Disease Severity In Patients Research Articles

Informant characteristics influence Clinical Dementia Rating Sum of Boxes scores-based staging of Alzheimer's disease.

The Clinical Dementia Rating Sum of Boxes (CDR-SB) is a staging scale for Alzheimer's disease (AD)1 and is commonly used as an outcome in clinical trials2. It relies on information provided by the patient and an informant3. The CDR-SB should reflect only the patient's disease severity. However, we explored whether informant characteristics were associated with CDR-SB scores because that association might introduce bias in Alzheimer's disease research. We found that the CDR-SB was 0.20 higher when informants were female, 0.39 higher when the informant was a patient's child and 0.18 lower if the relationship was other than spouse or children. Regarding the frequency of contact, CDR-SB scores were 0.38 higher when contact was at least once a week, 0.65 higher when daily and 0.57 higher when living with the patient. Our analysis results suggest that informant characteristics can modify the CDR-SB scores and might introduce bias into Alzheimer's disease trials and research.

The Incidence and Risk Factors of Refeeding Syndrome-like Hypophosphatemia in Inflammatory Bowel Disease: A Preliminary Study.

Refeeding syndrome (RFS) is defined by the presence of acute electrolyte disturbances, including hypophosphatemia. Underlying disease(s), malnutrition and hospitalisation are known risk factors for RFS. It can occur in patients with inflammatory bowel disease (IBD). We aimed to determine the frequency of hypophosphatemia and the relationship between hypophosphatemia, disease severity and nutritional status in hospitalized patients with IBD. This study was performed prospectively in hospitalized adult patients for the treatment of IBD in a tertiary-care hospital. Disease severity was assessed using Truelove and Witts score for ulcerative colitis (UC) and Crohn's Disease Activity Index for Crohn's disease (CD). Nutritional status was determined using Subjective Global Assessment (SGA). Serum phosphate concentration was recorded for first 7 days after hospitalization, and less than 0.65 mmol/l was defined as hypophosphatemia. Fifty participants (33 with UC and 17 with CD) were included in the study. The mean age of the study sample was 43.4±14.9 years, of which 64% were male. A total of 8.8% of patients with UC and 37.5% of patients with CD had severe (>moderate) disease upon study admission. Seventeen patients (34%) were malnourished. During the 7 study days, 23 participants (46%) had at least one episode of hypophosphatemia. Serum phosphate concentration was significantly and moderately correlated with serum potassium concentration in both the patients and the hypophosphatemia group on study day 3 (p<0.05). Multivariate logistic regression analysis showed that the presence of malnutrition [odds ratio (OR) = 3.64, 95% confidence interval (CI): 1.52-5.58, p=0.008), the administration of parenteral nutrition (OR=2.91, 95%Cl: 1.37-4.63, p=0.015), and severe IBD (OR=1.74, 95%CI: 1.03-3.42, p=0.020) were associated with hypophosphatemia. Approximately half of the participants exhibited at least one instance of hypophosphatemia during the study period. Hypophosphatemia was found to be associated with malnutrition, parenteral nutrition, and severe disease in patients with IBD requiring hospitalization.

Hypoalbuminemia on admission in diabetic patients correlates with severity of illness in COVID-19: A retrospective clinical study and literature review

IntroductionTo elucidate factors associated with severe disease in patients with coronavirus disease 2019 (COVID-19) pneumonia complicated with diabetes mellitus. MethodsAmong patients with COVID-19 pneumonia hospitalized from January to September 2021, 100 patients with diabetes were included in the study. Patients in the intensive care unit admission or in-hospital death category were defined as the severe group (26 patients), and the other patients as the moderate group (74 patients). Comparisons were made between the two groups. Medical histories were extracted from the medical records, and statistical analysis was performed. ResultsPatients were 62.1 ± 13.0 years of age, 70 % male, 48 % aged 65 years and more, and HbA1c was 7.72 ± 1.51 %. The severe group had significantly higher blood glucose level, CRP, WBC, and LDH on admission. Serum albumin level was significantly lower in the severe group and was significantly negatively correlated with number of days on oxygen administration (r = 0.447) and maximal oxygen concentration (r = 0.561). Multiple logistic regression analysis with severity of illness as the objective variable showed that high CRP and low albumin levels on admission, and older age were independently associated. ConclusionsLow albumin levels on admission may be an indicator of severe disease in patients with diabetes.

Associations between COVID-19 and Glucose-6-Phosphate Dehydrogenase Activity in Brazil.

Glucose-6 phosphate dehydrogenase deficiency (G6PDd) was suggested as a risk factor for severe disease in patients with COVID-19. We evaluated clinical outcomes and glucose-6 phosphate dehydrogenase (G6PD) activity during and after illness in patients with COVID-19. This prospective cohort study included adult participants (≥18 years old) who had clinical and/or radiological COVID-19 findings or positive reverse transcription-polymerase chain reaction results. Epidemiological and clinical data were extracted from electronic medical records. Glucose-6 phosphate dehydrogenase activity was measured using SD Biosensor STANDARD G6PD® equipment on admission and 1 year after discharge. Samples were genotyped for the three most common single nucleotide polymorphisms for G6PDd in the Brazilian Amazon. Seven hundred fifty-three patients were included, of whom 123 (16.3%) were G6PD deficient. There was no difference between groups regarding the risks of hospitalization (P = 0.740) or invasive mechanical ventilation (P = 0.31), but the risk of death was greater in patients with normal G6PD levels (P = 0.022). Only 29 of 116 participants (25%) carried the African G6PDd genotype. Of 30 participants tested as G6PD deficient during disease, only 11 (36.7%) results agreed 1 year after discharge. In conclusion, this study does not demonstrate an association of G6PDd with severity of COVID-19. Limitations of the test for detecting enzyme levels during COVID-19 illness were demonstrated by genotyping and retesting after the disease period. Care must be taken when screening for G6PDd in patients with acute COVID-19.

Immune Characteristic Genes and Neutrophil Immune Transformation Studies in Severe COVID-19.

As a disease causing a global pandemic, the progression of symptoms to severe disease in patients with COVID-19 often has adverse outcomes, but research on the immunopathology of COVID-19 severe disease remains limited. In this study, we used mRNA-seq data from the peripheral blood of COVID-19 patients to identify six COVID-19 severe immune characteristic genes (FPR1, FCGR2A, TLR4, S100A12, CXCL1, and L TF), and found neutrophils to be the critical immune cells in COVID-19 severe disease. Subsequently, using scRNA-seq data from bronchoalveolar lavage fluid from COVID-19 patients, neutrophil subtypes highly expressing the S100A family were found to be located at the end of cellular differentiation and tended to release neutrophil extracellular traps. Finally, it was also found that alveolar macrophages, macrophages, and monocytes with a high expression of COVID-19 severe disease immune characteristic genes may influence neutrophils through intercellular ligand-receptor pairs to promote neutrophil extracellular trap release. This study provides immune characteristic genes, critical immune pathways, and immune cells in COVID-19 severe disease, explores intracellular immune transitions of critical immune cells and pit-induced intercellular communication of immune transitions, and provides new biomarkers and potential drug targets for the treatment of patients with COVID-19 severe disease.

Comparison of the incidence of severe outcomes in outpatients with COVID-19 or seasonal influenza without risk factors: Retrospective analysis of a health insurance claims-database

BackgroundTo evaluate disease severity for coronavirus disease of 2019 (COVID-19), seasonal influenza (FLU) is often used as a control group for comparison. However, evidence regarding outpatients without risk factors for severe disease is insufficient to consider future treatment policies for these patients. ObjectivesTo compare the risk of severe disease in patients without risk factors for severe disease who are diagnosed with COVID-19 or FLU. Study designThis was a retrospective study analyzing a health insurance claims database (data collection: COVID-19, January 2020 through August 2022; FLU, October 2017 through September 2019). Outcome measures were incidences of severe events of hospitalization, respiratory and heart rate monitoring, oxygen therapy, ventilator use, and intensive care unit admission (within 28 days from diagnosis), and death (within the following month). ResultsData from 575,293 patients were included in the COVID-19 group and from 1,095,698 patients in the FLU group, without risk factors. Adjusted odds ratios for all study outcomes were significantly higher for patients with COVID-19 than with FLU (>3 times greater odds ratio for all severe events). For the population aged ≥18 years, there was also a significantly higher risk for all severe events with COVID-19 versus FLU. The incidence of severe events with COVID-19 among the population aged <18 years was greatly reduced (versus ≥18 years), and risk for severe events was not significantly different with COVID-19 versus FLU. ConclusionsThese findings suggest that the medical need for specific treatment for patients with COVID-19 may be as high as for FLU.

Effect of serum autoantibodies on the COVID-19 patient's prognosis.

Virus infection closely associated with autoimmune disease. The study aimed to explore the autoantibody profiles and the correlation of autoantibodies with the disease severity and the prognosis of the coronavirus disease 2019 (COVID-19) patients. Three hundred thirty-seven hospitalized COVID-19 patients from 6th to 23rd January 2023 were enrolled. Logistic and Cox regression analyses were used to analyze the risk factors for the patient's disease severity and outcome. The association between Anti-extractable nuclear antigen antibody (ENA) positivity and the prognosis of COVID-19 patients was analyzed using Kaplan-Meier survival curves. 137 of COVID-19 patients were detected positive for antinuclear antibody (ANA), 61 had positive results for ENA, and 38 were positive for ANA and ENA. ANA positivity rate was higher in non-severe illness group (p = 0.032). COVID-19 patients who died during hospitalization had a high rate of ENA positivity than convalescent patients (p = 0.002). Multivariate logistic regression showed that ANA positivity was a protective factor for the disease severity of COVID-19. Multivariate Cox regression analysis revealed that ENA positivity, white blood cells count (WBC), aspartate aminotransferase (AST), Creatinine (CREA), and CRP were independent risk factors for the outcome of COVID-19 patients, and that COVID-19 patients with ENA positivity had a lower cumulative survival rate (p = 0.002). A spectrum of autoantibodies were expressed in COVID-19 patients, among which ANA and ENA positivity was associated with the severity and prognosis of COVID-19. Therefore, autoantibodies may help to assess the disease severity and prognosis of COVID-19 patients.

Analysis of clinical characteristics and risk factors between elderly patients with severe and nonsevere Omicron variant infection

BACKGROUND Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has led to millions of confirmed cases and deaths worldwide. Elderly patients are at high risk of developing and dying from COVID-19 due to advanced age, decreased immune function, intense inflammatory response, and comorbidities. Shanghai has experienced a wave of infection with Omicron, a new variant of SARS-CoV-2, since March 2022. There is a pressing need to identify clinical features and risk factors for disease progression among elderly patients with Omicron infection to provide solid evidence for clinical policy-makers, public health officials, researchers, and the general public. AIM To investigate clinical characteristic differences and risk factors between elderly patients with severe and nonsevere Omicron SARS-CoV-2 variant infection. METHODS A total of 328 elderly patients with COVID-19 admitted to the Ninth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from April 2022 to June 2022 were enrolled and divided into a severe group (82 patients) and a nonsevere group (246 patients) according to the diagnosis and treatment protocol of COVID-19 (version 7). The clinical data and laboratory results of both groups were collected and compared. A chi-square test, t test, Mann-Whitney U test, hierarchical log-rank test, univariate and multivariate logistic regression, and hierarchical analyses were used to determine significant differences. RESULTS The severe group was older (84 vs 74 years, P &lt; 0.001), included more males (57.3% vs 43.9%, P = 0.037), had a lower vaccination rate (P &lt; 0.001), and had a higher proportion of comorbidities, including chronic respiratory disease (P = 0.001), cerebral infarction (P &lt; 0.001), chronic kidney disease (P = 0.002), and neurodegenerative disease (P &lt; 0.001), than the nonsevere group. In addition, severe disease patients had a higher inflammatory index (P &lt; 0.001), greater need for symptomatic treatment (P &lt; 0.001), longer hospital stay (P = 0.011), extended viral shedding time (P = 0.014), and higher mortality than nonsevere disease patients (P &lt; 0.001). No difference was observed in the application of Paxlovid in the severe and nonsevere groups (P = 0.817). Oxygen saturation, cerebral infarction, and D-dimer were predictive factors for developing severe disease in patients with COVID-19, with D-dimer having an excellent role (area under the curve: 90.1%, 95%CI: 86.1-94.0%). In addition, D-dimer was a risk factor for developing severe COVID-19 according to multivariate stratified analysis. CONCLUSION The clinical course of severe COVID-19 is complex, with a higher need for symptomatic treatment. D-dimer is a suitable biomarker for identifying patients at risk for developing severe COVID-19.

Integrating SARS-CoV-2-specific interferon-γ release assay testing in the evaluation of patients hospitalized with COVID-19.

T cell-mediated immunity is crucial for protection against severe COVID-19. The performance of SARS-CoV-2-specific IFN-γ release assays (IGRAs) to measure T cell responses during severe acute infection is unknown. We conducted a prospective, longitudinal analysis of patients hospitalized for confirmed COVID-19. A standardized SARS-CoV-2-specific quantitative IGRA was measured on admission. Follow-up lasted 90 days. Two hundred forty-eight patients were included; 181 (73%) were vaccinated, 142 (57.3%) were infected with the Omicron variant, and 106 (42.7%) were infected with the Delta variant. The SARS-CoV-2-IGRA result was positive (>200 mIU/mL) in 125 (50.5%) patients, with 44 (35.2%) showing concomitant mitogen-induced IFN-γ response. Compared with patients with negative and borderline results, those with positive SARS-CoV-2 IGRA were younger and showed lower frequency of co-existing comorbidities, lower median Charlson comorbidity index, lower frequency of World Health Organization (WHO) severity score > 4, higher peripheral arterial oxygen saturation to inspired fraction of oxygen (SpO2/FiO2) ratio on admission, higher S-IgG and N-IgG antibody responses, and lower mortality at 28/60/90 days. These findings were consistent for both the Omicron and Delta variants. Similar patterns to those described above were observed in the subset of patients with positive SARS-CoV-2-IGRA and indeterminate mitogen-induced responses, as well as in those exhibiting both positive SARS-CoV-2-specific and mitogen responses. Twenty-eight (11.3%) patients had borderline (100-200 mIU/mL) SARS-CoV-2-IGRA results and shared several similarities with patients with negative SARS-CoV-2 IGRA. In an adjusted Cox model, a negative SARS-CoV-2-IGRA result was found to be an independent predictor of mortality. Using a receiver operating characteristics curve analysis, we found that an IFN-γ value of 150 mIU/mL was identified as the optimal cut-off point for predicting mortality, with 79% [95% confidence interval (CI) 61-93] sensitivity, 61% (95% CI 55-68) specificity, 18% (95% CI 15-22) positive predictive value, 96% (95% CI 93-98) negative predictive value, and an area under the curve (AUC) of 70%. The assay's performance remained consistent regardless of mitogen results or the presence of the Delta or Omicron variants. IMPORTANCE The cellular immune response is essential in the protection against severe disease in patients with established SARS-CoV-2 infection. The novelty of this study lies in the evaluation of the overall performance of a standardized assay to measure cellular immune response, the SARS-CoV-2-specific interferon-γ release assay (IGRA), in hospitalized patients with severe COVID-19. The SARS-CoV-2 IGRA was shown to accurately classify patients based on disease severity and prognosis, and the study revealed that test performance was not affected by the SARS-CoV-2 variant or control tube results. We identified an assay cut-off point with a high negative predictive value against mortality. The SARS-CoV-2 IGRA in patients hospitalized for COVID-19 may be a useful tool to assess cellular immunity and adopt targeted therapeutic and preventive measures.

Dupilumab Efficacy in Patients with Type 2 Asthma with and without Elevated Blood Neutrophils.

Elevated neutrophil counts in blood, sputum, or lung have been associated with poor clinical outcomes and more severe disease in patients with type 2 asthma. In the phase 3 LIBERTY ASTHMA QUEST (NCT02414854), add-on dupilumab 200 and 300 mg every 2 weeks compared with matched placebo significantly reduced severe asthma exacerbations and improved forced expiratory volume in 1 s (FEV1) in patients with uncontrolled, moderate-to-severe asthma. This post hoc analysis explored the efficacy of dupilumab in patients with type 2 asthma enrolled in QUEST with or without elevated blood neutrophil counts. Annualized severe exacerbation rates during the 52-week treatment period and least-squares mean change from baseline in FEV1 over time were evaluated for patients with elevated type 2 biomarkers at baseline (blood eosinophils ≥ 150 cells/µL or fractional exhaled nitric oxide (FeNO) ≥ 20 ppb; and eosinophils ≥ 300 cells/µL or FeNO ≥ 50 ppb) and low (<4,000 cells/µL) or high (≥4,000 cells/µL) neutrophil counts. Dupilumab significantly reduced annualized severe exacerbation rates compared with placebo during the 52-week treatment period in patients with elevated type 2 biomarkers, irrespective of baseline neutrophil count (P < 0.0001 for all comparisons). Significant improvements in FEV1 versus placebo were observed as early as Week 2 and over the 52-week treatment period, irrespective of baseline neutrophil count (P < 0.001 for all comparisons). Safety findings were similar across all subgroups, regardless of neutrophil counts at baseline. Dupilumab treatment significantly reduced annualized severe exacerbation rates and improved lung function in patients with uncontrolled, moderate-to-severe, type 2 asthma, irrespective of baseline blood neutrophil count. This trial is registered with NCT02414854.

IL-6 and Neutrophil/Lymphocyte Ratio as Markers of ICU Admittance in SARS-CoV-2 Patients with Diabetes.

Inflammation along with coagulation disturbances has an essential role in the evolution towards a severe disease in patients with the coronavirus disease 2019 (COVID-19). This study aimed to evaluate inflammatory and coagulation biomarkers when predicting the need to visit an intensive care unit (ICU) in diabetes mellitus (DM) patients. In a retrospective study, laboratory parameters were examined for 366 participants: ICU = 90, of which 44 patients had DM and no ICU admittance = 276. The ability of inflammatory and coagulation markers to distinguish the severity of COVID-19 was determined using univariate and multivariate regression analysis. In all patients, lactate dehydrogenase was the only predictor for ICU admittance in the multivariate analysis. In the DM group, the results showed that the interleukin (IL)-6 and neutrophil/lymphocyte ratio (NLR) values at admission could predict the need for ICU admittance. Even though there were significant differences between the ICU and no ICU admittance groups regarding the coagulation markers, they could not predict the severity of the disease in DM patients. The present study showed for the first time that the IL-6 and NLR admission values could predict ICU admittance in DM patients. This finding could help clinicians manage the infection more easily if the COVID-19 pandemic strikes again.

Serum hyaluronic acid and procollagen III, N-terminal propeptide levels are highly associated with disease severity and predict the progression of COVID-19.

The coronavirus disease 2019 (COVID-19) pandemic is a rapidly evolving global emergency and continuously poses a serious threat to public health, highlighting the urgent need of identifying biomarkers for disease severity and progression. In order to early identify severe and critical patients, we retrospectively analyze the clinical characteristics and risk indicators of severe disease in patients with corona virus disease 2019 (COVID-19). A total of 420 confirmed COVID-19 patients were included in the study. According to the "Diagnosis and Treatment of novel coronavirus Pneumonia (10th Edition)", the cases were divided into mild group (n = 243) and severe group (n =177). Laboratory parameters were analyzed in combination with clinical data. Male patients over 46 years who have smoking habits were more likely to suffer from severe COVID-19. Critically ill patients had lower lymphocyte counts and red blood cell counts, and higher white blood cell counts (P<0.05). Expectedly, serum inflammatory factors (NLR, PLR, LMR, CLR, PCT, CRP), coagulation markers (APTT, PT, TT, FIB, D-Dimer), Myocardial damage markers (hs-TNT, LDH) were significantly increased (P<0.05) in severe COVID-19 patients. Surprisedly, those patients showed obviously elevated levels of common tumor markers (ProGRP, CYFRA21-1, SCC, NSE) (P<0.05). In this case, the levels of tumor marker reflected more the condition of inflammation than the growth of tumor. More importantly, HA and PIIIN-P were highly associated with COVID-19 severity. The AUC of the ROC curve for the diagnosis of severe COVID-19 by HA and PIIIN-P was 0.826. Meanwhile, HA was positively correlated with myocardial damage markers (hs-TNT, LDH). PIIIN-P was positively correlated with myocardial damage markers (hs-TNT, LDH) and inflammatory factors (NLR, PLR, LMR, CLR, ProGRP, SCC, PCT, CRP). On the contrary, PIIIN-P was negatively correlated with pulmonary function indexes (oxygenation index and oxygen saturation of hemoglobin). HA and PIIIN-P are highly associated with disease severity and progression of COVID-19 and can be used as new markers for the prediction of severe COVID-19.

Predicting severe disease in patients diagnosed with seasonal influenza in the emergency department.

We sought to develop an evidence-based tool to risk stratify patients diagnosed with seasonal influenza in the emergency department (ED). We performed a single-center retrospective cohort study of all adult patients diagnosed with influenza in a large tertiary care ED between 2008 and 2018. We evaluated demographics, triage vital signs, chest x-ray and laboratory results obtained in the ED. We used univariate and multivariate statistics to examine the composite primary outcome of death or need for intubation. We validated our findings in patients diagnosed between 2018 and 2020. We collected data from 3128 subjects; 2196 in the derivation cohort and 932 in the validation cohort. Medical comorbidities, multifocal opacities or pleural effusion on chest radiography, older age, elevated respiratory rate, hypoxia, elevated blood urea nitrogen, blood glucose, blood lactate, and red blood cell distribution width were factors associated with intubation or death. We developed the Predicting Intubation in seasonal Influenza Patients diagnosed in the ED (PIIPED) risk-stratification tool from these factors. The PIIPED tool predicted intubation or death with an area under the receiver operating characteristic curve (AUC) of 0.899 in the derivation cohort and 0.895 in the validation cohort. A version of the tool including only factors available at ED triage, before laboratory or radiographic evaluation, exhibited AUC of 0.852 in the derivation cohort and 0.823 in the validation cohort. Clinical findings during an ED visit predict severe outcomes in patients with seasonal influenza. The PIIPED risk stratification tool shows promise but requires prospective validation.

Respiratory syncytial virus burden and risk factors for severe disease in patients presenting to the emergency department with flu-like symptoms or acute respiratory failure

BackgroundPredictors of Respiratory Syncytial Virus (RSV) infection and determinants of RSV unfavorable outcomes are still unclear. We assessed RSV burden and investigated the risk factors associated with RSV positive swab and RSV severe disease. MethodsA retrospective, single center, cohort study included all consecutive patients referred to the emergency department of L. Sacco University Hospital (Milan) with flu-like symptoms or acute respiratory failure (aRF) tested per protocol for SARS-CoV-2, RSV, Influenza A (InvA) during the 2022–2023 autumn/winter season. Clinical characteristics and patients’ outcomes were registered. Respiratory failure, need for respiratory support, shock, sepsis or in-hospital death defined severe disease. Main findingsThe analysis included 717 patients (65.1% negative swab, 14.1% InvA, 8.5% RSV, 8.6% SARS-CoV-2, 3.6% other viruses). Compared with the study cohort, RSV patients had the highest occurrence of aRF (62.7%) and severe disease (70.5%); mortality was similar to InvA (6.6% vs 5.9%, p = 0.874). Compared with InvA patients, RSV patients were older (p = 0.009), had higher Charlson index (p = 0.001), higher prevalence of chronic heart failure (p = 0.001) and were more frequently on ICS (p = 0.026) and immunosuppressants (p = 0.018). Heart failure [OR (95%CI):3.286 (1.031–10.835); p = 0.041], chronic exposure to ICS [OR (95%CI):2.377 (1.254–4.505); p = 0.008] and immunosuppressants [OR (95%CI):3.661 (1.246–10.754); p = 0.018] predicted RSV infection. Glycaemia ≥120 mg/dL [OR (95%CI):5.839 (1.155–29.519); p = 0.033], leucocytes ≥8000 cells/μL [OR (95%CI):5.929 (1.090–32.268); p = 0.039], and past/active smoking [OR (95%CI):7.347 (1.301–41.500); p = 0.024] predicted severe RSV disease. ConclusionsRSV infection is associated with significant mortality and morbidity. Preventive strategies for RSV infection such as vaccination are highly warranted, especially in older patients with cardiovascular and chronic respiratory conditions.

The small non-coding RNA B11 regulates multiple facets of Mycobacterium abscessus virulence.

Mycobacterium abscessus causes severe disease in patients with cystic fibrosis. Little is known in M. abscessus about the roles of small regulatory RNAs (sRNA) in gene regulation. We show that the sRNA B11 controls gene expression and virulence-associated phenotypes in this pathogen. B11 deletion from the smooth strain ATCC_19977 produced a rough strain, increased pro-inflammatory signaling and virulence in multiple infection models, and increased resistance to antibiotics. Examination of clinical isolate cohorts identified isolates with B11 mutations or reduced expression. We used RNAseq and proteomics to investigate the effects of B11 on gene expression and test the impact of mutations found in clinical isolates. Over 200 genes were differentially expressed in the deletion mutant. Strains with the clinical B11 mutations showed expression trends similar to the deletion mutant, suggesting partial loss of function. Among genes upregulated in the B11 mutant, there was a strong enrichment for genes with B11-complementary sequences in their predicted ribosome binding sites (RBS), consistent with B11 functioning as a negative regulator that represses translation via base-pairing to RBSs. Comparing the proteomes similarly revealed that upregulated proteins were strongly enriched for B11-complementary sequences. Intriguingly, genes upregulated in the absence of B11 included components of the ESX-4 secretion system, critical for M. abscessus virulence. Many of these genes had B11-complementary sequences at their RBSs, which we show is sufficient to mediate repression by B11 through direct binding. Altogether, our data show that B11 acts as a direct negative regulator and mediates (likely indirect) positive regulation with pleiotropic effects on gene expression and clinically important phenotypes in M. abscessus. The presence of hypomorphic B11 mutations in clinical strains is consistent with the idea that lower B11 activity may be advantageous for M. abscessus in some clinical contexts. This is the first report on an sRNA role in M. abscessus.

Patients with chronic myeloid leukemia and coronavirus disease 2019 in the Omicron era.

To explore the prevalence and severity of COVID-19 and the mental health during the Omicron pandemic in patients with chronic myeloid leukemia (CML), a cross-sectional survey from 2609 respondents with CML was performed. A total of 1725 (66%) reported that they had COVID-19 during this period. Among them, 1621 (94%) were mild; 97 (6%), moderate; 7 (0.4%), severe; and 0, critical or death. Four hundred three (15%), 199 (8%), and 532 (20%) had moderate to severe depression, anxiety, and distress, respectively. Eight hundred ninety (34%), 667 (26%), and 573 (22%), avoidance, intrusion, and hyper-arousal, respectively. In multivariate analyses, longer TKI-therapy duration was significantly associated with a lower prevalence of COVID-19 (odds ratio [OR] = 0.98; 95% confidence interval [CI], 0.95, 0.99; p = 0.043); however, living in urban areas (OR = 1.6 [1.3, 2.0]; p < 0.001) and having family members with COVID-19 (OR = 18.6 [15.1, 22.8]; p < 0.001), a higher prevalence of COVID-19. Increasing age (OR = 1.2 [1.1, 1.4]; p = 0.009), comorbidity(ies) (OR = 1.7 [1.1, 2.7]; p = 0.010), and multi-TKI-resistant patients receiving 3rd-generation TKIs or investigational agents (OR = 2.2 [1.2, 4.2]; p = 0.010) were significantly associated with moderate or severe COVID-19. Female, comorbidity(ies), unvaccinated, and moderate or severe COVID-19 were significantly associated with almost all adverse mental health consequences; increasing age or forced TKI dose reduction because of various restriction during the pandemic, moderate to severe distress, avoidance, or intrusion; however, mild COVID-19, none or mild anxiety, distress, avoidance, or intrusion. In conclusion, shorter TKI-therapy duration, increasing age, comorbidity(ies), or multi-TKI-resistant patients receiving 3rd-generation TKIs or investigational agents had a higher prevalence of COVID-19 or higher risk of moderate or severe disease in patients with CML; increasing age, female, comorbidity(ies), forced TKI dose reduction due to the pandemic, moderate or severe COVID-19, unvaccinated, a higher likelihood of worse mental health.

Understanding Discordant Perceptions of Disease Severity Between Physicians and Patients With Eczema and Psoriasis Using Structural Equation Modeling

Patients and physicians often have differing opinions on the patient's disease severity. This phenomenon, termed discordant severity grading (DSG), hinders the patient-physician relationship and is a source of frustration. To test and validate a model explaining the cognitive, behavioral, and disease factors associated with DSG. A qualitative study was first performed to derive a theoretical model. In this subsequent prospective cross-sectional quantitative study, the qualitatively derived theoretical model was validated using structural equation modeling (SEM). Recruitment was conducted between October 2021 and September 2022. This was a multicenter study in 3 Singapore outpatient tertiary dermatological centers. Dermatology patients and their attending physicians were recruited by convenience sampling. Patients were aged 18 to 99 years with psoriasis or eczema of at least 3 months' duration and recruited only once. The data were analyzed between October 2022 to May 2023. The outcome was the difference between global disease severity (0-10 numerical rating scale with a higher score indicating greater severity) as independently scored by the patient and the dermatologist. Positive discordance was defined as patient-graded severity more than 2 points higher (graded more severely) than physicians, and negative discordance if more than 2 points lower than physicians. Confirmatory factor analysis followed by SEM was used to assess the associations between preidentified patient, physician, and disease factors with the difference in severity grading. Of the 1053 patients (mean [SD] age, 43.5 [17.5] years), a total of 579 (55.0%) patients were male, 802 (76.2%) had eczema, and 251 (23.8%) had psoriasis. Of 44 physicians recruited, 20 (45.5%) were male, 24 (54.5%) were aged between 31 and 40 years, 20 were senior residents or fellows, and 14 were consultants or attending physicians. The median (IQR) number of patients recruited per physician was 5 (2-18) patients. Of 1053 patient-physician pairs, 487 pairs (46.3%) demonstrated discordance (positive, 447 [42.4%]; negative, 40 [3.8%]). Agreement between patient and physician rating was poor (intraclass correlation, 0.27). The SEM analyses showed that positive discordance was associated with higher symptom expression (standardized coefficient B = 0.12; P = .02) and greater quality-of-life impairment (B = 0.31; P < .001), but not patient or physician demographics. A higher quality-of-life impairment was in turn associated with lower resilience and stability (B = -0.23; P < .001), increased negative social comparisons (B = 0.45; P < .001), lower self-efficacy (B = -0.11; P = .02), increased disease cyclicity (B = 0.47; P < .001), and greater expectation of chronicity (B = 0.18; P < .001). The model was well-fitted (Tucker-Lewis: 0.94; Root Mean Square Error of Approximation: 0.034). This cross-sectional study identified various modifiable contributory factors to DSG, increased understanding of the phenomenon, and set a framework for targeted interventions to bridge this discordance.

Development of a Rasch-Built Amyotrophic Lateral Sclerosis Impairment Multidomain Scale to Measure Disease Progression in ALS.

Current scales used in amyotrophic lateral sclerosis (ALS) attempt to summarize different functional domains or "dimensions" into 1 overall score, which may not accurately characterize the individual patient's disease severity or prognosis. The use of composite score risks declaring treatments ineffective if not all dimensions of ALS disease progression are affected equally. We aimed to develop the ALS Impairment Multidomain Scale (AIMS) to comprehensively characterize disease progression and increase the likelihood of identifying effective treatments. The Revised ALS Functional Rating Scale (ALSFRS-R) and a preliminary questionnaire, based on literature review and patient input, were completed online by patients from the Netherlands ALS registry at bimonthly intervals over a period of 12 months. A 2-week test-retest, factor analysis, Rasch analysis, and a signal-to-noise optimization strategy were performed to create a multidomain scale. Reliability, longitudinal decline, and associations with survival were evaluated. The sample size required to detect a 35% reduction in progression rate over 6 or 12 months was assessed for a clinical trial that defines the ALSFRS-R or AIMS subscales as a primary endpoint family. The preliminary questionnaire, consisting of 110 questions, was completed by 367 patients. Three unidimensional subscales were identified, and a multidomain scale was constructed with 7 bulbar, 11 motor, and 5 respiratory questions. Subscales fulfilled Rasch model requirements, with excellent test-retest reliability of 0.91-0.94 and a strong relationship with survival (p < 0.001). Compared with the ALSFRS-R, signal-to-noise ratios were higher as patients declined more uniformly per subscale. Consequently, the estimated sample size reductions achieved with the AIMS compared with those achieved with the ALSFRS-R were 16.3% and 25.9% for 6-month and 12-month clinical trials, respectively. We developed the AIMS, consisting of unidimensional bulbar, motor, and respiratory subscales, which may characterize disease severity better than a total score. AIMS subscales have high test-retest reliability, are optimized to measure disease progression, and are strongly related to survival time. The AIMS can be easily administered and may increase the likelihood of identifying effective treatments in ALS clinical trials.

Real-world treatment modalities, health care resource utilization, and costs among commercially insured patients with newly diagnosed major depressive disorder in the United States.

BACKGROUND: In the United States, major depressive disorder (MDD) is one of the most prevalent mental health disorders. Treatment guidelines for MDD recommend pharmacologic and nonpharmacologic therapies tailored to the patient's disease severity, level of function, and comorbid health conditions. While previous studies examined real-world pharmacologic treatment patterns and costs among patients with MDD, few have examined the use of nonpharmacologic treatments and their association with health care resource utilization (HCRU) and cost. OBJECTIVE: To describe prevalence and associations between patient/provider characteristics and treatment modality and characterize HCRU and cost by treatment modality for patients with newly diagnosed MDD. METHODS: Commercially insured US patients, aged 18-62 years with newly diagnosed MDD between January 1, 2017, and September 30, 2019, were retrospectively identified from the Healthcare Integrated Research Database. Eligible patients were continuously enrolled in the health plan for 1 year before and 2 years after the first MDD diagnosis (index date). Those with co-occurring schizophrenia, bipolar disorder, postpartum depression, substance use disorder, and any prior MDD treatments were excluded. Treatment modalities assessed in the 2-year post-index period included antidepressant only (Rx-only), nonpharmacologic only (non-Rx-only), both antidepressant and nonpharmacologic (combination), and no treatment. HCRU and costs were assessed in the 2-year post-index period by treatment modality. Regression models identified associations between patient/provider characteristics and treatment modality, and the relationship between treatment modality and MDD severity changes. RESULTS: In total, 12,657 patients were included (mean age: 36 years; 60% female). During follow-up, 34% of patients received Rx-only, 25% received non-Rx-only, 28% received combination, and 13% received no treatment. MDD severity at diagnosis (26% mild, 54% moderate, 20% severe) was available for 51% of patients. Post-index inpatient hospitalizations were 11% for those with Rx-only, 10% for non-Rx-only, 16% for combination, and 29% for no treatment, whereas all-cause mean monthly total costs were $792, $633, $786, and $1,292, respectively. In multinomial logistic regression, age, sex, geographic region and urbanicity of patient residence, socioeconomic status, diagnosing provider specialty, and initial diagnosis location were significantly associated (P < 0.05) with treatment modality. In multivariable logistic regression, recipients of Rx-only (odds ratio = 2.03, P < 0.01) or combination (odds ratio = 3.26, P < 0.01) had higher odds of improving MDD severity than patients who received no treatment. CONCLUSIONS: In this real-world sample of commercially insured patients, we observed variations in outcomes by treatment modality and an association between treatment modality and disease severity. Further research is needed to explore the underlying causal relationships between treatment modality and patient outcomes. Study Registration: https://doi.org/10.17605/OSF.IO/YQ6B3 DISCLOSURES: Dr Grabner is an employee of Carelon Research, which received funding from the Innovation and Value Initiative for the conduct of the study on which this manuscript is based. Ms Pizzicato and Mr Yang were employees of Carelon Research at the time the study was conducted. Dr Grabner is a shareholder of Elevance Health. Drs Xie and Chapman are employees of the Innovation and Value Initiative.

Real-world experience of monoclonal antibodies in mild-to-moderate COVID-19 patients at a tertiary care center

BackgroundNeutralizing antibodies cocktail (casirivimab and imdevimab) has received emergency use authorization recommendation by Food and Drug Administration (FDA) and WHO for mild-to-moderate COVID-19 infection in specific high-risk groups. Antibodies cocktail has shown promising results in preventing progression to severe disease, but the real-world experience is still evolving. Herein, we present a retrospective analysis of 22 patients who were administered the antibodies cocktail between August 2021 and March 2022 at our tertiary care center. MethodsWe conducted an observational retrospective analysis of clinicoradiological, inflammatory parameters, progression of the disease, and outcome among 22 mild and moderate COVID-19 patients treated with antibodies cocktail. ResultsThe mean age was 67.7 years (SD ± 18.3) and comprised of 13 males (59%), while 9 were females (40.9%). Nine (40.9%) patients were fully vaccinated with two doses, nine (40.9%) were partially vaccinated with one dose while four patients (18.2%) were unvaccinated, and the rest were unvaccinated. Diabetes and hypertension were the commonest comorbidities; hematological and solid organ malignancies were other comorbidities. Eight patients had radiological opacities consistent with COVID-19 pneumonia and had shown significant regression in four patients after the therapy. None of our patients required supplemental oxygen or progressed to severe acute respiratory distress syndrome. All patients were discharged in a stable condition within 6 days of the therapy. ConclusionsThe neutralizing antibodies cocktail has shown encouraging results in our analysis in preventing progression to severe disease in patients with high-risk conditions.