Multimetric feature selection for analyzing multicategory outcomes of colorectal cancer: random forest and multinomial logistic regression models.

Colorectal cancer (CRC) is one of the most common cancers worldwide, and a leading cause of cancer deaths. Better classifying multicategory outcomes of CRC with clinical and omic data may help adjust treatment regimens based on individual's risk. Here, we selected the features that were useful for classifying four-category survival outcome of CRC using the clinical and transcriptomic data, or clinical, transcriptomic, microsatellite instability and selected oncogenic-driver data (all data) of TCGA. We also optimized multimetric feature selection to develop the best multinomial logistic regression (MLR) and random forest (RF) models that had the highest accuracy, precision, recall and F1 score, respectively. We identified 2073 differentially expressed genes of the TCGA RNASeq dataset. MLR overall outperformed RF in the multimetric feature selection. In both RF and MLR models, precision, recall and F1 score increased as the feature number increased and peaked at the feature number of 600-1000, while the models' accuracy remained stable. The best model was the MLR one with 825 features based on sum of squared coefficients using all data, and attained the best accuracy of 0.855, F1 of 0.738 and precision of 0.832, which were higher than those using clinical and transcriptomic data. The top-ranked features in the MLR model of the best performance using clinical and transcriptomic data were different from those using all data. However, pathologic staging, HBS1L, TSPYL4, and TP53TG3B were the overlapping top-20 ranked features in the best models using clinical and transcriptomic, or all data. Thus, we developed a multimetric feature-selection based MLR model that outperformed RF models in classifying four-category outcome of CRC patients. Interestingly, adding microsatellite instability and oncogenic-driver data to clinical and transcriptomic data improved models' performances. Precision and recall of tuned algorithms may change significantly as the feature number changes, but accuracy appears not sensitive to these changes.

Is the Proportion of Patients with "Successful" Outcomes After Two-stage Revision for Prosthetic Joint Infection Different When Applying the Musculoskeletal Infection Society Outcome Reporting Tool Compared with the Delphi-based Consensus Criteria?

BACKGROUND: There are a variety of criteria for defining successful treatment after two-stage exchange arthroplasty for prosthetic joint infection (PJI). To accurately assess current practices and improve techniques, it is important to first establish reliable, clinically relevant, reproducible criteria for defining persistent infection and "successful" outcomes. QUESTION/PURPOSE: Is the proportion of patients considered to have successful management of PJI after two-stage resection arthroplasty smaller using 2019 Musculoskeletal Infection Society Outcome Reporting Tool (MSIS ORT) criteria than when using a Delphi-based criterion? METHODS: Patients were retrospectively identified by Current Procedural Technology codes for resection arthroplasty with placement of an antibiotic spacer for infected THA or TKA between April 1, 2011 and January 1, 2018 at a tertiary academic institution. The initial review identified 180 procedures during this time period. Nine patients had documented transition of care outside the system, 16 did not meet the MSIS criteria for chronic PJI, and 34 patients were excluded for lack of documented 2-year follow-up. The mean follow-up duration of the final cohort of 121 procedures in 120 patients was approximately 3.7 ± 1.7 years. Forty percent (49 of 121) of the procedures were performed on the hip and 60% (72 of 121) were performed on the knee. The mean time from primary THA or TKA to explantation was 4.6 years. The mean age of the patients at the time of explantation was 66 years. The mean time from spacer placement to replantation was 119 days. The final 121 patient records were reviewed by a single reviewer and outcomes were subsequently assigned to "successful" and "unsuccessful" outcomes based on the MSIS ORT and Delphi-based consensus criterion, two previously published and validated multidimensional definition schemes. Chi-squared and t-test analyses were performed to identify differences between "successful" and "unsuccessful" outcomes with respect to patient baseline characteristics using each outcome-reporting criterion. RESULTS: Overall, the MSIS ORT classified a smaller proportion of patients as having a "successful" treatment outcome after two-stage exchange arthroplasty for PJI than the Delphi-based consensus method did (MSIS: 55% [63 of 114], Delphi: 70% [71 of 102]; relative risk 0.79 [0.65-0.98]; p = 0.03). However, there were no differences when stratified by hips (MSIS: 55% [26 of 47], Delphi: 74% [29 of 39]; relative risk 0.74 [0.54-1.02]; p = 0.07) and knees (MSIS: 55% [37 of 67], Delphi: 67% [42 of 63]; relative risk 0.83 [0.63-1.09]; p = 0.19). Notably, the disease of 16% of the patients (19 of 121) was not classifiable per the Delphi method because these patients never underwent reimplantation. CONCLUSION: The present study demonstrated that the MSIS criteria detect fewer instances of "successful" infection management after two-stage resection arthroplasty for PJI than the Delphi method in this cohort. Based on these findings, researchers and surgeons should aim for standardized reporting after intervention for PJI to allow for a better comparison of outcomes across different studies and ultimately allow for improved techniques and approaches to the treatment of PJI. LEVEL OF EVIDENCE: Level III, diagnostic study.

Nursing diagnoses and outcomes for children with nutritional anomalies: a descriptive study / Los diagnósticos y resultados de enfermería sobre niños con alteración nutricional: un estudio descriptivo / Diagnósticos e resultados de enfermagem à criança com alteração nutricional: estudo descritivo

ABSTRACT Objectives: to develop nursing diagnoses and outcomes for children with nutritional anomalies based on terms found in a children's clinical protocol and on the 2017 International Classification for Nursing Practice. Methods: exploratory-descriptive study, conducted with the validation of diagnoses/outcomes by six nurses of the children's clinic of the Federal District's teaching hospital. It was based on the cross-mapping between the terms of International Classification for Nursing Practice 2017 and the terms of a children's health care protocol. The list of nursing diagnosis/outcomes was developed, then submitted to the validation process using a Likert-type scale and considering statements with content validity index > 0.79 to be validated. Results: a total of 51 diagnoses/outcomes were generated, and of those, 11 were contained in International Classification for Nursing Practice. Those that were not in it were evaluated for similarity and comprehensiveness in relation to International Classification for Nursing Practice. Thirty nursing diagnoses/outcomes were validated with CVI > 0.79 among the nurses in the validation process. Conclusions: this study will allow the formation of a terminological International Classification for Nursing Practice subset aimed at children's nutrition.

RESUMEN Objetivos: elaborar enunciados diagnósticos y resultados de enfermería sobre el niño con alteración nutricional a partir de términos encontrados en el protocolo clínico pediátrico y en la Clasificación Internacional para la Práctica de Enfermería 2017. Métodos: estudio exploratorio-descriptivo, con la validación de diagnósticos/resultados realizada por seis enfermeras de una Clínica pediátrica del Hospital-Escuela del Distrito Federal (Brasil). Se realizó un mapeo cruzado entre los términos de la Clasificación Internacional para la Práctica de Enfermería 2017 y los términos del Protocolo de Atención Sanitaria del Niño. Se elaboró una lista de diagnósticos/resultados de enfermería, a la cual se sometió al proceso de validación, que utilizó la escala tipo Likert por medio del índice de validez de contenido, que considera válido el enunciado que posee IVC > 0,79. Resultados: de los 51 enunciados diagnósticos/resultados obtenidos, 11 estaban presentes en la Clasificación Internacional para la Práctica de Enfermería. Los diagnósticos no presentes se evaluaron mediante la similitud y el alcance de la Clasificación Internacional para la Práctica de Enfermería. Treinta enunciados diagnósticos/resultados de enfermería con ICV > 0,79 fueron validados por los enfermeros en el proceso. Conclusiones: este estudio puede permitir la formación de un subconjunto terminológico Clasificación Internacional para la Práctica de Enfermería en torno a la nutrición del niño.

RESUMO Objetivos: elaborar enunciados diagnósticos e resultados de enfermagem à criança com alteração nutricional a partir de termos encontrados em protocolo clínico pediátrico e a Classificação Internacional para a Prática de Enfermagem 2017. Métodos: estudo exploratório-descritivo, realizado com validação de diagnósticos/resultados por seis enfermeiras da clínica pediátrica do hospital-escola do Distrito Federal. Realizou-se mapeamento cruzado entre os termos da Classificação Internacional para a Prática de Enfermagem 2017 com termos do protocolo de atenção à saúde da criança. Foram elaborados a lista de diagnósticos/resultados de enfermagem, essa lista foi submetida ao processo de validação com utilização da escala tipo Likert por meio do índice de validade de conteúdo, que considera validado o enunciado que possuir IVC > 0,79. Resultados: gerados 51 enunciados diagnósticos/resultados, dessas, 11 constantes na Classificação Internacional para a Prática de Enfermagem. Os diagnósticos não constantes foram avaliados conforme similaridade e abrangência à Classificação Internacional para a Prática de Enfermagem. 30 enunciados diagnósticos/resultados de enfermagem foram validados, possuindo ICV > 0,79 entre os enfermeiros, no processo de validação. Conclusão: este estudo possibilitará a formação de um subconjunto terminológico Classificação Internacional para a Prática de Enfermagem voltado à nutrição da criança.

New SMS classification of cochleovestibular malformation and its impact on decision-making.

OBJECTIVE: To propose a new classification of inner-ear anomalies that is more clinically oriented and surgically relevant: the SMS (Sawai Man Singh) classification of cochleovestibular malformations. METHODS: A retrospective multicentric study was conducted of 436 cochlear implantations carried out in 3 Indian tertiary care institutes. Patients with anomalous anatomy were included and classified, as per the new SMS classification, into cochleovestibular malformation types I, II, III and IV, based on cochlear morphology, modiolus and lamina cribrosa. RESULTS: There were 19, 23, 8 and 4 patients with cochleovestibular malformation types I, II, III and IV, respectively. Two-year post-operative Meaningful Auditory Integration Scale scores were statistically analysed. CONCLUSION: This new classification for inner-ear anomalies is a simpler, more practical, outcome-oriented classification that can be used to better plan the surgery. These merits make it a more uniform classification for recording results.

Impact of Disagreement Between Two Risk Group Models on Prognosis in Patients With Metastatic Renal-Cell Carcinoma.

PURPOSE: To investigate the impact of the risk group disagreement between the Memorial Sloan Kettering Cancer Center (MSKCC) and the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) models on prognosis. PATIENTS AND METHODS: We retrospectively evaluated 176 patients with metastatic renal-cell carcinoma who were treated with tyrosine kinase inhibitors as first-line therapy in 5 hospitals between October 2008 and August 2018. The risk group classification differences between the MSKCC and the IMDC models were evaluated using criteria of agreement (identical risk group in both the MSKCC and IMDC models) and disagreement (not identical risk group in both the MSKCC and IMDC models). The agreement of risk stratification between the models was evaluated using the Cohen κ coefficient. Oncologic outcomes were compared between the agreement and disagreement groups. RESULTS: The number of patients with agreement, upgrade, and downgrade was 135 (77%), 39 (22%), and 2 (1.1%), respectively. Of 41 patients with disagreement, reclassification from the MSKCC-intermediate to the IMDC-poor risk group was most frequent (n = 34, 19%). The Cohen κ coefficient for agreement was substantial, with κ = 0.613 (P < .001). Significantly poorer prognosis was observed in patients with disagreement than in those with agreement. Neutrophil count, hemoglobin, serum calcium concentration, and C-reactive protein were significantly different between the groups. CONCLUSION: Disagreement between the MSKCC and IMDC models may have a negative impact on prognosis in patients with metastatic renal-cell carcinoma. The inclusion of systematic inflammation markers in a risk model may be essential for prognosis prediction.

Validation of the Knowledge and Self-management Nursing Outcomes Classification for Adults With Diabetes.

People with diabetes have to self-manage their health conditions to promote, maintain, and restore their health. The Nursing Outcomes Classification provides two outcomes for people with diabetes to evaluate their knowledge and self-management behaviors. The purpose of this study was to validate these two Nursing Outcomes Classification outcomes for adults with diabetes. A descriptive exploratory design using the Delphi technique was used. Two groups of experts were invited for validation of the outcomes. Descriptive statistics were used to determine definition adequacy, clinical usefulness, and content similarity. The Outcome Content Validity method was used to evaluate each outcome and the indicators. A total of 16 nurse experts participated in this study. The definition adequacy of the two Nursing Outcomes Classification outcomes was rated higher than 4.0 out of 5. Clinical usefulness was rated higher than 4.0 out of 5. The range of content validity of the two Nursing Outcomes Classification outcomes was from 0.89 to 0.92 (perfect score is 1.0). The invited experts reported that the content of this outcome pair was very similar. By using validated Nursing Outcomes Classification outcomes, nurses who take care of patients with diabetes can evaluate patient outcomes effectively and determine the effect of nursing interventions accurately.

Deep learning applied to whole-brain connectome to determine seizure control after epilepsy surgery.

OBJECTIVE: We evaluated whether deep learning applied to whole-brain presurgical structural connectomes could be used to predict postoperative seizure outcome more accurately than inference from clinical variables in patients with mesial temporal lobe epilepsy (TLE). METHODS: Fifty patients with unilateral TLE were classified either as having persistent disabling seizures (SZ) or becoming seizure-free (SZF) at least 1 year after epilepsy surgery. Their presurgical structural connectomes were reconstructed from whole-brain diffusion tensor imaging. A deep network was trained based on connectome data to classify seizure outcome using 5-fold cross-validation. RESULTS: Classification accuracy of our trained neural network showed positive predictive value (PPV; seizure freedom) of 88 ± 7% and mean negative predictive value (NPV; seizure refractoriness) of 79 ± 8%. Conversely, a classification model based on clinical variables alone yielded <50% accuracy. The specific features that contributed to high accuracy classification of the neural network were located not only in the ipsilateral temporal and extratemporal regions, but also in the contralateral hemisphere. SIGNIFICANCE: Deep learning demonstrated to be a powerful statistical approach capable of isolating abnormal individualized patterns from complex datasets to provide a highly accurate prediction of seizure outcomes after surgery. Features involved in this predictive model were both ipsilateral and contralateral to the clinical foci and spanned across limbic and extralimbic networks.

A classification system for verifying the long-term efficacy of resective surgery for drug-resistant seizures.

OBJECTIVE: To verify the long-term efficacy of resective surgery, we created a classification system in which strictly defined patterns of postoperative seizure emergence are incorporated as basic components and the seizure states throughout the entire follow-up period are assessed comprehensively. METHODS: In our system, Class I has three subclasses (A-C); subclasses A and B are identical to Engel I-A and I-B, respectively. Subclass C comprises patients whose disabling seizures remit within the first 2 years postoperatively. Patients in Class II have only 1-3 days with disabling seizures throughout follow-up after the first 2 years. Patients in Class III have a maximum of 3 seizure days annually, and those in Class IV have ≥4 seizure days annually after the first 2 years. Classes II-IV each have 2 subclasses (A and B): subclass A, late recurrence (i.e., the first seizure occurs after 2 years postoperatively); and subclass B, early recurrence (i.e., first seizure within 2 years). In 646 patients who underwent resective surgery (temporal lobe resection, 74.6%) and were followed for at least 8 years (mean, 14.6 years), we analyzed three patterns of postoperative seizures: early remission, late recurrence, and occasional seizures. In addition, we investigated the differences between the long-term seizure outcomes of the cohort as determined according to our system and the Engel scale. RESULTS: Overall, 52.9% of the cohort experienced at least one disabling seizure postoperatively throughout the follow-up period; in 1/3 of these patients, the first seizure occurred after 2 years. In 73.8% of the 80 patients who manifested the running-down phenomenon, seizure remission occurred within the first 2 years. In addition, 36.7% of the 283 patients who had disabling seizures after 2 years experienced only 1-3 seizure days. Engel Class I-C included about 30% of the patients who had ≥4 seizure days after 2 years. The long-term seizure outcomes, determined according to our system, were: Class I, 56.2% (C, 9.1%) of the overall cohort; Class II, 16.1% (A, 11.0%); and Class III/IV, 27.7% (A, 6.6%). CONCLUSION: Our system clarifies the actual effect of resective surgery more precisely than the Engel scale and thus may be useful for comparing outcomes between different surgical procedures or for identifying potential risk factors predicting unfavorable outcome.

Validation of the Clavien-Dindo Grading System in Urology by the European Association of Urology Guidelines Ad Hoc Panel.

CONTEXT: Since 2012 uniformed reporting of complications after urological procedures has been advocated by the European Association of Urology (EAU) guidelines. The Clavien-Dindo grading system was recommended to report the outcomes of urologic procedures. OBJECTIVE: To validate the Clavien-Dindo grading system in urology. DESIGN, SETTING, AND PARTICIPANTS: Members of the EAU working group compiled a list of case scenarios including those with minor and major complications. A survey was administered online via Survey Monkey to the members of EAU committees for the appropriate grading according to the Clavien-Dindo classification of surgical complications. Scenarios with intraoperative complications were intentionally included to assess respondents' awareness of the Clavien-Dindo applicability. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Survey data collected were used to calculate agreement rates and to estimate the overall inter-rater agreement on all cases using Fleiss' kappa (κ). Differences in agreement rates for each scenario among groups with different criteria about the system were estimated using the chi-square test. RESULTS AND LIMITATIONS: Evaluable responses were received from 81 out of 174 invited raters (46.5%). Of them 56.9% believed that the Clavien-Dindo system was adequate for grading postoperative complications. The agreement rate was over a score of ≥80% in nine cases, 60-79% in 10 cases, 40-59% in 14 cases, and <40% in two cases. Interestingly, the agreement rate on the nonapplicability of the Clavien-Dindo system was quite low, ranging from 27.5% to 67.2% (κ=0.147). Being a resident rather than a specialist affected only the distribution of agreement rates in case 1 (ie, score IIIb: 83.3% vs 94.1%). Being an academic or having affiliation did not have any impact on the distribution of agreement rates in all cases but one. CONCLUSIONS: The Clavien-Dindo classification is a standardised approach to grade and report postoperative complications in urology and should be used systematically. However, it does not apply for intraoperative complications, and there is a need for an additional tool. PATIENT SUMMARY: A rigorous methodology is mandatory when surgeons report about complications after surgery. In this study, the European Association of Urology Guidelines Panel has validated the use of the Clavien-Dindo grading system in urology.

The Whitaker Classification of Craniosynostosis Outcomes: An Assessment of Interrater Reliability.

BACKGROUND: The Whitaker classification is a simple and widely used system for describing aesthetic outcomes after craniosynostosis surgery. The purpose of this study is to evaluate its interrater reliability for patients who have undergone fronto-orbital surgery. METHODS: A retrospective review of patients with craniosynostosis who underwent surgical intervention at a tertiary referral center was conducted. Inclusion criteria were as follows: single-suture craniosynostosis, surgical intervention before age 2 years, and photographs taken before revisions between 5 and 20 years of age. Thirteen craniofacial surgeons independently reviewed the subjects' photographs and assigned Whitaker classifications. Interrater reliability was assessed with the Cohen kappa statistic. RESULTS: Twenty-nine subjects were included. Average ages at surgery and at the time of postoperative photography were 0.8 year and 12.8 years, respectively. The κ value for all 13 raters was 0.1567 (p < 0.0001), indicating "slight agreement." Pairwise comparisons demonstrated κ values ranging from 0.0384 to 0.5492. The average rating for the set of 29 photographs differed significantly across the 13 raters (p = 0.0020) and ranged from 1.79 ± 0.68 to 2.79 ± 0.77. Finally, we found that average Whitaker classification did not differ significantly between subjects who subsequently underwent cranioplasty and/or fronto-orbital advancement and those who did not (subsequent procedures, 2.45 ± 0.55; no subsequent procedures, 1.88 ± 0.78; p = 0.1087). CONCLUSIONS: The Whitaker classification exhibits low interrater reliability and does not predict future treatment. It may benefit craniofacial surgeons to create new evaluation tools with greater precision, to improve the quality of patient care and craniofacial outcomes research.

The H.O.U.S.E. classification: a novel endoscopic retrograde cholangiopancreatography (ERCP) complexity grading scale.

BACKGROUND: Endoscopic retrograde cholangiopancreatography (ERCP) is a technically challenging endoscopic procedure, harboring a wide range of complexities within every single investigation. Classifications of the complexity of ERCP have been presented, but do not include modern endoscopic treatment modalities. In order to be able to target resources and compare the results of different endoscopic centers, a new complexity grading system for ERCP is warranted. This study launches a new complexity grading scale for ERCP-the H.O.U.S.E.-classification. METHODS: The medical record of every patient undergoing ERCP 2009-2011 at the Karolinska University Hospital was reviewed, regarding the complexity of the procedure, and categorized into one out of three-grades in the HOUSE classification system, and concomitantly graded according to the Cotton grading system. All ERCP-procedures were also registered in the Swedish registry for gallstone surgery and ERCP (GallRiks) and correlations between the grading systems and procedure related variables as well as outcomes were made. RESULTS: Between 2009 and 2011, 2185 ERCPs were performed at the Karolinska University Hospital, Huddinge. One thousand nine hundred fifty-four of those were index-ERCPs. Another 23 patients were excluded due to lack of postoperative complication registrations, leaving 1931 ERCP procedures to be analyzed. The procedure times were 40 ± 0.7, 65 ± 1.5 and 106 ± 3.2 min, respectively (HOUSE 1-3). The corresponding pancreatitis rates were 3.4, 7.0 and 6.8% and the postoperative complication rates 11.1, 15.7 and 12.8%, respectively. CONCLUSIONS: The HOUSE-classification is a novel grading scale for ERCP-complexity. The system can be implemented in clinical practice to allocate resources and allow the comparisons of results between different endoscopic centers. Further studies are warranted to further sharpen this instruments validitity and general clinical relevance.

Applicability of the Nursing Outcomes Classification (NOC) to the evaluation of cancer patients with acute or chronic pain in palliative care.

OBJECTIVE: The aim of this study was to verify the clinical applicability of the Nursing Outcomes Classification (NOC) to the evaluation of cancer patients with a nursing diagnosis of acute or chronic pain in a palliative care unit. METHOD: A prospective longitudinal study performed on a sample of 13 adult cancer patients in a palliative care unit. Patients were followed for at least 4 days. Data were collected with an instrument containing eight nursing outcomes and nineteen NOC indicators. Statistical analysis was performed using generalized estimating equation models. RESULTS: The following outcome and indicator scores changed significantly over the course of the study: reported pain and length of pain episodes in the pain level outcome; social relationships in the personal well-being outcome; respirator rate in the vital signs outcome; and describes causal factors in the pain control outcome. CONCLUSION: The NOC outcomes and indicators included in this study were able to successfully evaluate the clinical evolution of cancer patients in palliative care. These scores proved to be applicable for use in palliative nursing care.

Knowledge produced from the outcomes of the "Nursing Outcomes Classification - NOC": integrative review / Conocimiento producido sobre los resultados de la "Nursing Outcomes Classification - NOC": revisión integrativa / Conhecimento produzido sobre os resultados da "Nursing Outcomes Classification - NOC": revisão integrativa

Objective: To identify the knowledge produced from the outcomes of the Nursing Outcomes Classification (NOC). Method: A literature review using the integrative databases: Latin American and Caribbean Health Sciences (LILACS), US National Library of Medicine (PubMed), Cumulative Index to Nursing & Allied Health Literature (CINAHL) and Scopus Info Site (SCOPUS), during the months of August and September 2014. Results: The review consisted of 21 articles that addressed different issues: Translation and Cultural adaptation (4.77%); Applicability in clinical practice (33.33%); and, Validation (63.90%). Analysis of these articles showed that the knowledge produced from the Nursing Outcomes Classification includes translation and cultural adaptation, evaluation of applicability and validation of its items. Conclusion: Considering the continuous evolution of this classification, periodic reviews should be carried out to identify the knowledge, use and effects of the NOC.

Objetivo: identificar el conocimiento producido sobre los resultados da Nursing Outcomes Classification (NOC). Método: Se trata de una revisión integradora realizada en las bases de datos: Literatura Latinoamericana y del Caribe en Ciencias de la Salud (LILACS), US National Library of Medicine (PUBMED), Cumulative Index to Nursing & Allied Health Literature (CINAHL) y Scopus Info Site (SCOPUS), durante los meses de agosto y septiembre de 2014. Resultados: se componen de esta revisión 21 artículos que abarcaron: Traducción y adaptación cultural (4,77%); Aplicabilidad en la práctica clínica (33,33%); y, Validación (63,90%). Después de analizar los artículos, el conocimiento producido por el NOC de resultados de enfermería incluye la traducción y adaptación cultural, la evaluación de aplicabilidad y la validación de sus artículos. Conclusión: con la presentación de continuo desarrollo, se sugiere llevar a cabo revisiones periódicas para identificar el conocimiento de la NOC.

Objetivo: Identificar o conhecimento produzido sobre os Resultados de Enfermagem da Nursing Outcomes Classification (NOC). Método: Trata-se de uma revisão integrativa da literatura realizada nas bases de dados: Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS), US National Library of Medicine (PUBMED), Cumulative Index to Nursing & Allied Health Literature (CINAHL) e Scopus Info Site (SCOPUS), durante os meses de agosto e setembro de 2014. Resultados: Compuseram esta revisão, 21 artigos que abordaram diferentes enfoques: tradução e adaptação cultural de Resultados de Enfermagem e seus indicadores (4,77%); aplicabilidade dos mesmos na prática clínica (33,33%); e, validação de seus elementos (63,90%). Após a análise dos artigos, verificou-se que o conhecimento produzido abordou os aspectos da tradução e adaptação cultural dos Resultados, a avaliação de sua aplicabilidade e a validação de seus itens. Conclusão: Por apresentar desenvolvimento contínuo, sugere-se a realização de revisões periódicas que identifiquem o conhecimento, uso e efeito da NOC.

Use of clustering analysis in randomized controlled trials in orthopaedic surgery.

BACKGROUND: The effects of clustering in randomized controlled trials (RCTs) and the resulting potential violation of assumptions of independence are now well recognized. When patients in a single study are treated by several therapists, there is good reason to suspect that the variation in outcome will be smaller for patients treated in the same group than for patients treated in different groups. This potential correlation of outcomes results in a loss of independence of observations. The purpose of this study is to examine the current use of clustering analysis in RCTs published in the top five journals of orthopaedic surgery. METHODS: RCTs published from 2006 to 2010 in the top five journals of orthopaedic surgery, as determined by 5-year impact factor, that included multiple therapists and/or centers were included. Identified articles were assessed for accounting for the effects of clustering of therapists and/or centers in randomization or analysis. Logistic regression used both univariate and multivariate models, with use of clustering analysis as the outcome. Multivariate models were constructed using stepwise deletion. An alpha level of 0.10 was considered significant. RESULTS: A total of 271 articles classified as RCTs were identified from the five journals included in the study. Thirty-two articles were excluded due to inclusion of nonhuman subjects. Of the remaining 239 articles, 186 were found to include multiple centers and/or therapists. The prevalence of use of clustering analysis was 21.5%. Fewer than half of the studies reported inclusion of a statistician, epidemiologist or clinical trials methodologist on the team. In multivariate modeling, adjusting for clustering was associated with a 6.7 times higher odds of inclusion of any type of specialist on the team (P = 0.08). Likewise, trials that accounted for clustering had 3.3 times the odds of including an epidemiologist/clinical trials methodologist than those that did not account for clustering (P = 0.04). CONCLUSIONS: Including specialists on a study team, especially an epidemiologist or clinical trials methodologist, appears to be important in the decision to account for clustering in RCT reporting. The use of clustering analysis remains an important piece of unbiased reporting, and accounting for clustering in RCTs should be a standard reporting practice.

ELN 2013 response status criteria: relevance for de novo imatinib chronic phase chronic myeloid leukemia patients?

The response definitions proposed by the European Leukemia Net (ELN) have been recently modified. We evaluated the new criteria for de novo imatinib (400 mg/d) chronic phase chronic myeloid leukemia (CP-CML) patients. Response status according to the 2009 and 2013 criteria were determined in 180 unselected patients. Outcome of the subgroups of patients were then compared. The 180 patients were classified as optimal responders (OR2009; n = 113, 62.7%), suboptimal responders (SOR2009; n = 47, 26.1%) and failures (FAIL2009; n = 20, 11.1%) according to the 2009 ELN criteria and optimal responders (OR2013; n = 77, 42.7%), warnings (WAR2013; n = 59, 32.7%), and failures (FAIL2013; n = 44, 24.4%) according to the 2013 ELN criteria. No difference in terms of outcome was observed between OR2009 patients who became WAR2013 when compared with OR2013 patients. When compared with FAIL2009 patients, SOR2009 patients who became WAR2013 had better EFS, FFS, PFS, and OS. No difference was observed in PFS or OS in SOR2009 patients who became FAIL2013. The 2013 ELN response status criteria have improved patients classification in terms of response status. However, in our patient population this improvement is related to a better definition of failure rather than that of optimal response for CP-CML patients treated with IM frontline therapy.

Classifying outcomes of care for injured patients.

Many trauma survivors face challenges of impaired functioning, limited activities and reduced participation. Recovery from injury after acute care, therefore, becomes an important public health issue. This commentary discusses a framework for evaluating outcomes of acute care.

Identifying unproven cancer treatments on the health web: addressing accuracy, generalizability and scalability.

Building machine learning models that identify unproven cancer treatments on the Health Web is a promising approach for dealing with the dissemination of false and dangerous information to vulnerable health consumers. Aside from the obvious requirement of accuracy, two issues are of practical importance in deploying these models in real world applications. (a) Generalizability: The models must generalize to all treatments (not just the ones used in the training of the models). (b) Scalability: The models can be applied efficiently to billions of documents on the Health Web. First, we provide methods and related empirical data demonstrating strong accuracy and generalizability. Second, by combining the MapReduce distributed architecture and high dimensionality compression via Markov Boundary feature selection, we show how to scale the application of the models to WWW-scale corpora. The present work provides evidence that (a) a very small subset of unproven cancer treatments is sufficient to build a model to identify unproven treatments on the web; (b) unproven treatments use distinct language to market their claims and this language is learnable; (c) through distributed parallelization and state of the art feature selection, it is possible to prepare the corpora and build and apply models with large scalability.

Key factors associated with postoperative complications in patients undergoing colorectal surgery.

BACKGROUND: Surgical outcomes are determined by complex interactions among a variety of factors including patient characteristics, diagnosis, and type of procedure. OBJECTIVE: The aim of this study was to prioritize the effect and relative importance of the surgeon (in terms of identity of a surgeon and surgeon volume), patient characteristics, and the intraoperative details on complications of colorectal surgery including readmission, reoperation, sepsis, anastomotic leak, small-bowel obstruction, surgical site infection, abscess, need for transfusion, and portal and deep vein thrombosis. DESIGN: This study uses a novel classification methodology to measure the influence of various risk factors on postoperative complications in a large outcomes database. METHODS: Using prospectively collected information from the departmental outcomes database from 2010 to 2011, we examined the records of 3552 patients who underwent colorectal surgery. Instead of traditional statistical methods, we used a family of 7000 bootstrap classification models to examine and quantify the impact of various factors on the most common serious surgical complications. For each complication, an ensemble of multivariate classification models was designed to determine the relative importance of potential factors that may influence outcomes of surgery. This is a new technique for analyzing outcomes data that produces more accurate results and a more reliable ranking of study variables in order of their importance in producing complications. PATIENTS: Patients who underwent colorectal surgery in 2010 and 2011 were included. SETTINGS: This study was conducted at a tertiary referral department at a major medical center. MAIN OUTCOME: Postoperative complications were the primary outcomes measured. RESULTS: Factors sorted themselves into 2 groups: a highly important group (operative time, BMI, age, identity of the surgeon, type of surgery) and a group of low importance (sex, comorbidity, laparoscopy, and emergency). ASA score and diagnosis were of intermediate importance. The outcomes most influenced by variations in the highly important factors included readmission, transfusion, surgical site infection, and abscesses. LIMITATIONS: This study was limited by the use of data from a single tertiary referral department at a major medical center. CONCLUSIONS: Body mass index, operative time, and the surgeon who performed the operation are the 3 most important factors influencing readmission rates, rates of transfusions, and surgical site infection. Identification of these contributing factors can help minimize complications.

Evaluation of a collaborative program on smoking cessation: translating outcomes framework into practice.

INTRODUCTION: Although evaluating at multiple outcome levels has been proposed for continuing education activities and programs, it is a complex undertaking and is not done routinely, especially in collaborative, multicomponent programs. This article reports on strategies used and results obtained in an evaluation project that examined multiple outcomes of a US-based collaborative, multicomponent smoking cessation educational program for clinicians. METHODS: Evaluation was organized conceptually around the 6 levels of an outcomes-based evaluation model and was conducted using registration data, postactivity evaluations, clinical vignettes with questions assessing knowledge and competence in participants and in a comparison group, a commitment to change approach, data from patient charts to assess clinician compliance on 8 performance measures, and tobacco cessation rates. Additional methods included a success case method study of 9 practices participating in performance improvement (PI) activities and assessment of partner collaboration using a written survey and interviews. RESULTS: The program reached more than 43,000 clinicians who participated in a variety of activities. Participants indicated a high level of satisfaction with the program's educational activities and demonstrated higher scores than a comparison group on 6 of 7 competencies. The majority of participants who responded to commitment to change questions reported intended and implemented practice changes consistent with desired outcomes. Performance outcomes of 3 PI activities varied, with greater improvements observed in 1 activity (9.0% to 36.2% improvement across 8 measures). Lower performance outcomes, but a smoking quit rate of 46.8%, was observed in 2 other PI activities. DISCUSSION: The program had an overall positive impact on the measured variables for clinicians and their patients. Use of 1 outcomes assessment framework acceptable to all members of the collaborative, common measures and evaluation techniques, and centralized data repositories contributed to the success of the program evaluation reported here and is recommended to others who are considering a collaborative program evaluation.

Systematic review highlights difficulty interpreting diverse clinical outcomes in abnormal uterine bleeding trials.

OBJECTIVES: (1) To systematically collect and organize into clinical categories all outcomes reported in trials for abnormal uterine bleeding (AUB); (2) to rank the importance of outcomes for patient decision making; and (3) to improve future comparisons of effects in trials of AUB interventions. STUDY DESIGN AND SETTING: Systematic review of English-language randomized controlled trials of AUB treatments in MEDLINE from 1950 to June 2008. All outcomes and definitions were extracted and organized into major outcome categories by an expert group. Each outcome was ranked "critically important," "important," or "not important" for informing patients' choices. RESULTS: One hundred thirteen articles from 79 trials met the criteria. One hundred fourteen different outcomes were identified, only 15 (13%) of which were ranked as critically important and 29 (25%) as important. Outcomes were grouped into eight categories: (1) bleeding; (2) quality of life; (3) pain; (4) sexual health; (5) patient satisfaction; (6) bulk-related complaints; (7) need for subsequent surgical treatment; and (8) adverse events. CONCLUSION: To improve the quality, consistency, and utility of future AUB trials, we recommend assessing a limited number of clinical outcomes for bleeding, disease-specific quality of life, pain, sexual health, and bulk-related symptoms both before and after treatment and reporting satisfaction and adverse events. Further development of validated patient-based outcome measures and the standardization of outcome reporting are needed.