Impact of Weight Loss During Chemotherapy in Chinese Patients with Unresectable Pancreatic Cancer

Background: Weight loss is frequently observed in pancreatic cancer patients. We aimed to study the prognostic impacts of weight loss early during chemotherapy.

Methods: A total of 72 patients of Chinese ethnicity with unresectable pancreatic cancer who underwent chemotherapy were reviewed. Critical weight loss (CWL) was defined as weight loss ≥ 5% within one month after treatment. The prognostic impact of weight loss and CWL were analyzed.

Results: 47 patients (65.3%) had weight loss after one month of treatment, with 14 (19.4%) suffering from CWL. Baseline characteristics were similar between patients with and without CWL. The median OS and Time-to-treatment-failure (TTF) of patients with CWL were shorter than those without CWL (OS: 4.8?months [CWL] versus [vs.] OS 7.1?months [No CWL]; TTF 1.6?months [CWL] vs. 3.2?months [No CWL]; both P?<?0.01). CWL was an independent adverse prognosticator for OS (Hazard Ratio [HR]?=?2.50; P?=?0.01) and TTF (HR = 2.71; P?<?0.01). Other independent prognosticators for OS were serum albumin <35?mg/dl and CA19-9?≥?1000?IU/ml, while CWL was the only independent prognosticator for TTF (HR 2.71 [95% CI 1.33–5.52]; P?<?0.01).

Conclusions: Development of CWL in early course of chemotherapy was associated with worse prognosis in Chinese patients with unresectable pancreatic cancers.     

Optimal parameter selection problem with application to the synchronization of delivery cycles in a supply chain with Wiener process

In this paper, we use optimal parameter selection technique to develop two models involving single‐vendor–multiple‐buyer supply chain, which are called the dynamic independent optimization (DIO) model and the dynamic synchronized cycles (DSC) model, respectively. These models are, respectively, similar to the traditional static independent policy model and the traditional static synchronized cycle model, except that the deterministic demands of the buyers in the above two static models are now being replaced by the stochastic demands satisfying a Wiener process, which have more real‐life applications. Similar to the above static synchronized cycles model, the synchronization of the supply chain in our DSC model is also achieved by scheduling the delivery days of the buyers and coordinating them with the vendor's production cycle. Finding the optimal expected system costs of the DIO model and the DSC model involves solving optimal parameter selection problems governed by ordinary differential equations, whose final times are continuous decision variables and discrete decision variables, respectively. Computational methods have been developed for solving these problems. Numerical results show that the coordinated policy is better than the independent optimization policy, in terms of minimizing the expected system cost of the entire supply chain. Sensitivity analysis is performed to test the effect of changing the cost coefficients and the value on the performances of these models, where is the ratio of the total mean demand rate of all the buyers over the vendor's production rate.     

Prospective validation of the Parkland Grading Scale for Cholecystitis

Background

The Parkland Grading Scale for Cholecystitis (PGS) was developed as an intraoperative grading scale to stratify gallbladder (GB) disease severity during laparoscopic cholecystectomy (LC). We aimed to prospectively validate this scale as a measure of LC outcomes.

Recent trends in the prevalence of Helicobacter Pylori in symptomatic children: A 12-year retrospective study in a tertiary centre

Objective

Helicobacter pylori infection is common among Asians. However, evidence in the recent years has demonstrated a decrease in the prevalence of H. pylori infection among children and adults worldwide. Our aim was to update its prevalence in symptomatic children in our locality in the recent 12?years and compared to the results of our previous review published in 2005.

Temporal Trends of Women Enrollment in Major Cardiovascular Randomized Clinical Trials

Background

Although it is known that women do not participate in trials as frequently as men, there are limited recent data examining how women recruitment has changed over time.

Clinical Course of Patients With Worsening Heart Failure With Reduced Ejection Fraction

Background

Epidemiology of patients with worsening heart failure and reduced ejection fraction (HFrEF) in the real-world setting is not well described.

Profiles of sleep changes during the COVID‐19 pandemic: Demographic,behavioural and psychological factors

This study aimed to evaluate changes in sleep during the COVID‐19 outbreak, and used data‐driven approaches to identify distinct profiles of changes in sleep‐related behaviours. Demographic, behavioural and psychological factors associated with sleep changes were also investigated. An online population survey assessing sleep and mental health was distributed between 3 April and 24 June 2020. Retrospective questions were used to estimate temporal changes from before to during the outbreak. In 5,525 Canadian respondents (67.1% females, 16–95 years old: Mean ± SD = 55.6 ± 16.3 years), wake‐up times were significantly delayed relative to pre‐outbreak estimates (p < .001,  = 0.04). Occurrences of clinically meaningful sleep difficulties significantly increased from 36.0% before the outbreak to 50.5% during the outbreak (all p < .001, g ≥ 0.27). Three subgroups with distinct profiles of changes in sleep behaviours were identified: “Reduced Time in Bed”, “Delayed Sleep” and “Extended Time in Bed”. The “Reduced Time in Bed” and “Delayed Sleep” subgroups had more adverse sleep outcomes and psychological changes during the outbreak. The emergence of new sleep difficulties was independently associated with female sex, chronic illnesses, being employed, family responsibilities, earlier wake‐up times, higher stress levels, as well as heavier alcohol use and television exposure. The heterogeneity of sleep changes in response to the pandemic highlights the need for tailored interventions to address sleep problems.     

Simultaneous glomerular filtration rate determination using inulin,iohexol, and 99mTc-DTPA demonstrates the need for customized measurement protocols

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