Establishment of risk model for elderly CAP at different age stages: a single-center retrospective observational study.

Community-acquired pneumonia (CAP) is one of the main reasons of mortality and morbidity in elderly population, causing substantial clinical and economic impacts. However, clinically available score systems have been shown to demonstrate poor prediction of mortality for patients aged over 65. Especially, no existing clinical model can predict morbidity and mortality for CAP patients among different age stages. Here, we aimed to understand the impact of age variable on the establishment of assessment model and explored prognostic factors and new biomarkers in predicting mortality. We retrospectively analyzed elderly patients with CAP in Minhang Hospital, Fudan University. We used univariate and multiple logistic regression analyses to study the prognostic factors of mortality in each age-based subgroup. The prediction accuracy of the prognostic factors was determined by the Receiver Operating Characteristic curves and the area under the curves. Combination models were established using several logistic regressions to save the predicted probabilities. Four factors with independently prognostic significance were shared among all the groups, namely Albumin, BUN, NLR and Pulse, using univariate analysis and multiple logistic regression analysis. Then we built a model with these 4 variables (as ABNP model) to predict the in-hospital mortality in all three groups. The AUC value of the ABNP model were 0.888 (95% CI 0.854-0.917, p < 0.000), 0.912 (95% CI 0.880-0.938, p < 0.000) and 0.872 (95% CI 0.833-0.905, p < 0.000) in group 1, 2 and 3, respectively. We established a predictive model for mortality based on an age variable -specific study of elderly patients with CAP, with higher AUC value than PSI, CURB-65 and qSOFA in predicting mortality in different age groups (66-75/ 76-85/ over 85 years).

Exploration of prognostic factors for prediction of mortality in elderly CAP population using a nomogram model.

Background: The incidence and mortality rate of community-acquired pneumonia (CAP) in elderly patients were higher than the younger population. The assessment tools including CURB-65 and qSOFA have been applied in early detection of high-risk patients with CAP. However, several disadvantages exist to limit the efficiency of these tools for accurate assessment in elderly CAP. Therefore, we aimed to explore a more comprehensive tool to predict mortality in elderly CAP population by establishing a nomogram model. Methods: We retrospectively analyzed elderly patients with CAP in Minhang Hospital, Fudan University. The least absolute shrinkage and selection operator (LASSO) logistic regression combined with multivariate analyses were used to select independent predictive factors and established nomogram models via R software. Calibration plots, decision curve analysis (DCA) and receiver operating characteristic curve (ROC) were generated to assess predictive performance. Results: LASSO and multiple logistic regression analyses showed the age, pulse, NLR, albumin, BUN, and D-dimer were independent risk predictors. A nomogram model (NB-DAPA model) was established for predicting mortality of CAP in elderly patients. In both training and validation set, the area under the curve (AUC) of the NB-DAPA model showed superiority than CURB-65 and qSOFA. Meanwhile, DCA revealed that the predictive model had significant net benefits for most threshold probabilities. Conclusion: Our established NB-DAPA nomogram model is a simple and accurate tool for predicting in-hospital mortality of CAP, adapted for patients aged 65 years and above. The predictive performance of the NB-DAPA model was better than PSI, CURB-65 and qSOFA.

Technology-Based (Mhealth) and Standard/Traditional Maternal Care for Pregnant Woman: A Systematic Literature Review.

The world of health has changed significantly since the advent of smartphones. Smartphones have been widely known to facilitate the search for health information in the mobile Health (mHealth) system, which is used to improve the quality of life for patients, such as communication between doctors and patients. This systematic literature review aims to identify the use of mHealth as a digital communication tool for pregnant women by comparing technology-based and standard-based pregnancy care. The method used is a systematic review of articles related to pregnancy care that utilize mHealth for pregnant women. The articles were obtained from the database based on the PICO framework; we searched articles using seven databases. The selection was adjusted to the inclusion criteria, data extraction, study quality evaluation, and results from synthesis. From the disbursement, 543 articles were obtained and 10 results were obtained after the screening. After a critical appraisal was carried out, four articles were obtained. Advantages can be in the form of increasing knowledge of pregnant women who use mHealth due to the availability of information needed by pregnant women in the mHealth application. mHealth also provides information about their babies, so the impact of mHealth is not only for mothers. mHealth is a promising solution in pregnancy care compared to the standard of maternal care.

Neoadjuvant Treatment for Pancreatic Adenocarcinoma: A False Promise or an Opportunity to Improve Outcome?

Pancreatic ductal adenocarcinoma (PDAC) has an aggressive tumor biology and is associated with poor survival outcomes. Most patients present with metastatic or locally advanced disease. In the 10-20% of patients with upfront resectable disease, surgery offers the only chance of cure, with the addition of adjuvant chemotherapy representing an established standard of care for improving outcomes. Despite resection followed by adjuvant chemotherapy, at best, 3-year survival reaches 63.4%. Post-operative complications and poor performance mean that around 50% of the patients do not commence adjuvant chemotherapy, and a significant proportion do not complete the intended treatment course. These factors, along with the advantages of early treatment of micrometastatic disease, the ability to downstage tumors, and the increase in R0 resection rates, have increased interest in neo-adjuvant treatment strategies. Here we review biomarkers for early diagnosis of PDAC and patient selection for a neo-adjuvant approach. We also review the current evidence for different chemotherapy regimens in this setting, as well as the role of chemoradiotherapy and immunotherapy, and we discuss ongoing trials.

Safety monitoring of two and four-weekly adjuvant durvalumab for patients with stage III NSCLC: implications for the COVID-19 pandemic and beyond.

Durvalumab is the first approved adjuvant immunotherapy agent for patients with stage III NSCLC treated with concurrent chemoradiotherapy and is associated with improved overall survival. In order to minimise the number of hospital visits for patients receiving durvalumab during the COVID-19 pandemic we implemented 4-weekly (20 mg/kg) durvalumab in place of 2-weekly infusions at The Royal Marsden Hospital. We assessed the potential impact of the safety of a 4-weekly schedule in patients receiving adjuvant durvalumab. We carried out a retrospective study of 40 patients treated with 2-weekly and 4-weekly infusions of durvalumab prior to and during the COVID-19 pandemic. Clinical documentation was analysed from 216 consultations across 40 patients receiving 2-weekly durvalumab and 66 consultations of 14 patients who switched from 2-weekly to 4-weekly durvalumab during the COVID-19 pandemic. In patients receiving 2-weekly durvalumab, the rate of grade 3 and 4 toxicities was 15 % compared to 7% in patients receiving 4-weekly durvalumab. Pre-existing autoimmune disease was considered a risk factor for the development of grade 3 or 4 toxicities. We did not observe any difference in the rate of grade 1 and 2 toxicities between the two groups. Our findings support the use of 4-weekly durvalumab during the COVID-19 pandemic and beyond, obviating the need for 2-weekly face-to-face consultations and blood tests, relevant given the current pandemic and the need to re-structure cancer services to minimise patient hospital visits and exposure to SARS-CoV-2.

Reversible and unilateral corticospinal tract disease secondary to autoimmune free-T3-thyrotoxicosis.

68-year-old female patient with no significant medical history presents with a 3-month history of progressive neurological symptoms, which began with left eye ptosis, blurred vision and non-painful jaw discomfort, followed by left spastic weakness and hyper-reflexia with positive Babinski and Hoffman signs. An elevated T3 level, a positive peroxidase and an antigraves antibody level led to an ultrasound, which confirmed a sub acute-chronic autoimmune thyroiditis. A nerve conduction studies/electromyogram showed normal motor and sensory velocity conduction with a small amplitude compound motor action potential, indicative of likely axonal damage. Following treatment with carbimazole, the neurological symptoms greatly improved. The authors concluded that the left pyramidal syndrome was secondary to autoimmune free T3-thyrotoxicosis.

An elusive ciliopathy: Joubert syndrome.

The police brought a 65-year-old female patient to the EADU after being found 'roaming the streets' in an apparent state of confusion. This was her third admission under the same circumstances during the last 3 years. Neurological examination revealed (1) cognitive impairment, (2) oculomotor apraxia, (3) abnormal cancellation of vestibular ocular reflex, (4) mild ataxia and (5) mild hypotonia. Renal function was abnormal and liver function was normal. No retinal disturbance was found. The head CT on admission was normal for stroke and the lumbar puncture was negative for encephalitis. Her brain MRI showed 'molar tooth sign', suggestive of Joubert syndrome, which was confirmed by genetic testing showing anomalous NPHP1 gene.