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An 8-year-old male rabbit (Oryctolagus cuniculus) presented with a subcutaneous mass in the proximal region of the fourth and accessory digit measuring 5.5 x 3.5 x 5.2cm. The mass was non-alopecic and exhibited irregular surface, ulceration and necrosis with predominantly pale and light brown coloring. Radiography revealed no involvement of bone and adjacent periosteum. The mass was marginally resected and the electrochemotherapy (ECT) was performed on the surgical bed. Histopathology and immunohistochemical analysis revealed positive reactions for Vimentin, Runx-2 and ki-67, leading to a diagnosis of extraskeletal osteosarcoma (ESOS). This report described a case of ESOS in a rabbit, thereby delineating its clinical presentation, anatomopathological characteristics, diagnostic modalities and recommended therapeutic interventions.
Um coelho macho de 8 anos (Oryctolagus cuniculus) apresentava uma massa subcutânea na região proximal do quarto e acessório dígitos medindo 5,5 x 3,5 x 5,2 cm. A massa não era alopécica e exibia superfície irregular, ulceração e necrose com coloração predominantemente pálida e marrom clara. A radiografia não revelou envolvimento de tecido ósseo ou periósteo adjacente. A massa foi submetida à excisão marginal e foi realizada eletroquimioterapia do leito cirúrgico. Histopatologia e análise imuno-histoquímica revelaram reações positivas para vimentina, Runx-2 e ki-67, levando ao diagnóstico de osteossarcoma extraesquelético. Este relato descreve um caso de osteossarcoma extraesquelético em um coelho, delineando sua apresentação clínica, características anatomopatológicas, modalidades diagnósticas e intervenções terapêuticas recomendadas.
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Human Pegivirus-1, typically regarded as a commensal virus, exhibits high prevalence in humans. Its frequency and impact on oncologic pediatric patients with febrile neutropenia (FN), a frequent chemotherapy complication, remains unexplored. In this study, we assessed HPgV-1 RNA prevalence in pediatric patients experiencing FN. Blood samples were collected from 30 children, 15 presenting FN and 15 comprising a control group of either undergoing treatment or in remission. Overall, HPgV-1 RNA was detected in 23.3â¯% of samples (26.7â¯% among FN patients and 20.0â¯% among those under treatment or in remission). Phylogenetic analysis unveiled HPgV-1 genotype 2 predominance among these samples, the most prevalent strain circulating in Brazil. Our findings prompt crucial inquiries into the role of HPgV-1 RNA in FN: is it an incidental finding and if it can influences this clinical entity? Further investigation is imperative to elucidate HPgV-1 implications in vulnerable patients cohorts, potentially informing new approaches and understanding viral dynamics in immunocompromised populations.
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INTRODUCTION: Colorectal adenocarcinoma is rare in children and adolescents and tends to present with nonspecific signs and symptoms, leading to late diagnoses. OBJECTIVES: Our aim was to describe the clinical presentation and progression in children and adolescents with colorectal adenocarcinoma treated at our hospital and detect possible predisposing conditions of this disease. MATERIALS AND METHODS: Eight patients with colorectal adenocarcinoma were followed at the Hospital Posadas within the time frame of January 2000 and December 2021. We searched for diseases predisposing to this cancer. RESULTS: The mean patient age was 16 years (between 11 and 17 years of age). Clinical presentation was abdominal pain in the 8 patients; 4 of them had pain in the right hypochondrium, 3 had abdominal tumor, 4 had rectal bleeding, and 3 had weight loss. Mean symptom duration was 9 weeks (range: 1-24 weeks). None of the patients showed predisposing illnesses. One patient presented with polyposis, with no cases in any other family member. Histology showed mucinous adenocarcinoma in all the patients, 4 of whom had the signet ring cell subtype. The primary tumor was located in the right colon in 6 patients. At diagnosis, staging according to the modified Dukes classification was: I: one patient; IIb: one patient; IIIb: one patient; IIIc: one patient; and IV: 4 patients. All patients except 2 received chemotherapy and one patient received radiotherapy. Overall survival at 3 years was 25%. CONCLUSIONS: All patients presented with mucinous adenocarcinoma, no predisposing diseases were found, and the children with colorectal cancer had a very poor prognosis. Colorectal cancer diagnosis should be considered in children presenting with acute abdominal pain, abdominal tumor, or lower gastrointestinal bleeding, especially if there is weight loss.
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OBJECTIVE: To analyze the association between the prognostic nutritional index and surgical morbidity in women with gynecologic cancers. METHODS: This is a retrospective cohort study of women with ovarian, endometrial, or cervical cancer who underwent surgery between January 2013 and December 2020 at a cancer center. Demographic and clinical data were extracted from electronic medical records. The prognostic nutritional index was calculated during the immediate pre-operative period. Binomial logistic regression was conducted to identify the association of the prognostic nutritional index with the outcome of surgical complications after Clavien-Dindo classification, adjusting for confounding variables. RESULTS: A total of 1000 women were included: 114 (11.4%) were diagnosed with cervical cancer, 551 (55.1%) with ovarian cancer, and 335 (33.5%) with endometrial cancer. Patients with a prognostic nutritional index >40 had a decreased possibility of surgical complications (OR=0.39, 95% CI 0.29 to 0.52); basal blood hemoglobin, volume of surgical bleeding, operative time, and length of hospital stay were also explanatory factors. The prognostic nutritional index has a significant effect on patients with endometrial and cervical cancer, but conversely is not significant in patients with ovarian cancer. CONCLUSION: The prognostic nutritional index is associated with surgical morbidity in endometrial and cervical cancers and thus can be a useful tool for predicting morbidity and guide pre-operative interventions in patients with gynecological cancers.
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BACKGROUND: Artificial intelligence (AI) algorithms for the detection of retinoblastoma (RB) by fundus image analysis have been proposed as a potentially effective technique to facilitate diagnosis and screening programs. However, doubts remain about the accuracy of the technique, the best type of AI for this situation, and its feasibility for everyday use. Therefore, we performed a systematic review and meta-analysis to evaluate this issue. METHODS: Following PRISMA 2020 guidelines, a comprehensive search of MEDLINE, Embase, ClinicalTrials.gov and IEEEX databases identified 494 studies whose titles and abstracts were screened for eligibility. We included diagnostic studies that evaluated the accuracy of AI in identifying retinoblastoma based on fundus imaging. Univariate and bivariate analysis was performed using the random effects model. The study protocol was registered in PROSPERO under CRD42024499221. RESULTS: Six studies with 9902 fundus images were included, of which 5944 (60%) had confirmed RB. Only one dataset used a semi-supervised machine learning (ML) based method, all other studies used supervised ML, three using architectures requiring high computational power and two using more economical models. The pooled analysis of all models showed a sensitivity of 98.2% (95% CI: 0.947-0.994), a specificity of 98.5% (95% CI: 0.916-0.998) and an AUC of 0.986 (95% CI: 0.970-0.989). Subgroup analyses comparing models with high and low computational power showed no significant difference (p=0.824). CONCLUSIONS: AI methods showed a high precision in the diagnosis of RB based on fundus images with no significant difference when comparing high and low computational power models, suggesting a viability of their use. Validation and cost-effectiveness studies are needed in different income countries. Subpopulations should also be analyzed, as AI may be useful as an initial screening tool in populations at high risk for RB, serving as a bridge to the pediatric ophthalmologist or ocular oncologist, who are scarce globally. KEY MESSAGES: What is known Retinoblastoma is the most common intraocular cancer in childhood and diagnostic delay is the main factor leading to a poor prognosis. The application of machine learning techniques proposes reliable methods for screening and diagnosis of retinal diseases. What is new The meta-analysis of the diagnostic accuracy of artificial intelligence methods for diagnosing retinoblastoma based on fundus images showed a sensitivity of 98.2% (95% CI: 0.947-0.994) and a specificity of 98.5% (95% CI: 0.916-0.998). There was no statistically significant difference in the diagnostic accuracy of high and low computational power models. The overall performance of supervised machine learning was best than unsupervised, although few studies were available on the second type.
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Meningiomas (MGs), which arise from meningothelial cells of the dura mater, represent a significant proportion of primary tumours of the central nervous system (CNS). Despite advances in treatment, the management of malignant meningioma (MMG) remains challenging due to diagnostic, surgical, and resection limitations. Cancer stem cells (CSCs), a subpopulation within tumours capable of self-renewal and differentiation, are highlighted as key markers of tumour growth, metastasis, and treatment resistance. Identifying additional CSC-related markers enhances the precision of malignancy evaluations, enabling advancements in personalised medicine. The review discusses key CSC biomarkers that are associated with high levels of expression, aggressive tumour behaviour, and poor outcomes. Recent molecular research has identified CSC-related biomarkers, including Oct-4, Sox2, NANOG, and CD133, which help maintain cellular renewal, proliferation, and drug resistance in MGs. This study highlights new therapeutic strategies that could improve patient prognosis with more durable tumour regression. The use of combination therapies, such as hydroxyurea alongside diltiazem, suggests more efficient and effective MG management compared to monotherapy. Signalling pathways such as NOTCH and hedgehog also offer additional avenues for therapeutic development. CRISPR/Cas9 technology has also been employed to create meningioma models, uncovering pathways related to cell growth and proliferation. Since the efficacy of traditional therapies is limited in most cases due to resistance mechanisms in CSCs, further studies on the biology of CSCs are warranted to develop therapeutic interventions that are likely to be effective in MG. Consequently, improved diagnostic approaches may lead to personalised treatment plans tailored to the specific needs of each patient.
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Limited research exists on the effectiveness of cancer patient navigation (CPN) in limited-resource countries which are challenging for patients to navigate. The aim of this study was to report on the workflow, resources developed, and outcomes of pilot CPN program developed by the Caribbean Cancer Research Institute (CCRI) in the limited-resource country of Trinidad and Tobago. Three part-time navigators and a part-time program manager were trained in CPN and hired by the CCRI. A network of local service providers, program policies, an electronic medical records system, and informational blog posts were developed to support the pilot. Patients were referred at monthly multi-disciplinary team meetings of the Sangre Grande Hospital. Navigators provided navigation services for a maximum of 10 h. Changes in distress before and after navigation were measured using the National Comprehensive Cancer Network distress thermometer and evaluated using a paired t-test. Patient satisfaction with the navigator and the navigation service was evaluated in a post-navigation survey. One hundred and fifty-eight breast, prostate, pancreatic, and colon cancer patients were navigated. There was an average of 14 contacts between patient and navigator with an average of 30 min per contact. There were 631 barriers identified of which physical (27%; n = 172), informational (26%; n = 164), and emotional or psychological (25%; n = 158) were the top three most frequently reported. Resolutions were offered for 62% (n = 391) of reported barriers. The CPN intervention resulted in a statistically significant reduction in patient distress overall (- 2.4 [2.07-2.79], < 0.001) and across most patient subgroups. Almost all patients reported high satisfaction with navigation. CPN significantly improved patient distress, and patients reported high satisfaction with navigation in the limited-resource setting of Trinidad and Tobago.
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BACKGROUND: Patients with active cancer and aortic stenosis may be under-referred for valve interventions due to concerns over a prohibitive risk. However, whether active cancer impacts outcomes after transcatheter aortic valve replacement (TAVR) remains unknown. METHODS: We searched PubMed, Embase, and Cochrane Library in December 2023 for studies comparing the post-TAVR outcomes of patients with versus without active cancer. We pooled odds ratios (OR) and adjusted hazard ratios (aHR) with 95% confidence intervals (CI) applying a random-effects model. Statistical analyses were performed in R version 4.3.2. RESULTS: We included nine observational studies analyzing 133,906 patients, of whom 9,792 (7.3%) had active cancer. Compared with patients without cancer, patients with active cancer had higher short- (OR 1.33; 95% CI 1.15-1.55; p < 0.001) and long-term mortality (OR 2.29; 95% CI 1.80-2.91; p < 0.001) rates, not driven by cardiovascular mortality (OR 1.30; 95% CI 0.70-2.40; p = 0.40), and higher major bleeding rates (OR 1.66; 95% CI 1.15-2.42; p = 0.008). The higher mortality rate was sustained in an adjusted analysis (aHR 1.77; 95% CI 1.34-2.35; p < 0.001). There was no significant difference in cardiac, renal, and cerebral complications at a follow-up ranging from 180 days to 10 years. CONCLUSION: Patients with active cancer undergoing TAVR had higher non-cardiovascular mortality and bleeding rates, with comparable incidences of other complications. This highlights the need for a shared decision and appropriate patient selection considering cancer type, staging, bleeding risk, and optimal timing for intervention.
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Background: Adrenocortical tumours (ACT) in children are part of the Li-Fraumeni cancer spectrum and are frequently associated with a germline TP53 pathogenic variant. TP53 p.R337H is highly prevalent in the south and southeast of Brazil and predisposes to ACT with low penetrance. Thus, we aimed to investigate whether genetic variants exist which are associated with an increased risk of developing ACT in TP53 p.R337H carrier children. Methods: A genetic association study was conducted in trios of children (14 girls, 7 boys) from southern Brazil carriers of TP53 p.R337H with (n = 18) or without (n = 3) ACT and their parents, one of whom also carries this pathogenic variant (discovery cohort). Results were confirmed in a validation cohort of TP53 p.R337H carriers with (n = 90; 68 girls, 22 boys) or without ACT (n = 302; 165 women, 137 men). Findings: We analysed genomic data from whole exome sequencing of blood DNA from the trios. Using deep learning algorithms, according to a model where the affected child inherits from the non-carrier parent variant(s) increasing the risk of developing ACT, we found a significantly enriched representation of non-coding variants in genes involved in the cyclic AMP (cAMP) pathway known to be involved in adrenocortical tumorigenesis. One among those variants (rs2278986 in the SCARB1 gene) was confirmed to be significantly enriched in the validation cohort of TP53 p.R337H carriers with ACT compared to carriers without ACT (OR 1.858; 95% CI 1.146, 3.042, p = 0.01). Interpretation: Profiling of the variant rs2278986 is a candidate for future confirmation and possible use as a tool for ACT risk stratification in TP53 p.R337H carriers. Funding: Centre National de la Recherche Scientifique (CNRS), Behring Foundation, Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq).
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Chimeric antigen receptor T-cell therapy represents an innovative approach to immunotherapy and currently stands out, particularly for oncohematological patients refractory to traditional treatments. Ongoing trials are further expanding its clinical use for new oncological and non-oncological indications, potentially leading to newer treatment options soon. This new approach, however, also presents challenges, including cardiovascular toxicity. Little is reported in pivotal studies, and some recent retrospective observations suggest a non-negligible incidence of side effects with presentation ranging from mild adverse cardiovascular events to fatal complications in which, in most cases, there is a direct or indirect association with cytokine release syndrome. In this literature review, the hypotheses of an important interface between cytokine release syndrome and cardiotoxicity by chimeric antigen receptor T-cell therapy will be addressed, as will current knowledge about risk factors for cardiotoxicity and recommendations for pre-therapy evaluation, post-infusion monitoring and clinical management of these complications.
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This study evaluated the perspectives and educational needs of Canadian oncology residents with regard to artificial intelligence (AI) in medicine, exploring the influence of factors such as program of choice, gender, and tech literacy on their attitudes towards AI. An ethics-approved survey collected anonymous responses from Canadian oncology residents from December 2022 to July 2023. Comparisons by demographics were made using Chi-square and Mann-Whitney U tests. A total of 57 residents and fellows responded out of an expected 182, with representation from each oncology training program in Canada. Over half of the participants were male (63.2%), with radiation oncology programs being better represented than medical oncology programs (68.4% vs. 31.6%). There was balanced representation across all years of training. Most trainees (73%) were interested in learning more about AI, and many believed the topic should be formally taught during residency (63%), preferably through workshops (79%). Among evaluated factors, tech literacy showed the most impact over AI perspectives, driving a perception shift towards viewing AI as an improvement tool, rather than as a threat to professionals. In conclusion, Canadian oncology residents anticipate AI's growing influence in medicine but face educational deficiencies. Gender, oncology discipline, and self-reported tech literacy impact attitudes toward AI, highlighting the need for inclusive education.
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INTRODUCTION: The greater predisposition to infections, as well as the possibility of a worse response to treatment, can lead to the excessive use of antimicrobials among cancer patients. C-reactive protein (CRP) has gained prominence as a tool for monitoring therapeutic responses and reducing the duration of antibiotic therapy; however, few studies have analyzed this protein in cancer patient populations. We hypothesize that cancer patients with a good response to antibiotic therapy show a faster decline in serum CRP levels, which would allow us to identify candidates for short-course treatments. OBJECTIVE: To evaluate the behavior of serum CRP levels among adult cancer patients using antibiotic therapy, and its association with the duration of this treatment, therapeutic response, and clinical recurrence. METHODS: This work consisted of a retrospective study with cancer patients admitted to a university hospital between September 2018 and December 2019. Adults (age ≥ 18 years) who underwent at least one course of antibiotic therapy were included. CRP behavior over the first 7 days of treatment was classified as: i) good response: when the CRP value on the fifth day of therapy reached 50% or less of the peak value detected in the first 48 h of treatment, and ii) poor response: Maintenance, within the same interval, of a CRP value > 50% of the peak value in the first 48 h. The duration of antibiotic therapy was categorized as up to seven full days or more. Outcomes were assessed by events that occurred during the 30 days of hospitalization or until hospital discharge. PRIMARY OUTCOME: Clinical recurrence of the index infection. SECONDARY OUTCOMES: i) Death from any cause; ii) microbiological recurrence; iii) therapeutic response; iv) colitis associated with Clostridioides difficile; and v) isolation of multi-resistant bacteria, whether in clinical or surveillance samples. RESULTS: The final analysis consisted of 212 patients, with a median age (IQ) of 59.2 (48 - 67) years old and a predominance of females (65%), who were hypertensive (35%), smokers (21%), and diabetics (17.8%). There was no difference in clinical recurrence between the two groups (8.1% vs. 12.2%; p = 0.364), with a lower 30-day mortality in the good CRP response group (32.2% vs. 14.5%; p = 0.002). Despite the tendency towards a lower occurrence of other secondary outcomes in the good response group, these differences were not statistically significant. In the poor CRP response group, outcomes like clinical recurrence, mortality, and therapeutic response were significantly worse, regardless of the duration of antibiotic treatment. CONCLUSION: In this study, cancer patients with a good CRP response during antibiotic therapy presented lower mortality and a higher proportion of satisfactory therapeutic responses. CRP can be a useful tool when combined with other clinical information in optimizing the duration of antimicrobial treatment in a hospitalized cancer population.
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Antibacterianos , Infecções Bacterianas , Proteína C-Reativa , Neoplasias , Humanos , Proteína C-Reativa/análise , Masculino , Feminino , Antibacterianos/uso terapêutico , Antibacterianos/administração & dosagem , Estudos Retrospectivos , Neoplasias/tratamento farmacológico , Neoplasias/complicações , Pessoa de Meia-Idade , Idoso , Infecções Bacterianas/tratamento farmacológico , Infecções Bacterianas/mortalidade , Infecções Bacterianas/sangue , Prognóstico , Adulto , Resultado do TratamentoRESUMO
Background: Carbon dioxide (CO2), traditionally viewed as a mere byproduct of cellular respiration, plays a multifaceted role in human physiology beyond simple elimination through respiration. CO2 may regulate the tumor microenvironment by significantly affecting the release of oxygen (O2) to tissues through the Bohr effect and by modulating blood pH and vasodilation. Previous studies suggest hypercapnia (elevated CO2 levels) might trigger optimized cellular mechanisms with potential therapeutic benefits. The role of CO2 in cellular stress conditions within tumor environments and its impact on O2 utilization offers a new investigative area in oncology. Objectives: This study aims to explore CO2's role in the tumor environment, particularly how its physiological properties and adaptive responses can influence therapeutic strategies. Methods: By applying a structured translational approach using the Work Breakdown Structure method, the study divided the analysis into six interconnected work packages to comprehensively analyze the interactions between carbon dioxide and the tumor microenvironment. Methods included systematic literature reviews, data analyses, data integration for identifying critical success factors and exploring extracellular environment modulation. The research used SMART criteria for assessing innovation and the applicability of results. Results: The research revealed that the human body's adaptability to hypercapnic conditions could potentially inform innovative strategies for manipulating the tumor microenvironment. This could enhance O2 utilization efficiency and manage adaptive responses to cellular stress. The study proposed that carbon dioxide's hormetic potential could induce beneficial responses in the tumor microenvironment, prompting clinical protocols for experimental validation. The research underscored the importance of pH regulation, emphasizing CO2 and carbonic acid's role in modulating metabolic and signaling pathways related to cancer. Conclusion: The study underscores CO2 as vital to our physiology and suggests potential therapeutic uses within the tumor microenvironment. pH modulation and cellular oxygenation optimization via CO2 manipulation could offer innovative strategies to enhance existing cancer therapies. These findings encourage further exploration of CO2's therapeutic potential. Future research should focus on experimental validation and exploration of clinical applications, emphasizing the need for interdisciplinary and collaborative approaches to tackle current challenges in cancer treatment.
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OBJECTIVE: To evaluate the predictive ability of mortality prediction scales in cancer patients admitted to intensive care units (ICUs). DESIGN: A systematic review of the literature was conducted using a search algorithm in October 2022. The following databases were searched: PubMed, Scopus, Virtual Health Library (BVS), and Medrxiv. The risk of bias was assessed using the QUADAS-2 scale. SETTING: ICUs admitting cancer patients. PARTICIPANTS: Studies that included adult patients with an active cancer diagnosis who were admitted to the ICU. INTERVENTIONS: Integrative study without interventions. MAIN VARIABLES OF INTEREST: Mortality prediction, standardized mortality, discrimination, and calibration. RESULTS: Seven mortality risk prediction models were analyzed in cancer patients in the ICU. Most models (APACHE II, APACHE IV, SOFA, SAPS-II, SAPS-III, and MPM II) underestimated mortality, while the ICMM overestimated it. The APACHE II had the SMR (Standardized Mortality Ratio) value closest to 1, suggesting a better prognostic ability compared to the other models. CONCLUSIONS: Predicting mortality in ICU cancer patients remains an intricate challenge due to the lack of a definitive superior model and the inherent limitations of available prediction tools. For evidence-based informed clinical decision-making, it is crucial to consider the healthcare team's familiarity with each tool and its inherent limitations. Developing novel instruments or conducting large-scale validation studies is essential to enhance prediction accuracy and optimize patient care in this population.
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Our center launched the first antimicrobial stewardship program in Peru. From 2016 to 2023, the proportion of antimicrobial prescriptions audited increased from 60% to 95%, and 65% to 95% of recommendations were accepted. Vancomycin and meropenem use dropped by 95% and 84%, respectively. The proportion of recommendations for surgical prophylaxis exceeded 90%.
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BACKGROUND: Providing quality supportive therapy for children with cancer is essential to reduce the high mortality rates in low- and middle-income countries. Febrile neutropenia is the most common life-threatening complication of cancer in children. The objective of this study was to evaluate the long-term effectiveness of the 'Golden Hour' intervention in reducing the time to administer antibiotics and its impact on clinical outcomes in a Mexican hospital. METHODS: A comparative study of children with febrile neutropenia who attended the emergency department at the Hospital Universitario "Dr. José Eleuterio González" was performed between January 2017 and December 2022. In May 2019, this center joined the collaborative 'Mexico in Alliance with St. Jude' project. An adapted improvement program was developed based on the implementation of an algorithm comprising institutional guidance, supplies kit, standardization of sample processing, training of healthcare providers, and patient education. The time to antibiotic administration was compared with clinical outcomes between the historical control and post-intervention groups. RESULTS: A total of 291 patients were included, 122 in the pre-intervention period and 169 in the intervention period. Only 5.7 % of the pre-intervention group received the first dose of antibiotics within 60 min of presenting to the emergency department compared to 84.6 % in the intervention group (p-value <0.000). The median times to antibiotic administration in the pre-intervention and post-intervention periods were 269.4 and 50.54 min, respectively (p-value <0.000). Clinical deterioration and admission to the pediatric intensive care unit decreased significantly from 6.6 % to 2.3 % (p-value = 0.03). CONCLUSIONS: Sustainability of the quality improvement project 'Golden Hour' in low- to mid-income countries demonstrated high effectiveness in reducing time to antibiotic administration among children with febrile neutropenia and improved clinical outcomes over three years of implementation.
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Breast cancer, a prevalent malignancy among women, has various physical and psychological impacts. This comprehensive review offers an in-depth look at multidisciplinary dermo-aesthetic intervention approaches, emphasizing the balance between oncological therapies and the management of these effects. The information presented spans specialties such as aesthetic medicine, plastic surgery, dermatology, physiotherapy, nutrition, odontology, and gynecology. This review, which serves as a clinical guide, aims to establish a safe protocol for non-medical interventions involving oncologists, physicians, and specialists from various areas in patients with breast cancer focused on improving their quality of life. This work offers personalized and integrative care strategies for the eradication of cancer. However, it is still necessary for patients to consult with their oncologist before undergoing any dermo aesthetic treatment. However, it is still necessary for patients to consult with their oncologist before undergoing any dermo aesthetic treatment.
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Cancer, the second leading global cause of death, impacts both physically and emotionally. Conventional treatments such as surgeries, chemotherapy, and radiotherapy have adverse effects, driving the need for more precise approaches. Precision medicine enables more targeted treatments. Genetic mapping, alongside other molecular biology approaches, identifies specific genes, contributing to accurate prognoses. The review addresses, in clinical use, a molecular perspective on treatment. Biomarkers like alpha-fetoprotein, beta-human chorionic gonadotropin, 5-hydroxyindoleacetic acid, programmed death-1, and cytotoxic T lymphocyte-associated protein 4 are explored, providing valuable information. Bioinformatics, with an emphasis on artificial intelligence, revolutionizes the analysis of biological data, offering more accurate diagnoses. Techniques like liquid biopsy are emphasized for early detection. Precision medicine guides therapeutic strategies based on the molecular characteristics of the tumor, as evidenced in the molecular subtypes of breast cancer. Classifications allow personalized treatments, highlighting the role of trastuzumab and endocrine therapies. Despite the benefits, challenges persist, including high costs, tumor heterogeneity, and ethical issues. Overcoming obstacles requires collaboration, ensuring that advances in molecular biology translate into accessible benefits for all.