scholarly journals Development and validation of prediction scores for nosocomial infections, reoperations, and adverse events in the daily clinical setting of neurosurgical patients with cerebral and spinal tumors

2020 ◽  
pp. 1-11
Author(s):  
Sebastian Lohmann ◽  
Tobias Brix ◽  
Julian Varghese ◽  
Nils Warneke ◽  
Michael Schwake ◽  
...  

OBJECTIVEVarious quality indicators are currently under investigation, aiming at measuring the quality of care in neurosurgery; however, the discipline currently lacks practical scoring systems for accurately assessing risk. The aim of this study was to develop three accurate, easy-to-use risk scoring systems for nosocomial infections, reoperations, and adverse events for patients with cerebral and spinal tumors.METHODSThe authors developed a semiautomatic registry with administrative and clinical data and included all patients with spinal or cerebral tumors treated between September 2017 and May 2019. Patients were further divided into development and validation cohorts. Multivariable logistic regression models were used to develop risk scores by assigning points based on β coefficients, and internal validation of the scores was performed.RESULTSIn total, 1000 patients were included. An unplanned 30-day reoperation was observed in 6.8% of patients. Nosocomial infections were documented in 7.4% of cases and any adverse event in 14.5%. The risk scores comprise variables such as emergency admission, nursing care level, ECOG performance status, and inflammatory markers on admission. Three scoring systems, NoInfECT for predicting the incidence of nosocomial infections (low risk, 1.8%; intermediate risk, 8.1%; and high risk, 26.0% [p < 0.001]), LEUCut for 30-day unplanned reoperations (low risk, 2.2%; intermediate risk, 6.8%; and high risk, 13.5% [p < 0.001]), and LINC for any adverse events (low risk, 7.6%; intermediate risk, 15.7%; and high risk, 49.5% [p < 0.001]), showed satisfactory discrimination between the different outcome groups in receiver operating characteristic curve analysis (AUC ≥ 0.7).CONCLUSIONSThe proposed risk scores allow efficient prediction of the likelihood of adverse events, to compare quality of care between different providers, and further provide guidance to surgeons on how to allocate preoperative care.

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 4549-4549
Author(s):  
Ganta Ranga Raman ◽  
Srividya Nasaka ◽  
Sadashivudu Gundeti ◽  
Vijay Gandhi Linga ◽  
Narendra Anukonda ◽  
...  

Abstract Introduction: The Sokal and Hasford (Euro) scores were developed in the chemotherapy and interferon era and are widely used as prognostic indicators in patients with chronic myeloid leukemia (CML).Recently, European Treatment and Outcome Study (EUTOS) scoring system was introduced. Data on risk stratification in pediatric CML population was lacking due to its rarity [<3%]. Objective: To study the effectiveness in predicting the response and outcome with three prognostic scores in pediatric CML-chronic phase patients on front line Imatinib. Materials and methods: We retrospectively analyzed the hospital records of newly diagnosed CML CP patients [aged ≤18 years] from 2004 to 2010 for their risk score, cytogenetic response and outcome at the end of 4 years. Outcome was measured in terms of event free survival (EFS) at the end of 48 months. Events include loss of hematological response, loss of cytological response, progression to accelerated/ blast phase (AP/BC). All received free Imatinib under Gleevac international patient assistance program. Results: Data of 106 children was analyzed with median age of 13.5 years [ranged 5-18 years] and male preponderance [M:F =1.14:1]. The distribution of children was 63%, 32% and 5% in Sokal low, intermediate and high risk respectively, 50%, 43% and 5% in Hasford/Euro low, intermediate and high risk respectively, 71% and 29% in EUTOS low and high risk respectively. The overall cumulative complete hematological response at the end of 3 month was 94%, and complete cytogenetic response at 18 months was 75%. The CCyR at 18 month was seen in 72%,76% and 100% among Sokal low, intermediate and high risk groups respectively, 74%, 73% and 100% among Hasford/Euro low, intermediate and high risk groups respectively, 81% and 86% EUTOS low and high risk groups respectively. The EFS at the end of 48 months was seen in 72%,64% and 83% among Sokal low, intermediate and high risk groups respectively; 70%, 63% and 83% among Hasford/Euro low, intermediate and high risk groups respectively; 73% and 66% EUTOS low and high risk groups respectively. Conclusion: None of the scoring systems predicted the response and outcome effectively in children with CML CP. Children with EUTOS low risk score had better EFS than high risk score but not statistically significant. These age group CML patients need to be studied and new prognostic scoring systems are needed to risk startify. Limitation of the study: small sample size, not a prospective study Table 1EventsEUTOS low risk n=76 (71%)EUTOS high risk n=30 (29%)p value (Fishers test)CHR at 3mon72/76 (94%)26/30 (86%)0.21CCyR at 12mon58/76 (76%)22/30 (73%)0.8CCyR at 18mon62/76 (81%)26/30 (86%)0.77EFS at 4 yrs56/76 (73%)20/30 (66%)0.48 Table 2 Events Sokal low risk n=66 (63%) Sokal intermediate risk n=34 (32%) Sokal high risk n=6 (5%) p value (Fishers test) CHR at 3mon 60/66 (100%) 34/34 (100%) 6/6 (100%) 0.18 CCyR at 12mon 32/66 (48%) 20/34 (58%) 5/6 (83%) 0.23 CCyR at 18mon 48/66 (72%) 26/34 (76%) 6/6 (100%) 0.4 EFS at 4 yrs 48/66 (72%) 22/34 (64%) 5/6 (83%) 0.6 Table 3 Events Euro low risk n=54 (50%) Euro intermediate risk n=46 (43%) Euro high risk n=6 (5%) p value (Fishers test) CHR at 3 mon 50/54 (92%) 46/46 (100%) 6/6 (100%) 0.16 CCyR at 12 mon 36/54 (66%) 26/46 (56%) 5/6 (83%) 0.36 CCyR at 18 mon 40/54 (74%) 34/46 (73%) 6/6 (100%) 0.46 EFS at 4 yrs 38/54 (70%) 30/46 (63%) 5/6 (83%) 0.94 Disclosures No relevant conflicts of interest to declare.


Author(s):  
M. MAHIMA SWAROOPA ◽  
REDDY PRAVEEN ◽  
S. K. LAL SAHEB ◽  
S. K. SAI RINNISHA ◽  
P. SARANYA ◽  
...  

Objective: To assess the individual’s predicted risk of developing a CVD event in 10 y using risk scores among persons with other disorders/diseases. Methods: This is a cross-sectional observational study conducted for a period of 6 mo among 283 subjects. Total risk was estimated individually by using Framingham Risk Scoring Algorithm and ASCVD risk estimator. Results: According to Framingham Risk score the prevalence of low risk (<10%) identified as 67.84% (192), followed by intermediate risk (10%-19%), 19.08% (54), and high risk (≥20%) 13.07% (37). By using ASCVD Risk estimator, risk has reported in our study population was low risk (<5%) is 48.76% (138), borderline risk (5-7.4%) is 13.07% (37), intermediate risk (7.5-19.9%) is about 25.09% (71), high risk (>20%) is about 13.07% (37). Conclusion: In this study burden of CVD risk was relatively low, which was estimated by both the Framingham scale and ASCVD Risk estimator. Risk scoring of individuals helps us to identify the patients at high risk of CV diseases and also helps in providing management strategies.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e12577-e12577
Author(s):  
Nadeem Bilani ◽  
Leah Elson ◽  
Elizabeth Blessing Elimimian ◽  
Hong Liang ◽  
Zeina A. Nahleh

e12577 Background: Genomic assays, such as the 21-gene OncotypeDX (ODX) and the 70-gene MammaPrint (MP) panels, can be used to personalize treatment for women with early-stage, hormone receptor-positive (HR+), HER2-negative (HER2-) breast cancer (BC). We previously showed that 1) circulating tumor cell (CTC) status has prognostic and predictive value in BC, and that 2) there is no clear association between ODX risk and CTCs. We, hereby, assess the prognostic value of composite scoring combining ODX and CTC data. Methods: This analysis of the 2004-2017 National Cancer Database registry includes patients with early-stage (AJCC I-II), HR+/HER- BC, as well as ODX, MP, and CTC data. A composite model was created with ODX and CTC data: low-risk escalated to intermediate-risk, or intermediate- to high-risk, if positive for CTCs. The association between a) ODX, b) ODX-CTC composite, or c) MP and overall survival (OS) was examined using Cox regressions, controlling for age (50-70); and stratifying by race (White vs. Black) and tumor histology (ductal vs. lobular). Prognostic value was evaluated using Harrell’s C-index (i.e. area under ROC curve) for each model. Results: N = 841,716 patients with early-stage, HR+/HER2- BC were identified. N = 271,416 (32.2%) had ODX data, n = 12,417 (1.5%) had MP data, and n = 1,141 (0.14%) had both ODX and CTC data. Due to CTC-positivity, n = 46 patients were upstaged from low- to intermediate-risk (23.1% of all low-risk), while n = 63 patients were upstaged from intermediate- to high-risk (20.5% of all intermediate-risk) in the composite ODX-CTC model. All 3 prognostic scoring systems were associated (p < 0.05) with OS as per Cox regressions. As indicated by a C-index closer to 1, MP appears superior to ODX alone at differentiating high- from low-risk based on OS (0.597 versus 0.565) patients. However, composite ODX-CTC scoring was superior to MP alone (0.673 versus 0.597). This model could not be validated in Black patients (versus White) or those with lobular histology (compared to ductal) due to limited ODX-CTC data in these groups. Conclusions: Composite ODX-CTC risk scoring appears superior to MP alone. If confirmed, this prognostic model would more accurately identify early-stage, HR+/HER2- patients requiring escalated systemic therapy including chemotherapy compared to low-risk BC. More data is needed in ethnic minorities and patients with atypical histology to validate these promising results.[Table: see text]


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Lisa Sangkum ◽  
Chama Wathanavaha ◽  
Visasiri Tantrakul ◽  
Munthana Pothong ◽  
Cherdkiat Karnjanarachata

Abstract Background Undiagnosed obstructive sleep apnea (OSA) is associated with adverse perioperative outcomes. The STOP-Bang questionnaire is a validated screening tool for OSA. However, its precision may vary among different populations. This study determined the association between high-risk OSA based on the modified STOP-Bang questionnaire and perioperative adverse events. Methods This cross-sectional study included patients undergoing elective surgery from December 2018 to February 2019. The modified STOP-Bang questionnaire includes a history of Snoring, daytime Tiredness, Observed apnea, high blood Pressure, Body mass index > 30 kg/m2, Age > 50, Neck circumference > 40 cm, and male Gender. High risk for OSA was considered as a score ≥ 3. Results Overall, 400 patients were included, and 18.3% of patients experienced perioperative adverse events. On the basis of modified STOP-Bang, the incidence of perioperative adverse events was 23.2 and 13.8% in patients with high risk and low risk (P-value 0.016) (Original STOP-Bang: high risk 22.5% vs. low risk 14.7%, P-value 0.043). Neither modified nor original STOP-Bang was associated with perioperative adverse events (adjusted OR 1.91 (95% CI 0.99–3.66), P-value 0.055) vs. 1.69 (95%CI, 0.89–3.21), P-value 0.106). Modified STOP-Bang ≥3 could predict the incidence of difficult ventilation, laryngoscopic view ≥3, need for oxygen therapy during discharge from postanesthetic care unit and ICU admission. Conclusions Neither modified nor original STOP-Bang was significantly associated with perioperative adverse events. However, a modified STOP-Bang ≥3 can help identify patients at risk of difficult airway, need for oxygen therapy, and ICU admission. Trial registrations This study was registered on Thai Clinical Trials Registry, identifier TCTR20181129001, registered 23 November 2018 (Prospectively registered).


2021 ◽  
Vol 28 (1) ◽  
Author(s):  
Neda Gholizadeh ◽  
Peter B. Greer ◽  
John Simpson ◽  
Jonathan Goodwin ◽  
Caixia Fu ◽  
...  

Abstract Background Current multiparametric MRI (mp-MRI) in routine clinical practice has poor-to-moderate diagnostic performance for transition zone prostate cancer. The aim of this study was to evaluate the potential diagnostic performance of novel 1H magnetic resonance spectroscopic imaging (MRSI) using a semi-localized adiabatic selective refocusing (sLASER) sequence with gradient offset independent adiabaticity (GOIA) pulses in addition to the routine mp-MRI, including T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI) and quantitative dynamic contrast enhancement (DCE) for transition zone prostate cancer detection, localization and grading. Methods Forty-one transition zone prostate cancer patients underwent mp-MRI with an external phased-array coil. Normal and cancer regions were delineated by two radiologists and divided into low-risk, intermediate-risk, and high-risk categories based on TRUS guided biopsy results. Support vector machine models were built using different clinically applicable combinations of T2WI, DWI, DCE, and MRSI. The diagnostic performance of each model in cancer detection was evaluated using the area under curve (AUC) of the receiver operating characteristic diagram. Then accuracy, sensitivity and specificity of each model were calculated. Furthermore, the correlation of mp-MRI parameters with low-risk, intermediate-risk and high-risk cancers were calculated using the Spearman correlation coefficient. Results The addition of MRSI to T2WI + DWI and T2WI + DWI + DCE improved the accuracy, sensitivity and specificity for cancer detection. The best performance was achieved with T2WI + DWI + MRSI where the addition of MRSI improved the AUC, accuracy, sensitivity and specificity from 0.86 to 0.99, 0.83 to 0.96, 0.80 to 0.95, and 0.85 to 0.97 respectively. The (choline + spermine + creatine)/citrate ratio of MRSI showed the highest correlation with cancer risk groups (r = 0.64, p < 0.01). Conclusion The inclusion of GOIA-sLASER MRSI into conventional mp-MRI significantly improves the diagnostic accuracy of the detection and aggressiveness assessment of transition zone prostate cancer.


2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Carly A. Conran ◽  
Zhuqing Shi ◽  
William Kyle Resurreccion ◽  
Rong Na ◽  
Brian T. Helfand ◽  
...  

Abstract Background Genome-wide association studies have identified thousands of disease-associated single nucleotide polymorphisms (SNPs). A subset of these SNPs may be additively combined to generate genetic risk scores (GRSs) that confer risk for a specific disease. Although the clinical validity of GRSs to predict risk of specific diseases has been well established, there is still a great need to determine their clinical utility by applying GRSs in primary care for cancer risk assessment and targeted intervention. Methods This clinical study involved 281 primary care patients without a personal history of breast, prostate or colorectal cancer who were 40–70 years old. DNA was obtained from a pre-existing biobank at NorthShore University HealthSystem. GRSs for colorectal cancer and breast or prostate cancer were calculated and shared with participants through their primary care provider. Additional data was gathered using questionnaires as well as electronic medical record information. A t-test or Chi-square test was applied for comparison of demographic and key clinical variables among different groups. Results The median age of the 281 participants was 58 years and the majority were female (66.6%). One hundred one (36.9%) participants received 2 low risk scores, 99 (35.2%) received 1 low risk and 1 average risk score, 37 (13.2%) received 1 low risk and 1 high risk score, 23 (8.2%) received 2 average risk scores, 21 (7.5%) received 1 average risk and 1 high risk score, and no one received 2 high risk scores. Before receiving GRSs, younger patients and women reported significantly more worry about risk of developing cancer. After receiving GRSs, those who received at least one high GRS reported significantly more worry about developing cancer. There were no significant differences found between gender, age, or GRS with regards to participants’ reported optimism about their future health neither before nor after receiving GRS results. Conclusions Genetic risk scores that quantify an individual’s risk of developing breast, prostate and colorectal cancers as compared with a race-defined population average risk have potential clinical utility as a tool for risk stratification and to guide cancer screening in a primary care setting.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
R Badagliacca ◽  
M D'Alto ◽  
S Ghio ◽  
A Greco ◽  
S Papa ◽  
...  

Abstract Background In pulmonary arterial hypertension (PAH) upfront oral therapy represents the standard of care for naive patients at low and intermediate risk. However little is known about associated changes in risk assessment and prediction of low risk status achievement. Purpose To evaluate determinants of PVR reduction in patients treated with upfront oral therapy and to create a score to predict PVR reduction after upfront oral treatment and compared its additive value on top of the European and REVEAL scoring system in predicting treatment response. Methods One-hundred-eighty-one consecutive naive PAH patients treated with upfront therapy at 11 italian centers were retrospectively evaluated. Evaluation included clinical, hemodynamic and simple echocardiographic parameters, together with European and REVEAL 2.0 risk scores. Results At the time of diagnosis, the majority of the patients was idiopathic PAH (80.6%), female (66.3%), at intermediate risk, 71.8% and 55.2%, respectively, according to the European (average method) and the REVEAL 2.0 risk scores. Ambrisentan-Tadalafil was the most frequent combination used (62%). The median PVR reduction obtained after 180 days (IQR 79–394) was −40.4% (IQR −25.8; −45.3). Age ≥60 years, male-sex, baseline mPAP 48 mmHg associated with low CI (&lt;2.5 l/min/m2), and RV/LV ratio &gt;1 associated with low TAPSE (&lt;18 mm) emerged as independent predictors of poor PVR reduction, defined as the lower tertile of PVR changes (−25.8%). A treatment response score was created deriving weighted integers from the beta coefficient. At second evaluation 78 (43.1%) patients achieved or remained at European-derived low risk status, while 63 (34.8%) considering the REVEAL 2.0 score. Multivariate analysis for the prediction of treatment failure, defined as the absence of low-risk status at follow-up, demonstrated the incremental prognostic power of the models incorporating the treatment response score (≥3) on top of the European and REVEAL 2.0 scores, improving risk discrimination by 63.2% (IDI index 0.056) and 36.8% (IDI index 0.080), respectively. Conclusions A significant proportion of PAH patients treated with upfront oral combination are not able to achieve a low-risk status. The treatment response score helps clinicians in predicting treatment failure at the time of diagnosis. Funding Acknowledgement Type of funding source: None


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Nan Ma ◽  
Lu Si ◽  
Meiling Yang ◽  
Meihua Li ◽  
Zhiyi He

AbstractThere is an urgent need to identify novel biomarkers that predict the prognosis of patients with NSCLC. In this study,we aim to find out mRNA signature closely related to the prognosis of NSCLC by new algorithm of bioinformatics. Identification of highly expressed mRNA in stage I/II patients with NSCLC was performed with the “Limma” package of R software. Survival analysis of patients with different mRNA expression levels was subsequently calculated by Cox regression analysis, and a multi-RNA signature was obtained by using the training set. Kaplan–Meier estimator, log-rank test and receiver operating characteristic (ROC) curves were used to analyse the predictive ability of the multi-RNA signature. RT-PCR used to verify the expression of the multi-RNA signature, and Westernblot used to verify the expression of proteins related to the multi-RNA signature. We identified fifteen survival-related mRNAs in the training set and classified the patients as high risk or low risk. NSCLC patients with low risk scores had longer disease-free survival than patients with high risk scores. The fifteen-mRNA signature was an independent prognostic factor, as shown by the ROC curve. ROC curve also showed that the combined model of the fifteen-mRNA signature and tumour stage had higher precision than stage alone. The expression of fifteen mRNAs and related proteins were higher in stage II NSCLC than in stage I NSCLC. Multi-gene expression profiles provide a moderate prognostic tool for NSCLC patients with stage I/II disease.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
T Satou ◽  
H Kitahara ◽  
K Ishikawa ◽  
T Nakayama ◽  
Y Fujimoto ◽  
...  

Abstract Background The recent reperfusion therapy for ST-elevation myocardial infarction (STEMI) has made the length of hospital stay shorter without adverse events. CADILLAC risk score is reportedly one of the risk scores predicting the long-term prognosis in STEMI patients. Purpose To invenstigate the usefulness of CADILLAC risk score for predicting short-term outcomes in STEMI patients. Methods Consecutive patients admitted to our university hospital and our medical center with STEMI (excluding shock, arrest case) who underwent primary PCI between January 2012 and April 2018 (n=387) were enrolled in this study. The patients were classified into 3 groups according to the CADILLAC risk score: low risk (n=176), intermediate risk (n=87), and high risk (n=124). Data on adverse events within 30 days after hospitalization, including in-hospital death, sustained ventricular arrhythmia, recurrent myocardial infarction, heart failure requiring intravenous treatment, stroke, or clinical hemorrhage, were collected. Results In the low risk group, adverse events within 30 days were significantly less observed, compared to the intermediate and high risk groups (n=13, 7.4% vs. n=13, 14.9% vs. n=58, 46.8%, p&lt;0.001). In particular, all adverse events occurred within 3 days in the low risk group, although adverse events, such as heart failure (n=4), recurrent myocardial infarction (n=1), stroke (n=1), and gastrointestinal bleeding (n=1), were substantially observed after day 4 of hospitalization in the intermediate and high risk groups. Conclusions In STEMI patients with low CADILLAC risk score, better short-term prognosis was observed compared to the intermediate and high risk groups, and all adverse events occurred within 3 days of hospitalization, suggesting that discharge at day 4 might be safe in this study population. CADILLAC risk score may help stratify patient risk for short-term prognosis and adjust management of STEMI patients. Initial event occurrence timing Funding Acknowledgement Type of funding source: None


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