Relevant Clinical Factors Research Articles

Red blood cell distribution width is associated with adverse cardiovascular events after septal myectomy.

BackgroundRed blood cell distribution width (RDW) is associated with increased morbidity and mortality in several cardiovascular diseases. However, the prognostic significance of RDW in patients with hypertrophic obstructive cardiomyopathy (HOCM) who underwent septal myectomy remains unclear as no studies have been conducted on this topic. This study aimed to assess the prognostic significance of RDW in these patients.MethodsA total of 867 adults with HOCM who underwent septal myectomy at Fuwai Hospital from 2011 to 2017 were retrospectively studied. All patients were assessed comprehensively, including their medical history, echocardiograms, and blood test results.ResultsThe median age of patients was 47.9 [interquartile range (IQR), 37.0–56.0] years and 61.5% of patients were men. During a median follow-up period of 32 (IQR, 17–53) months, 26 patients died and 23 had a cardiovascular death during follow-up. Compared to patients in the lowest RDW quartile, those in the highest quartile had a significantly lower 5-year survival free from all-cause and cardiovascular death (95.9% vs. 87.6%, P<0.001; 95.9% vs. 89.9%, P<0.001). Compared with lower RDW, higher RDW was significantly associated with all-cause and cardiovascular death after adjustment for age, sex, body mass index, and relevant clinical risk factors [per RDW standard deviation (SD) hazard ratio (HR) increase =1.76, 95% confidence interval (CI): 1.54–2.05, P<0.001; per RDW SD HR =1.91, 95% CI: 1.63–2.22, P for trend <0.001].ConclusionsHigher RDW is independently associated with all-cause and cardiovascular death in patients with HOCM after septal myectomy. Therefore, this readily available biomarker could be considered as an additive biomarker for risk stratification in these patients.

Comparison of three lymph node staging methods for predicting outcome in breast cancer patients with mastectomy.

BackgroundAxillary lymph node (ALN) staging is essential in predicting the clinical outcome of breast cancer (BC) patients. Traditionally, it follows the tumor–node-metastasis (TNM) staging, but its accuracy needs further improvement.MethodsA total of 9,616 BC patients from the Surveillance, Epidemiology, and End Results (SEER) database and 675 patients from the First Affiliated Hospital of China Medical University underwent mastectomy together with ALN dissection were reviewed. Univariate and multivariate logistic analyses were conducted to find the most meaningful factors relevant to prognosis.ResultsAfter univariate and multivariate analyses, age, race, primary site, radiation, chemotherapy, grade, T-stage, estrogen receptor (ER), progesterone receptor (PR), total number of positive lymph nodes (pN), positive lymph node ratio (LNR) and log odds of positive LNs (LODDS) were found to be significantly associated with overall survival (OS). Using these non-LN risk factors, we further compared the efficacy of three different ALN staging methods in prognosis via nomograms. Harrell’s concordance index (C-index) and Akaike Information Criterion (AIC) were used to measure nomogram performance of the ALN staging methods: pN: C-index=0.687 (95% CI: 0.678–0.696), AIC =61,398.24; LNR: C-index =0.691 (95% CI: 0.683–0.701), AIC =61,313.56; and LODDS: C-index =0.691 (95% CI: 0.682–0.700), AIC =61,315.60. We found that the nomogram incorporating LODDS had better predictive ability compared with other two methods. Furthermore, an external validation revealed a C-index of 0.753 (95% CI: 0.690–0.816) for the Asian population, which indicates the nomogram based on LODDS may have universality for both Western and Asian populations.ConclusionsCompared with pN and LNR, LODDS showed higher homeostasis in LN evaluation, and showed marked efficacy in evaluating survival differences among patients with negative LN staging. We constructed a BC prognosis model by incorporating highly relevant clinical pathological factors and a new method of LN staging, which may greatly aid in guiding postoperative treatment.

Anatomy of the posterolateral spinal epidural ligaments.

Background: The epidural ligaments (ELs) (of Hofmann) were described as fibrous bands interconnecting the ventrolateral spinal dura and the posterior longitudinal ligament below L1. They are hardly ever discussed in the literature or considered in hypothesis-driven basic science experiments or spine biomechanical models.Methods: Intraoperative photographs were obtained to illustrate a group of posterolateral spinal ELs. In addition, electronic database searches (PubMed, Ovid Embase, and SCOPUS) were utilized to summarize the anatomy, and relevant clinical and surgical factors impacting these ELs.Results: ELs attach circumferentially at most spinal levels. They anchor the nerve root sleeves ventrally, and therefore, may play a role in the some idiopathic neurologic deficits (e.g., postoperative radiculopathies, C5 palsies) in patients without radiological compression. The posterolateral ELs originate on the dura dorsal to the nerve root sleeves and insert on the ipsilateral lamina, interlaminar ligament, and facet capsule. They appear to be continuous with the peridural membrane, a fibrovascular sheath that surrounds the thecal sac and serves as a scaffold for the internal vertebral venous plexus of Batson and epidural fat.Conclusion: The spinal ELs should be divided sharply during surgery to prevent durotomies, especially in patients with advanced spondylosis and facet arthropathy. Disconnecting these ligaments releases the thecal sac laterally and ventrally, allowing for medial mobilization when performing discectomies or for working in the ventral epidural space.

Model-based meta-analysis of the time to first acute urinary retention or benign prostatic hyperplasia-related surgery in patients with moderate or severe symptoms.

AimsCombination therapy of 5α‐reductase inhibitor and α‐blocker is a guideline‐endorsed therapeutic approach for patients with moderate‐to‐severe lower urinary tract symptoms or benign prostatic hyperplasia (LUTS/BPH) who are at risk of disease progression. We aimed to disentangle the contribution of clinical and demographic baseline characteristics affecting the risk of acute urinary retention or BPH‐related surgery (AUR/S) from the effect of treatment with drugs showing symptomatic and disease‐modifying properties.MethodsA time‐to‐event model was developed using pooled data from patients (n = 10 238) enrolled into six clinical studies receiving placebo, tamsulosin, dutasteride or tamsulosin‐dutasteride combination therapy. A parametric hazard function was used to describe the time to first AUR/S. Covariate model building included the assessment of relevant clinical and demographic factors on baseline hazard. Predictive performance was evaluated by graphical and statistical methods.ResultsAn exponential hazard model best described the time to first AUR/S in this group of patients. Baseline International Prostate Symptom Score, prostate‐specific antigen, prostate volume and maximum urine flow were identified as covariates with hazard ratio estimates of 1.04, 1.08, 1.01 and 0.91, respectively. Dutasteride monotherapy and tamsulosin‐dutasteride combination therapy resulted in a significant reduction in the baseline hazard (56.8% and 66.4%, respectively). By contrast, the effect of tamsulosin did not differ from placebo.ConclusionsOur analysis showed the implications of disease‐modifying properties of dutasteride and tamsulosin‐dutasteride combination therapy for the risk of AUR/S. It also elucidated the contribution of different baseline characteristics to the risk of these events. The use of tamsulosin monotherapy (symptomatic treatment) has no impact on individual long‐term risk.

Associations of Insomnia Symptoms With Cognition in Persons With Heart Failure

Although cognitive impairment is common among persons with heart failure and negatively impacts self-care, hospitalization, and mortality, the associations between cognitive impairment and insomnia symptoms are not clearly understood. The purpose of this study was to explore these associations and examine if they are maintained after adjusting for relevant sociodemographic, clinical, and lifestyle factors. Guided by the Neurocognitive model of insomnia and sleep and the self-care conceptual model, a cross-sectional data analysis using parametric testing was conducted on the Health and Retirement Study wave 2016. Difficulty initiating sleep and early morning awakening, but not difficulty maintaining sleep were significantly associated with poorer cognitive performance in the bivariate and multivariate analysis. Our results are suggestive of different phenotypes of insomnia symptoms that may have different associations with cognition in persons with heart failure. Further research using objective measurements of insomnia symptoms and detailed neuropsychiatric testing of cognition is needed to confirm this conclusion.

Disparities in Characteristics, Access to Care, and Oncologic Outcomes in Young-Onset Colorectal Cancer at a Safety-Net Hospital.

PURPOSE:Young-onset colorectal cancer is an emerging cause of significant morbidity and mortality globally. Despite this, limited data exist regarding clinical characteristics and outcomes, particularly in safety-net populations where access to care is limited. We aimed to study disparities in clinical characteristics and outcomes in patients with young-onset colorectal cancer in the safety-net setting.METHODS:We performed a retrospective review of patients < 50 years old diagnosed and/or treated for colorectal cancer between 2001 and 2017 at a safety-net hospital. Kaplan-Meier and Cox regression models were constructed to compare overall survival (OS), progression-free survival (PFS), and relapse-free survival (RFS) by race and ethnicity, stratifying for relevant clinical and pathologic factors.RESULTS:A total of 395 young-onset patients diagnosed at a safety-net hospital were identified and 270 were included in the analysis (49.6% Hispanic, 25.9% non-Hispanic Black, 20.0% non-Hispanic White, and 4.4% other). Non-Hispanic White race was independently associated with worse OS (hazzard ratio [HR], 0.53; 95% CI, 0.29 to 0.97), as were lack of insurance, higher clinical stage, and mismatch repair proficiency. There was no significant difference seen in PFS or RFS between racial and ethnic groups.CONCLUSION:Non-Hispanic White race or ethnicity was found to be independently associated with worse OS in a safety-net population of patients with young-onset colorectal cancer. Other independent predictors of worse OS include higher stage, lack of insurance, and mismatch repair proficiency.

Statin Use in Older Adults with Stable Atherosclerotic Cardiovascular Disease.

Older adults (>75 years of age) represent two-thirds of atherosclerotic cardiovascular disease (ASCVD) deaths. The 2013 and 2018 American multi-society cholesterol guidelines recommend using at least moderate intensity statins for older adults with ASCVD. We examined annual trends and statin prescribing patterns in a multiethnic population of older adults with ASCVD. Retrospective longitudinal study using electronic health record (EHR) data from 2007 to 2018. A large multi-specialty health system in Northern California. A total of 24,651 adults older than 75 years with ASCVD. Statin prescriptions for older adults with known ASCVD were trended over time. Multivariable regression models were used to identify predictors of statin prescription (logistic) after controlling for relevant demographic and clinical factors. The study cohort included 24,651 patients older than 75 years; 48% were women. Although prescriptions for moderate/high intensity statins increased over time for adults over 75, fewer than half of the patients (45%) received moderate/high intensity statins in 2018. Women (odds ratio (OR) = 0.77; 95% confidence interval (CI) = 0.74, 0.80), patients who had heart failure (OR = 0.69; 95% CI = 0.65, 0.74), those with dementia (OR = 0.88; 95% CI = 0.82, 0.95) and patients who were underweight (OR = 0.64; 95% CI = 0.57, 0.73) were less likely to receive moderate/high intensity statins. Despite increasing prescription rates between 2007 and 2018, guideline-recommended statins remained underused in older adults with ASCVD, with more pronounced disparities among women and those with certain comorbidities. Future studies are warranted to examine reasons for statin underuse in older adults with ASCVD.

Association of physician experience with a higher prescription rate of anti-influenza agents in low-risk patients.

During the influenza season, most patients suspected of having influenza undergo rapid influenza diagnostic tests (RIDTs) in Japan despite their low sensitivity. However, the physician's actual rationale for prescribing antivirals, besides the results of RIDTs, remains poorly understood. Our study sought to identify the role of clinical information and physicians' experience in the initiation of anti-influenza agents. We retrospectively reviewed 380 patients who underwent RIDTs at the emergency department of our hospital from September 2018 to May 2019. Data regarding sex, age, etc., which could affect the decision of prescribing antivirals, were extracted from medical records. We performed logistic regression analysis to analyze the concurrent effect of potentially relevant clinical factors, results of RIDTs, and the physician's status on antiviral prescription. Multivariable analysis revealed that a positive RIDT had the largest effect on antiviral prescription, followed by physician status, high regional influenza activity, and patients' presentation within 12h of symptom onset. Patient's age, comorbidities, and presentation after 48h of symptom onset were not associated with antiviral treatment. Physicians with more years of experience were significantly more likely to prescribe antivirals for patients with low risk of complications. Our findings revealed the physicians' rationale for initiating antiviral treatment and the discrepancy with guideline indications of antivirals, which is the patient's age and comorbidities. Physicians, especially those with more than 3years of experience, frequently prescribed antivirals for patients with low risk of complications; thus, educational interventions against this population could be useful to improve this situation.

Computational intelligence identifies alkaline phosphatase (ALP), alpha-fetoprotein (AFP), and hemoglobin levels as most predictive survival factors for hepatocellular carcinoma.

Liver cancer kills approximately 800 thousand people annually worldwide, and its most common subtype is hepatocellular carcinoma (HCC), which usually affects people with cirrhosis. Predicting survival of patients with HCC remains an important challenge, especially because technologies needed for this scope are not available in all hospitals. In this context, machine learning applied to medical records can be a fast, low-cost tool to predict survival and detect the most predictive features from health records. In this study, we analyzed medical data of 165 patients with HCC: we employed computational intelligence to predict their survival, and to detect the most relevant clinical factors able to discriminate survived from deceased cases. Afterwards, we compared our data mining results with those obtained through statistical tests and scientific literature findings. Our analysis revealed that blood levels of alkaline-phosphatase (ALP), alpha-fetoprotein (AFP), and hemoglobin are the most effective prognostic factors in this dataset. We found literature supporting association of these three factors with hepatoma, even though only AFP has been used in a prognostic index. Our results suggest that ALP and hemoglobin can be candidates for future HCC prognostic indexes, and that physicians could focus on ALP, AFP, and hemoglobin when studying HCC records.

Valores pronósticos de la captación en estrella de 131I en pacientes con cáncer diferenciado de tiroides

ObjectiveAfter 131I treatment in patients with differentiated thyroid carcinoma (DTC), we sometimes find a star-shaped intense uptake of 131I on therapeutic whole body scans (Rx-WBS), called star artifacts. Therefore, we analyzed the relevant clinical factors and prognostic value of star artifacts in DTC patients. Methods809 DTC patients who received 131I treatment were retrospectively evaluated and divided into 2 groups of patients with and without star artifacts. We evaluated the therapeutic response which was divided into excellent response (ER), biochemical incomplete response (BIR), indeterminate response (IR), and structural incomplete response (SIR). Clinical factors for the presence of star artifacts were analyzed. We also compared the rate of ER, BIR, IR, SIR and recurrence rate between group 1 and group 2. ResultsThe major clinical factors included stimulated thyroglobulin (sTg)>1.8ng/ml, 24h radioiodine uptake (RAIU)>2.2%, and positive 99mTcO4− thyroid imaging for the presence of star artifacts. In patients with sTg levels>10ng/ml, patients in group 1 had a higher rate of ablation success and ER than patients in group 2 (80.2% vs 65.6%, P=0.038, 31.6% vs 13.1%, P=0.008, respectively) and had a similar rate of BIR, IR, SIR. Recurrence rate was similar between group 1 and group 2 (5.2% vs 3.1%, P=0.13). ConclusionMore remnant thyroid tissue is one of the factors associated with the presence of star artifacts on Rx-WBS. Patients with star artifacts exhibit a better therapeutic response (ER) when sTg levels are >10ng/ml. However, star artifacts have no effect on the recurrence rate.

EpiTrack is a feasible tool for assessing attention and executive functions in patients with refractory epilepsy

ObjectiveThe purpose of this cross-sectional retrospective study was to utilize EpiTrack to assess cognitive performance within the domain of attention and executive functions in patients with refractory epilepsy in consideration for treatment interventions either with antiepileptic drug (AED) changes and/or neuromodulation therapies. We also aimed to identify the relevant clinical and treatment factors possibly affecting EpiTrack performance. MethodsThe patient group consisted of 95 consecutive refractory epilepsy patients who were evaluated with EpiTrack. Based on their EpiTrack performance, the patients could be categorized as cognitively unimpaired, mildly, or severely impaired. The patients were also divided into three groups based on the planned treatment modification: AED group (n = 38) with only AED treatment, vagal nerve stimulation (VNS) group (n = 40) and deep-brain stimulation (DBS) group (n = 17). However, the effect of planned interventions was not the subject of this study. We retrospectively reviewed the medical records for detailed clinical characterization. ResultsEpiTrack performance was severely impaired in 48 (50.5%), mildly impaired in 22 (23.2%) and unimpaired in 25 (26.3%) of the patients. The DBS group had significantly lower EpiTrack scores (mean (SD) and median, 25.5 (4.81) and 27.0, respectively) compared to the AED group (28.6 (6.2) and 30.0, respectively, p = 0.049). Sixty-three (66.3%) of the whole study population had more than 2 AEDs. When comparing EpiTrack scores between patient groups based on the number of AEDs administered, there was a trend toward better performance in EpiTrack with 2 AEDs as compared to 3–4 AEDs. ConclusionsDeficits in attention and executive functions were frequent among patients with refractory epilepsy. Deficits were evident in all three treatment groups being most severe in the DBS group reflecting the patient selection. Furthermore, the effect of AED burden on executive functions was remarkable since two thirds of the patients had more than two AEDs and the deficits were more prominent among those with a higher AED burden. These results highlight the benefits of a feasible screening tool such as EpiTrack for assessing attention and executive functions when optimizing the treatment effects of neurostimulation therapies on cognition, and when evaluating the impacts of the AED burden.

Addressing the quality of hospital care of colorectal cancer patients undergoing surgery: what did we learn from the national bowel cancer audit?

Background: The National Bowel Cancer Audit (NBOCA) is a national annual audit that records data of patients diagnosed with colorectal cancer in the United Kingdom to facilitate the improvement of care. However, recently published data showed a diverse range in the quality of care among different hospitals. This study aims to identify the most relevant clinical factors in the NBOCA that contribute to the variation in the standard of care provided to colorectal cancer patients undergoing surgery in different hospitals.

Epileptiform Abnormalities in Acute Ischemic Stroke: Impact on Clinical Management and Outcomes.

Studies examining seizures (Szs) and epileptiform abnormalities (EAs) using continuous EEG in acute ischemic stroke (AIS) are limited. Therefore, we aimed to describe the prevalence of Sz and EA in AIS, its impact on anti-Sz drug management, and association with discharge outcomes. The study included 132 patients with AIS who underwent continuous EEG monitoring >6 hours. Continuous EEG was reviewed for background, Sz and EA (lateralized periodic discharges [LPD], generalized periodic discharges, lateralized rhythmic delta activity, and sporadic epileptiform discharges). Relevant clinical, demographic, and imaging factors were abstracted to identify risk factors for Sz and EA. Outcomes included all-cause mortality, functional outcome at discharge (good outcome as modified Rankin scale of 0-2 and poor outcome as modified Rankin scale of 3-6) and changes to anti-Sz drugs (escalation or de-escalation). The frequency of Sz was 7.6%, and EA was 37.9%. Patients with Sz or EA were more likely to have cortical involvement (84.6% vs. 67.5% P = 0.028). Among the EAs, the presence of LPD was associated with an increased risk of Sz (25.9% in LPD vs. 2.9% without LPD, P = 0.001). Overall, 21.2% patients had anti-Sz drug changes because of continuous EEG findings, 16.7% escalation and 4.5% de-escalation. The presence of EA or Sz was not associated with in-hospital mortality or discharge functional outcomes. Despite the high incidence of EA, the rate of Sz in AIS is relatively lower and is associated with the presence of LPDs. These continuous EEG findings resulted in anti-Sz drug changes in one-fifth of the cohort. Epileptiform abnormality and Sz did not affect mortality or discharge functional outcomes.

Estimating the health-related quality of life of kidney stone patients: initial results from the Wisconsin Stone Quality of Life Machine-Learning Algorithm (WISQOL-MLA).

To build the Wisconsin Stone Quality of Life Machine-Learning Algorithm (WISQOL-MLA) to predict urolithiasis patients' health-related quality of life (HRQoL) based on demographic, symptomatic and clinical data collected for the validation of the Wisconsin Stone Quality-of-Life (WISQOL) questionnaire, an HRQoL measurement tool designed specifically for patients with kidney stones. We used data from 3206 stone patients from 16 centres. We used gradient-boosting and deep-learning models to predict HRQoL scores. We also stratified HRQoL scores by quintile. The dataset was split using a standard 70%/10%/20% training/validation/testing ratio. Regression performance was evaluated using Pearson's correlation. Classification was evaluated with an area under the receiver-operating characteristic curve (AUROC). Gradient boosting obtained a test correlation of 0.62. Deep learning obtained a correlation of 0.59. Multivariate regression achieved a correlation of 0.44. Quintile stratification of all patients in the WISQOL dataset obtained an average test AUROC of 0.70 for the five classes. The model performed best in identifying the lowest (0.79) and highest quintiles (0.83) of HRQoL. Feature importance analysis showed that the model weighs in clinically relevant factors to estimate HRQoL, such as symptomatic status, body mass index and age. Harnessing the power of the WISQOL questionnaire, our initial results indicate that the WISQOL-MLA can adequately predict a stone patient's HRQoL from readily available clinical information. The algorithm adequately relies on relevant clinical factors to make its HRQoL predictions. Future improvements to the model are needed for direct clinical applications.

Dose-Response Relationship in Stereotactic Body Radiation Therapy for Hepatocellular Carcinoma: A Pooled Analysis of an Asian Liver Radiation Therapy Group Study

Despite the worldwide implementation of stereotactic body radiation therapy (SBRT) for hepatocellular carcinoma (HCC), there is a lack of consensus guideline on prescription dose. Herein, this multinational study aimed to investigate the effects of the prescribed radiation dose on oncologic outcomes of SBRT for HCC. The multi-institutional retrospective cohort included 510 patients treated with SBRT between 2010 and 2016. All relevant clinical factors and factors related to SBRT were analyzed to evaluate freedom from local progression (FFLP) and overall survival (OS). Based on a biologically effective dose (BED) cutoff value of 100 Gy, 198 tumors were selected from each group in propensity score matching (PSM). Baseline characteristics in the BED <100 Gy group were unfavorable (Child-Pugh class B, 19%; advanced stage, 72%; median tumor size was 4 cm) compared with the BED ≥100 Gy group. With a median follow-up of 22 (interquartile range, 9.8-37.6) months, the 2-year FFLP and OS rates were 77% and 73%, respectively. Patients treated with a BED ≥100 Gy showed better rates of 2-year FFLP and OS than patients treated with a BED <100 Gy (FFLP, 89% vs 69%; OS, 80% vs 67%; P < .001). In the multivariable analysis before and after PSM, BED ≥100 Gy was identified as the main prognostic factor for both FFLP and OS (P < .01). Additionally, a dose-response relationship was observed between FFLP and BED (odds ratio, 0.92 per 5 Gy, P = .048). A BED ≥100 Gy was significantly associated with outcomes, and a dose-response relationship was observed between local tumor progression and BED. Given that SBRT is being increasingly used in HCC, detailed consensus guidelines regarding SBRT dose prescription should be established.

Derivation and Validation of a Predictive Score for Disease Worsening Inpatients with COVID-19

Introduction: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes coronavirus disease. COVID-19 is associated with excessive inflammation, platelet activation, endothelial dysfunction, blood coagulation activation and fibrin formation. Current management of patients hospitalized in an intensive care unit (ICU) is based on supportive care and the mortality rate is high. Blood hypercoagulability -documented by increase in D-Dimers and decrease in antithrombin (AT) -is frequently encountered among COVID-19 patients.Aim: Identification of patients with COVID-19 being at high risk for clinical deterioration is a challenging issue for an earlier adapted treatment and positive clinical outcome. we aimed to identify the most relevant clinical and haematological risk factors for worsening of COVID-19 in hospitalized patients by and constructing an accurate risk assessment tool, COMPASS-COVID-19.Methods: Patients with confirmed COVID-19 (n=430) were divided in derivation (n=310) and validation (n=120) cohorts. They were stratified to those hospitalized at the conventional ward (C-group) and those with worsening disease (W-group) admitted in ICU. The study endpoint was disease worsening. All patients were routinely evaluated with full blood count, prothrombin time, fibrinogen, D-Dimers, antithrombin and protein C activity. Data from the first hospitalization day at the conventional ward or the ICU were analyzed. Cardiovascular risk factors and comorbidities were routinely registered.Results: In the derivation cohort, compensated DIC was diagnosed in 8.2% of patients in the C-group and in 28.2% of patients in the W-group (p=0.001). Compared to the C-group, the patients in the W-group had significantly lower levels of AT, PC, platelets, lymphocyte, monocyte and red blood cell counts as well as, hemoglobin and hematocrit. They had significantly higher levels of fibrinogen, DDimers, white blood cells and neutrophils counts. No difference was noted in eosinophil and basophil counts. Hematological predictors for disease worsening: Increase of fibrinogen (OR= 9.50, 95% CI:2.23-40.54) and D-Dimer levels (OR=7.65, 95% CI:2.67-21.87), a platelet count lower than 100x109/L (OR=7.60, 95% CI:1.55-37.35) and a positive compensated DIC-ISTH score (OR=4.58, CI:2.09-10.07) were major determinants of disease worsening risk. Deficiency of AT activity (OR = 2.13, 95%CI: 1.18-3.85), PT prolongation (OR=2.43, 95% CI:1.15-5.13), leukocytosis (OR=1.86, 95%CI:1.04-3.33), lymphopenia with lymphocyte count lower than 1.5 G/L (OR=3.37, CI:1.58-7.21) were significant risk factors for worsening disease. The multivariate analysis retained obesity- BMI≥30, (OR=6.56, 95%CI: 2.98-14.46; p<0.001), male gender (OR=2.59, 95% CI:1.29-5.21; p=0.007), compensated DICISTH score ≥5 (OR=2.58, 95% CI:1.07-6.21; p=0.034), lymphocyte count <1 G/L (OR=2.21, 95% CI:1.17-4.19; p=0.015) and Hb<11 g/dL (OR=2.25, 95% CI: 1.13-4.48; p=0.021) as significant predictors of worsening disease . The score at 18 points cut-off value identified as high risk for disease worsening 90% of patients at the W-group and 38% of the patients at the C-group. The sensitivity and the specificity of the score were 94% and 58% respectively and the negative and positive predictive values were 96% and 45% respectively.Conclusion: The COMPASS-COVID- 19 score derived from multivariate analysis and includes obesity, gender, hemoglobin, lymphocyte and the cDIC-ISTH score (including platelet count, prothrombin time, D-Dimers antithrombin and protein C levels). The score has a very good discriminating capacity to stratify patients at high and low risk for worsening disease, with AUC value at 0.77, sensitivity 81% and specificity 60%. Application of the COMPASS-COVID-19 score at the validation cohort showed 96% sensitivity. The COMPASS-COVID-19 score is an accurate clinical decision tool for an easy identification of COVID-19 patients being at high risk for diseaseDisclosuresNo relevant conflicts of interest to declare.

Rituximab Monotherapy Compared to Observation in Patients with Newly Diagnosed Asymptomatic Advanced Stage Follicular Lymphoma: A Retrospective Population-Based Analysis

Rituximab Monotherapy Compared to Observation in Patients with Newly Diagnosed Asymptomatic Advanced Stage Follicular Lymphoma: A Retrospective Population-Based Analysis

Food insecurity and neurocognitive function among women living with or at risk for HIV in the United States

Neurocognitive impairment (NCI) persists among women living with HIV. Food insecurity is also common among women and may be an important modifiable contributor of NCI. The goal of this study was to determine the association of food insecurity with neurocognitive function among women living with or without HIV. From 2013 to 2015, we analyzed data from a cross-sectional sample from the Women's Interagency HIV Study (WIHS). Measures included food insecurity and a comprehensive neuropsychological test battery assessing executive function, processing speed, attention/working memory, learning, memory, fluency, and motor function. We conducted multivariable linear regressions to examine associations between food insecurity and domain-specific neurocognitive performance, adjusting for relevant sociodemographic, behavioral, and clinical factors. Participants (n=1,324) were predominantly HIV seropositive (68%), Black/African-American (68%) or Hispanic (16%), and low income (48% reported <$12,000/y), with a median age of 49.6 y (IQR=43.1, 55.5). Approximately one-third (36%, n=479) were food insecure. Food insecurity was associated with poorer executive function (b = -1.45, SE=0.58, P≤0.01) and processing speed (b = -1.30, SE=0.59, P≤0.05). HIV serostatus modified the association between food insecurity and learning, memory, and motor function (P values <0.05). Food insecurity was positively associated with learning among women living with HIV (b=1.58, SE=0.77, P≤0.05) and negatively associated with motor function among HIV-negative women (b = -3.57, SE=1.08, P≤0.001). Food insecurity was associated with domain-specific neurocognitive function in women, and HIV serostatus modified associations. Food security may be an important point of intervention for ethnically diverse women with low socioeconomic status. Longitudinal studies are warranted to determine potential pathways by which food insecurity is associated with neurocognitive function among women living with or at risk for HIV.

The Effect of PTSD Symptom Change on Suicidal Ideation in a Combined Military and Civilian Sample Engaged in Cognitive Processing Therapy

In light of the well-established relationship between posttraumatic stress disorder (PTSD) and suicidal ideation (SI), there has been a push for treatments that simultaneously improve symptoms of PTSD and decrease SI. Using data from a randomized controlled hybrid implementation-effectiveness trial, the current study investigated the effectiveness of Cognitive Processing Therapy (CPT; Resick, Monson, & Chard, 2016) on PTSD and SI. The patient sample (N = 188) was diverse in military and veteran status, gender, and comorbidity, and 73% of the sample endorsed SI at one or more points during CPT. Participants demonstrated significant improvement in SI over the course of CPT. Multilevel growth curve modeling revealed a significant association between PTSD symptom change and change in SI. Results from cross-lagged multilevel regressions indicated that PTSD symptoms predicted SI in the next session, yet SI in a given session did not predict PTSD symptoms in the next session. Potentially relevant clinical factors (i.e., military status, gender, depression diagnosis, baseline SI, study consultation condition) were not associated with the relationship between PTSD symptoms and SI. These results add to the burgeoning literature suggesting that evidence-based treatments for PTSD, like CPT, reduce suicidality in a range of individuals with PTSD, and that this reduction is predicted by improvements in PTSD symptoms.

COVID-19-Associated Candidiasis (CAC): An Underestimated Complication in the Absence of Immunological Predispositions?

The recent global pandemic of COVID-19 has predisposed a relatively high number of patients to acute respiratory distress syndrome (ARDS), which carries a risk of developing super-infections. Candida species are major constituents of the human mycobiome and the main cause of invasive fungal infections, with a high mortality rate. Invasive yeast infections (IYIs) are increasingly recognized as s complication of severe COVID-19. Despite the marked immune dysregulation in COVID-19, no prominent defects have been reported in immune cells that are critically required for immunity to Candida. This suggests that relevant clinical factors, including prolonged ICU stays, central venous catheters, and broad-spectrum antibiotic use, may be key factors causing COVID-19 patients to develop IYIs. Although data on the comparative performance of diagnostic tools are often lacking in COVID-19 patients, a combination of serological and molecular techniques may present a promising option for the identification of IYIs. Clinical awareness and screening are needed, as IYIs are difficult to diagnose, particularly in the setting of severe COVID-19. Echinocandins and azoles are the primary antifungal used to treat IYIs, yet the therapeutic failures exerted by multidrug-resistant Candida spp. such as C. auris and C. glabrata call for the development of new antifungal drugs with novel mechanisms of action.