Preoperative Circulating MiR-210, a Risk Factor for Postoperative Delirium Among Elderly Patients with Gastric Cancer Undergoing Curative Resection

Background: Postoperative delirium (POD) is a very common complication in elderly patients with gastric cancer (GC) and associated with poor prognosis. MicroRNAs (miRNAs) serve as key post-transcriptional regulators of gene expression via targeting mRNAs and play important roles in the nervous system. This study aimed to investigate the potential predictive role of miRNAs for POD. Methods: Elderly GC patients who were scheduled to undergo elective curative resection were consequently enrolled in this study. POD was assessed at 1 day before surgery and 1-7 days after surgery following the guidance of the 5th edition of Diagnostic and Statistical Manual of Mental Disorders (DSM V, 2013). The demographics, clinicopathologic characteristics and preoperative circulating miRNAs by quantitative reverse transcription-polymerase chain reaction (qRT-PCR) were compared between patients with or without POD. Risk factors for POD were assessed via univariate and multivariate logistic regression analyses. Results: A total of 370 participants were enrolled, of which 63 had suffered from POD within postoperative 7 days with an incidence of 17.0%. Preoperative miR-210 was a predictor for POD with an area under the curve (AUC) of 0.921, a cut-off value of 1.67, a sensitivity of 95.11%, and a specificity of 92.06%, (P<0.001). In the multivariate logistic regression model, the relative expression of serum miR-210 was an independent risk factor for POD (OR: 3.37, 95%CI: 1.98–5.87, P=0.003). Conclusions: In conclusion, the present study highlighted that preoperative miR-210 could serve as a potential predictor for POD in elderly GC patients undergoing curative resection.

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Postoperative Serum Albumin Decrease Independently Predicts Delirium in the Elderly Subjects after Total Joint Arthroplasty

Current Pharmaceutical Design ◽

10.2174/1381612826666191227153150 ◽

2020 ◽

Vol 26 (3) ◽

pp. 386-394 ◽

Cited By ~ 1

Author(s):

Jianmin Qi ◽

Cheng Liu ◽

Li'an Chen ◽

Junping Chen

Keyword(s):

Logistic Regression ◽

Risk Factor ◽

Total Joint Arthroplasty ◽

Independent Risk Factor ◽

Area Under The Curve ◽

Joint Arthroplasty ◽

Elderly Subjects ◽

Regression Analyses ◽

Multivariate Logistic Regression ◽

Roc Curve Analysis

Background: Postoperative delirium (POD), a neurobehavioral syndrome induced by dysfunction of neural activity, is a common and serious complication. This current study aimed to investigate independent predictors for POD in elderly subjects after total joint arthroplasty (TJA). Methods: Eligible elderly patients (≥65 years) who underwent elective unilateral primary hip or knee arthroplasty under epidural anesthesia from October 2016 to January 2019 were consecutively enrolled. POD was diagnosed following the guidance of the 5th edition of Diagnostic and Statistical Manual of Mental Disorders, (DSM V, 2013). The relative change in serum Alb (ΔAlb) was defined as the absolute value of (preoperative Alb value– nadir value within postoperative day 2)/preoperative Alb ×100%. The predictive value of ΔAlb for POD was evaluated by receiver operating characteristic (ROC) curve analysis. Univariate and multivariate logistic regression analyses were used for evaluating risk factors for POD. Results: A total of 328 patients were enrolled in the analysis, of which 68 (20.7%, 68/328) patients developed POD within postoperative 7 days. ΔAlb was an effective predictor for POD with an area under the curve (AUC) of 0.821, a sensitivity of 76.15% and a specificity of 70.59%, respectively (P<0.001). Univariate and multivariate logistic regression analyses indicated that ΔAlb was the only independent risk factor for POD (OR: 2.43, 95%CI: 1.17–4.86, P=0.015). Conclusions: ΔAlb was an independent risk factor for POD in elderly subjects after TJA.

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Prevalence and risk factors of depression and anxiety for inpatients with lung cancer in China: A hospital-based cross-sectional study

10.21203/rs.3.rs-1149458/v1 ◽

2022 ◽

Author(s):

Xueqian Wang ◽

Xuejiao Ma ◽

Mo Yang ◽

Yan Wang ◽

Yi Xie ◽

...

Keyword(s):

Risk Factors ◽

Lung Cancer ◽

Logistic Regression ◽

Risk Factor ◽

Univariate Analysis ◽

Multivariate Logistic Regression Analysis ◽

Multivariate Logistic Regression Model ◽

Depression And Anxiety ◽

Multivariate Logistic Regression ◽

Cross Sectional

Abstract Background Lung cancer was often accompanied by depression and anxiety. Nowadays, most investigations for depression and anxiety were concentrated in western medical hospitals, while few related studies have been carried out in the tradition Chinese medicine (TCM) ward. It was necessary to understand the prevalence and risk factors of depression and anxiety in the inpatients with lung cancer in TCM hospital. Methods This study adopted cross-sectional research method, which enrolled a total of 222 inpatients with lung cancer in TCM hospital. PHQ-9 and GAD-7 scales were used to assess depression and anxiety for the inpatients, respectively. Demographic and clinical data were also collected. Statistical methods of the univariate analysis and the multivariate logistic regression model were used. Results The prevalence of depression and anxiety in the inpatients with lung cancer were 58.1% and 34.2%, respectively. Multivariate logistic regression analysis prompted that the common risk factor of depression and anxiety was the symptom of insomnia. Constipation and gender were the two anther risk factors of depression. Conclusion Depression and anxiety were common for the inpatients with lung cancer in TCM hospital. Gender, insomnia and constipation were risk factors for depression, and insomnia was risk factor for anxiety. Therefore, medical workers should pay close attention to the emotional changes of these high-risk patients and intervene the symptoms as early as possible.

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Risk Factor for Vital Signs Fluctuation during Colonoscopy under Conscious Sedation Consisting of Midazolam and Meperidine

Digestive Diseases ◽

10.1159/000481343 ◽

2017 ◽

Vol 36 (2) ◽

pp. 113-117 ◽

Cited By ~ 4

Author(s):

Shigeo Banno ◽

Motohiko Kato ◽

Yukie Sunata ◽

Yuichiro Hirai ◽

Yoko Kubosawa ◽

...

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Multivariate Analysis ◽

Risk Factor ◽

Logistic Regression Model ◽

Conscious Sedation ◽

Vital Signs ◽

Multivariate Logistic Regression Model ◽

Multivariate Logistic Regression ◽

Independent Risk Factors

Background: Sedatives or analgesics are widely used to relieve a patient’s discomfort during colonoscopy (CS). Although cardiopulmonary adverse events are sometimes experienced during the examination, the risk factors for vital signs fluctuation (VSF) have not been fully elucidated. This study thus aimed to identify the risk factors for VSF during the examination, as well as to evaluate the frequency and the degree of VSF. Summary: A total of 755 consecutive subjects who received CS under endoscopist-administrated sedation using midazolam, meperidine, or combination of both were retrospectively analyzed. We assessed the distribution of vital signs during the procedure and frequency of VSF. To identify independent risk factors, we analyzed the association between VSF and subjects’ characteristics and procedure information using the multivariate logistic regression model. Consequently, VSF was observed in 17% of all; hypotension and oxygen desaturation was observed in 13 and 5%, respectively. However, we could achieve the purpose of all procedure and, no one required hospitalization or extension of hospital stay. Multivariate analysis revealed that age (OR 1.05 [95% CI 1.04–1.07]), being female (OR 1.78 [95% CI 1.19–2.70]), and use of midazolam (OR 5.06 [95% CI 3.18–8.08]) were independent risk factors for VSF.

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The association between hypoglycemia and glycemic variability in elderly patients with type 2 diabetes: a prospective observational study

Diabetology & Metabolic Syndrome ◽

10.1186/s13098-021-00656-1 ◽

2021 ◽

Vol 13 (1) ◽

Author(s):

Takahisa Handa ◽

Akinobu Nakamura ◽

Aika Miya ◽

Hiroshi Nomoto ◽

Hiraku Kameda ◽

...

Keyword(s):

Type 2 Diabetes ◽

Logistic Regression ◽

Regression Analysis ◽

Observational Study ◽

Elderly Patients ◽

Prospective Observational Study ◽

Multivariate Logistic Regression Analysis ◽

Glycemic Variability ◽

Multivariate Logistic Regression

Abstract Background This study aimed to explore predictive factors of time below target glucose range (TBR) ≥ 1% among patients’ characteristics and glycemic variability (GV) indices using continuous glucose monitoring data in elderly patients with type 2 diabetes. Methods We conducted a prospective observational study on 179 (71 female) Japanese outpatients with type 2 diabetes aged ≥ 65 years. The characteristics of the participants with TBR ≥ 1% were evaluated by multivariate logistic regression analysis. Receiver-operating characteristic (ROC) curve analyses of GV indices, comprising coefficient of variation (CV), standard deviation, and mean amplitude of glycemic excursions, were performed to identify the optimal index for the identification of patients with TBR ≥ 1%. Results In the multivariate logistic regression analysis, none of the clinical characteristics, including HbA1c and C-peptide index, were independent markers for TBR ≥ 1%, while all three GV indices showed significant associations with TBR ≥ 1%. Among the three GV indices, CV showed the best performance based on the area under the curve in the ROC curve analyses. Conclusions Among elderly patients with type 2 diabetes, CV reflected TBR ≥ 1% most appropriately among the GV indices examined. Trial registration UMIN-CTR: UMIN000029993. Registered 16 November 2017

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Sleep apnoea is a risk factor for severe COVID-19

BMJ Open Respiratory Research ◽

10.1136/bmjresp-2020-000845 ◽

2021 ◽

Vol 8 (1) ◽

pp. e000845

Author(s):

Satu Strausz ◽

Tuomo Kiiskinen ◽

Martin Broberg ◽

Sanni Ruotsalainen ◽

Jukka Koskela ◽

...

Keyword(s):

Risk Factor ◽

Independent Risk Factor ◽

Causes Of Death ◽

Meta Analysis ◽

Sleep Apnoea ◽

Male Gender ◽

Multivariate Logistic Regression Model ◽

Multivariate Logistic Regression ◽

Obstructive Sleep ◽

Positive Controls

BackgroundObstructive sleep apnoea (OSA) is associated with higher body mass index (BMI), diabetes, older age and male gender, which are all risk factors for severe COVID-19.We aimed to study if OSA is an independent risk factor for COVID-19 infection or for severe COVID-19.MethodsOSA diagnosis and COVID-19 infection were extracted from the hospital discharge, causes of death and infectious diseases registries in individuals who participated in the FinnGen study (n=260 405). Severe COVID-19 was defined as COVID-19 requiring hospitalisation. Multivariate logistic regression model was used to examine association. Comorbidities for either COVID-19 or OSA were selected as covariates. We performed a meta-analysis with previous studies.ResultsWe identified 445 individuals with COVID-19, and 38 (8.5%) of them with OSA of whom 19 out of 91 (20.9%) were hospitalised. OSA associated with COVID-19 hospitalisation independent from age, sex, BMI and comorbidities (p-unadjusted=5.13×10−5, OR-adjusted=2.93 (95% CI 1.02 to 8.39), p-adjusted=0.045). OSA was not associated with the risk of contracting COVID-19 (p=0.25). A meta-analysis of OSA and severe COVID-19 showed association across 15 835 COVID-19 positive controls, and n=1294 patients with OSA with severe COVID-19 (OR=2.37 (95% 1.14 to 4.95), p=0.021).ConclusionRisk for contracting COVID-19 was the same for patients with OSA and those without OSA. In contrast, among COVID-19 positive patients, OSA was associated with higher risk for hospitalisation. Our findings are in line with earlier works and suggest OSA as an independent risk factor for severe COVID-19.

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The second pregnancy has no effect in the incidence of macrosomia: a cross-sectional survey in two western Chinese regions

Journal of Health Population and Nutrition ◽

10.1186/s41043-021-00244-z ◽

2021 ◽

Vol 40 (1) ◽

Author(s):

Li Luo ◽

Huan Zeng ◽

Mao Zeng ◽

Xueqing Liu ◽

Xianglong Xu ◽

...

Keyword(s):

Logistic Regression ◽

Western China ◽

Fetal Macrosomia ◽

Multivariate Logistic Regression Model ◽

Multivariate Logistic Regression ◽

Cross Sectional ◽

Second Child ◽

Child Policy ◽

Significant Difference ◽

The Impact

Abstract Background After the implementation of the universal two-child policy in China, the increase in parity has led to an increase in adverse pregnancy outcomes. The impact of one and two fetuses on the incidence of fetal macrosomia has not been fully confirmed in China. This study aimed to explore the differences in the incidence of fetal macrosomia in first and second pregnancies in Western China after the implementation of the universal two-child policy. Methods A total of 1598 pregnant women from three hospitals were investigated by means of a cross-sectional study from August 2017 to January 2018. Participants were recruited by convenience and divided into first and second pregnancy groups. These groups included 1094 primiparas and 504 women giving birth to their second child. Univariate and multivariate logistic regression analyses were performed to discuss the differences in the incidence of fetal macrosomia in first and second pregnancies. Results No significant difference was found in the incidence of macrosomia in the first pregnancy group (7.2%) and the second pregnancy group (7.1%). In the second-time pregnant mothers, no significant association was found between the macrosomia of the second child (5.5%) and that of the first child (4.7%). The multivariate logistic regression model showed that mothers older than 30 years are not likely to give birth to children with macrosomia (odds ratio (OR) 0.6, 95% confidence interval (CI) 0.4,0.9). Conclusions The incidence of macrosomia in Western China is might not be affected by the birth of the second child and is not increased by low parity.

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Quantitative assessment of the effects of outside temperature on farrowing rate in gilts and sows by using a multivariate logistic regression model

Animal Science Journal ◽

10.1111/asj.13048 ◽

2018 ◽

Vol 89 (8) ◽

pp. 1187-1193 ◽

Cited By ~ 1

Author(s):

Yosuke Sasaki ◽

Madoka Fujie ◽

Shingo Nakatake ◽

Tadahiro Kawabata

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Quantitative Assessment ◽

Logistic Regression Model ◽

Multivariate Logistic Regression Model ◽

Multivariate Logistic Regression ◽

Farrowing Rate

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Sex-based differences in outcomes for adult patients presenting to the emergency department with a concussion

Journal of Neurosurgery ◽

10.3171/2021.1.jns203753 ◽

2021 ◽

pp. 1-10

Author(s):

Brian H. Rowe ◽

Esther H. Yang ◽

Lindsay A. Gaudet ◽

Leeor Eliyahu ◽

Daniela R. Junqueira ◽

...

Keyword(s):

Emergency Department ◽

Logistic Regression ◽

Motor Vehicle ◽

Adult Population ◽

Treatment Options ◽

Multivariate Logistic Regression Model ◽

Adult Women ◽

Multivariate Logistic Regression ◽

Persistent Symptoms ◽

Postconcussion Symptoms

OBJECTIVE Patients with concussion frequently present to the emergency department (ED). Studies of athletes and children indicate that concussion symptoms are often more severe and prolonged in females compared with males. Given infrequent study of concussion symptoms in the general adult population, the authors conducted a sex-based comparison of patients with concussion. METHODS Adults (≥ 17 years of age) presenting with concussion to one of three urban Canadian EDs were recruited. Discharged patients were contacted by telephone 30 and 90 days later to capture the extent of persistent postconcussion symptoms using the Rivermead Post Concussion Symptoms Questionnaire (RPQ). A multivariate logistic regression model for persistent symptoms that included biological sex was developed. RESULTS Overall, 250 patients were included; 131 (52%) were women, and the median age of women was significantly higher than that of men (40 vs 32 years). Women had higher RPQ scores at baseline (p < 0.001) and the 30-day follow-up (p = 0.001); this difference resolved by 90 days. The multivariate logistic regression identified that women, patients having a history of sleep disorder, and those presenting to the ED with concussions after a motor vehicle collision were more likely to experience persistent symptoms. CONCLUSIONS In a community concussion sample, inconsequential demographic differences existed between adult women and men on ED presentation. Based on self-reported and objective outcomes, work and daily activities may be more affected by concussion and persistent postconcussion symptoms for women than men. Further analysis of these differences is required to identify different treatment options and ensure adequate care and management of injury.

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Identification of characteristics associated with long-term survival in patients with metastatic urothelial carcinoma (mUC) who received durvalumab (D) with or without tremelimumab (T) in clinical studies.

Journal of Clinical Oncology ◽

10.1200/jco.2021.39.6_suppl.441 ◽

2021 ◽

Vol 39 (6_suppl) ◽

pp. 441-441

Author(s):

Marie Alt ◽

Carlos Stecca ◽

Shaum Kabadi ◽

Benga Kazeem ◽

Srikala S. Sridhar

Keyword(s):

Logistic Regression ◽

Phase I ◽

Regression Model ◽

Clinical Studies ◽

Logistic Regression Model ◽

Multivariate Logistic Regression Model ◽

Multivariate Logistic Regression ◽

Term Survival ◽

Long Term Survival

441 Background: Immune checkpoint inhibitors (ICI) have changed the landscape of mUC, yet outcomes are variable as some patients (pts) do not respond to treatment while others have a durable response. To optimally select pts who may derive benefit from ICIs, predictive factors are required. This retrospective, post-hoc analysis evaluated pt characteristics to determine differences between short and long-term survivors among pts with mUC who received D (anti–PD-L1) with or without T (anti–CTLA-4) in two clinical studies. Methods: Pts with platinum-refractory mUC who received D monotherapy in the phase I/II study 1108 (10 mg/kg Q2W, up to 12 mo) or D+T in the phase I study 10 (D at 20 mg/kg + T at 1 mg/kg Q4W for 4 mo, then D at 10 mg/kg Q2W for 12 mo) were included. Pt characteristics, tumor characteristics, radiological assessments, and biological assessments were collected. The primary outcome measure was long-term overall survival (OS). Pts were categorized as OS ≥2 yrs (from 1st dose of study drug) or OS <2 yrs. A univariate analysis was conducted on each baseline characteristic to assess independent associations with long-term OS; a multivariate logistic regression model was employed including each variable with a p-value ≤0.1 as factors or covariates. Results: A total of 367 pts with mUC were included in the analysis: 88 (24.0%) had OS ≥2 yrs (range: 2.09–4.99) and 279 (76.0%) had OS <2 yrs (range: 0.03–1.98). Pts with OS ≥2 yrs had a significantly higher objective response rates than those with OS <2 yrs (71.6% vs 5.7%; p<0.0001) and a significantly longer duration of response (median 2.3 yrs vs 0.39 yrs; p<0.0001). The characteristics included in the multivariate logistic regression model are listed in the Table. Long-term OS was significantly associated with ECOG PS, PD-L1 status, baseline hemoglobin level, and baseline absolute neutrophils count. Conclusions: Our analyses show that several characteristics, including tumor response to treatment, are associated with long-term OS for pts with mUC treated with D or D+T. Further investigation into these and other characteristics may provide additional insights into long-term survival outcomes with ICIs. [Table: see text]

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