scholarly journals Prolonged Symptom Onset to Admission Time is Associated with Severe Coronavirus Disease: A Meta combined Propensity‐adjusted Analysis

2021 ◽  
Author(s):  
Yingchao Guan ◽  
Chaojin Chen ◽  
Anping Guo ◽  
Jingru Wei ◽  
Jiahui Cai ◽  
...  
Keyword(s):  
Symptom Onset ◽  
Adjusted Analysis ◽  
Admission Time

Effect of motor symptom onset asymmetry on facial expressivity

2008 ◽  
Author(s):  
Anne N. Nisenzon ◽  
Utaka Springer ◽  
Ann Mikos ◽  
Michael S. Okun ◽  
Hubert Fernandez ◽  
...  
Keyword(s):  
Symptom Onset ◽  
Motor Symptom ◽  
Facial Expressivity

Understanding quality of life and treatment history of patients with Bertolotti syndrome compared with lumbosacral radiculopathy

2019 ◽  
Vol 31 (2) ◽  
pp. 222-228 ◽  
Author(s):  
Joshua L. Golubovsky ◽  
Arbaz Momin ◽  
Nicolas R. Thompson ◽  
Michael P. Steinmetz
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Propensity Score ◽  
Disc Herniation ◽  
Symptom Onset ◽  
Patient Reported Outcomes ◽  
Lumbosacral Radiculopathy ◽  
Patient Reported ◽  
Age And Sex

OBJECTIVEBertolotti syndrome is a rare spinal condition that causes low-back pain due to a lumbosacral transitional vertebra (LSTV), which is a pseudoarticulation between the fifth lumbar transverse process and the sacral ala. Bertolotti syndrome patients are rarely studied, particularly with regard to their quality of life. This study aimed to examine the quality of life and prior treatments in patients with Bertolotti syndrome at first presentation to the authors’ center in comparison with those with lumbosacral radiculopathy.METHODSThis study was a retrospective cohort analysis of patients with Bertolotti syndrome and lumbosacral radiculopathy due to disc herniation seen at the authors’ institution’s spine center from 2005 through 2018. Diagnoses were confirmed with provider notes and imaging. Variables collected included demographics, diagnostic history, prior treatment, patient-reported quality of life metrics, and whether or not they underwent surgery at the authors’ institution. Propensity score matching by age and sex was used to match lumbosacral radiculopathy patients to Bertolotti syndrome patients. Group comparisons were made using t-tests, Fisher’s exact test, Mann-Whitney U-tests, Cox proportional hazards models, and linear regression models where variables found to be different at the univariate level were included as covariates.RESULTSThe final cohort included 22 patients with Bertolotti syndrome who had patient-reported outcomes data available and 46 propensity score–matched patients who had confirmed radiculopathy due to disc herniation. The authors found that Bertolotti syndrome patients had significantly more prior epidural steroid injections (ESIs) and a longer time from symptom onset to their first visit. Univariate analysis showed that Bertolotti syndrome patients had significantly worse Patient-Reported Outcomes Measurement Information System (PROMIS) mental health T-scores. Adjustment for prior ESIs and time from symptom onset revealed that Bertolotti syndrome patients also had significantly worse PROMIS physical health T-scores. Time to surgery and other quality of life metrics did not differ between groups.CONCLUSIONSPatients with Bertolotti syndrome undergo significantly longer workup and more ESIs and have worse physical and mental health scores than age- and sex-matched patients with lumbosacral radiculopathy. However, both groups of patients had mild depression and clinically meaningful reduction in their quality of life according to all instruments. This study shows that Bertolotti syndrome patients have a condition that affects them potentially more significantly than those with lumbosacral radiculopathy, and increased attention should be paid to these patients to improve their workup, diagnosis, and treatment.

Assessment of Admission Time Cell Blood Count (CBC) Parameters in Predicting Post-primary Percutaneous Coronary Intervention TIMI Frame Count in Patients with ST-segment Elevation Myocardial Infarction

2020 ◽  
Vol 20 (3) ◽  
pp. 191-197
Author(s):  
Hossein Vakili ◽  
Isa Khaheshi ◽  
Amirsina Sharifi ◽  
Negin Nickdoost ◽  
Mohammad H. Namazi ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Platelet Count ◽  
P Value ◽  
Primary Pci ◽  
Blood Samples ◽  
Timi Frame Count ◽  
Admission Time ◽  
No Reflow ◽  
Corrected Timi Frame Count ◽  
No Reflow Phenomenon

Objectives: In this study, we aimed to assess the value of admission time CBC parameters in predicting post-primary PCI corrected TIMI frame count. Background: Recent years have witnessed a large series of studies evaluating different laboratory variables to predict no-reflow phenomenon following primary PCI (PPCI) in patients with STEMI. However, a general agreement about the most reliable predictor of the no-reflow phenomenon is challenging and also intriguing. Methods: The current study concluded 208 consecutive patients who underwent primary PCI for ST-Elevation Myocardial Infarction (STEMI) from January 2014 to February 2016. Blood samples were obtained after taking ECG. Complete blood samples were collected and analyzed within 5 minutes from sampling. Post-PCI corrected Thrombolysis in Myocardial Infarction (TIMI) frame count was determined by one interventional cardiologist blinded to patients’ clinical data. The correlation between admission time blood parameters and post-primary PCI corrected TIMI frame count in patients with STEMI were assessed. Results: Corrected TIMI frame count was positively correlated with WBC count (R: 0.18, P-value: <0.01), neutrophil count (R: 0.34, P-value: <0.01), and platelet count (R: 0.23, P-value: <0.01) and negatively correlated with lymphocyte count (R: -0.2, P-value: <0.01). Multiple linear regression results demonstrated that corrected TIMI frame count was positively correlated with neutrophil count (P < 0·001) and platelet count (P < 0·001) and negatively correlated with lymphocyte count (p=0.004). Conclusion: High counts of WBC, neutrophil, and platelet and low count of lymphocyte may be predictors of no-reflow in STEMI patients undergoing PPCI. The clinical significance of such predictive parameters becomes clear as we consider the treatment approach in STEMI patients. Appropriate risk stratification leads to better treatment planning and allocation of resources.

scholarly journals Infectivity of healthcare workers diagnosed with coronavirus disease 2019 (COVID-19) approximately 2 weeks after onset of symptoms: A cross-sectional study

2021 ◽  
pp. 1-3
Author(s):  
Yves Longtin ◽  
Hugues Charest ◽  
Caroline Quach ◽  
Patrice Savard ◽  
Mariana Baz ◽  
...  
Keyword(s):  
Symptom Onset ◽  
Healthcare Workers ◽  
Positive Culture ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Viral Shedding ◽  
Viral Culture ◽  
Respiratory Coronavirus ◽  
Respiratory Specimens

Abstract We performed viral culture of respiratory specimens in 118 severe acute respiratory coronavirus virus 2 (SARS-CoV-2)–infected healthcare workers (HCWs), ∼2 weeks after symptom onset. Only 1 HCW (0.8%) had a positive culture. No factors for prolonged viral shedding were identified. Infectivity is resolved in nearly all HCWs ∼2 weeks after symptom onset.

scholarly journals Acute reperfusion therapies for acute ischemic stroke patients with unknown time of symptom onset or in extended time windows: an individualized approach

2021 ◽  
Vol 14 ◽  
pp. 175628642110211
Author(s):  
Georgios Magoufis ◽  
Apostolos Safouris ◽  
Guy Raphaeli ◽  
Odysseas Kargiotis ◽  
Klearchos Psychogios ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Endovascular Treatment ◽  
Acute Ischemic Stroke ◽  
Symptom Onset ◽  
Time Windows ◽  
Intravenous Thrombolysis ◽  
Inclusion Criteria ◽  
Stroke Patients ◽  
Treatment Algorithms ◽  
Late Presenters

Recent randomized controlled clinical trials (RCTs) have revolutionized acute ischemic stroke care by extending the use of intravenous thrombolysis and endovascular reperfusion therapies in time windows that have been originally considered futile or even unsafe. Both systemic and endovascular reperfusion therapies have been shown to improve outcome in patients with wake-up strokes or symptom onset beyond 4.5 h for intravenous thrombolysis and beyond 6 h for endovascular treatment; however, they require advanced neuroimaging to select stroke patients safely. Experts have proposed simpler imaging algorithms but high-quality data on safety and efficacy are currently missing. RCTs used diverse imaging and clinical inclusion criteria for patient selection during the dawn of this novel stroke treatment paradigm. After taking into consideration the dismal prognosis of nonrecanalized ischemic stroke patients and the substantial clinical benefit of reperfusion therapies in selected late presenters, we propose rescue reperfusion therapies for acute ischemic stroke patients not fulfilling all clinical and imaging inclusion criteria as an option in a subgroup of patients with clinical and radiological profiles suggesting low risk for complications, notably hemorrhagic transformation as well as local or remote parenchymal hemorrhage. Incorporating new data to treatment algorithms may seem perplexing to stroke physicians, since treatment and imaging capabilities of each stroke center may dictate diverse treatment pathways. This narrative review will summarize current data that will assist clinicians in the selection of those late presenters that will most likely benefit from acute reperfusion therapies. Different treatment algorithms are provided according to available neuroimaging and endovascular treatment capabilities.

scholarly journals Recent smell loss is the best predictor of COVID-19 among individuals with recent respiratory symptoms

2020 ◽  
Author(s):  
Richard C Gerkin ◽  
Kathrin Ohla ◽  
Maria G Veldhuizen ◽  
Paule V Joseph ◽  
Christine E Kelly ◽  
...  
Keyword(s):  
Symptom Onset ◽  
Respiratory Symptom ◽  
Respiratory Illness ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Olfactory Loss ◽  
Visual Analog Scales ◽  
Cardinal Symptoms ◽  
Smell Loss

Abstract In a preregistered, cross-sectional study we investigated whether olfactory loss is a reliable predictor of COVID-19 using a crowdsourced questionnaire in 23 languages to assess symptoms in individuals self-reporting recent respiratory illness. We quantified changes in chemosensory abilities during the course of the respiratory illness using 0-100 visual analog scales (VAS) for participants reporting a positive (C19+; n=4148) or negative (C19-; n=546) COVID-19 laboratory test outcome. Logistic regression models identified univariate and multivariate predictors of COVID-19 status and post-COVID-19 olfactory recovery. Both C19+ and C19- groups exhibited smell loss, but it was significantly larger in C19+ participants (mean±SD, C19+: -82.5±27.2 points; C19-: -59.8±37.7). Smell loss during illness was the best predictor of COVID-19 in both univariate and multivariate models (ROC AUC=0.72). Additional variables provide negligible model improvement. VAS ratings of smell loss were more predictive than binary chemosensory yes/no-questions or other cardinal symptoms (e.g., fever). Olfactory recovery within 40 days of respiratory symptom onset was reported for ~50% of participants and was best predicted by time since respiratory symptom onset. We find that quantified smell loss is the best predictor of COVID-19 amongst those with symptoms of respiratory illness. To aid clinicians and contact tracers in identifying individuals with a high likelihood of having COVID-19, we propose a novel 0-10 scale to screen for recent olfactory loss, the ODoR-19. We find that numeric ratings ≤2 indicate high odds of symptomatic COVID-19 (4&lt;OR&lt;10). Once independently validated, this tool could be deployed when viral lab tests are impractical or unavailable.

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