Evaluation of Invasive Breast Cancer Using a 12-Chemokine Gene Expression Score: Correlation With Clinical Outcomes
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE86166 | GEO | 2017/12/31
SECONDARY ACCESSION(S): PRJNA340444
REPOSITORIES: GEO
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Project description:Background:There are numerous subjective rating scales available to evaluate outcomes of total knee arthroplasty (TKA). Single Assessment Numerical Evaluation (SANE) score was developed to reduce the burden of patients or clinicians to evaluate patients' status by asking patients to simply rate the current status of their injured body part on a scale of 0-100. The purpose of this study is to investigate the correlation between SANE score and Lysholm score in patients who underwent primary TKA. Methods:Forty-nine patients who underwent primary TKA participated. Patients who underwent bilateral TKA or revision TKA were excluded from this study. They were asked to respond to SANE and Lysholm scores. Regression analysis was used to evaluate the correlation between 2 scores. Bilateral isometric quadriceps strength and limb symmetry index were also measured and recorded. Results:There were a total of 49 patients in the study. The mean age of the subjects was 73.04 ± 6.63 years. The mean height and body weight were 153.37 ± 8.81 cm and 55.51 ± 8.61 kg, respectively. The mean scores for SNAE and Lysholm scores were 66.08 ± 16.77 and 71.0 ± 17.55, respectively. Pearson r correlation coefficient between SANE and Lysholm scores was 0.38 (P = .003). Regression analysis showed statistically significant correlation between 2 scores with r2 of 0.15 (P = .005). The average time from surgery was 16.02 weeks. The mean isometric quadriceps strength was 26.76 ± 11.30 kgf for the involved knee and 40.58 ± 11.55 kgf for the non-involved knee. The limb symmetry index was 66.10% ± 21.51%. Conclusions:The results of the investigation showed that there was a statistically significant, however relatively weak, correlation between SANE score and Lysholm score. SANE score may serve as an alternative method to assess TKA patients' subjective post-operative outcomes to Lysholm score.
| S-EPMC5859662 | biostudies-literature
Project description:Prolongation of prothrombin time (PT) is often encountered in patients with sepsis. On the other hand, thromboelastometry as a global coagulation test might yield normal results. The aim of our study was to evaluate whether prolonged PT in the presence of normal thromboelastometry parameters is associated with severe bleeding in patients with sepsis undergoing invasive procedures. In patients with sepsis undergoing low-risk bleeding invasive procedures (central venous catheter placement, dialysis catheter insertion, drain insertion, and so on) or high-risk bleeding invasive procedures (surgical tracheostomy, surgical laparotomy, thoracotomy, and so on), coagulation was assessed by thromboelastometry using EXTEM test (test for evaluation of the extrinsic pathway of coagulation, contains activator of extrinsic pathway) and with PT. For period of years 2013 to 2016, we assessed occurrence of severe bleeding during those procedures and 24 hours later in patients with prolonged PT and normal thromboelastometry results. This retrospective study was performed at Department of Anaesthesiology and Intensive Care Medicine of Motol University Hospital in Prague. Data from 76 patients with sepsis were analyzed. Median value of international normalized ratio (INR) was 1.59 (min-1.3 and max-2.56), and median value of prothrombin ratio (PR) was 1.5 (min-1.23 and max-2.55) with normal thromboelastometry finding. Despite prolonged INR/PR, no severe bleeding was observed during invasive procedures. Our data show that sepsis may be accompanied by normal thromboelastometry results, despite prolonged values of PT, and invasive procedures were performed without severe bleeding. This approach to coagulation assessment in sepsis may reduce administration of fresh frozen plasma to the patients. The study was registered at Clinical Trials.gov with assigned number NCT02971111.
| S-EPMC6714732 | biostudies-literature
Project description:ObjectivesTo assess whether the Glasgow Admission Prediction Score (GAPS) is correlated with hospital length of stay, 6-month hospital readmission and 6-month all-cause mortality. This study represents a 6-month follow-up of patients who were included in an external validation of the GAPS' ability to predict admission at the point of triage.SettingSampling was conducted between February and May 2016 at two separate emergency departments (EDs) in Sheffield and Glasgow.ParticipantsData were collected prospectively at triage for consecutive adult patients who presented to the ED within sampling times. Any patients who avoided formal triage were excluded from the study. In total, 1420 patients were recruited.Primary outcomesGAPS was calculated following triage and did not influence patient management. Length of hospital stay, hospital readmission and mortality against GAPS were modelled using survival analysis at 6 months.ResultsOf the 1420 patients recruited, 39.6% of these patients were initially admitted to hospital. At 6?months, 30.6% of patients had been readmitted and 5.6% of patients had died. For those admitted at first presentation, the chance of being discharged fell by 4.3% (95% CI 3.2% to 5.3%) per GAPS point increase. Cox regression indicated a 9.2% (95% CI 7.3% to 11.1%) increase in the chance of 6-month hospital readmission per point increase in GAPS. An association between GAPS and 6-month mortality was demonstrated, with a hazard increase of 9.0% (95% CI 6.9% to 11.2%) for every point increase in GAPS.ConclusionA higher GAPS is associated with increased hospital length of stay, 6-month hospital readmission and 6-month all-cause mortality. While GAPS's primary application may be to predict admission and support clinical decision making, GAPS may provide valuable insight into inpatient resource allocation and bed planning.
| S-EPMC6701614 | biostudies-literature
Project description:PurposeThe purpose of this study was to determine if the Single-Assessment Numeric Evaluation (SANE) score correlates with existing validated hip-specific patient-reported outcome measures (PROMs), including the Modified Harris Hip Score (mHHS), the International Hip Outcome Tool (IHOT-33), the Hip Outcome Score, Activities of Daily Living subscale (HOS-ADL), and the Hip Outcome Score, Sport-Specific subscale (HOS-SS), for patients preparing to undergo hip arthroscopy for treatment of femoroacetabular impingement syndrome (FAIS).MethodsA single surgeon's operative database was retrospectively reviewed to identify patients undergoing primary hip arthroscopy for treatment of FAIS from April 2018 to October 2019. Patient-specific factors including age, sex, body mass index (BMI), and duration of symptoms were collected. Preoperative SANE, mHHS, IHOT-33, HOS-ADL, and HOS-SS scores were analyzed. Statistical analysis using Pearson correlation was performed to identify the relationship between the SANE score and the mHHS, IHOT-33, HOS-ADL, and HOS-SS, preoperatively.Results154 patients were included in the study. The mean mHHS was 54.4 ± 11.7; mean IHOT-33 score was 32.7 ± 15.0; mean HOS-SS 42.9 ± 23.7; and mean HOS-ADL was 63.3 ± 1. The mean SANE score was 36.7 ± 19.9. The Simple Hip Score was directly correlated with the mHHS (P < .01), the IHOT-33 (P < .01); the HOS-ADL (P < .01), and the HOS-SS (P < .01). The mean patient age was 35.9 years; 109 (70.8%) were female and 45 (29.2%) were male. Average patient BMI was 26.9. At the time of patient completion of the questionnaire, the majority of patients (65%) had been having symptoms for >1 year.ConclusionThe SANE score was strongly correlated with mHHS, IHOT-33, HOS-ADL, and HOS-SS in the preoperative setting for patients undergoing hip arthroscopy for treatment of FAIS. Given its simplicity, SANE may be a valuable tool for rapid assessment of joint function and pain in this patient population.Level of evidenceIV, therapeutic case series.
| S-EPMC8129469 | biostudies-literature
Project description:To assess the dynamic changes in the immune contexture during early lung carcinogenesis, we performed immune profiling using the nCounter PanCancer Immune Profiling Panel on resected lung ADCs and their precursors .
2021-03-17 | GSE169033 | GEO
Project description:Gene expression profiling of human angiosarcoma samples was performed using the NanoString Human nCounter PanCancer IO 360 Panel
2020-12-01 | GSE162370 | GEO
Project description:BACKGROUND:To evaluate binary classifications and their confusion matrices, scientific researchers can employ several statistical rates, accordingly to the goal of the experiment they are investigating. Despite being a crucial issue in machine learning, no widespread consensus has been reached on a unified elective chosen measure yet. Accuracy and F1 score computed on confusion matrices have been (and still are) among the most popular adopted metrics in binary classification tasks. However, these statistical measures can dangerously show overoptimistic inflated results, especially on imbalanced datasets. RESULTS:The Matthews correlation coefficient (MCC), instead, is a more reliable statistical rate which produces a high score only if the prediction obtained good results in all of the four confusion matrix categories (true positives, false negatives, true negatives, and false positives), proportionally both to the size of positive elements and the size of negative elements in the dataset. CONCLUSIONS:In this article, we show how MCC produces a more informative and truthful score in evaluating binary classifications than accuracy and F1 score, by first explaining the mathematical properties, and then the asset of MCC in six synthetic use cases and in a real genomics scenario. We believe that the Matthews correlation coefficient should be preferred to accuracy and F1 score in evaluating binary classification tasks by all scientific communities.
| S-EPMC6941312 | biostudies-literature
Project description:AIMS/INTRODUCTION:To develop a new non-invasive risk score for undiagnosed diabetes in Chinese people, and to evaluate the incident diabetes risk in those with high-risk scores, but no diabetes on initial testing. MATERIALS AND METHODS:A total of 2,609 participants with no known diabetes (aged 25-74 years) who underwent oral glucose tolerance tests in Hong Kong (HK) were investigated for independent risk factors of diabetes to develop a categorization point scoring system, the Non-invasive Diabetes Score (NDS). This NDS was validated in a cross-sectional study of 2,746 participants in Shaanxi, China. HK participants tested to not have diabetes at baseline were assessed for subsequent incident diabetes rates. RESULTS:In the HK cohort, hypertension, age and body mass index were the key independent risk factors selected to develop the NDS, with ?28 out of 50 NDS points considered as high risk. The area under the receiver operating characteristic curve for undiagnosed diabetes was 0.818 and 0.720 for the HK and Shaanxi cohort, respectively. The negative predictive value was 97.4% (HK) and 95.8% (Shaanxi); the number needed to screen to identify one case of diabetes was five (HK) and 11 (Shaanxi), respectively. Among those that tested non-diabetes at baseline, individuals with NDS ?28 had a threefold risk of incident diabetes during the subsequent 20.9 years, compared with those with NDS <28 (P < 0.001), with a steeper rise in incident diabetes observed in those with NDS at higher tertiles. CONCLUSIONS:This new three-component risk score is a user-friendly tool for diabetes screening, and might inform the subsequent testing interval for high-risk non-diabetes individuals.
| S-EPMC7078083 | biostudies-literature
Project description:Acute kidney injury (AKI) is a common disease, but diagnosis is usually delayed or missed in hospitalized patients. The aim of this study was to investigate the impact of under-recognition of AKI (beyond 3 days after AKI onset) on short-time prognosis. Of 785 patients with under-recognition of AKI and 616 patients with timely-recognition of AKI were propensity matched in a 1:1 ratio. The two groups, with a total of 482 matched patients (241:241), were comparable in baseline covariates. Under-recognition of AKI was not associated with 30-day all-cause mortality in the logistic regression model with covariate adjustment (OR = 1.01, 95% CI = 0.62-1.64, p = 0.967). Sensitivity analyses and subgroup analyses also proved the association. There were also no significant differences in causes of 30-day mortality, in-hospital mortality, recovery of renal function at discharge, length of hospital stay, length of intensive care unit stay or hospitalization costs between the two groups, although timely-recognition group had more chance of renal consult and a little more interventions for AKI. In conclusion, under-recognition of AKI may not be associated with poor short-term outcomes of adult hospitalized patients via these propensity-score-matched analyses.
| S-EPMC6181969 | biostudies-literature
Project description:Processing of the dataset of synthetic phosphopeptides by Savitzki et al. (MCP, 2011) using multiple search engines. Establishment of the D-score: a search engine independent MD-score.
2013-01-23 | PXD000021 | Pride