Expression of anaplastic lymphokinase and HER2/neu immunostaining in patients with breast carcinoma

Background: The diagnosis and prognosis of breast cancer is done with various immunomarkers including estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor-2 (HER2/neu), and Ki-67. The diagnostic utility of Anaplastic Lymphokinase (ALK) and HER2/neu should be explored for better management of breast carcinoma patients. So, the present study was designed to determine the expression of immunostaining with ALK and HER2/neu in patients with breast cancer and to compare the association of ALK expression and HER2/neu with clinicopathological parameters.Methods: This is a cross sectional multicenter study carried out from October 2016 to March 2017. A total of 140 subjects having breast carcinoma by using non-probability purposive sampling technique were selected. After taking informed consent, tissue samples were taken from received specimen of mastectomy for hematoxylin and eosin stain. The immunohistochemistry for ALK and HER2/neu were assessed on the paraffin blocks of the tumor.Results: Out of total 140 cases invasive ductal carcinoma (89%), invasive lobular carcinoma (8%), invasive medullary carcinoma (2.1%) and papillary carcinoma (0.7%) were seen. ALK expression was positive in 81 patients (58%) while HER2/neu expression was positive in 53 cases (38%). Significant association was observed between ALK expression with histological grade, lymph node involvement, skin involvement and necrosis. There was also a significant association was seen between HER2/neu expression with lymph node metastasis and necrosis.Conclusions: Present study shows higher expression of ALK when compared to HER2/neu expression in breast cancer patients

The diagnostic utility of ancillary CD117 immunomarker compared with cell block cytology of thyroid lesions based on Bethesda grading system

Background: This is a cross sectional multicenter study carried out from July 2017 to December 2017. The aim of the present study is to evaluate the fine needle aspiration cytology and cell block of thyroid lesions on the basis of Bethesda grading system. Also, expression of CD117 immunostaining in thyroid lesions was evaluated. Finally, the results of cell block were compared with expression of CD117 immunomarker for diagnostic confirmation of different thyroid lesions.Methods: Total one hundred (100) patients presenting with thyroid swelling underwent fine needle aspiration, cell block preparation to diagnose and categorize thyroid lesion on the basis of Bethesda grading system and finally immunostaining with CD117 was carried out.Results: FNAC results showed 71% patients with benign thyroid morphology and about 23% cases were categorized as atypical to fairly malignant. In cell block study benign lesions diagnosed were 77%, 17% cases as suspicious and 6% were malignant thyroid nodules. Whereas expression of ancillary CD117 immunomarker, confirmed 83% as benign lesions and 17% cases as malignant. Overall ancillary CD117 immunomarker established the better diagnosis to manage and differentiate thyroid lesions.Conclusions: Cell block results are more accurate than FNAC in thyroid patients. The CD117 immunomarkers can be used as better diagnostic tool for confirmation of thyroid lesions and thus it can reduce unnecessary surgical intervention

Frequency of early post operative complications of modified radical mastectomy within period of four weeks

Background: Most of the complications are developed after modified radical mastectomy in breast cancer patients, hence to avoid and reduces the postoperative complications, this study is performed to identify the frequency of early post-operative complications of modified Radical Mastectomy within the period of four weeks.Methods: Cross-sectional case series using non-probability convenient sampling technique was conducted in surgical unit I of Tertiary care hospital, for 1 year from 15 January 2018 to 14 January 2019. 89 patients FNAC proved breast cancer were included, patients that received neoadjuvant chemo or radiotherapy or with inflammatory breast cancer, metastasis and with co-morbid were excluded. After taking consent patients were operated by senior consultant. Follow up was taken daily 7th post-operative day and then followed in OPD on weekly basis fourth week and final outcome was noted. SPSS version 23 was used for data analysis. Quantitative data was reported as frequency in percentages.Results: Total 31 patients developed complications during the study, accounts 34% of total patients. The most common complication was breast seroma in 12(13.48%) of cases with an increased risk in cases of age >50 yr, size of tumor >8 cm, weight >70 kg and increased number of lymph nodes [3 or above] palpable after wards hematoma in 6(6.74%), lymphedema in 5(5.62%), wound infection 4(4.49%) and shoulder dysfunction in 4(4.49%) patients, no patient was found scar hypertrophy.Conclusions: Seroma formation, hematoma were found most common early complications after modified radical mastectomy, lymphedema, wound infection and shoulder dysfunction were observed in small number of patients

Characteristics and outcomes of an international cohort of 600 000 hospitalized patients with COVID-19

Background: We describe demographic features, treatments and clinical outcomes in the International Severe Acute Respiratory and emerging Infection Consortium (ISARIC) COVID-19 cohort, one of the world's largest international, standardized data sets concerning hospitalized patients. Methods: The data set analysed includes COVID-19 patients hospitalized between January 2020 and January 2022 in 52 countries. We investigated how symptoms on admission, co-morbidities, risk factors and treatments varied by age, sex and other characteristics. We used Cox regression models to investigate associations between demographics, symptoms, co-morbidities and other factors with risk of death, admission to an intensive care unit (ICU) and invasive mechanical ventilation (IMV). Results: Data were available for 689 572 patients with laboratory-confirmed (91.1%) or clinically diagnosed (8.9%) SARS-CoV-2 infection from 52 countries. Age [adjusted hazard ratio per 10 years 1.49 (95% CI 1.48, 1.49)] and male sex [1.23 (1.21, 1.24)] were associated with a higher risk of death. Rates of admission to an ICU and use of IMV increased with age up to age 60 years then dropped. Symptoms, co-morbidities and treatments varied by age and had varied associations with clinical outcomes. The case-fatality ratio varied by country partly due to differences in the clinical characteristics of recruited patients and was on average 21.5%. Conclusions: Age was the strongest determinant of risk of death, with a ∼30-fold difference between the oldest and youngest groups; each of the co-morbidities included was associated with up to an almost 2-fold increase in risk. Smoking and obesity were also associated with a higher risk of death. The size of our international database and the standardized data collection method make this study a comprehensive international description of COVID-19 clinical features. Our findings may inform strategies that involve prioritization of patients hospitalized with COVID-19 who have a higher risk of death

The value of open-source clinical science in pandemic response: lessons from ISARIC

International audienc

ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing comorbidities, vital signs, chronic and acute treatments, complications, dates of hospitalization and discharge, mortality, viral strains, vaccination status, and other data. Here, we present the dataset characteristics, explain its architecture and how to gain access, and provide tools to facilitate its use

Respiratory support in patients with severe COVID-19 in the International Severe Acute Respiratory and Emerging Infection (ISARIC) COVID-19 study: a prospective, multinational, observational study

Background: Up to 30% of hospitalised patients with COVID-19 require advanced respiratory support, including high-flow nasal cannulas (HFNC), non-invasive mechanical ventilation (NIV), or invasive mechanical ventilation (IMV). We aimed to describe the clinical characteristics, outcomes and risk factors for failing non-invasive respiratory support in patients treated with severe COVID-19 during the first two years of the pandemic in high-income countries (HICs) and low middle-income countries (LMICs). Methods: This is a multinational, multicentre, prospective cohort study embedded in the ISARIC-WHO COVID-19 Clinical Characterisation Protocol. Patients with laboratory-confirmed SARS-CoV-2 infection who required hospital admission were recruited prospectively. Patients treated with HFNC, NIV, or IMV within the first 24 h of hospital admission were included in this study. Descriptive statistics, random forest, and logistic regression analyses were used to describe clinical characteristics and compare clinical outcomes among patients treated with the different types of advanced respiratory support. Results: A total of 66,565 patients were included in this study. Overall, 82.6% of patients were treated in HIC, and 40.6% were admitted to the hospital during the first pandemic wave. During the first 24 h after hospital admission, patients in HICs were more frequently treated with HFNC (48.0%), followed by NIV (38.6%) and IMV (13.4%). In contrast, patients admitted in lower- and middle-income countries (LMICs) were less frequently treated with HFNC (16.1%) and the majority received IMV (59.1%). The failure rate of non-invasive respiratory support (i.e. HFNC or NIV) was 15.5%, of which 71.2% were from HIC and 28.8% from LMIC. The variables most strongly associated with non-invasive ventilation failure, defined as progression to IMV, were high leukocyte counts at hospital admission (OR [95%CI]; 5.86 [4.83-7.10]), treatment in an LMIC (OR [95%CI]; 2.04 [1.97-2.11]), and tachypnoea at hospital admission (OR [95%CI]; 1.16 [1.14-1.18]). Patients who failed HFNC/NIV had a higher 28-day fatality ratio (OR [95%CI]; 1.27 [1.25-1.30]). Conclusions: In the present international cohort, the most frequently used advanced respiratory support was the HFNC. However, IMV was used more often in LMIC. Higher leucocyte count, tachypnoea, and treatment in LMIC were risk factors for HFNC/NIV failure. HFNC/NIV failure was related to worse clinical outcomes, such as 28-day mortality. Trial registration This is a prospective observational study; therefore, no health care interventions were applied to participants, and trial registration is not applicable

Respiratory support in patients with severe COVID-19 in the International Severe Acute Respiratory and Emerging Infection (ISARIC) COVID-19 study: a prospective, multinational, observational study

Background: Up to 30% of hospitalised patients with COVID-19 require advanced respiratory support, including high-flow nasal cannulas (HFNC), non-invasive mechanical ventilation (NIV), or invasive mechanical ventilation (IMV). We aimed to describe the clinical characteristics, outcomes and risk factors for failing non-invasive respiratory support in patients treated with severe COVID-19 during the first two years of the pandemic in high-income countries (HICs) and low middle-income countries (LMICs). Methods: This is a multinational, multicentre, prospective cohort study embedded in the ISARIC-WHO COVID-19 Clinical Characterisation Protocol. Patients with laboratory-confirmed SARS-CoV-2 infection who required hospital admission were recruited prospectively. Patients treated with HFNC, NIV, or IMV within the first 24 h of hospital admission were included in this study. Descriptive statistics, random forest, and logistic regression analyses were used to describe clinical characteristics and compare clinical outcomes among patients treated with the different types of advanced respiratory support. Results: A total of 66,565 patients were included in this study. Overall, 82.6% of patients were treated in HIC, and 40.6% were admitted to the hospital during the first pandemic wave. During the first 24 h after hospital admission, patients in HICs were more frequently treated with HFNC (48.0%), followed by NIV (38.6%) and IMV (13.4%). In contrast, patients admitted in lower- and middle-income countries (LMICs) were less frequently treated with HFNC (16.1%) and the majority received IMV (59.1%). The failure rate of non-invasive respiratory support (i.e. HFNC or NIV) was 15.5%, of which 71.2% were from HIC and 28.8% from LMIC. The variables most strongly associated with non-invasive ventilation failure, defined as progression to IMV, were high leukocyte counts at hospital admission (OR [95%CI]; 5.86 [4.83–7.10]), treatment in an LMIC (OR [95%CI]; 2.04 [1.97–2.11]), and tachypnoea at hospital admission (OR [95%CI]; 1.16 [1.14–1.18]). Patients who failed HFNC/NIV had a higher 28-day fatality ratio (OR [95%CI]; 1.27 [1.25–1.30]). Conclusions: In the present international cohort, the most frequently used advanced respiratory support was the HFNC. However, IMV was used more often in LMIC. Higher leucocyte count, tachypnoea, and treatment in LMIC were risk factors for HFNC/NIV failure. HFNC/NIV failure was related to worse clinical outcomes, such as 28-day mortality. Trial registration This is a prospective observational study; therefore, no health care interventions were applied to participants, and trial registration is not applicable