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BACKGROUND: Facial nerve dysfunction can be a devastating trouble for post-parotidectomy patients. OBJECTIVE: To assess rehabilitation outcomes concerning patients with post-parotidectomy facial nerve dysfunction, comparing benign versus malignant neoplasms. METHODS: Prospective study enrolling adults who underwent parotidectomy with facial nerve sparing between 2016 and 2020. The Modified Sunnybrook System (mS-FGS) was used for facial assessments. Physiotherapy began on the first post-operative day with a tailored program of facial exercises based on Neuromuscular Retraining, to be performed at home 3 times/day. From the first outpatient consultation, Proprioceptive Neuromuscular Facilitation was added to the treatment of cases with moderate or severe facial dysfunctions. RESULTS: Benign and malignant groups had a statistically significant improvement in mS-FGS (p < 0.001 and p = 0.005, respectively). There was no significant difference between groups regarding treatment duration or number of physiotherapy sessions performed. The history of previous parotidectomy resulted in more severe initial dysfunctions and worse outcome. Age over 60 years and initially more severe dysfunctions impacted the outcome. CONCLUSION: Patients with benign and malignant parotid neoplasms had significant and equivalent improvement in postoperative facial dysfunction following an early tailored physiotherapy program, with no significant difference in the final facial score, treatment duration, or number of sessions required.

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Abstract Background: Facial nerve dysfunction is the principal postoperative complication related to parotidectomy. Objective: To test the hypothesis that the modified Sunnybrook Facial Grading System (mS-FGS) is superior to the original S-FGS in the assessment of facial nerve function following parotidectomy. Methods: Prospective, longitudinal study evaluating patients with primary or metastatic parotid neoplasms undergoing parotidectomy with facial nerve-sparing between 2016 and 2020. The subjects were assessed twice, on the first postoperative day and at the first outpatient evaluation, 20-30 days post-surgery. Facial assessments were performed using the original and modified (plus showing the lower teeth) versions of the Sunnybrook System and documented by pictures and video recordings. Intra- and inter-rater agreements regarding the assessment of the new expression were analyzed. Results: 101 patients were enrolled. In both steps, the results from the mS-FGS were significantly lower (p < 0.001). Subjects with a history of previous parotidectomy and those who underwent neck dissection had more severe facial nerve impairment. The mandibular marginal branch was the most frequently injured, affecting 68.3% of the patients on the first postoperative day and 52.5% on the first outpatient evaluation. Twenty patients (19.8%) presented an exclusive marginal mandibular branch lesion. The inter-rater agreement of the new expression assessment ranged from substantial to almost perfect. The intra-rater agreement was almost perfect (wk = 0.951). Conclusion: The adoption of the Modified Sunnybrook System, which includes evaluation of the mandibular marginal branch, increases the accuracy of post-parotidectomy facial nerve dysfunction appraisal.

Resumo Antecedentes: A disfunção do nervo facial é a principal complicação pós-operatória relacionada à parotidectomia. Objetivo: Testar a hipótese de que o sistema Sunnybrook de graduação facial modificado (mS-FGS) é superior ao S-FGS original na avaliação da função do nervo facial após parotidectomia. Métodos: Estudo longitudinal prospectivo avaliando o pós-operatório de pacientes com neoplasias parotídeas primárias ou metastáticas, submetidos à parotidectomia com preservação do nervo facial, entre 2016 e 2020. Os indivíduos foram avaliados duas vezes, no primeiro dia de pós-operatório e na primeira avaliação ambulatorial, 20-30 dias após a cirurgia. As avaliações faciais foram realizadas usando as versões original e modificada (que incluem mostrar os dentes inferiores) do sistema Sunnybrook e documentadas por fotos e vídeos. Foram adicionalmente analisadas as concordâncias intra e interexaminadoras da avaliação da nova expressão. Resultados: Cento e um pacientes foram incluídos. Em ambas as etapas, os resultados do mS-FGS foram significativamente menores (p < 0,001). Indivíduos com história de parotidectomia prévia e aqueles submetidos ao esvaziamento cervical apresentaram comprometimento mais grave do nervo facial. O ramo marginal mandibular foi o mais afetado, acometendo 68,3% dos pacientes no primeiro dia de pós-operatório e 52,5% na primeira avaliação ambulatorial. Vinte pacientes (19,8%) apresentaram lesão exclusiva do ramo marginal mandibular. A concordância interexaminadores da avaliação da nova expressão variou de substancial a quase perfeita. A concordância intraexaminador foi quase perfeita (wk = 0,951). Conclusão: A adoção do sistema Sunnybrook modificado, que inclui a análise do ramo marginal mandibular, aumenta a precisão da avaliação da disfunção do nervo facial pós-parotidectomia.

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ABSTRACT Background: There is a two-fold higher rate of failed colonoscopy secondary to inadequate bowel preparation among hospitalized versus ambulatory patients. Split-dose bowel preparation is widely used in the outpatient setting but has not been generally adapted for use among the inpatient population. Objective The aim of this study is to evaluate the effectiveness of split versus single dose polyethylene glycol bowel (PEG) preparation for inpatient colonoscopies and determine additional procedural and patient characteristics that drive inpatient colonoscopy quality. Methods: A retrospective cohort study was performed on 189 patients who underwent inpatient colonoscopy and received 4 liters PEG as either split- or straight-dose during a 6-month period in 2017 at an academic medical center. Bowel preparation quality was assessed using Boston Bowel Preparation Score (BBPS), Aronchick Score, and reported adequacy of preparation. Results: Bowel preparation was reported as adequate in 89% of the split-dose group versus 66% in the straight-dose group (P=0.0003). Inadequate bowel preparations were documented in 34.2% of the single-dose group and 10.7% of the split-dose group (P<0.001). Only 40% of patients received split-dose PEG. Mean BBPS was significantly lower in the straight-dose group (Total: 6.32 vs 7.73, P<0.001). Conclusion: Split-dose bowel preparation is superior to straight-dose preparation across reportable quality metrics for non-screening colonoscopies and was readily performed in the inpatient setting. Interventions should be targeted at shifting the culture of gastroenterologist prescribing practices towards use of split-dose bowel preparation for inpatient colonoscopy.

RESUMO Contexto: Há uma taxa duas vezes maior de colonoscopia com falha secundária ao preparo intestinal inadequado entre pacientes hospitalizados versus ambulatoriais. O preparo intestinal em dose dividida é amplamente utilizado em ambulatório, mas geralmente não foi adaptado para uso entre a população hospitalar. Objetivo: O objetivo deste estudo é avaliar a eficácia da preparação do intestino de polietilenoglicol (PEG) em dose única versus doses separadas para colonoscopias hospitalares e determinar características adicionais do procedimento e do paciente que promovam a qualidade da colonoscopia do paciente internado. Métodos Um estudo de coorte retrospectivo foi realizado em 189 pacientes que foram submetidos a colonoscopia hospitalar e receberam 4 litros de PEG como dose dividida ou direta durante um período de 6 meses em 2017 em um centro médico acadêmico. A qualidade do preparo intestinal foi avaliada usando-se o Boston Bowel Preparation Score (BBPS), o Aronchick Score, e relatório sobre a adequação do preparo. Resultados O preparo intestinal foi relatado como adequado em 89% do grupo de dose dividida versus 66% no grupo de dose direta (P=0,0003). Preparações intestinais inadequadas foram documentadas em 34,2% do grupo de dose única e 10,7% do grupo de dose dividida (P<0,001). Apenas 40% dos pacientes receberam PEG em dose fracionada. O BBPS médio foi significativamente menor no grupo de dose direta (total: 6,32 vs 7,73, P<0,001). Conclusão O preparo intestinal em dose dividida é superior ao preparo de dose única em todas as métricas de qualidade relacionadas para colonoscopias sem triagem e foi adequadamente realizado no ambiente de internação. As intervenções devem ser direcionadas para mudar a cultura das práticas de prescrição de gastroenterologistas para o uso de preparação intestinal em dose dividida para colonoscopia hospitalar.

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OBJECTIVE: Enhancing cancer patients' sense of control can positively impact psychological well-being. We developed and assessed the psychometric properties of Valued Outcomes in the Cancer Experience (VOICE)TM, a measure of patients' perceived control over key personal priorities within their cancer experience. METHODS: VOICE construction and testing were completed in three phases with separate participant samples: (1) item generation and initial item pool testing (N = 459), (2) scale refinement (N = 623), and (3) confirmatory validation (N = 515). RESULTS: A 21-item measure was developed that captures cancer patients' sense of control in seven key domains: (1) Purpose and Meaning, (2) Functional Capacity, (3) Longevity, (4) Quality Care, (5) Illness Knowledge, (6) Social Support, and (7) Financial Capability. VOICE demonstrated adequate internal consistency (full-scale α = 0.93; factor α = 0.67-0.89) and adequate to strong convergent and discriminatory validity. SIGNIFICANCE OF RESULTS: VOICE measures cancer patients' perceived control across a diverse range of personal priorities, creating a platform for elevating patient perspectives and identifying pathways to enhance patient well-being. VOICE is positioned to guide understanding of the patient experience and aid the development and evaluation of supportive care interventions to enhance well-being.

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Nurses play an important role in healthcare, and the Nursing Outcomes Classification is a key tool for the standardization of care. This study aims to validate the nursing outcome "Neurological Status" for patients with cerebrovascular diseases. A methodological study was performed in four phases. In Phase 1, the relevance of the indicators was evaluated by seven specialists and the modified kappa coefficient and content validity index were calculated. In Phase 2, conceptual and operational definitions were formulated. In addition, their content was validated with a focus group in Phase 3. In Phase 4, the results were applied in clinical practice and convergence with the National Institute of Health Stroke Scale was verified. The reliability was measured by Cronbach's alpha. Of the 22 initial indicators, 6 were excluded. The focus group suggested changes in the definitions and the exclusion of two indicators. In Phase 4, only 13 indicators were validated due to the impossibility of measuring intracranial pressure. A strong correlation between the two scales and agreement among all the indicators were observed. Following the specialists' review, the nursing outcome was reliable and clinically validated with 13 indicators: consciousness, orientation, language, central motor control, cranial sensory and motor function, spinal sensory and motor function, body temperature, blood pressure, heart rate, eye movement pattern, pupil size, pupil reactivity, and breathing pattern.

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The healthcare industry compares unfavorably with other ultra-safe industries such as aviation and nuclear power plants, which address complexity by reducing the vulnerability of a single person and promoting teams and strong systems. A multidisciplinary tumor board (MTB) is an evidence-based organizational approach to implementing a more effective concept in oncology practice. Studies addressing the correlation between MTBs and cancer outcomes show promising results, and other potential benefits are also addressed. The objectives of this article are to define and characterize MTBs in modern oncology practice, review the current literature on MTBs effectiveness and address challenges to the implementation and maintenance of MTBs. In this commentary-type narrative review, the authors present their opinions and, whenever possible, substantiate recommendations by citing supportive literature.

Lay abstract Compared with other ultra-safe industries such as aviation and nuclear power plants, the healthcare industry operates with lower safety standards. Multidisciplinary tumor boards (MTBs) are regular meetings of various specialist doctors and other health professionals involved in cancer care to discuss cases of patients with cancer. MTBs are considered valuable tools to promote the quality of care in oncology by reducing the vulnerability of a single person and promoting teams and strong systems. Studies have shown that MTBs correlate with better treatment results, and other potential benefits are also addressed. The objectives of this paper are to define and characterize MTBs in modern oncology practice, review the current literature on MTBs and address challenges to the implementation and maintenance of MTBs. The authors substantiate their views with literature citations where possible.

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BACKGROUND: With the rapid adoption of electronic medical records (EMRs), there is an ever-increasing opportunity to collect data and extract knowledge from EMRs to support patient-centered stroke management. OBJECTIVE: This study aims to compare the effectiveness of state-of-the-art automatic text classification methods in classifying data to support the prediction of clinical patient outcomes and the extraction of patient characteristics from EMRs. METHODS: Our study addressed the computational problems of information extraction and automatic text classification. We identified essential tasks to be considered in an ischemic stroke value-based program. The 30 selected tasks were classified (manually labeled by specialists) according to the following value agenda: tier 1 (achieved health care status), tier 2 (recovery process), care related (clinical management and risk scores), and baseline characteristics. The analyzed data set was retrospectively extracted from the EMRs of patients with stroke from a private Brazilian hospital between 2018 and 2019. A total of 44,206 sentences from free-text medical records in Portuguese were used to train and develop 10 supervised computational machine learning methods, including state-of-the-art neural and nonneural methods, along with ontological rules. As an experimental protocol, we used a 5-fold cross-validation procedure repeated 6 times, along with subject-wise sampling. A heatmap was used to display comparative result analyses according to the best algorithmic effectiveness (F1 score), supported by statistical significance tests. A feature importance analysis was conducted to provide insights into the results. RESULTS: The top-performing models were support vector machines trained with lexical and semantic textual features, showing the importance of dealing with noise in EMR textual representations. The support vector machine models produced statistically superior results in 71% (17/24) of tasks, with an F1 score >80% regarding care-related tasks (patient treatment location, fall risk, thrombolytic therapy, and pressure ulcer risk), the process of recovery (ability to feed orally or ambulate and communicate), health care status achieved (mortality), and baseline characteristics (diabetes, obesity, dyslipidemia, and smoking status). Neural methods were largely outperformed by more traditional nonneural methods, given the characteristics of the data set. Ontological rules were also effective in tasks such as baseline characteristics (alcoholism, atrial fibrillation, and coronary artery disease) and the Rankin scale. The complementarity in effectiveness among models suggests that a combination of models could enhance the results and cover more tasks in the future. CONCLUSIONS: Advances in information technology capacity are essential for scalability and agility in measuring health status outcomes. This study allowed us to measure effectiveness and identify opportunities for automating the classification of outcomes of specific tasks related to clinical conditions of stroke victims, and thus ultimately assess the possibility of proactively using these machine learning techniques in real-world situations.

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BACKGROUND: Screening of sarcopenia is proposed to identify patients who require the diagnosis of this condition. One of the proposed screening tools is Strength, Assistance with walking, Rise from a chair, Climb stairs, Fall and Calf Circumference (SARC-CalF). However, evidence for its applicability, especially in a hospital setting, is scarce. Therefore, this study aimed to evaluate the association between "suggestive signs of sarcopenia using SARC-CalF" and clinical outcomes. METHODS: Prospective cohort study with hospitalized patients aged ≥60 years was conducted, and they were evaluated within 48 h of admission using the SARC-CalF tool. Calf circumference and handgrip strength were measured, and the "timed get up and go" test was performed in all patients. The outcomes for testing the predictive validity of SARC-CalF were prolonged length of hospital stay, in-hospital death, hospital readmission, and mortality in 6 months. RESULTS: Of the 554 patients (55.22 ± 14.91 years old, 52.9% males) evaluated, 17.3% were classified as having "suggestive signs of sarcopenia using SARC-CalF." In univariate analysis, "suggestive signs of sarcopenia using SARC-CalF" was associated with in-hospital death (P = .002) and mortality in 6 months (P = .004). However, in the multivariate analysis, these associations were not significant. CONCLUSION: SARC-CalF was not an independent predictor of clinical outcomes during the hospitalization neither in the following 6 months of discharge.

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BACKGROUND: This study aimed to validate the Malnutrition Clinical Characteristics (MCC) compared with the Subjective Global Assessment (SGA), considering anthropometric measures, comorbidities, and mortality in critically ill patients. METHODS: This longitudinal observational study included patients admitted to the general intensive care unit (ICU) of a public hospital. SGA was used as the reference standard for diagnosing malnutrition. The inclusion criteria were patients receiving nutrition support therapy and age >18 years. The nutrition therapy was optimized as close as possible to 100% of the patients' energy and protein needs regardless of the access route. Hospital length of stay (LOS), comorbidities on admission, and death were documented during the entire hospitalization of each patient. Body mass index (BMI), midarm circumference (MAC), and calf circumference (CC) were considered anthropometric measures. RESULTS: The convenience sample comprised 102 ICU patients. Comparing the original malnutrition classifications of SGA with MCC, the specificity was 87.5%, sensitivity was 100%, accuracy was 93.3%, positive predictive value was 87.5%, and negative predictive value was 100%. When classified in 2 groups, namely "well-nourished" and "malnourished," specificity and sensitivity were 100% between both groups. Malnourished patients had significantly higher mortality rates (P = .006) and longer LOSs (P <.001). As expected, BMI, MAC, and CC results were similar for SGA and MCC. CONCLUSIONS: MCC was a valid tool for classifying malnutrition in ICU patients. Because the evaluation is fast and does not require expensive equipment that is difficult to handle, it is believed to be practical, low-cost, and easy to use.

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BACKGROUND: The effects of an early and prolonged lockdown during the coronavirus disease 2019 (COVID-19) pandemic on cardiovascular intensive care units (CICUs) are not well established. OBJECTIVES: This study analyses patterns of admission, mortality and performance indicators in a CICU before and during the Argentine lockdown in the COVID-19 pandemic. METHODS: This is a retrospective observational cross-sectional study of all consecutive patients aged 18 years or more admitted to the cardiac intensive care unit at a high-volume reference hospital in Buenos Aires, Argentina, comparing hospitalization rates, primary causes of admission, inpatient utilization indicators, pharmacy supplies' expenditures and in-hospital mortality between 5 March and 31 July 2020, with two corresponding control periods in 2019 and 2018. RESULTS: We included 722 female patients [mean age of 61.6 (SD 15.5) years; 237 (32.8%)]. Overall hospitalizations dropped 53.2% (95%CI: 45.3, 61.0%), from 295.5 patients/year over the periods 2018/2019 to 137 patients in 2020. Cardiovascular disease-related admissions dropped 59.9%, while admission for non-cardiac causes doubled its prevalence from 9.6% over the periods 2018/2019 to 22.6% in the study period (P < 0.001).In the period 2020, the bed occupancy rate fell from 82.2% to 77.4%, and the bed turnover rate dropped 50% from 7.88 to 3.91 monthly discharges/bed. The average length of stay doubled from 3.26 to 6.75 days, and the turnover interval increased from 3.8 to 8.39 days in 2020.Pharmacy supplies' expenditures per discharge increased 134% along with a rise in antibiotics usage from 6.5 to 11.4 vials/ampoules per discharge (P < 0.02).Overall mortality increased from 7% (n = 41) to 13.9% (n = 19) (P = 0.008) at the expense of non-cardiac-related admissions (3.6-19.4%, P = 0.01). CONCLUSIONS: This study found a significant reduction in overall and cardiovascular disease-related causes of admission to the cardiac intensive care unit, worse performance indicators and increased in-hospital mortality along the first 5 months of the early and long-lasting COVID-19 lockdown in Argentina. These results highlight the need to foster public awareness concerning the risks of avoiding hospital attendance. Moreover, health systems should follow strict screening protocols to prevent potential biases in the admission of patients with critical conditions unrelated to the COVID-19 pandemic.

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