months prior to index. Diagnoses recorded +/-2 weeks from index that were not present prior to the initial COVID-19 diagnosis were captured and used as patient features for k-means clustering. Final cluster assignments were selected based on silhouette coefficient and clinical relevancy of groupings. Result(s): 3,587 patients met eligibility criteria, yielding three clusters. Concurrent symptom domains surrounding index included breathing, fatigue, pain, cognitive, and cardiovascular diagnoses. The first cluster (N=2,578, 71.8%) was characterized by patients with only a single symptom domain (33% breathing, 33% cardiovascular, 20% fatigue, 11% cognitive). The second cluster (N=651, 18.1%) all presented with breathing symptoms accompanied by one additional domain (cardiovascular 40%, fatigue 28%, pain 18%). The final cluster (N=358, 9.9%) experienced breathing symptoms accompanied by two additional domains (fatigue and cardiovascular 34%, cardiovascular and cognitive 34%). Cluster 3 was slightly older than clusters 1 or 2 (mean age 66 vs. 58 years, respectively). Conclusion(s): Unsupervised machine learning identified distinct groups of long COVID patients, which may help inform multidisciplinary care needs. Our analysis suggests that many patients with long COVID may experience symptoms from only a single domain, and multi-system illness may generally include breathing complications accompanied by fatigue and/or cardiovascular complications.Copyright © 2023
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Objectives: While persistent and relapsing symptoms of COVID-19 are increasingly documented, limited data exist on the post-acute population. The objective of this analysis is to identify the characteristics of patients diagnosed with long COVID using real-world data. Method(s): Children/adolescents (age 0-17) and adults (age 18-39, 40-64 and >=65) with >=2 primary diagnoses for U09.9 "Post COVID-19 condition" from 10/01/2021 (ICD-10 code introduction) until 03/31/2022 were selected from Optum's de-identified Clinformatics Data Mart Database, with the first diagnosis deemed index. Included patients had >=1 diagnosis for COVID-19 and continuous enrollment 12 months prior to index (baseline). To ensure alignment with most institutional definitions, >=4 weeks between initial COVID-19 infection and index was required. Diagnoses recorded +/-2 weeks from index that were not present prior to the initial COVID-19 diagnosis were summarized. Newly prescribed treatments and total medical costs were evaluated during the month following index (continuous enrollment required). Result(s): 3,587 patients met eligibility criteria (mean age 59.02, 57.56% female) with a median time from initial COVID-19 infection to long COVID diagnosis of 83 days (IQR: 46-201 days). The most common concurrent diagnoses included breathing complications such as dyspnea (20.38%) and respiratory failure (15.23%);malaise and fatigue (15.31%);symptoms related to cognitive functioning/anxiety (11.35%);and chest pain (7.67%). Children/adolescents had the highest prevalence of chest pain, while patients >=65 years of age had the highest prevalence of issues with coordination. The average total medical cost during the month following long COVID diagnosis was $4,267 (SD $14,662), with common prescriptions including albuterol (4.42%), prednisone (3.51%), and methylprednisolone (2.01%). Conclusion(s): This retrospective analysis confirms clinically documented symptoms of long COVID in a large, real-world population. Once more data become available, further research on the long term economic and clinical outcomes among patients diagnosed with post-acute COVID-19 syndrome are warranted.Copyright © 2023
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Introduction: Variants in PPP1R13L are associated with severe childhood-onset cardiomyopathy resulting in rapid progression to death or cardiac transplantation. PPP1R13L is proposed to encode a protein that limits the transcriptional activity of the NFkappaB pathway leading to elevated IL-1, IL-6, and TNF-alpha production in murine models. Optimal medical management for PPP1R13L-related cardiomyopathy is unknown. Here we report usage of a targeted anti-IL-1 immuno-modulatory therapy resulting in cardiac stabilization in a pediatric patient with congenital cardiomyopathy secondary to PPP1R13L variants. Case Report: A 4-year-old boy presented acutely with fever in the setting of persistent abdominal pain, vomiting, fatigue, and decreased appetite for two months following a mild COVID-19 related illness. Echocardiogram revealed severely depressed biventricular systolic function with an ejection fraction of 30%. Due to acute decompensated heart failure symptoms with hemodynamic instability, he was intubated and placed on continuous inotropic infusions with aggressive diuresis. Cardiac MRI demonstrated extensive subepicardial to near transmural fibrosis by late gadolinium enhancement in right and left ventricles. An implantable cardioverter-defibrillator (ICD) was placed due to frequent runs of polymorphic non-sustained ventricular tachycardia. Testing for viral pathogens was positive for rhino/enterovirus. Initial genetic testing was non-diagnostic (82-gene cardiomyopathy panel) but given the patient's significant presentation whole genome sequencing was pursued that showed two separate PPP1R13L variants in trans (c.2167A>C,p.T723P and c.2179_2183del,p. G727Hfs*25, NM_006663.4). Patient serum cytokine testing revealed elevations in IL-10 (4.7 pg/mL) and IL-1beta (20.9 pg/mL). Given the patient's tenuous circumstances and concern for continued progression of his cardiac disease, a trial of IL-1 inhibition via anakinra dosed at 3 mg/kg or 45 mg daily was initiated following hospital discharge. With approximately 6 months of therapy, the patient's cardiac function is stable with normalization of IL-10 and IL-1beta serum levels. Notably, the ventricular arrhythmia decreased after initiation of anakinra with no ICD shocks given. Therapy overall has been well tolerated without infectious concerns. Conclusion(s): In patients with PPP1R13L-related cardiomyopathy, immuno-modulatory therapies should be considered in an attempt to slow cardiac disease progression.Copyright © 2023 Elsevier Inc.