BACKGROUND: Accumulating evidence shows that free fatty acids (FFA) are associated with gestational diabetes mellitus (GDM). However, most of the studies focus on a few specific types of FFA, such as α-linolenic acid (C18:3n3) and Arachidonic acid (C20:4n6) or a total level of FFA.
OBJECTIVE: This study aimed to test the association between a variety of FFAs during the first trimester and the risk of GDM.
METHODS: The participants came from the Zhoushan Pregnant Women Cohort (ZWPC). A 1:2 nested case-control study was conducted: fifty mothers with GDM were matched with 100 mothers without GDM by age, pre-pregnancy body mass index (BMI), month of oral glucose tolerance test (OGTT) and parity. Thirty-seven FFAs (including 17 saturated fatty acids (SFA), 8 monounsaturated fatty acids (MUFA), 10 polyunsaturated fatty acids (PUFA) and 2 trans fatty acids (TFA)) in maternal plasma during the first trimester were tested by Gas Chromatography-Mass Spectrometry (GC-MS). Conditional logistic regression models were performed to assess the associations of FFA with the risk of GDM.
RESULTS: Nine FFAs were respectively associated with an increased risk of GDM (P < 0.05), and four FFAs were respectively associated with a decreased risk of GDM (P < 0.05). SFA risk score was associated with a greater risk of GDM (OR = 1.34, 95% CI: 1.12-1.60), as well as UFA risk score (OR = 1.26, 95% CI: 1.11-1.44), MUFA risk score (OR = 1.70, 95%CI: 1.27-2.26), PUFA risk score (OR = 1.32, 95%CI: 1.09-1.59) and TFA risk score (OR = 2.51, 95%CI: 1.23-5.13). Moreover, joint effects between different types of FFA risk scores on GDM were detected. For instance, compared with those with low risk scores of SFA and UFA, women with high risk scores of SFA and UFA had the highest risk of GDM (OR = 8.53, 95%CI: 2.41-30.24), while the Odds ratio in those with a low risk score of SFA and high risk score of UFA and those with a high risk score of SFA and low risk score of UFA was 6.37 (95%CI:1.33- 30.53) and 4.25 (95%CI: 0.97-18.70), respectively.
CONCLUSIONS: Maternal FFAs during the first trimester were positively associated with the risk of GDM. Additionally, there were joint effects between FFAs on GDM risk.
CONCLUSIONS: Elevated FFA levels in the first trimester increased the risk of GDM.

The aim of this study was to examine risk factors of respiratory complications at the diagnosis and establish an algorithm of clinical management in children and adolescents with mediastinal tumors.
We retrospectively collected clinical information of all children and adolescents who presented with mediastinal tumors at Saitama Children\'s Medical Center from 1999 to 2019, including age, sex, pathological diagnosis, eight major clinical symptoms (cough, dyspnea, hypoxia, orthopnea, chest pain, wheeze, superior vena cava syndrome, and stridor), chest computed tomography (CT) findings (tumor location, mediastinal mass ratio, pleural fluid, pericardial effusion, and compression of trachea and bronchi), types of diagnostic procedure and anesthesia, respiratory complications (severe hypoxia, difficult ventilation, respiratory failure, and cardiopulmonary arrest), and clinical outcome. Subsequently, we calculated the risk score for predicting respiratory complications by combining clinical and radiological findings.
Of the 57 patients, 7 (12%) developed respiratory complications. Cough, dyspnea, hypoxia, and orthopnea were significantly more common in patients with complications (p = 0.02, p = 0.02, p < 0.01, p = 0.03, respectively). The reduction of percentage of tracheal cross-sectional area (%TCA) and compression of the carina in chest CT were also significantly more common in patients with complications (p < 0.01 and <0.01, respectively). We calculated the risk score of respiratory complications by combining cough, wheeze, stridor, orthopnea, dyspnea, hypoxia, %TCA < 0.5, and compression of the carina. A risk score ≥ 7 showed high predictive accuracy for complications (sensitivity: 100%, specificity: 97.7%, positive likelihood ratio: 43.0).
The risk score combining clinical symptoms with radiological findings is a promising predictive tool for respiratory complications in children with mediastinal tumors.

BACKGROUND: Converted laparoscopic hepatectomies are known to lose some advantages of the minimally-invasiveness, and factors are identified to predict patients at risk. Specific evidence for laparoscopic right hepatectomy is expected of usefulness in clinical practice, given its technical peculiarities. The purpose of the study was the identification of risk factors and the development of a risk score for conversion of laparoscopic right hepatectomy.
METHODS: Laparoscopic right hepatectomy performed at a single hepatobiliary surgical center were analyzed. The cohort was split in half to obtain a derivation and a validation set. Risk factors for conversion were identified by uni- and multivariable analysis. A \"conversion risk score\" was built assigning each factor 1 point and comparing the score with the conversion status for each patient. The accuracy was assessed by the area-under-the-receiver-operator-characteristic-curve.
RESULTS: Among 130 operations, 22 were converted (16.9%). Reasons were: 45.5% oncologic inadequacy, 31.8% bleeding, 9.1% adhesions, 9.1% biliostasis, 4.5% anaesthesiological problems. Independent risk factors for conversion were: previous laparoscopic liver surgery (Hazard Ratio 4.9, p 0.011), preoperative chemotherapy ( Hazard Ratio 6.2, p 0.031), malignant diagnosis (Hazard Ratio 3.3, p 0.037), closeness to hepatocaval confluence or inferior vena cava (Hazard Ratio 4.1, p 0.029), tumor volume (Hazard Ratio 2.9, p 0.024). Conversion rates correlated positively with the score, raising from 0 to 100% when the score increased from 0 to 5 (Spearman: p 0.032 in the derivation set, p 0.020 in the validation set). The risk of conversion showed a sharp increase passing from class 3 to 4, reaching a probability estimated between 60 and 71.4%. The score showed good accuracy (area-under-the-receiver-operator-characteristic-curve 0.82).
CONCLUSIONS: Specific risk factors for conversion are identified for laparoscopic right hepatectomy. This score may help in standardizing the choice of a pure laparoscopic or open approach for such challenging resections.

Introduction: Medication discrepancies on hospital discharge are common and occur despite the use of technology to generate electronically created discharge (e-discharge) prescriptions, justifying pharmacist involvement. No published studies have focused on medication discrepancies as a risk factor for readmission. The aim was to explore the relationship between medication discrepancies on discharge and readmission rates, and how both are affected by pharmacist intervention. Objectives: The primary objective was to establish the relationship between medication discrepancies on the e-discharge prescription and hospital readmissions within 30 days of discharge. Secondary objectives were to determine the 30-day readmission rate with and without pharmacist involvement, and risk factors for 30-day readmission. Methods: This was a matched case-control study where cases and controls consisted of patients readmitted and not readmitted to hospital within 30 days of discharge from the general medicine service, respectively. Case patients were defined as patients who had been readmitted to the hospital within 30 days of discharge from the general medicine unit. Control patients were defined as patients who had not been readmitted to the hospital within 30 days of discharge. Chi-square statistics was used to analyze the association between the presence of medication discrepancy at discharge and 30-day readmission. Multivariate logistic regression was used to further analyze the associations to determine which risk factors best relate to 30-day readmission. Results: Between January 1, 2017 and December 31, 2017, a total of 401 e-discharge prescriptions were reviewed, and 194 cases were readmitted within 30 days of discharge. Similar proportions of patients were readmitted compared with not readmitted regardless of whether discrepancies were identified on the e-discharge prescriptions, and there was no relationship identified between medication discrepancies and readmission within 30 days (odds ratio [OR] = 1.04; P = .854). The readmission rate with and without pharmacist involvement was similar between the case group (50%) and control group (48.0%). The proportion of discharge prescriptions with discrepancies was 48.8% in the group that had pharmacist involvement and 47.0% in the group that had no pharmacist involvement. Additionally, a LACE score of 12 or greater was identified as a statistically significant risk factor for readmission (OR = 2.13; P < .001). Conclusions: Pharmacist review of the e-discharge prescription did not affect the readmission rate. A LACE score of 12 or greater was associated with a higher risk of readmission. Future studies are needed to identify patient groups at high risk of readmission and to determine pharmacist interventions that could reduce readmission rates.

The burden of sepsis represents a global health care problem. We aimed to assess the case fatality rate (CFR) and its predictors in subjects with sepsis admitted to a general Italian hospital from 2009 to 2016, stratified by risk score.
We performed a retrospective analysis of all sepsis-related hospitalizations after Emergency Department (ED) visit in a public Italian hospital in an 8-year period. A risk score to predict CFR was computed by logistic regression analysis of selected variables in a training set (2009-2012), and then confirmed in the whole study population. A trend analysis of CFR during the study period was performed dividing patient as high-risk (upper tertile of risk score) or low-risk.
Two thousand four hundred ninety-two subjects were included. Over time the incidental admission rate (no. of sepsis-related admissions per 100 total admissions) increased from 4.1% (2009-2010) to 5.4% (2015-2016); P < 0.001, accompanied by a reduced CFR (from 38.0 to 18.4%; P < 0.001). A group of 10 variables (admission to intensive care unit, cardio-vascular dysfunction, HIV infection, diabetes, age ≥ 80 years, respiratory diseases, number of organ dysfunction, digestive diseases, dementia and cancer) were selected by the logistic model to predict CFR with good accuracy: AUC 0.873 [0.009]. Along the years CFR decreased from 31.8% (2009-2010) to 25.0% (2015-2016); P = 0.007. The relative proportion of subjects ≥80 years (overall, 52.9% of cases) and classified as high-risk did not change along the years. CFR decreased only in low-risk subjects (from 13.3 to 5.2%; P < 0.001), and particularly in those aged ≥80 (from 18.2 to 6.6%; P = 0.003), but not in high-risk individuals (from 69.9 to 64.2%; P = 0.713).
Between 2009 and 2016 the incidence of sepsis-related hospitalization increased in a general Italian hospital, with a downward trend in CFR, only limited to low-risk patients and particularly to subjects ≥80 years.

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Background: Although previous studies have explored the associations of modifiable lifestyle factors with oral cancer risk, few studies integrated these factors and established predictive tools for oral cancer risk in different sexes. Methods: Using a case-control study design, a total of 978 oral cancer cases and 2646 healthy controls were recruited in this study. Nomograms were constructed according to significant factors in multivariable logistic regression. Risk scores were calculated based on the nomograms and quantified the risk of oral cancer using restricted cubic spline. Results: Multivariate analyses demonstrated that smoking, alcohol drinking, tea, intake of fish, seafood, vegetables, fruits, teeth loss, regular dental visits and repetitive dental ulcer were independent factors for male oral cancer. Passive smoking, age at first intercourse, cooking oil fumes exposure, tea, intake of beans, vegetables, fruits, teeth loss, regular dental visits and repetitive dental ulcer were associated with female oral cancer. Then, two nomograms were developed for predicting the probability of oral cancer in men and women with the C-index of 0.768 (95% CI: 0.723-0.813) and 0.700 (95% CI: 0.635-0.765), respectively. Restricted cubic splines graphically revealed the risk of oral cancer in individuals with different risk scores. Moreover, the risk escalated continuously with the increasing number of the risk scores among both sexes. Conclusions: Combining nomograms with risk scores developed in this study could precisely predict oral cancer occurrence and provide an accurate risk assessment.