scholarly journals Risk Factors and Distribution of Pathogens for Pulmonary Infection in Patients with Severe Acute Pancreatitis

2021 ◽  
Vol 4 (1) ◽  
pp. 39
Author(s):  
Quanshui Peng ◽  
Peng Chen ◽  
Di He
Keyword(s):  
Risk Factors ◽  
Acute Pancreatitis ◽  
Severe Acute Pancreatitis ◽  
Drug Sensitivity ◽  
Pulmonary Infection ◽  
Preventive Measures ◽  
Univariate Analysis ◽  
Independent Risk Factors ◽  
Lung Infections ◽  
Pathogen Spectrum

Objective: To investigate risk factors and distribution of pathogens for pulmonary infection in patients with severe acute pancreatitis. Methods: The clinical data of 285 patients with severe acute pancreatitis were retrospectively analyzed. Sputum specimens of patients with lung infections were studied. Univariate analysis and logistic regression were performed to screening the factors correlating to lung infections. Results: Gram-negative bacilli were the principal microorganisms isolated from those lung infections, and these bacterial pathogens demonstrated a marked pattern of antibiotic resistance. It was identified that age (OR 1.05, 95% CI 1.01-1.09, p=0.01), Ranson scores (OR 3.01 , 95% CI 1.13-8.03, p = 0.03) and surgical treatment  (OR4.27, 95% CI 1.03-17.65, p = 0.04)were independent risk factors of lung infections in patients with severe acute pancreatitis. Conclusion: Analysis of pathogen spectrum and drug sensitivity will contribute to choosing antibiotics empirically. And preventive measures aimed at risk factors could help reduce the incidence of lung infections in patients with severe acute pancreatitis. 

scholarly journals Occurrence and Risk Factors of Infected Pancreatic Necrosis in Intensive Care Unit–Treated Patients with Necrotizing Severe Acute Pancreatitis

2021 ◽  
Author(s):  
Henrik Leonard Husu ◽  
Miia Maaria Valkonen ◽  
Ari Kalevi Leppäniemi ◽  
Panu Juhani Mentula
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Acute Pancreatitis ◽  
Intensive Care ◽  
Organ Failure ◽  
Severe Acute Pancreatitis ◽  
Pancreatic Necrosis ◽  
Open Abdomen ◽  
Infected Pancreatic Necrosis ◽  
Independent Risk Factors

Abstract Background In patients with severe acute pancreatitis (SAP), infected pancreatic necrosis (IPN) is associated with a worsened outcome. We studied risk factors and consequences of IPN in patients with necrotizing SAP. Methods The study consisted of a retrospective cohort of 163 consecutive patients treated for necrotizing SAP at a university hospital intensive care unit (ICU) between 2010 and 2018. Results All patients had experienced at least one persistent organ failure and approximately 60% had multiple organ failure within the first 24 h from admission to the ICU. Forty-seven (28.8%) patients had IPN within 90 days. Independent risk factors for IPN were more extensive anatomical spread of necrotic collections (unilateral paracolic or retromesenteric (OR 5.7, 95% CI 1.5–21.1) and widespread (OR 21.8, 95% CI 6.1–77.8)) compared to local collections around the pancreas, postinterventional pancreatitis (OR 13.5, 95% CI 2.4–76.5), preceding bacteremia (OR 4.8, 95% CI 1.3–17.6), and preceding open abdomen treatment for abdominal compartment syndrome (OR 3.6, 95% CI 1.4–9.3). Patients with IPN had longer ICU and overall hospital lengths of stay, higher risk for necrosectomy, and higher readmission rate to ICU. Conclusions Wide anatomical spread of necrotic collections, postinterventional etiology, preceding bacteremia, and preceding open abdomen treatment were identified as independent risk factors for IPN.

scholarly journals Risk Factors for Fetal Death and Maternal AP Severity in Acute Pancreatitis in Pregnancy

2021 ◽  
Vol 9 ◽  
Author(s):  
Xiaolei Shi ◽  
Yuepeng Hu ◽  
Na Pu ◽  
Guofu Zhang ◽  
Jingzhu Zhang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Acute Pancreatitis ◽  
Acute Respiratory Distress Syndrome ◽  
Severe Acute Pancreatitis ◽  
Distress Syndrome ◽  
Fetal Death ◽  
Intrauterine Death ◽  
Gestational Week ◽  
Independent Risk Factors ◽  
In Pregnancy

Background: Acute pancreatitis in pregnancy is a rare but highly life-threatening gestational and perinatal disease.Objective: This study aimed to identify the risk factors for fetal death and acute pancreatitis severity.Methods: This retrospective cohort study enrolled patients with acute pancreatitis in pregnancy in our center from January 1, 2012, to August 1, 2020, and classified them according to two clinical endpoints, fetal outcome and disease severity. The groups were examined and compared according to gestational week, etiology, gravidity and parity, complications in pre- and post-delivery, and medical history. Logistic regression analysis was performed to identify the independent risk factors for fetal death and acute pancreatitis severity.Results: Of the 90 enrolled patients, 28 (31.1%) had fetal death and 43 (47.8%) had severe acute pancreatitis. Logistic regression analysis showed that pre-delivery acute respiratory distress syndrome (OR, 5.8; 95% CI, 1.5–22.4; p = 0.010) and gestational week (OR, 0.9; 95% CI, 0.8–1.0; p = 0.011) were risk factors for fetal death. Gestation week (OR, 1.2; 95% CI, 1.1–1.3; p = 0.003) and fetal intrauterine death (OR, 5.9; 95% CI, 1.8–19.4; p = 0.003) were risk factors for severe acute pancreatitis.Conclusions: Pre-delivery acute respiratory distress syndrome and gestational week were independent risk factors for fetal death. Fetal intrauterine death and gestational week were independent risk factors for severe acute pancreatitis.

scholarly journals Risk factors for cholesterol polyp formation in the gallbladder are closely related to lipid metabolism

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Zhihao Yu ◽  
Changlin Yang ◽  
Xuesong Bai ◽  
Guibin Yao ◽  
Xia Qian ◽  
...  
Keyword(s):  
Risk Factors ◽  
Low Density Lipoprotein ◽  
Univariate Analysis ◽  
Density Lipoprotein ◽  
High Volume ◽  
Population Characteristics ◽  
Polyp Formation ◽  
Logistic Analysis ◽  
Cholesterol Polyp ◽  
Independent Risk Factors

Abstract Background The purpose of this study was to assess the risk factors for cholesterol polyp formation in the gallbladder. Methods This was a multicenter retrospective study based on pathology. From January 2016 to December 2019, patients who underwent cholecystectomy and non-polyp participants confirmed by continuous ultrasound follow-ups were reviewed. Patients in the cholesterol polyp group were recruited from three high-volume centers with a diagnosis of pathologically confirmed cholesterol polyps larger than 10 mm. Population characteristics and medical data were collected within 24 h of admission before surgery. The non-polyp group included participants from the hospital physical examination center database. They had at least two ultrasound examinations with an interval longer than 180 days. Data from the final follow-up of the non-polyp group were analyzed. The risk factors for cholesterol polyp formation were analyzed by comparing the two groups. Results A total of 4714 participants were recruited, including 376 cholesterol polyp patients and 4338 non-polyp participants. In univariate analysis, clinical risk factors for cholesterol polyps were age, male sex, higher body mass index (BMI), higher low-density lipoprotein (LDL), lower high-density lipoprotein (HDL), and higher aspartate aminotransferase (AST) and alanine aminotransferase (ALT) levels. In multivariate logistic analysis, independent risk factors were age > 50 years (odds ratio [OR] = 3.02, 95% confidence interval [CI] 2.33–3.91, P < 0.001], LDL > 2.89 mmol/L (OR = 1.38, 95% CI 1.08–1.78, P = 0.011), lower HDL (OR = 1.78 95% CI 1.32–2.44, P < 0.001), AST > 40 IU/L (OR = 3.55, 95% CI 2.07–6.07, P < 0.001), and BMI > 25 kg/m 2 (OR = 1.32, 95% CI 1.01–1.72, P = 0.037). Conclusions Age, LDL, HDL, AST, and BMI are strong risk factors for cholesterol polyp formation. Older overweight patients with polyps, accompanied by abnormal lipid levels, are at high risk for cholesterol polyps.

scholarly journals Pulmonary infection after cardiopulmonary bypass surgery in children: a risk estimation model in China

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Chunnian Ren ◽  
Chun Wu ◽  
Zhengxia Pan ◽  
Quan Wang ◽  
Yonggang Li
Keyword(s):  
Risk Factors ◽  
Cardiopulmonary Bypass ◽  
Prediction Model ◽  
Congenital Heart ◽  
Bypass Surgery ◽  
Pulmonary Infection ◽  
Regression Analyses ◽  
Cardiopulmonary Bypass Surgery ◽  
Independent Risk Factors ◽  
Individualized Prediction

Abstract Objectives The occurrence of pulmonary infection after congenital heart disease (CHD) surgery can lead to significant increases in intensive care in cardiac intensive care unit (CICU) retention time, medical expenses, and risk of death risk. We hypothesized that patients with a high risk of pulmonary infection could be screened out as early after surgery. Hence, we developed and validated the first risk prediction model to verify our hypothesis. Methods Patients who underwent CHD surgery from October 2012 to December 2017 in the Children’s Hospital of Chongqing Medical University were included in the development group, while patients who underwent CHD surgery from December 2017 to October 2018 were included in the validation group. The independent risk factors associated with pulmonary infection following CHD surgery were screened using univariable and multivariable logistic regression analyses. The corresponding nomogram prediction model was constructed according to the regression coefficients. Model discrimination was evaluated by the area under the receiver operating characteristic curve (ROC) (AUC), and model calibration was conducted with the Hosmer-Lemeshow test. Results The univariate and multivariate logistic regression analyses identified the following six independent risk factors of pulmonary infection after cardiac surgery: age, weight, preoperative hospital stay, risk-adjusted classification for congenital heart surgery (RACHS)-1 score, cardiopulmonary bypass time and intraoperative blood transfusion. We established an individualized prediction model of pulmonary infection following cardiopulmonary bypass surgery for CHD in children. The model displayed accuracy and reliability and was evaluated by discrimination and calibration analyses. The AUCs for the development and validation groups were 0.900 and 0.908, respectively, and the P-values of the calibration tests were 0.999 and 0.452 respectively. Therefore, the predicted probability of the model was consistent with the actual probability. Conclusions Identified the independent risk factors of pulmonary infection after cardiopulmonary bypass surgery. An individualized prediction model was developed to evaluate the pulmonary infection of patients after surgery. For high-risk patients, after surgery, targeted interventions can reduce the risk of pulmonary infection.

scholarly journals Development of Predictive Nomograms for Clinical Use to Quantify the Risk of Amputation in Patients with Diabetic Foot Ulcer

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Bocheng Peng ◽  
Rui Min ◽  
Yiqin Liao ◽  
Aixi Yu
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Prediction Model ◽  
Predictive Factors ◽  
Diabetic Foot ◽  
Univariate Analysis ◽  
Foot Ulcer ◽  
Diabetic Foot Ulcer ◽  
Single Factor ◽  
Independent Risk Factors

Objective. To determine the novel proposed nomogram model accuracy in the prediction of the lower-extremity amputations (LEA) risk in diabetic foot ulcer (DFU). Methods and Materials. In this retrospective study, data of 125 patients with diabetic foot ulcer who met the research criteria in Zhongnan Hospital of Wuhan University from January 2015 to December 2019 were collected by filling in the clinical investigation case report form. Firstly, univariate analysis was used to find the primary predictive factors of amputation in patients with diabetic foot ulcer. Secondly, single factor and multiple factor logistic regression analysis were employed to screen the independent influencing factors of amputation introducing the primary predictive factors selected from the univariate analysis. Thirdly, the independent influencing factors were applied to build a prediction model of amputation risk in patients with diabetic foot ulcer by using R4.3; then, the nomogram was established according to the selected variables visually. Finally, the performance of the prediction model was evaluated and verified by receiver working characteristic (ROC) curve, corrected calibration curve, and clinical decision curve. Results. 7 primary predictive factors were selected by univariate analysis from 21 variables, including the course of diabetes, peripheral angiopathy of diabetic (PAD), glycosylated hemoglobin A1c (HbA1c), white blood cells (WBC), albumin (ALB), blood uric acid (BUA), and fibrinogen (FIB); single factor logistic regression analysis showed that albumin was a protective factor for amputation in patients with diabetic foot ulcer, and the other six factors were risk factors. Multivariate logical regression analysis illustrated that only five factors (the course of diabetes, PAD, HbA1c, WBC, and FIB) were independent risk factors for amputation in patients with diabetic foot ulcer. According to the area under curve (AUC) of ROC was 0.876 and corrected calibration curve of the nomogram displayed good fitting ability, the model established by these 5 independent risk factors exhibited good ability to predict the risk of amputation. The decision analysis curve (DCA) indicated that the nomogram model was more practical and accurate when the risk threshold was between 6% and 91%. Conclusion. Our novel proposed nomogram showed that the course of diabetes, PAD, HbA1c, WBC, and FIB are the independent risk factors of amputation in patients with DFU. This prediction model was well developed and behaved a great accurate value for LEA so as to provide a useful tool for screening LEA risk and preventing DFU from developing into amputation.

scholarly journals Factors Affecting Patients with Concurrent Deep Neck Infection and Acute Epiglottitis

Diagnostics ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 29
Author(s):  
Chia-Ying Ho ◽  
Yu-Chien Wang ◽  
Shy-Chyi Chin ◽  
Shih-Lung Chen
Keyword(s):  
Risk Factors ◽  
Airway Obstruction ◽  
Parapharyngeal Space ◽  
Univariate Analysis ◽  
Significant Risk ◽  
Deep Neck Infection ◽  
Acute Epiglottitis ◽  
Neck Infection ◽  
Submandibular Space ◽  
Independent Risk Factors

Deep neck infection (DNI) is a serious disease of deep neck spaces that can lead to morbidities and mortality. Acute epiglottitis (AE) is a severe infection of the epiglottis, which can lead to airway obstruction. However, there have been no studies of risk factors in patients with concurrent DNI and AE. This study was performed to investigate this issue. A total of 502 subjects with DNI were enrolled in the study between June 2016 and August 2021. Among these patients, 30 had concurrent DNI and AE. The relevant clinical variables were assessed. In a univariate analysis, involvement of the parapharyngeal space (OR = 21.50, 95% CI: 2.905–158.7, p < 0.001) and involvement of the submandibular space (OR = 2.064, 95% CI: 0.961–4.434, p < 0.001) were significant risk factors for concurrent DNI and AE. In a multivariate analysis, involvement of the parapharyngeal space (OR = 23.69, 95% CI: 3.187–175.4, p = 0.002) and involvement of the submandibular space (OR = 2.465, 95% CI: 1.131–5.375, p < 0.023) were independent risk factors for patients with concurrent DNI and AE. There were no differences in pathogens, therapeutic managements (tracheostomy, intubation, surgical drainage), or hospital staying period between the 30 patients with concurrent DNI and AE and the 472 patients with DNI alone (all p > 0.05). However, we believe it is significant that DNI and AE are concurrent because both DNI and AE potentially cause airway obstruction, and concurrence of these two diseases make airway protection more difficult. The infections in critical spaces may cause the coincidence of these two diseases. Involvement of the parapharyngeal space and involvement of the submandibular space were independent risk factors associated with concurrent DNI and AE. There were no differences in pathogens between the concurrent DNI and AE group and the DNI alone group.

scholarly journals Risk factors for a first thrombotic event in antiphospholipid antibody carriers: a prospective multicentre follow-up study

2011 ◽  
Vol 70 (6) ◽  
pp. 1083-1086 ◽  
Author(s):  
Amelia Ruffatti ◽  
Teresa Del Ross ◽  
Manuela Ciprian ◽  
Maria T Bertero ◽  
Sciascia Salvatore ◽  
...  
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Univariate Analysis ◽  
Thrombotic Event ◽  
Multivariate Logistic Regression Analysis ◽  
Antiphospholipid Antibody ◽  
History Of ◽  
Ischaemic Attack ◽  
Independent Risk Factors

ObjectivesTo assess risk factors for a first thrombotic event in confirmed antiphospholipid (aPL) antibody carriers and to evaluate the efficacy of prophylactic treatments.MethodsInclusion criteria were age 18–65 years, no history of thrombosis and two consecutive positive aPL results. Demographic, laboratory and clinical parameters were collected at enrolment, once a year during the follow-up and at the time of the thrombotic event, whenever that occurred.Results258 subjects were prospectively observed between October 2004 and October 2008. The mean±SD follow-up was 35.0±11.9 months (range 1–48). A first thrombotic event (9 venous, 4 arterial and 1 transient ischaemic attack) occurred in 14 subjects (5.4%, annual incidence rate 1.86%). Hypertension and lupus anticoagulant (LA) were significantly predictive of thrombosis (both at p<0.05) and thromboprophylaxis was significantly protective during high-risk periods (p<0.05) according to univariate analysis. Hypertension and LA were identified by multivariate logistic regression analysis as independent risk factors for thrombosis (HR 3.8, 95% CI 1.3 to 11.1, p<0.05, and HR 3.9, 95% CI 1.1 to 14, p<0.05, respectively).ConclusionsHypertension and LA are independent risk factors for thrombosis in aPL carriers. Thromboprophylaxis in these subjects should probably be limited to high-risk situations.

Influence of Luminal Communication on Aortic Enlargement after Hemiarch Replacement for Acute Type A Aortic Dissection

2019 ◽  
Vol 68 (04) ◽  
pp. 294-300
Author(s):  
Gaku Uchino ◽  
Takeshi Yoshida ◽  
Bunpachi Kakii ◽  
Masato Furui
Keyword(s):  
Risk Factors ◽  
Growth Rate ◽  
Aortic Dissection ◽  
Univariate Analysis ◽  
Type A ◽  
Aortic Diameter ◽  
Acute Type ◽  
Type A Aortic Dissection ◽  
Independent Risk Factors ◽  
Hemiarch Replacement

Background Aortic enlargement after hemiarch replacement (HAR) for acute type A aortic dissection (AAAD) is a serious problem. We reviewed our experience and analyzed the risk factors for aortic enlargement. Methods During April 2005 to December 2017, 364 patients underwent HAR for AAAD. Seventy-three patients fulfilled the inclusion criteria. We analyzed the change in aortic diameter, aortic growth rate, and major adverse aortic events (MAAEs) and their association with luminal communication of the aortic arch. Results Anastomotic communication, supra-aortic communication (SAC), and distal aortic communication were found in 34 (46.6%), 28 (38.4%), and 20 (27.4%) patients, respectively. The aortic growth rate was high because of the presence of SAC, distal aortic communication, and the number of coexisting aortic communication. Univariate analysis showed that the presence of SAC and an initial aortic diameter > 35 mm at 20 mm distal to the left subclavian artery and at the pulmonary artery bifurcation (PAB) were risk factors for MAAEs. Multivariate analysis showed that SAC and an initial aortic diameter > 35 mm at the PAB were independent risk factors for MAAEs. Conclusion SAC, distal aortic communication, and the number of coexisting aortic communication are significant risk factors for aortic enlargement after HAR for AAAD. SAC and an initial aortic diameter > 35 mm at the PAB are independent risk factors for MAAEs after this procedure.

scholarly journals Risk Factors of Multidrug Resistant Pathogens Induced Infection in Severe Acute Pancreatitis

Shock ◽  
2020 ◽  
Vol 53 (3) ◽  
pp. 293-298 ◽  
Author(s):  
Xina Li ◽  
Le Li ◽  
Lu Liu ◽  
Yingying Hu ◽  
Shuang Zhao ◽  
...  
Keyword(s):  
Risk Factors ◽  
Acute Pancreatitis ◽  
Severe Acute Pancreatitis ◽  
Multidrug Resistant ◽  
Multidrug Resistant Pathogens
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