Analysis of fungal bloodstream infection in intensive care units in the Meizhou region of China: species distribution and resistance and the risk factors for patient mortality

Abstract Background : Fungal bloodstream infections (FBI) among intensive care unit (ICU) patients are increasing. Our objective was to characterize the fungal pathogens that cause bloodstream infections and determine the epidemiology and risk factors for patient mortality among ICU patients in Meizhou, China. Methods Eighty-one ICU patients with FBI during their stays were included in the study conducted from January 2008 to December 2017. Blood cultures were performed and the antimicrobial susceptibility profiles of the resulting isolates were determined. Logistic multiple regression and receiver operating characteristics (ROC) curve analysis were used to assess the risk factors for mortality among the cases. Results The prevalence of FBI in ICU patients was 0.38% (81/21,098) with a mortality rate of 35.8% (29/81). Ninety-eight strains of bloodstream-infecting fungi, mainly Candida spp., were identified from these patients. Candida albicans was most common (42.9%). Two strains of C. parapsilosis were no-sensitive to caspofungin, C. glabrata were less than 80% sensitive to azole drugs.. Logistic multiple regression showed that age, serum albumin, Acute Physiology and Chronic Health Evaluation (APACHE) II score, three or more underlying diseases, and length of stay in ICU were independent risk factors for mortality in FBI. ROC curve analysis showed that APACHE II scores > 19 and serum albumin ≤ 25g/L were the best predictors of mortality. Conclusion Candida spp. predominated with high mortality rates among cases of FBI in ICU. Thus, clinical staff should enhance overall patient monitoring and especially monitor fungal susceptibility to reduce mortality rates.

Download Full-text

Analysis of fungal bloodstream infection in intensive care units in the Meizhou region of China: species distribution and resistance and the risk factors for patient mortality

10.21203/rs.2.12729/v1 ◽

2019 ◽

Author(s):

Guang-Wen Xiao ◽

Wan-qing Liao ◽

Yuenong Zhang ◽

Xiaodong Luo ◽

Cailing Zhang ◽

...

Keyword(s):

Risk Factors ◽

Intensive Care ◽

Serum Albumin ◽

Roc Curve ◽

Bloodstream Infections ◽

Mortality Rates ◽

Curve Analysis ◽

Roc Curve Analysis ◽

Candida Spp ◽

Icu Patients

Download Full-text

Analysis of fungal bloodstream infection in intensive care units in the Meizhou region of China: species distribution and resistance and the risk factors for patient mortality

10.21203/rs.2.12729/v3 ◽

2020 ◽

Author(s):

Guang-Wen Xiao ◽

Wan-qing Liao ◽

Yuenong Zhang ◽

Xiaodong Luo ◽

Cailing Zhang ◽

...

Keyword(s):

Risk Factors ◽

Intensive Care ◽

Serum Albumin ◽

Roc Curve ◽

Bloodstream Infections ◽

Mortality Rates ◽

Curve Analysis ◽

Roc Curve Analysis ◽

Candida Spp ◽

Icu Patients

Abstract Background : Fungal bloodstream infections (FBI) among intensive care unit (ICU) patients are increasing. Our objective was to characterize the fungal pathogens that cause bloodstream infections and determine the epidemiology and risk factors for patient mortality among ICU patients in Meizhou, China. Methods Eighty-one ICU patients with FBI during their stays were included in the study conducted from January 2008 to December 2017. Blood cultures were performed and the antimicrobial susceptibility profiles of the resulting isolates were determined. Logistic multiple regression and receiver operating characteristics (ROC) curve analysis were used to assess the risk factors for mortality among the cases. Results The prevalence of FBI in ICU patients was 0.38% (81/21,098) with a mortality rate of 35.8% (29/81). Ninety-eight strains of bloodstream-infecting fungi, mainly Candida spp., were identified from these patients. Candida albicans was most common (42.9%). Two strains of C. parapsilosis were no-sensitive to caspofungin, C. glabrata were less than 80% sensitive to azole drugs.. Logistic multiple regression showed that age, serum albumin, Acute Physiology and Chronic Health Evaluation (APACHE) II score, three or more underlying diseases, and length of stay in ICU were independent risk factors for mortality in FBI. ROC curve analysis showed that APACHE II scores > 19 and serum albumin ≤ 25g/L were the best predictors of mortality. Conclusion: Candida spp. predominated with high mortality rates among cases of FBI in ICU. Thus, clinical staff should enhance overall patient monitoring and concurrently monitor fungal susceptibility to reduce mortality rates.

Download Full-text

Central line associated bloodstream infections in cohort of abdominal surgical patients

Acta chirurgica iugoslavica ◽

10.2298/aci1304023m ◽

2013 ◽

Vol 60 (4) ◽

pp. 23-30

Author(s):

Vesna Mioljevic ◽

Miroslav Milicevic ◽

Vesna Bumbasirevic ◽

Vesna Suljagic

Keyword(s):

Risk Factors ◽

Amino Acids ◽

Intensive Care ◽

Bloodstream Infections ◽

Central Line ◽

Aseptic Technique ◽

Candida Spp ◽

Anatomic Site ◽

Study Results ◽

Significant Difference

INTRODUCTION: Central venous catheter (CVC) placement is an unavoidable part of the everyday medical practice. At the same time CVC application is associated with high risk of development of central line-associated bloodstream infections (CLABSIs). These infections are cause of icreased morbidity and mortality rates as well as higer costs of the inpatient treatment2. Risk factors for onset of CLABSIs include duration of catheterization, length of hospital stay before catheterization, anatomic site of placement, CVC placement at the intensive care units (ICU), parenteral nutrition (PN) and ommisions diring CVC placement, use and care. CLABSI incidence rates vary depending on distribution of different risk factors associated with CVC and patient him/herself. The most significant causative organisms of CLABSIs are coagulase-negative Staphylococcocae, Staphylococcus aureus (S.aures), Enterococcus spp. i Candida spp. CLABSIs prevention measures include compliance with the rules of the aseptic technique upon placement, use and care of CVCs, which, based on the study results, may enable prevention of 65% to 70% of cases of CLABSIs. METHODS: A prospective cohort study included 200 patients hospitalized at the intensive care and therapy units of the CCS Clinic of Digestive Surgery in the period November 30th, 2006-November 31st, 2007 in whom CVC was placed for more than 48 hours. All the data necessary for the study were obtained based on the review of the case histories and they were recorded into the individual questionnaires for each patient. The questionnarire included patient information (age, gender, underlying disease, presence of other infections), information related to diagnostic and therapeutic procedures to which the patient was exposed. The incidence of CRBSIs in ICU patients, Institute of Digestive Diseases, CCS over the study period was 10.08 per 1,000 catheter-days. During the study CLABSI more often present in the females. Additionally, application of albumin and amino acids, ICU stay longer that 7 days and CVC application longer than 15 days, significantly more often present in patients with CRBSIs than in the group of patients without CRBSIs. Independent factors for development of CRBSI are gender, administration of albumin and amino acids. The most common microorganisms isolated from hemocultures and CVC were S. aureus and Klebsiella spp., with 31,8% of isolates each. Statistically significant difference was evidenced in frequency of resistance of S. aureus isolates to methicillin in the group of patients with CRBSI in comparison to the group of patients without CLABSIs. CLABSIs prevention measurs include compliance with the rules of the aseptic technique upon placement, use and care of CVCs.

Download Full-text

Factors predictive of cystoid macular oedema following endothelial keratoplasty: a single-centre review of 2233 cases

British Journal of Ophthalmology ◽

10.1136/bjophthalmol-2020-318076 ◽

2021 ◽

pp. bjophthalmol-2020-318076

Author(s):

James Myerscough ◽

Harry William Roberts ◽

Angeli Christy Yu ◽

Michael Mimouni ◽

Luca Furiosi ◽

...

Keyword(s):

Risk Factors ◽

Roc Curve ◽

Macular Oedema ◽

Curve Analysis ◽

Cystoid Macular Oedema ◽

Continuous Variables ◽

Endothelial Keratoplasty ◽

Roc Curve Analysis ◽

Close Observation ◽

Independent Risk Factors

AimsTo describe the incidence of postoperative cystoid macular oedema (CMO) after endothelial keratoplasty (EK) and to identify its contributory risk factors.Methods2233 patients undergoing EK at Ospedali Privati Forlì ‘Villa Igea’, between January 2005 to October 2018 for Descemet stripping automated endothelial keratoplasty (DSAEK) and June 2014 to August 2018 for Descemet membrane endothelial keratoplasty (DMEK) with a minimum follow-up of 18 months were evaluated. Univariate and multivariate analyses were conducted to identify and quantify contributory risk factors. Receiver operating characteristic (ROC) curve analysis were performed to determine ideal cut-off points of continuous variables.ResultsCMO was identified in 2.82% (n=63) of the cases. CMO occurred in 2.36% of DSAEK eyes and in 5.56% of DMEK eyes (p=0.001). Average onset of CMO was 4.27±6.63 months (range: 1–34 months) postoperatively. Compared with those who did not develop CMO, a higher proportion of patients in the CMO group had diabetes (24.2% vs 9.8%, p<0.001) (OR=3.16, 95% CI: 1.72 to 5.81, p<0.001), a higher proportion of patients who underwent DMEK rather than DSAEK (28.6% vs 14.1%, p=0.001) (OR=2.42, 95% CI: 1.35 to 4.33, p=0.003) and were older (70.5±10.0 vs 67.1±14.3 years, p=0.01). Using the cut-off of 67 years as identified by ROC curve analysis, subjects aged >67 years (OR=2.35, 95% CI: 1.30 to 4.26, p=0.005) were more likely to develop CMO. There were no other significant differences between the groups.ConclusionsOlder age (>67 years), diabetes mellitus and DMEK have been identified as independent risk factors for postoperative CMO following EK. Close observation is necessary during the first postoperative year after EK, particularly in patients with risk factors.

Download Full-text

Title: Preoperative albumin-to-fibrinogen ratio predicts postoperative pulmonary complications in patients after minimally invasive esophagectomy

10.21203/rs.3.rs-604731/v1 ◽

2021 ◽

Author(s):

Zhang Peng ◽

Zhao Song

Keyword(s):

Risk Factors ◽

Esophageal Cancer ◽

Logistic Regression ◽

Roc Curve ◽

Training Group ◽

Pulmonary Complications ◽

Curve Analysis ◽

Postoperative Pulmonary Complications ◽

Multivariate Logistic Regression ◽

Roc Curve Analysis

Abstract Background Postoperative pulmonary complications (PPCs) are the most common postoperative complications in patients with esophageal cancer. Prediction of PPCs by establishing a preoperative physiological function parameter model can help patients make adequate preoperative preparation, reduce treatment costs, and improve prognosis and quality of life. The purpose of this study was to investigate the relationship between albumin-to-fibrinogen ratio (AFR), prognostic nutritional index (PNI), albumin-to-globulin ratio (AGR), neutrophils-to-lymphocyte ratio (NLR), platelet-to-lymphocyte (PLR), and monocyte-to -lymphocyte ratio (MLR) and other preoperative laboratory tests and PPCs in patients after esophagectomy. Methods Retrospective analysis was performed on total 712 consecutive patients who underwent esophagectomy in the Department of Thoracic Surgery, The First Affiliated Hospital of Zhengzhou University from July 2018 to December 2020. Patients were divided into training (535 patients) and validation (177) groups for comparison of baseline data, perioperative indicators, and laboratory examination data. Receiver operating characteristic (ROC) curve analysis was used to evaluate the efficacy, sensitivity and specificity of AFR, and Youden’s index was used to calculate the cut-off values of AFR. Univariate and multivariate logistic regression analyses were used to assess the risk factors for PPCs in training group. Results 112 (20.9%) in training group and 36 (20.3%) in validation group developed PPCs. The AUC value predicted by AFR using ROC curve analysis was 0.817, sensitivity 76.2% and specificity 78.7% in training group while AUC 0.803, sensitivity 69.4% and specificity 85.8%. Multivariate logistic regression analysis showed that smoking index, American Society of Anesthesiologists (ASA), AFR, and recurrent laryngeal nerve palsy were independent risk factors for PPCs. Conclusion Preoperative AFR can effectively predict the occurrence of PPCs in patients with esophageal cancer

Download Full-text

CA19.9 Serum Level Predicts Lymph-Nodes Status in Resectable Pancreatic Ductal Adenocarcinoma: A Retrospective Single-Center Analysis

Frontiers in Oncology ◽

10.3389/fonc.2021.690580 ◽

2021 ◽

Vol 11 ◽

Author(s):

Alessandro Coppola ◽

Vincenzo La Vaccara ◽

Michele Fiore ◽

Tommaso Farolfi ◽

Sara Ramella ◽

...

Keyword(s):

Serum Albumin ◽

Pancreatic Ductal Adenocarcinoma ◽

Roc Curve ◽

Normal Serum ◽

Curve Analysis ◽

Nodal Status ◽

Ductal Adenocarcinoma ◽

Resection Margins ◽

Roc Curve Analysis ◽

Ca 19.9

BackgroundThe choice between upfront surgery or neoadjuvant treatments (NAT) for resectable pancreatic ductal adenocarcinoma (R-PDAC) is controversial. R-PDAC with potential nodal involvement could benefit from NT. Ca (Carbohydrate antigen) 19.9 and serum albumin levels, alone or in combination, have proven their efficacy in assessing PDAC prognosis. The objective of this study was to evaluate the role of Ca 19.9 serum levels in predicting nodal status in R-PDAC.MethodsPreoperative Ca 19.9, as well as serum albumin levels, of 165 patients selected for upfront surgery have been retrospectively collected and correlated to pathological nodal status (N), resection margins status (R) and vascular resections (VR). We further performed ROC curve analysis to identify optimal Ca 19.9 cut-off for pN+, R+ and vascular resection prediction.ResultsIncreased Ca 19.9 levels in 114 PDAC patients were significantly associated with pN+ (p <0.001). This ability, confirmed in all the series by ROC curve analysis (Ca 19.9 ≥32 U/ml), was lost in the presence of hypoalbuminemia. Furthermore, Ca 19.9 at the cut off >418 U/ml was significantly associated with R+ (87% specificity, 36% sensitivity, p 0.014). Ca 19.9, at the cut-off >78 U/ml, indicated a significant trend to predict the need for VR (sensitivity 67%, specificity 53%; p = 0.059).ConclusionsIn R-PDAC with normal serum albumin levels, Ca 19.9 predicts pN+ and R+, thus suggesting a crucial role in deciding on NAT.

Download Full-text

The Prediction Model of Risk Factors for COVID-19 Developing into Severe Illness Based on 1046 Patients with COVID-19

Emergency Medicine International ◽

10.1155/2021/7711056 ◽

2021 ◽

Vol 2021 ◽

pp. 1-11

Author(s):

Zhichuang Lian ◽

Yafang Li ◽

Wenyi Wang ◽

Wei Ding ◽

Zongxin Niu ◽

...

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Regression Analysis ◽

Prediction Model ◽

Logistic Regression Analysis ◽

Roc Curve ◽

Curve Analysis ◽

Severe Illness ◽

Roc Curve Analysis ◽

Underlying Diseases

This study analyzed the risk factors for patients with COVID-19 developing severe illnesses and explored the value of applying the logistic model combined with ROC curve analysis to predict the risk of severe illnesses at COVID-19 patients’ admissions. The clinical data of 1046 COVID-19 patients admitted to a designated hospital in a certain city from July to September 2020 were retrospectively analyzed, the clinical characteristics of the patients were collected, and a multivariate unconditional logistic regression analysis was used to determine the risk factors for severe illnesses in COVID-19 patients during hospitalization. Based on the analysis results, a prediction model for severe conditions and the ROC curve were constructed, and the predictive value of the model was assessed. Logistic regression analysis showed that age (OR = 3.257, 95% CI 10.466–18.584), complications with chronic obstructive pulmonary disease (OR = 7.337, 95% CI 0.227–87.021), cough (OR = 5517, 95% CI 0.258–65.024), and venous thrombosis (OR = 7322, 95% CI 0.278–95.020) were risk factors for COVID-19 patients developing severe conditions during hospitalization. When complications were not taken into consideration, COVID-19 patients’ ages, number of diseases, and underlying diseases were risk factors influencing the development of severe illnesses. The ROC curve analysis results showed that the AUC that predicted the severity of COVID-19 patients at admission was 0.943, the optimal threshold was −3.24, and the specificity was 0.824, while the sensitivity was 0.827. The changes in the condition of severe COVID-19 patients are related to many factors such as age, clinical symptoms, and underlying diseases. This study has a certain value in predicting COVID-19 patients that develop from mild to severe conditions, and this prediction model is a useful tool in the quick prediction of the changes in patients’ conditions and providing early intervention for those with risk factors.

Download Full-text

Risk factors to predict ocular metastasis in older adult patients with gastric cancer:LDL, ApoA1, and CA724

10.21203/rs.3.rs-245016/v1 ◽

2021 ◽

Author(s):

Wenqing Shi ◽

Shinan Wu ◽

Tie Sun ◽

Huiye Shu ◽

Qichen Yang ◽

...

Keyword(s):

Risk Factors ◽

Older Adult ◽

Roc Curve ◽

Demographic Characteristics ◽

Curve Analysis ◽

Adult Patients ◽

Apolipoprotein A1 ◽

Roc Curve Analysis ◽

Significant Difference ◽

Ocular Metastasis

Abstract Background: Gastric cancer (GC) is one of the most common malignancies in the population. Although the incidence of GC has reduced, patient prognosis remains poor. Ocular metastases (OM) from GC are rare, and the occurrence of OM is often indicative of severe disease. The purpose of this study was to explore the risk factors for OM of GC.Methods: A total of 1165 older adult patients with GC were enrolled in this study from June 2003 to May 2019 and divided into OM and non-ocular metastasis (NOM) groups. Chi-square and independent samples t tests were used to determine whether differences in demographic characteristics and serological indicators (SI) between the two groups were significant. In addition, binary logistic regression was used to analyze the value of various SI as risk factors for OM in patients with GC. The statistical threshold was set as P < 0.05. Finally, receiver operating characteristic (ROC) curve analysis was used to assess the diagnostic value of various SI in differentiating the occurrence of OM in patients with GC. Results: The incidence of OM in older adults with GC was 1.1%. Adenocarcinoma was the most common type of GC in both groups, and there was no significant difference in demographic characteristics, including sex and age between the groups. Low-density lipoprotein (LDL), carbohydrate antigen-724 (CA724), and carcinoembryonic antigen levels were significantly higher in the OM group than the NOM group, while those of apolipoprotein A1 (ApoA1) were significantly lower in the OM than the NOM group. Binary logistic analysis showed that LDL, ApoA1, and CA724 were independent risk factors for OM in patients with GC (P < 0.001,P = 0.033, and P = 0.008, respectively). ROC curve analysis generated area under the curve (AUC) values of 0.881, 0.576, and 0.906 for LDL, ApoA1, and CA724, respectively. In addition, combined analysis of LDL, ApoA1, and CA724 generated the highest AUC value of 0.924 (P < 0.001).Conclusion: Among SI, LDL, ApoA1, and CA724 have predictive value for the occurrence of OM in GC, with the three factors combined having the highest value.

Download Full-text

Candidemia in Intensive Care Units Over Nine Years at a Large Italian University Hospital

10.21203/rs.3.rs-79457/v1 ◽

2020 ◽

Author(s):

Sara Mazzanti ◽

Lucia Brescini ◽

Gianluca Morroni ◽

Elena Orsetti ◽

Antonella Pocognoli ◽

...

Keyword(s):

Intensive Care ◽

Incidence Rate ◽

Intensive Care Units ◽

Antifungal Therapy ◽

Bloodstream Infections ◽

Mortality Rates ◽

University Hospital ◽

Related Factors ◽

Icu Patients ◽

Over Time

Abstract Purpose: Candidemia is an alarming problem in critically ill patients including those admitted in intensive care units (ICUs). We aimed to describe the clinical and microbiological characteristics of bloodstream infections (BSIs) due to Candida spp. in patients admitted to ICUs of an italian tertiary referral university hospital over nine years. Methods: A retrospective observational study of all cases of candidemia in adult patients was carried out from January 1, 2010 to December 31, 2018 at a 980-bedded University Hospital in Ancona, Italy, counting five ICUs. The incidence, demographics, clinical and microbiologic characteristics, therapeutic approaches and outcomes of ICU-patients with candidemia were collected. Early (7 days from the occurrence of the episode of Candida BSI) and late (30 days) mortality rates were calculated. Results: During the study period, 188/505 (36%) episodes of candidemia occurred in ICU patients. Incidence rate was 9.9/1000 ICU admission and it showed to be stable over time. Candida albicans accounted for 52% of the cases, followed by C. parapsilosis (24%), and C. glabrata (14%). With the exception of isolates of C. tropicalis which showed to be fluconazole resistant in 25% of the cases, resistance to antifungals was not of concern in our patients. Early and late mortality rates were 19% and 41%, respectively and did not increased significantly over time. Independent risk factors for higher mortality were septic shock, acute kidney failure, pulmonary embolism and lack of antifungal therapy. The type of antifungal therapy did not influence the outcome. Conclusion: Neither incidence rate nor crude mortality of candidemia in ICU patients increased over time at our institution. However, mortality rate remained high and significantly associated with specific host-related factors.

Download Full-text

Nucleated Red Blood Cells: Could They Be Indicator Markers of Illness Severity for Neonatal Intensive Care Unit Patients?

Children ◽

10.3390/children7110197 ◽

2020 ◽

Vol 7 (11) ◽

pp. 197

Author(s):

Rozeta Sokou ◽

Georgios Ioakeimidis ◽

Maria Lampridou ◽

Abraham Pouliakis ◽

Andreas G. Tsantes ◽

...

Keyword(s):

Intensive Care Unit ◽

Intensive Care ◽

Critically Ill ◽

Roc Curve ◽

Blood Cells ◽

Neonatal Intensive Care ◽

Curve Analysis ◽

Roc Curve Analysis ◽

Nucleated Red Blood Cells ◽

Critically Ill Neonates

Background: We aimed to assess whether nucleated red blood cells (NRBCs) count could serve as a diagnostic and prognostic biomarker for morbidity and mortality in critically ill neonates. Methods: The association between NRBCs count and neonatal morbidity and mortality was evaluated in an observational cohort of critically ill neonates hospitalized in our neonatal intensive care unit over a period of 69 months. The discriminative ability of NRBCs count as diagnostic and prognostic biomarkers was evaluated by performing the Receiver Operating Characteristics (ROC) curve analysis. Results: Among 467 critically ill neonates included in the study, 45 (9.6%) of them experienced in-hospital mortality. No statistically significant difference was found with regards to NRBCs count between survivors and non-survivors, although the median value for NRBCs was sometimes higher for non-survivors. ROC curve analysis showed that NRBCs is a good discriminator marker for the diagnosis of perinatal hypoxia in neonates with area under the curve (AUC) [AUC 0.710; 95% confidence interval (CI), 0.660–0.759] and predominantly in preterm neonates (AUC 0.921 (95% CI, 0.0849–0.0993)) by using a cut-off value of ≥11.2%, with 80% sensitivity and 88.7% specificity. NRBCs also revealed significant prognostic power for mortality in septic neonates (AUC 0.760 (95% CI, 0.631–0.888)) and especially in preterms with sepsis (AUC 0.816 (95% CI, 0.681–0.951)), with cut-off value ≥ 1%, resulting in 81.6% sensitivity and 78.1% specificity. Conclusion: NRBCs count may be included among the early diagnostic and prognostic markers for sick neonates.

Download Full-text