scholarly journals Pulmonary disease as a risk factor for transfusion-related acute lung injury

2021 ◽  
pp. 00039-2021
Author(s):  
Akira Yokoyama ◽  
Yukiyo Sakamoto ◽  
Taisuke Jo ◽  
Hirokazu Urushiyama ◽  
Hiroyuki Tamiya ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Acute Lung Injury ◽  
Blood Transfusion ◽  
Lung Injury ◽  
Pulmonary Disease ◽  
Conditional Logistic Regression ◽  
Blood Products ◽  
Conditional Logistic Regression Analysis

Transfusion-related acute lung injury (TRALI) is a severe condition characterised by noncardiogenic pulmonary edema that develops within 6 h after blood transfusion. Patient factors and blood products have both been implicated in the development of TRALI; however, the role of pulmonary disease has not been investigated. We aimed to determine whether pulmonary disease is a risk factor for TRALI. We conducted a nested case-control study using data from the Diagnosis Procedure Combination database, a nationwide inpatient database in Japan, between July 2010 and March 2015. Case patients who developed TRALI were 1:4-matched with control patients for sex, age, and same hospital for receipt of blood transfusion. We conducted a multivariable conditional logistic regression analysis to evaluate the associations of TRALI with various factors including comorbidities, body mass index (BMI), and plasma-containing blood products. We identified 2,019,501 hospitalised patients who received a blood transfusion. Among these patients, 72 developed TRALI. The 72 case patients had higher proportions of hematological malignancy, trauma, and interstitial lung disease (ILD) than the 288 matched control patients. The multivariable conditional logistic regression analysis showed that occurrence of TRALI was associated with ILD (odds ratio, 3.88; 95% confidence interval, 1.11–13.6), BMI ≥25.0 kg·m−2 (2.10; 1.05–4.24), and plasma-containing blood products (1.94; 1.10–3.42), but not with infectious lung disease or obstructive airway disease. In conclusion, ILD was an independent risk factor for the development of TRALI. Physicians should be aware of the increased risk of TRALI in patients with ILD.

scholarly journals Branches of the brachiocephalic was an independent risk factor for hemorrhagic pulmonary sheath (HPS) patients with acute Stanford A aortic dissection

2020 ◽  
Author(s):  
Qiuxia Xie ◽  
Haoling Qin ◽  
Ling Lin ◽  
Jian Guan ◽  
Xuhui Zhou
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Aortic Dissection ◽  
Logistic Regression Analysis ◽  
Independent Risk Factor ◽  
Conditional Logistic Regression ◽  
Case Group ◽  
Conditional Logistic Regression Analysis

Abstract Background: AAD refers to the blood flow into the middle membrane through the intimal rupture of the aorta. Hemorrhagic pulmonary sheath (HPS) is a common complication of Stanford-A AAD. The risk factors of HPS are remaining unclear Methods: In this study, we have probed the potential risk factors of HPS patients with acute Stanford A aortic dissection. 18 HPS patients with acute Stanford A aortic dissection were selected as the case group. The age difference ± 5 years and the same sex are set as the matching principles. 36 patients with acute Stanford-A type AD who did not detect HPS in the same period were matched according to the ratio of 1:2. Demographic data, treatment methods, AD-related disease history, clinical symptoms and Charlson comorbidity index (CCI) values of each patient were collected. Meanwhile, the values of the maximum diameter of ascending aorta (mm), aortic dissection range, and the main branch of the aorta, pleural effusion/blood, and pericardial effusion/blood were measured by two experienced cardiovascular radiological physicians. Univariate and multivariate conditional logistic regression analysis was used in this study. Results: CCI value and the branches of the brachiocephalic in the case group were significantly higher than those in the control group (p<0.05). Univariate conditional logistic regression analysis showed CCI and branches of the brachiocephalic were associated with HPS. Multivariate conditional logistic regression analysis suggested that branches of the brachiocephalic were an independent risk factor for HPS (OR=7.02, 95%CI=1.28-38.62, p=0.025). Conclusions: Branches of the brachiocephalic were an independent risk factor for HPS.

scholarly journals Branches of the brachiocephalic was an independent risk factor for hemorrhagic pulmonary sheath (HPS) patients with acute Stanford A aortic dissection

2020 ◽  
Author(s):  
Qiuxia Xie ◽  
Haoling Qin ◽  
Ling Lin ◽  
Jian Guan ◽  
Xuhui Zhou
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Aortic Dissection ◽  
Logistic Regression Analysis ◽  
Independent Risk Factor ◽  
Conditional Logistic Regression ◽  
Case Group ◽  
Conditional Logistic Regression Analysis

Abstract Background: AAD refers to the blood flow into the middle membrane through the intimal rupture of the aorta. Hemorrhagic pulmonary sheath (HPS) is a common complication of Stanford-A AAD. The risk factors of HPS are remaining unclear Methods: In this study, we have probed the potential risk factors of HPS patients with acute Stanford A aortic dissection. 18 HPS patients with acute Stanford A aortic dissection were selected as the case group. The age difference ± 5 years and the same sex are set as the matching principles. 36 patients with acute Stanford-A type AD who did not detect HPS in the same period were matched according to the ratio of 1:2. Demographic data, treatment methods, AD-related disease history, clinical symptoms and Charlson comorbidity index (CCI) values of each patient were collected. Meanwhile, the values of the maximum diameter of ascending aorta (mm), aortic dissection range, and the main branch of the aorta, pleural effusion/blood, and pericardial effusion/blood were measured by two experienced cardiovascular radiological physicians. Univariate and multivariate conditional logistic regression analysis was used in this study. Results: CCI value and the branches of the brachiocephalic in the case group were significantly higher than those in the control group (p<0.05). Univariate conditional logistic regression analysis showed CCI and branches of the brachiocephalic were associated with HPS. Multivariate conditional logistic regression analysis suggested that branches of the brachiocephalic were an independent risk factor for HPS (OR=7.02, 95%CI=1.28-38.62, p=0.025). Conclusions: Branches of the brachiocephalic were an independent risk factor for HPS.

Characteristics of Adenocarcinoma of the Gallbladder Following Cholecystectomies in the Hispanic Population

2019 ◽  
Vol 152 (Supplement_1) ◽  
pp. S64-S65
Author(s):  
David Gustafson ◽  
Osvaldo Padilla
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Incidental Finding ◽  
Conditional Logistic Regression ◽  
Gallbladder Disease ◽  
Predictor Variables ◽  
Wall Thickening ◽  
Conditional Logistic Regression Analysis

Abstract Introduction Gallbladder adenocarcinoma (GBC) is a rare malignancy. Frequency of incidental adenocarcinoma of the gallbladder in the literature is approximately 0.2% to 3%. Typically, GBC is the most common type and is discovered late, not until significant symptoms develop. Common symptoms include right upper quadrant pain, nausea, anorexia, and jaundice. A number of risk factors in the literature are noted for GBC. These risk factors are also more prevalent in Hispanic populations. This study sought to compare patients with incidental gallbladder adenocarcinomas (IGBC) to those with high preoperative suspicion for GBC. Predictor variables included age, sex, ethnicity, radiologic wall thickening, gross pathology characteristics (wall thickness, stone size, stone number, and tumor size), histologic grade, and staging. Methods Cases of GBC were retrospectively analyzed from 2009 through 2017, yielding 21 cases. Data were collected via Cerner EMR of predictor variables noted above. Statistical analysis utilized conditional logistic regression analysis. Results The majority of patients were female (n = 20) and Hispanic (n = 19). There were 14 IGBCs and 7 nonincidental GBCs. In contrast with previous research, exact conditional logistic regression analysis revealed no statistically significant findings. For every one-unit increase in AJCC TNM staging, there was a nonsignificant 73% reduction in odds (OR = 0.27) of an incidental finding of gallbladder carcinoma. Conclusion This study is important in that it attempts to expand existing literature regarding a rare type of cancer in a unique population, one particularly affected by gallbladder disease. Further studies are needed to increase predictive knowledge of this cancer. Longer studies are needed to examine how predictive power affects patient outcomes. This study reinforces the need for routine pathologic examination of cholecystectomy specimens for cholelithiasis.

scholarly journals Association of Adiponectin Gene Variations with Risk of Incident Myocardial Infarction and Ischemic Stroke: A Nested Case-Control Study

2006 ◽  
Vol 52 (11) ◽  
pp. 2021-2027 ◽  
Author(s):  
Hillary H Hegener ◽  
I-Min Lee ◽  
Nancy R Cook ◽  
Paul M Ridker ◽  
Robert YL Zee
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Ischemic Stroke ◽  
Conditional Logistic Regression ◽  
Adiponectin Gene ◽  
Conditional Logistic Regression Analysis ◽  
Caucasian Men ◽  
Potential Risk Factors

Abstract Background: Adiponectin (ADIPOQ) gene variations are associated with risk of cardiovascular disease in patients with diabetes. No prospective data are available, however, on the risk of atherothrombotic disorders in persons with ADIPOQ variations who do not have diabetes. Methods: From a group of DNA samples collected at baseline in a prospective cohort of 14 916 initially healthy American men, we assessed the presence of 5 ADIPOQ genetic variants (rs266729, rs182052, rs822396, rs2241766, and rs1501299) in samples from 600 Caucasian men who subsequently suffered an atherothrombotic event (incident myocardial infarction or ischemic stroke) and from 600 age- and smoking-matched Caucasian men who remained free of reported vascular disease during follow-up (controls). Results: Genotype distributions for the variations tested were in Hardy-Weinberg equilibrium. Marker-by-marker conditional logistic regression analysis, adjusted for potential risk factors, showed an association of rs266729 [recessive: odds ratio (OR), 0.26; 95% confidence interval (CI), 0.10–0.64; P = 0.004] and rs182052 (recessive: OR, 0.40; 95% CI, 0.21–0.76; P = 0.006) with decreased risk of ischemic stroke. These findings remained significant after Bonferroni correction. Haplotype-based (constituted by rs266729, rs182052, and rs822396) conditional logistic regression analysis, adjusted for the same potential risk factors, showed an association of haplotype G-A-G (OR, 0.28; 95% CI, 0.09–0.87; P = 0.03) with decreased risk of ischemic stroke. Prespecified analysis limited to participants without baseline diabetes showed similar significant findings. Conclusions: The present prospective investigation provides further evidence for a protective role of adiponectin gene variation in the risk of ischemic stroke that was independent of the presence of diabetes.

scholarly journals Risiko Stres terhadap Penyakit Jantung Koroner (Analisis Lanjut Studi Kohort Penyakit Tidak Menular): Nested-case control

2020 ◽  
Vol 19 (03) ◽  
pp. 120-125
Author(s):  
Fatikhatul Mabruroh ◽  
Syahrizal Syarif
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Conditional Logistic Regression ◽  
Case Control ◽  
Conditional Logistic Regression Analysis ◽  
Nested Case Control

Penyakit Jantung koroner menjadi masalah kesehatan global baik pada negara maju ataupunberkembang. Stres sebagai salah satu faktor risiko penyakit jantung koroner masih kurangmendapatkan perhatian. Tujuan penelitian ini untuk mengetahui hubungan stres terhadap penyakit jantungkoroner di Kota Bogor tahun 2015. Disain studi yang digunakan dalam penelitian ini adalah nestesd-case control menggunakan data kohort yang dikumpulkan oleh Badan Penelitian dan Pengembangan Kesehatan. Jumlah sampel yang diambil pada penelitian in adalah 1.078 dengan perbandingan kelompok kasus dan kontrol 1:5. Jenis analisis yang digunakan adalah conditional logistic regression analysis. Hasil analisis menunjukkan risiko stres dan variabel lainnya, stres (OR adjusted 1,07 CI 95% 0,49 – 2,33), HDL (OR adjusted 0,8 CI 95% 0,55 – 1,17) , Usia (OR adjusted 1,77 CI 95% 1,07 – 2, 92), LDL (OR adjusted 2,34 CI 95% 1,38 – 3,95), dan kolesterol total (OR adjusted 0,55 CI 95% 0,32 – 0,94) tidak berhubungan secara signifikan pada terjadinya penyakit jantung koroner. Diharapkan terdapat penelitian lainnya menggunakan alat ukur yang lebih spesifik agar dapat meminimalisir adanya misklarifikasi pada melihat asosiasi stres terhadap penyakit jantung koroner.

scholarly journals Clinical Study on Part Factors Affecting the Effect of Platelet Transfusion during Hematopoietic Stem Cell Transplantation

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 4987-4987
Author(s):  
Jie Yang ◽  
Xiuwen Li ◽  
Bao-An Chen
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Stem Cell ◽  
Initial Treatment ◽  
Platelet Transfusion ◽  
Conditional Logistic Regression ◽  
Hematopoietic Stem ◽  
Conditional Logistic Regression Analysis ◽  
Factors Affecting ◽  
Duration Of Disease

Objective :At present, patients with hematopoietic stem cell transplantation (HSCT) are gradually increasing due to hematological diseases. However, there are no further studies on the factors affecting the effect of platelet transfusion during HSCT. This study analyzed the possible factors that affect the platelet transfusion efficiency. Methods: The clinical data of patients with HSCT were collected from the Department of Hematology, Zhongda Hospital Affiliated to Southeast University from March 2015 to March 2018. According to the inclusion and exclusion criteria, a retrospective statistical analysis on the factors affecting the infusion effect was taken in all patients from +1 d to the day that the peripheral blood granulocyte count was more than 0.5×109/L after transplantation. The factors are including gender, age, types of disease, whether initial treatment, platelet inventory days in the effective period, types of transplantation, duration of disease and transfusion times. Furthermore, non-conditional logistic regression analysis was performed on the mentioned factors with statistical significance. Results: A total of 52 patients, 299 platelet transfusions were included in this study. The patients involve 28 men and 24 women, and there were 233 effective infusion and 66 invalid infusion. After chi-square test, the effects of gender, age, disease types, whether initial treatment, transplantation types, duration of disease and transfusion times on platelet transfusion were statistically significant(P<0.05), while platelet inventory days within the validity period had no statistically significant effect on platelet transfusion (P≥0.05). Furthermore, the results of non-conditional logistic regression analysis showed that gender, disease type and whether initial treatment had a statistically significant impact on the effect of platelet transfusion (P<0.05). Conclusion: There are many factors related to poor platelet transfusion during HSCT, in which the gender, disease types and whether initial treatment are the main influencing factors. Disclosures No relevant conflicts of interest to declare.

Morphological and hemodynamic analysis of posterior communicating artery aneurysms prone to rupture: a matched case–control study

2014 ◽  
Vol 8 (1) ◽  
pp. 47-51 ◽  
Author(s):  
Guoli Duan ◽  
Nan Lv ◽  
Jianhua Yin ◽  
Jinyu Xu ◽  
Bo Hong ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Conditional Logistic Regression ◽  
Aneurysm Rupture ◽  
Posterior Communicating Artery ◽  
Patient Specific ◽  
Hemodynamic Parameters ◽  
Conditional Logistic Regression Analysis ◽  
Risk Of Rupture

ObjectivesWe evaluated the correlation between posterior communicating artery (PcomA) aneurysm rupture and morphological and hemodynamic parameters to assess related rupture risk indices.MethodsSix patients with PcomA aneurysms that ultimately ruptured (cases) were studied after initially being included in a prospective database including their three-dimensional (3D) imaging before rupture. For each case, four incidental stable unruptured aneurysms (controls) were randomly selected and matched based on clinical factors. The 3D images from all patients were reconstructed to establish the patient-specific model. Six morphologic parameters and three hemodynamic parameters were measured and calculated. A conditional logistic regression analysis was used to assess the individual risk of rupture.ResultsThe analysis demonstrated a larger aneurysm size (p=0.001), higher aspect ratio (p=0.018), ellipticity index (p<0.001), undulation index (p=0.005), percentage of low wall shear stress (WSS) area (LSA%) (p=0.010), and a lower normalized WSS (p=0.005) in the case group. The multivariate conditional logistic regression analysis demonstrated that only normalized WSS was significantly associated with the rupture of PcomA aneurysms (OR 0.151; 95% CI 0.025 to 0.914; p=0.040).ConclusionsHemodynamics and morphology are closely associated with aneurysm rupture, and WSS may be a more reliable parameter characterizing the rupture status of PcomA aneurysms.

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