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Central venous access is needed to facilitate chemotherapy for many cancer patients. Central venous catheter-related thrombosis (CVCT) is a major complication that can cause significant morbidity and mortality. We sought to explore the rate of CVCT in a general cancer population in Australia and to identify factors associated with increased risk of thrombosis.

This is a multi-centre retrospective cohort study.

We analysed key patient, treatment, and cancer-related factors for 317 patients with cancer and central venous catheters inserted for systemic therapy.

Symptomatic CVCT confirmed with imaging and management of patients with CVCT.

A total of 402 cases of central line insertion were analysed. Central venous catheter-related thrombosis occurred in 24 patients (6.0%). Having a peripherally inserted central catheter (PICC; HR = 3.78, 95% CI = 1.28-11.19,
 = .02) compared with an implantable port and a body mass index of ⩾25.0 kg/m
(HR = 3.60, 95% CI = 1.31-9.85,
 = .01) were independently associated with increased risk of thrombosis. Central venous catheter-related thrombosis was managed mostly with removal of the catheter (19 of 24 cases) and anticoagulation, including direct-acting oral anticoagulants in 5 patients.

This work explored rates of CVCT in a general cancer population, observing increased rates in those with PICCs or increased body mass index.
This work explored rates of CVCT in a general cancer population, observing increased rates in those with PICCs or increased body mass index.
Electrocardiogram (ECG) differentiation of wide complex tachycardia (WCT) into ventricular tachycardia (VT) and supraventricular tachycardia with aberration (SVT-A) is often challenging.

To determine if the presence of Q-waveforms (QS, Qr, QRs) in the inferior leads (II, III, aVF) can differentiate VT from SVT-A in a WCT compared to Brugada algorithm. find more We studied 2 inferior lead criteria namely QWC-A where all the inferior leads had a similar Q wave pattern and QWC-B where only lead aVF had a Q-waveform.

A total of 181 consecutive cases of WCT were identified, digitally separated into precordial leads and inferior leads and independently reviewed by 2 electrophysiologists. An electrocardiographic diagnosis of VT or SVT-A was assigned based on Brugada and inferior lead algorithms. Results were compared to the final clinical diagnosis.

VT was the final clinical diagnosis in 24.9% of ECG cohort (45/181); 75.1% (136/181) were SVT-A. QWC-A and QWC-B had a high specificity (93.3% and 82.8%) and accuracy (78.2% and 71.0%), but low sensitivity (33.3% and 35.6%) in differentiating VT from SVT-A. The Brugada algorithm yielded a sensitivity of 82.2% and specificity of 68.4%. Area under the curve in ROC analysis was highest with Brugada algorithm (0.75, 95% CI 0.69-0.81) followed by QWC-A (0.63, 95% CI 0.56-0.70) and QWC-B (0.59, 95% CI 0.52-0.67).

QWC-A and QWC-B criteria had poor sensitivity but high specificity in diagnosing VT in patients presenting with WCT. Further research combining this simple criterion with other newer diagnostic algorithms can potentially improve the accuracy of the overall diagnostic algorithm.
QWC-A and QWC-B criteria had poor sensitivity but high specificity in diagnosing VT in patients presenting with WCT. Further research combining this simple criterion with other newer diagnostic algorithms can potentially improve the accuracy of the overall diagnostic algorithm.Neurogenic orthostatic hypotension (nOH) is a subtype of orthostatic hypotension in which patients have impaired regulation of standing blood pressure due to autonomic dysfunction. Several primary and secondary causes of this disease exist. Patients may present with an array of symptoms making diagnosis difficult. This review article addresses the epidemiology, pathophysiology, causes, clinical features, and management of nOH. We highlight various pharmacological and non-pharmacological approaches to treatment, and review the recent guidelines and our approach to nOH.[This corrects the article DOI 10.2147/NSS.S229105.].
The aim of the study was to investigate the association between fruit and vegetable (FV) consumption and sleep duration and sleep quality in university students.

Using a cross-sectional study design, 21,027 university students with a median age of 20 years from 28 countries replied to self-reported measures of FV consumption and sleep duration and quality.

The prevalence of short and long sleep was 38.9% and 12.8%, respectively, and the prevalence of poor sleep quality was 9.6% and restless sleep 19.7%. There was a linear decrease in the prevalence of short sleep with increasing FV consumption beyond ≥2 FV servings/day (vs 0-1 FV servings/day). Consuming 2 FV servings/day (vs 0-1 FV servings/day) was associated with a 21% decreased (ARRR 0.79, 95% CI 0.70-0.80) and 7 or more FV servings/day with a 33% decreased odds (ARRR 0.67, 95% CI 0.55-0.81) for short sleep. Consuming 5 FV servings/day (vs 0-1 FV servings/day) was associated with a 34% decreased (ARRR 0.79, 95% CI 0.51-0.84) and 7 or more FV servings/day with a 34% decreased odds (ARRR 0.66, 95% CI 0.50-0.88) for long sleep. In the final adjusted logistic regression model, consuming 3 FV servings/day (vs 0-1 FV servings/day) was associated with a 49% decreased (AOR 0.51, 95% CI 0.42-0.0.62) and 7 or more FV servings/day with a 30% decreased odds (AOR 0.70, 95% CI 0.53-0.93) for poor sleep quality. Consuming 5 FV servings/day (vs 0-1 FV servings/day) was associated with a 34% decreased odds (AOR 0.66, 95% CI 0.54-0.81) for restless sleep.

The study extended previous findings of an association between inadequate FV consumption and short sleep and an inverse association between FV consumption and poor sleep quality and restless sleep.
The study extended previous findings of an association between inadequate FV consumption and short sleep and an inverse association between FV consumption and poor sleep quality and restless sleep.
Emergency room (ER) physicians need to face clinically suspected pneumonia patients in the front line of medical care and must do to give major medical interventions if patients show severity in pneumonia.

The data of pneumonia-related ER visit rates were categorized based on the International Classification of Disease (ICD) Codes (480-486) between 1998 and 2012. We use an age-period-cohort (APC) model to separate the pneumonia-related ER visit rates to identify the effects of age, time period, and cohort for a total of 1,813,588 patients.

The age effect showed high risk for pediatric and elder populations. There is a significant increasing period effect, which increased from 1998 to 2012. The cohort effect tended to show an oscillation from 1913 to 1988 and the reverse in a recent cohort. Furthermore, the visit rate of pneumonia showed an increase from 1998 to 2012 for both genders.

Age is a risk factor for pneumonia-related ER visits, especially for children and adolescents and older patients. Period and cohort effects were also found to increase the pneumonia visit rates.
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