A Novel Risk Predictive Scoring Model For Predicting Subsequent Infection After Carbapenem-Resistant Gram-Negative Bacteria Colonization In Hematological Malignancies Patients

2021 ◽  
Author(s):  
Qiuling Wu ◽  
Chenjing Qian ◽  
Hua Ying ◽  
Fang Liu ◽  
Yaohui Wu ◽  
...  
Keyword(s):  
High Risk ◽  
Hematological Malignancies ◽  
Risk Group ◽  
High Risk Group ◽  
Gram Negative Bacteria ◽  
Clinical Infection ◽  
Subsequent Infection ◽  
Gram Negative ◽  
Scoring Model ◽  
Carbapenem Resistant

Abstract PurposeTo investigate the high-risk factors associated with the increased vulnerability for subsequent clinical infection in Carbapenem-resistant Gram-negative bacteria (CR-GNB) colonized hematological malignancies (HMs) patients, and build a statistical model to predict subsequent infection.MethodAll adult HMs patients with positive anal swab culture for CR-GNB between January 2018 and June 2020 were prospectively followed to assess for any subsequent CR-GNB infections and to investigate the risk factors and clinical features of subsequent infection.ResultsA total of 392 HMs patients were enrolled. Of them, 46.7% developed a subsequent clinical infection, and 42 (10.7%) were confirmed infection and 141 (36%) were clinically diagnosed infection. Klebsiella pneumoniae was the dominant species. The overall mortality rate of patients colonized and infected with CR-GNB was 8.6% and 43.7%. A multivariate analysis showed that remission induction chemotherapy, the duration of agranulocytosis, mucositis, and hypoalbuminemia were significant predictors of subsequent infection after CR-GNB colonization. According to our novel risk predictive scoring model, the high-risk group were > 3 times more likely to develop a subsequent infection in comparison with the low-risk group.ConclusionOur risk predictive scoring model can early and accurately predict subsequent infection in HMs patients with CR-GNB colonization. Early administration of CR-GNB-targeted empirical therapy in the high-risk group is strongly recommended to decrease their mortality.

scholarly journals Prediction of Prognosis in Adult Patients With Carbapenem-Resistant Klebsiella pneumoniae Infection

2022 ◽  
Vol 11 ◽  
Author(s):  
Jihui Chen ◽  
Yu Yang ◽  
Huimin Yao ◽  
Shuhong Bu ◽  
Lixia Li ◽  
...  
Keyword(s):  
High Risk ◽  
Klebsiella Pneumoniae ◽  
Treatment Effectiveness ◽  
Risk Group ◽  
Clinical Information ◽  
Tertiary Hospital ◽  
High Risk Group ◽  
Adult Patients ◽  
Carbapenem Resistant ◽  
Prediction Of Prognosis

ObjectiveCarbapenem-resistant Klebsiella pneumoniae (CRKP) infections are associated with poor patient outcomes. We aimed to analyze the clinical information of adult patients with CRKP infection in order to establish a nomogram for mortality risk as well as to determine the treatment effectiveness of different antimicrobial regimens.MethodsAdult patients diagnosed with CRKP infection in a tertiary hospital in Shanghai between September 2019 and March 2021 were included. The clinical characteristics and clinical outcomes of these patients were analyzed.ResultsA total of 199 cases of CRKP infection were examined. Five factors, namely age ≥65 years, respiratory failure, Sequential Organ Failure Assessment score, serum procalcitonin ≥5 ng/mL, and appropriate treatments in 3 days, were found to be associated with 30-day mortality. Upon incorporating these factors, the nomogram achieved good concordance indexes of 0.85 (95% confidence interval [CI]: 0.80–0.90) and well-fitted calibration curves. Receiver-operating characteristic curves for 7-, 15-, and 30-day survival had areas under the curve of 0.90, 0.87, and 0.88, respectively. Three-drug combination therapy was observed to be associated with lower mortality in the high-risk group (adjusted hazard ratio = 0.24, 95% CI: 0.06–0.99) but not in the low-risk group. Ceftazidime–avibactam, fosfomycin, and amikacin were effective against infections caused by CRKP. Tigecycline improved the treatment efficiency in 7 days, but a trend toward increased mortality was seen (HR, 1.69; 95% CI: 0.98–2.94; P = 0.061).ConclusionThe antimicrobial regimen efficacy data and the predictive nomogram established in this study can help clinicians in identifying high-risk adult patients with CRKP infection, improving the therapeutic effect, and reducing mortality.

scholarly journals Risk scoring model to predict recurrence in locally advanced breast cancer (LABC) treated with neoadjuvant chemotherapy (NACT).

2019 ◽  
Vol 5 (suppl) ◽  
pp. 98-98
Author(s):  
Sushma Agrawal ◽  
Prabhakar Mishra ◽  
Punita Lal ◽  
Gaurav Agarwal ◽  
Amit Agarwal ◽  
...  
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Risk Group ◽  
Locally Advanced ◽  
High Risk Group ◽  
Low Risk ◽  
Scoring Model ◽  
Group Score ◽  
Risk Scoring ◽  
Independent Risk Factors

98 Background: Complete response (CR) to NACT portends favorable long term outcomes in LABC. There is a need for a tool to risk categorise patients for recurrence risk (RR), so that intensification of treatment can be offered to women with high risk of recurrence. Methods: A prospectively maintained database of LABC (between January 2007 to December 2012), who received NACT followed by definitive surgery, radiotherapy and endocrine therapy in endocrine sensitive disease was retrospectively analyzed for clinico-pathological and treatment factors affecting disease free survival (DFS). A risk scoring model was developed on the basis of beta coefficients of identified independent risk factors for DFS. Results: The incidence of loco-regional relapse was 8% and that of distant metastases was 32% in a dataset of 206 patients at a median follow-up of 47 months (IQR 24-62 mo). The independent risk factors for recurrence were index T stage [HR 1.8 (0.9-3.6)], N stage [HR 1.7 (0.4 – 4.7)], grade [HR 1.8 (0.8-4.2)], age less than and more than 40 years [HR 1.6 (0.4-0.9)], pathologic CR [HR 4.3 (1.7- 10.7)], intrinsic subtype [HR 2.2 (1.3-3.7)], and type of surgery (BCS vs MRM) [HR 2.2 (1.3-3.6)]. The ROC of the model for the prediction of recurrence was 0.67 (95 % CI: 0.61-0.75). The results of this model were validated by dividing the population into 3 risk groups: low risk (score less than 12), intermediate risk group (score between 13-15), high risk group (score 16 or more). The chances of recurrence are 16% versus 34% versus 57% in low, intermediate and high risk group respectively. Presence of three risk factors implies low risk, five intermediate and more than five high risk. Conclusions: The risk scoring model developed by us predicts RR and can be used for selecting patients for treatment intensification in high risk category.

scholarly journals Multidrug-Resistant Gram-Negative Bacteria: Inter- and Intradissemination Among Nursing Homes of Residents With Advanced Dementia

2015 ◽  
Vol 36 (8) ◽  
pp. 930-935 ◽  
Author(s):  
Erika M. C. D’Agata ◽  
Daniel Habtemariam ◽  
Susan Mitchell
Keyword(s):  
Nursing Home ◽  
Nursing Homes ◽  
Risk Group ◽  
Nursing Home Residents ◽  
Multidrug Resistant ◽  
High Risk Group ◽  
Pulsed Field Gel Electrophoresis ◽  
Gram Negative Bacteria ◽  
Advanced Dementia ◽  
Gram Negative

OBJECTIVETo quantify the extent of inter– and intra–nursing home transmission of multidrug-resistant gram-negative bacteria (MDRGN) among residents with advanced dementia and characterize MDRGN colonization among these residents.DESIGNProspective cohort study.SETTINGTwenty-two nursing homes in the greater Boston, Massachusetts, area.PATIENTSResidents with advanced dementia.METHODSSerial rectal surveillance cultures for MDRGN and resident characteristics were obtained every 3 months for 12 months or until death. Molecular typing of MDRGN isolates was performed by pulsed-field gel electrophoresis.RESULTSA total of 190 MDRGN isolates from 152 residents with advanced dementia were included in the analyses. Both intra– and inter–nursing home transmission were identified. Genetically related MDRGN strains, recovered from different residents, were detected in 18 (82%) of the 22 nursing homes. The percent of clonally related strains in these nursing homes ranged from 0% to 86% (average, 35%). More than 50% of strains were clonally related in 3 nursing homes. Co-colonization with more than 1 different MDRGN species occurred among 28 residents (18.4%). A total of 168 (88.4%), 20 (10.5%), and 2 (1.0%) of MDRGN isolates were resistant to 3, 4, and 5 different antimicrobials or antimicrobial classes, respectively.CONCLUSIONSMDRGN are spread both within and between nursing homes among residents with advanced dementia. Infection control interventions should begin to target this high-risk group of nursing home residents.Infect Control Hosp Epidemiol2015;36(8):930–935

scholarly journals Identification of a three-long non-coding RNA signature for predicting survival of temozolomide-treated isocitrate dehydrogenase mutant low-grade gliomas

2020 ◽  
pp. 153537022096271
Author(s):  
Ruichun Li ◽  
Wei Chen ◽  
Ping Mao ◽  
Jia Wang ◽  
Jiangpeng Jing ◽  
...  
Keyword(s):  
High Risk ◽  
Survival Time ◽  
Isocitrate Dehydrogenase ◽  
Risk Group ◽  
High Risk Group ◽  
Low Risk ◽  
Low Grade ◽  
Scoring Model ◽  
Low Grade Gliomas ◽  
Model Based

Temozolomide (TMZ) is the major chemotherapy agent in glioma, and isocitrate dehydrogenase (IDH) is a well-known prognostic marker in glioma. O6-methylguanine-DNA methyltransferase promoter methylation (MGMTmethyl) is a predictive biomarker in overall gliomas rather than in IDH mutant gliomas. To discover effective biomarkers that could predict TMZ efficacy in IDH mutant low-grade gliomas (LGGs), we retrieved data of IDH mutant LGGs from TMZ arm of the EORTC22033-26033 trial as the training-set ( n = 83), analyzed correlations between long non-coding RNAs (lncRNAs) and progression-free survival (PFS) using Lasso-Cox regression, and created a risk score (RS) to stratify patients. We identified a three-lncRNA signature in TMZ-treated IDH mutant LGGs. All of the three lncRNAs, as well as the RS derived, were significantly correlated with PFS. Patients were classified into high-risk and low-risk groups according to RS. PFS of the high-risk group was significantly worse than that of the low-risk group ( P < 0.001). AUCs of the three-, four-, and five-year survival probability predicted by RS were 0.73, 0.79, and 0.76, respectively. The predictive role of the three-lncRNA signature was further validated in an independent testing-set, the TCGA-LGGs, which resulted in a significantly worse PFS ( P < 0.001) in the high-risk group. Three-, four-, and five-year survival probabilities predicted by RS were 0.65, 0.69, and 0.84, respectively. Functions of these three lncRNAs involve cell proliferation and differentiation, predicted by their targeting cancer genes. Conclusively, we created a scoring model based on the expression of three lncRNAs, which can effectively predict the survival of IDH mutant LGGs treated with TMZ. Impact statement Currently, no biomarkers known could predict the survival time of IDH mutant LGGs effectively. We discovered and validated a risk scoring model based on three lncRNAs. With this model, three-, four-, and five-year survival time of LGGs could be predicted more accurately, and LGGs could be stratified before TMZ therapy, which is helpful for the precision therapy afterward.

scholarly journals Identification of Immune-Related Prognostic Biomarkers Associated with HPV-Positive Head and Neck Squamous Cell Carcinoma

2021 ◽  
Vol 2021 ◽  
pp. 1-23
Author(s):  
Yifei Chen ◽  
Jin Nie ◽  
Xiangsheng Li ◽  
Tao Fan ◽  
Xiaowen Deng ◽  
...  
Keyword(s):  
Gene Expression ◽  
Squamous Cell Carcinoma ◽  
High Risk ◽  
Cell Carcinoma ◽  
Risk Group ◽  
High Risk Group ◽  
Low Risk ◽  
Survival Prognosis ◽  
Scoring Model ◽  
Risk Scoring

Background. As a type of malignant tumor, head and neck squamous cell carcinoma (HNSCC) seriously threatens human health. This study is aimed at constructing a new, reliable prognostic model. Method. The gene expression profile data of HNSCC patients were downloaded from the Gene Expression Omnibus and The Cancer Genome Atlas databases. The immune-related differentially expressed genes (IRDEGs) related to HNSCC were identified. We then used Cox regression analysis and least absolute shrinkage and selection operator (LASSO) analysis to explore IRDEGs related to the HNSCC prognosis and to construct and validate a risk scoring model and used ESTIMATE to evaluate tumor immune infiltration in HNSCC patients. Finally, we validated IGSF5 expression and function in HNSCC cells. Results. A total of 1,195 IRDEGs were found from the GSE65858 dataset. Thirty-one of the 1,195 IRDEGs were associated with the prognosis of HNSCC. Nine key IRDEGs were further selected using the LASSO method, and a risk scoring model was established for predicting the survival of HNSCC patients. According to the risk scoring model, the prognosis of patients in the high-risk group was worse than that of the low-risk group; the high-risk group had significantly higher immune scores than the low-risk group; and between the high- and low-risk samples, there were significant differences in the proportion of 10 types of cells, including naive cells, plasma cells, and resting CD4+ memory T cells. IGSF5 has low expression in HNSCC, and overexpression of IGSF5 significantly impaired HNSCC cell proliferation. Conclusion. This prognostic risk assessment model can help systematically evaluate the survival prognosis of HNSCC patients and provides a new research direction for the improvement of the survival prognosis of HNSCC patients in clinical practice.

scholarly journals Detection of diverse carbapenem and multidrug resistance genes and high-risk strain types among carbapenem non-susceptible clinical isolates of target gram-negative bacteria in Kenya

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246937
Author(s):  
Lillian Musila ◽  
Cecilia Kyany’a ◽  
Rosslyn Maybank ◽  
Jason Stam ◽  
Valerie Oundo ◽  
...  
Keyword(s):  
High Risk ◽  
Bacterial Species ◽  
Clinical Isolates ◽  
Whole Genome Sequence ◽  
Resistant Bacteria ◽  
Multiple Drug ◽  
Gram Negative Bacteria ◽  
Gram Negative ◽  
Carbapenem Resistant ◽  
Multiple Drug Resistant

Carbapenem-resistant gram-negative bacteria are an increasingly significant clinical threat globally. This risk may be underestimated in Kenya as only four carbapenemase genes in three bacterial species have been described. The study aimed to understand the antibiotic resistance profiles, genes, sequence types, and distribution of carbapenem-resistant gram-negative bacteria from patients in six hospitals across five Kenyan counties by bacterial culture, antibiotic susceptibility testing, and whole-genome sequence analysis. Forty-eight, non-duplicate, carbapenem non-susceptible, clinical isolates were identified across the five counties (predominantly in Nairobi and Kisii): twenty-seven Acinetobacter baumannii, fourteen Pseudomonas aeruginosa, three Escherichia coli, two Enterobacter cloacae, and two Klebsiella pneumoniae. All isolates were non-susceptible to β-lactam drugs with variable susceptibility to tigecycline (66%), minocycline (52.9%), tetracycline (29.4%), and levofloxacin (22.9%). Thirteen P. aeruginosa isolates were resistant to all antibiotics tested. Eleven carbapenemase genes were identified: blaNDM-1, blaOXA-23, -58, -66, -69, and -91 in A. baumannii (STs 1, 2, 164 and a novel ST1475), blaNDM-1 in E. cloacae (STs 25,182), blaNDM-1, blaVIM-1and -6, blaOXA-50 in P. aeruginosa (STs 316, 357, 654, and1203), blaOXA-181, blaNDM-1 in K. pneumoniae (STs 147 and 219), and blaNDM-5 in E. coli (ST164). Five A. baumannii isolates had two carbapenemases, blaNDM-1, and either blaOXA-23 (4) or blaOXA-58 (1). AmpC genes were detected in A. baumannii (blaADC-25), E. cloacae (blaDHA-1 and blaACT-6, 16), and K. pneumoniae (blaCMY). Significant multiple-drug resistant genes were the pan-aminoglycoside resistance16srRNA methyltransferase armA, rmtB, rmtC, and rmtF genes. This study is the first to report blaOXA-420, -58, -181, VIM-6, and blaNDM-5 in Kenyan isolates. High-risk STs of A. baumannii (ST1475, ST2), E. cloacae ST182, K. pneumoniae ST147, P. aeruginosa (ST357, 654), and E. coli ST167, ST648 were identified which present considerable therapeutic danger. The study recommends urgent carbapenem use regulation and containment of high-risk carbapenem-resistant bacteria.

Acromegaly and Obstructive Sleep Apnea: Identifying the High-Risk Group

2019 ◽  
Author(s):  
Xiaojun Zhan ◽  
Chandala Chitguppi ◽  
Ethan Berman ◽  
Gurston Nyquist ◽  
Tomas Garzon-Muvdi ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
High Risk ◽  
Risk Group ◽  
High Risk Group ◽  
Obstructive Sleep

Anamnestic factors that shape reproductive health of women with repeated unsuccessful popygamy in vitro fertilization

2016 ◽  
pp. 140-143
Author(s):  
N.V. Cotsabin ◽  
◽  
O.M. Makarchuk ◽  
Keyword(s):  
High Risk ◽  
Risk Group ◽  
Polycystic Ovary ◽  
High Risk Group ◽  
Stress Factors ◽  
Control Group ◽  
Fertilization In Vitro ◽  
Infertile Women ◽  
Group I

The proportion of patients with multiple unsuccessful attempts of assisted reproductive technology (ART) is about 30% of all patients treated with the use of ART. Women with history of unsuccessful ART attempts - a special category of patients who require emergency attention and a thorough examination at the stage of preparation for superovulation stimulation,the selection of embryos and endometrium preparation for embryo transfer. The objective: to distinguish high-risk group of unsuccessful attempts based on a detailed analysis of anamnestic and clinical data of infertile women with repeated unsuccessful ART attempts that requires more in-depth study of hormonal features, ovarian reserve and condition of the endometrium. Materials and methods. For better understanding of the problem of repeated unsuccessful ART attempts and сreation of efficient infertility treatment algorithms for these couples we conducted a thorough analysis of anamnestic data of three groups of infertile women (105 patients), which were distributed by age: group I – younger than 35, the II group – from 35 to 40, the III group - over 40 years. These groups of patients were compared with each other and with the control group of healthy women (30 persons). Results. Leading stress factors in the percentage three times prevailed in the group of infertile women and had a direct connection with the fact of procedure «fertilization in vitro» and chronic stressors caused by prolonged infertility. Primary infertility was observed significantly more frequent in patients younger than 35 years (p <0.05), secondary infertility - mostly in the second and third experimental groups (p <0.05). Noteworthy significant percentage of wellknown causes of infertility and idiopathic factor in all groups, and the prevalence of tubal-peritoneal factor in the second and third experimental groups, and endocrine dysfunction in the I experimental group. The most common disorder among this category of woman was polycystic ovary syndrome. Frequency of usual miscarriage among patients of I ana II groups was two times higher than in the third group (p <0.05). Among the experimental groups the leading place belongs urinary tract infection, respiratory tract diseases, pathologies of the cardiovascular system. Data of the stratified analysis show an increase likelihood of repeated unsuccessful ART attempts under the influence of constant chronic stress (odds ratio OR=2.06; 95% CI: 0.95–3.17; p<0.05). Conclusions. Among infertile patients with repeated unsuccessful ART attempts must be separated a high risk group of failures. The identity depends on the duration of infertility, female age and leading combination of factors. Key words: repeated unsuccessful ART attempts, anamnesis, infertility, high risk.

Sign in / Sign up

Export Citation Format

Share Document