scholarly journals Glomerular Hyperfiltration Interacts With Abnormal Metabolism to Enhance Arterial Stiffness in Middle-Aged and Elderly People

2021 ◽  
Vol 8 ◽  
Author(s):  
Qi Zhai ◽  
Jing Wen ◽  
Meiping Wang ◽  
Yingting Zuo ◽  
Xin Su ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Arterial Stiffness ◽  
Kidney Injury ◽  
Fold Increase ◽  
Glomerular Hyperfiltration ◽  
Multivariate Logistic Regression Model ◽  
Multivariate Logistic Regression ◽  
Logistic Regression Models ◽  
Abnormal Metabolism ◽  
Normal Metabolism

Introduction: Glomerular hyperfiltration (GHF) is an early kidney injury. We investigated whether GHF is associated with arterial stiffness expressed by increase of brachial–ankle pulse wave velocity (baPWV) and pulse pressure (PP), and whether the coexistence of GHF and abnormal metabolism increases the risk of arterial stiffness.Methods: In this prospective cohort study, 2,133 non-chronic kidney disease (CKD) participants aged ≥40 years were followed for a mean period of 3.3 years. The extent of arterial stiffness was expressed by measures of baPWV and PP. GHF was defined as eGFR exceeding the age- and sex-specific 90th percentile. Multivariate logistic regression models were used to assess the association between GHF/abnormal metabolism and increased baPWV/PP. The interaction indexes of GHF and abnormal metabolism on arterial stiffness were calculated based on the OR in a multivariate logistic regression model.Results: GHF alone was not associated with increased baPWV or PP in all participants in this study. However, when GHF coexisted with abnormal metabolism, the risk of increased PP increased 3.23-fold [OR = 3.23(1.47–7.13)] compared with participants with normal filtration and normal metabolism, in which the interaction accounted for 55.1% of the total effect and 79.8% of the effect from GHF and abnormal metabolism. After subtracting the independent effects of GHF and abnormal metabolism, their combined effect still resulted in a 1.78-fold increase in PP.Conclusion: GHF could interact with abnormal metabolism to significantly enhance arterial stiffness. Since abnormal metabolism commonly exists in the general population, even slight changes in renal function should be distinguished to prevent arterial stiffness risk.

scholarly journals End-tidal to arterial carbon dioxide gradient is associated with increased mortality in patients with traumatic brain injury: a retrospective observational study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Pascal Doppmann ◽  
Lorenz Meuli ◽  
Stephen J. M. Sollid ◽  
Miodrag Filipovic ◽  
Jürgen Knapp ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Logistic Regression ◽  
Brain Injury ◽  
Hospital Mortality ◽  
Multivariate Logistic Regression Model ◽  
Multivariate Logistic Regression ◽  
Logistic Regression Models ◽  
The Mean ◽  
The Difference ◽  
End Tidal

AbstractEarly definitive airway protection and normoventilation are key principles in the treatment of severe traumatic brain injury. These are currently guided by end tidal CO2 as a proxy for PaCO2. We assessed whether the difference between end tidal CO2 and PaCO2 at hospital admission is associated with in-hospital mortality. We conducted a retrospective observational cohort study of consecutive patients with traumatic brain injury who were intubated and transported by Helicopter Emergency Medical Services to a Level 1 trauma center between January 2014 and December 2019. We assessed the association between the CO2 gap—defined as the difference between end tidal CO2 and PaCO2—and in-hospital mortality using multivariate logistic regression models. 105 patients were included in this study. The mean ± SD CO2 gap at admission was 1.64 ± 1.09 kPa and significantly greater in non-survivors than survivors (2.26 ± 1.30 kPa vs. 1.42 ± 0.92 kPa, p < .001). The correlation between EtCO2 and PaCO2 at admission was low (Pearson's r = .287). The mean CO2 gap after 24 h was only 0.64 ± 0.82 kPa, and no longer significantly different between non-survivors and survivors. The multivariate logistic regression model showed that the CO2 gap was independently associated with increased mortality in this cohort and associated with a 2.7-fold increased mortality for every 1 kPa increase in the CO2 gap (OR 2.692, 95% CI 1.293 to 5.646, p = .009). This study demonstrates that the difference between EtCO2 and PaCO2 is significantly associated with in-hospital mortality in patients with traumatic brain injury. EtCO2 was significantly lower than PaCO2, making it an unreliable proxy for PaCO2 when aiming for normocapnic ventilation. The CO2 gap can lead to iatrogenic hypoventilation when normocapnic ventilation is aimed and might thereby increase in-hospital mortality.

scholarly journals End-tidal to arterial carbon dioxide gradient in traumatic brain injury after prehospital emergency anesthesia is associated with in-hospital mortality: a retrospective observational study

2021 ◽  
Author(s):  
Pascal Doppmann ◽  
Lorenz Meuli ◽  
Stephen Sollid ◽  
Miodrag Filipovic ◽  
Jürgen Knapp ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Logistic Regression ◽  
Brain Injury ◽  
Hospital Mortality ◽  
Multivariate Logistic Regression Model ◽  
Multivariate Logistic Regression ◽  
Logistic Regression Models ◽  
The Mean ◽  
The Difference ◽  
End Tidal

Abstract Background Early definitive airway protection and normoventilation are key principles in the treatment of severe traumatic brain injury. These are currently guided by end tidal CO2 as a proxy for PaCO2. We assessed whether the difference between end tidal CO2 and PaCO2 at hospital admission is associated with in-hospital mortality.Method We conducted a retrospective observational cohort study of consecutive patients with traumatic brain injury who were intubated and transported by Helicopter Emergency Medical Services to a Level 1 trauma center between January 2014 and December 2019. We assessed the association between the CO2 gap—defined as the difference between end tidal CO2 and PaCO2—and in-hospital mortality using multivariate logistic regression models.Results 105 patients were included in this study. The mean ±SD CO2 gap at admission was 1.64 (± 1.09) kPa and significantly greater in non-survivors than survivors (2.26 ±1.30 kPa vs. 1.42 ±0.92 kPa, p<.001). The correlation between EtCO2 and PaCO2 at admission was low (Pearson's r=.287). The mean CO2 gap after 24 hours was only 0.64 ±0.82 kPa, and no longer significantly different between non-survivors and survivors. The multivariate logistic regression model showed that the CO2 gap was independently associated with increased mortality in this cohort and associated with a 2.7-fold increased mortality for every 1 kPa increase in the CO2 gap (OR 2.692, 95% CI 1.293 to 5.646, p=.009).Conclusions This study demonstrates that the difference between EtCO2 and PaCO2 is significantly associated with in-hospital mortality in patients with traumatic brain injury. EtCO2 was significantly lower than PaCO2, making it an unreliable proxy for PaCO2 when aiming for normocapnic ventilation. The higher-than-expected CO2 gap will lead to iatrogenic hypoventilation when normocapnic ventilation is aimed at, and might thereby increase in-hospital mortality.

scholarly journals High-Grade Limbs Open Fractures: Time to Find Milestones in the Emergency Setting

Life ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1226
Author(s):  
Michele Altomare ◽  
Stefano Granieri ◽  
Stefano Piero Bernardo Cioffi ◽  
Andrea Spota ◽  
Silvia Azisa Basilicò ◽  
...  
Keyword(s):  
Logistic Regression ◽  
High Volume ◽  
Infectious Complications ◽  
Open Fractures ◽  
Limb Amputation ◽  
Multivariate Logistic Regression Model ◽  
Emergency Setting ◽  
High Grade ◽  
Multivariate Logistic Regression ◽  
Logistic Regression Models

(1) Background: The Gustilo–Anderson (G/A) grading system is a universally accepted tool used to classify high-grade limb open fractures. The purpose of this study is to find early independent predictors of amputation in emergency settings. (2) Methods: A retrospective analysis involving patients treated at our center between 2010 and 2016 was conducted. Patients with at least one G/A grade III fracture or post-traumatic amputation were included. Three groups were identified: G/A IIIA (A group), G/A IIIB-C (BC group), and Amputation group (AMP group). Each group was further divided into two subgroups considering timing of coverage (early vs. delayed). Univariate and multivariate logistic regression models were developed to identify independent predictors of the limb’s outcome. (3) Results: One-hundred-six patients with G/A III A-B-C fractures or amputation of the affected limb were selected from the Niguarda Hospital Trauma Registry. The patients were divided into the A group (26), BC group (66), and AMP group (14). The rate of infectious complications following early or delayed coverage was evaluated: A group, 9.1% vs. 66.7% (p > 0.05); BC group, 32% vs. 63.6% (p = 0.03); and AMP group, 22% vs. 18.5% (p > 0.05). After further recategorization, the BC subgroups were analyzed: multivariate logistic regression model identified systolic blood pressure (SBP) <90 mmHg (p = 0.03) and Mangled Extremity Severity Score MESS ≥ 7 (p = 0.001) were determined to be independent predictors of limb amputation. (4) Conclusion: MESS and SBP serve as predictors of amputation. Based on the results, we propose a new management algorithm for mangled extremities. Early coverage is related to lower rates of infectious complications. Referral to high-volume centers with specific expertise is mandatory to guarantee the best results.

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

2020 ◽  
Vol 26 (40) ◽  
pp. 5213-5219
Author(s):  
Yun Chen ◽  
Jinwei Zheng ◽  
Junping Chen
Keyword(s):  
Gastric Cancer ◽  
Logistic Regression ◽  
Risk Factor ◽  
Elderly Patients ◽  
Curative Resection ◽  
Postoperative Delirium ◽  
Area Under The Curve ◽  
Multivariate Logistic Regression Model ◽  
Multivariate Logistic Regression ◽  
Clinicopathologic Characteristics

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.

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

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.

Child awareness of and access to cigarettes: impacts of the point-of-sale display ban in England

2018 ◽  
Vol 28 (5) ◽  
pp. 526-531 ◽  
Author(s):  
Anthony A Laverty ◽  
Eszter Panna Vamos ◽  
Christopher Millett ◽  
Kiara C-M Chang ◽  
Filippos T Filippidis ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Drug Use ◽  
Regression Models ◽  
Multivariate Logistic Regression ◽  
Tobacco Advertising ◽  
Point Of Sale ◽  
Logistic Regression Models ◽  
Annual Survey ◽  
Perceived Difficulty ◽  
Ease Of Access

IntroductionEngland introduced a tobacco display ban for shops with >280 m2 floor area (‘partial ban’) in 2012, then a total ban in 2015. This study assessed whether these were linked to child awareness of and access to cigarettes.MethodsData come from the Smoking, Drinking and Drug Use survey, an annual survey of children aged 11–15 years for 2010–2014 and 2016. Multivariate logistic regression models assessed changes in having seen cigarettes on display, usual sources and ease of access to cigarettes in shopsResultsDuring the partial display ban in 2012, 89.9% of children reported seeing cigarettes on display in the last year, which was reduced to 86.0% in 2016 after the total ban (adjusted OR 0.58, 95% CI 0.50 to 0.66). Reductions were similar in small shops (84.1% to 79.3%)%) and supermarkets (62.6% to 57.3%)%). Although the ban was associated with a reduction in the proportion of regular child smokers reporting that they bought cigarettes in shops (57.0% in 2010 to 39.8% in 2016), we did not find evidence of changes in perceived difficulty or being refused sale among those who still did.DiscussionTobacco point-of-sale display bans in England reduced the exposure of children to cigarettes in shops and coincided with a decrease in buying cigarettes in shops. However, children do not report increased difficulty in obtaining cigarettes from shops, highlighting the need for additional measures to tackle tobacco advertising, stronger enforcement of existing laws and measures such as licencing for tobacco retailers.

scholarly journals Association Between Serum Osmolality and Acute Kidney Injury in Critically Ill Patients: A Retrospective Cohort Study

2021 ◽  
Vol 8 ◽  
Author(s):  
Jie Yang ◽  
Yisong Cheng ◽  
Ruoran Wang ◽  
Bo Wang
Keyword(s):  
Acute Kidney Injury ◽  
Logistic Regression ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Retrospective Cohort ◽  
Kidney Injury ◽  
High Serum ◽  
Serum Osmolality ◽  
Multivariate Logistic Regression ◽  
Low Serum

Purposes: Acute kidney injury (AKI) is a common complication in critically ill patients and is usually associated with poor outcomes. Serum osmolality has been validated in predicting critically ill patient mortality. However, data about the association between serum osmolality and AKI is still lacking in ICU. Therefore, the purpose of the present study was to investigate the association between early serum osmolality and the development of AKI in critically ill patients.Methods: The present study was a retrospective cohort analysis based on the medical information mart for intensive care III (MIMIC-III) database. 20,160 patients were involved in this study and divided into six subgroups according to causes for ICU admission. The primary outcome was the incidence of AKI after ICU admission. The association between early serum osmolality and AKI was explored using univariate and multivariate logistic regression analyses.Results: The normal range of serum osmolality was 285–300 mmol/L. High serum osmolality was defined as serum osmolality &gt;300 mmol/L and low serum osmolality was defined as serum osmolality &lt;285 mmol/L. Multivariate logistic regression indicated that high serum osmolality was independently associated with increased development of AKI with OR = 1.198 (95% CL = 1.199–1.479, P &lt; 0.001) and low serum osmolality was also independently associated with increased development of AKI with OR = 1.332 (95% CL = 1.199–1.479, P &lt; 0.001), compared with normal serum osmolality, respectively.Conclusions: In critically ill patients, early high serum osmolality and low serum osmolality were both independently associated with an increased risk of development of AKI.

Abstract TP321: Is Weekend Admission Associated With Increased 30-day Stroke Mortality? The Effect of Adjustment Using a Claims-Based Stroke Severity Index

Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Cheng-Yang Hsieh ◽  
Sheng-Feng Sung
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Severity Index ◽  
Case Mix ◽  
Stroke Severity ◽  
Stroke Mortality ◽  
Multivariate Logistic Regression ◽  
Stroke Patients ◽  
Logistic Regression Models ◽  
Case Mix Adjustment

Introduction: Whether weekend admission is associated with increased stroke mortality in Taiwan remains uncertain, partly because of an inadequate case-mix adjustment in other studies using an insurance claims databases. Hypothesis: Adding the 7-item claims-based stroke severity index (SSI) to a multivariate logistic regression model might alter the analysis of the effect of weekend admission on 30-day stroke mortality. Methods: We identified, in the Taiwan Longitudinal Health Insurance Database, which is linked with the National Death Registry, patients hospitalized for acute ischemic stroke between 2001 and 2013. The primary outcome was mortality 30 days post-admission. In base logistic regression models with and without the SSI, we tested the odds ratio (OR) of 30-day mortality in patient admitted on weekends using the covariates of age, sex, year of admission, Charlson’s comorbidity index, brain surgery, physician specialty and surgical volume, hospital ownership, accreditation, and patient volume. Results: We analyzed 46,007 consecutive hospitalized stroke patients (mean age: 68.8 ± 12.0 years; male: 59%), with an SSI of 7.5 ± 5.3 (range: 4.1-27.1), 23.0% were admitted on the weekend, and 4.2% died within 30 days. Patients who died within 30 days were more likely to have been admitted on a weekend (4.9% vs. 4.0%, p < 0.001). Nevertheless, patients admitted on a weekend had a higher SSI than those admitted on a weekday (7.8 vs. 7.4, p < 0.001). In multivariate logistic regression models, weekend admission was associated with 30-day mortality (OR: 1.22, 95% CI: 1.10-1.35) in the base model but not in the base model plus SSI (OR: 1.07, 95% CI: 0.95-1.20). Conclusions: We confirmed that, after stroke severity had been adjust by adding the SSI, weekend admission did not increase the 30-day mortality of stroke patients in Taiwan. A case-mix adjustment in comparative outcome studies of stroke patients is important when using an insurance claims database.

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