Kshivets O. Lung Cancer Surgery

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5-Year Survival of Non-Small Cell Lung Cancer Patients after Radical Surgery Significantly Depended on Phase Transition “Early-Invasive Cancer”, Lymph Node Metastases and Cell Ratio Factors

Gesundheit & Medizin

Abstract ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Staging ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Survival Rate ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

General Lung Cancer Patients Survival after Complete Procedures (Kaplan-Meier) ( n= 602)

Early and Invasive Lung Cancer Patients Survival after Complete Procedures (Kaplan-Meier) ( n= 602)

Survival of Lung Cancer Patients with N0 and N1-2 after Complete Procedures (Kaplan-Meier) ( n= 602)

Results of Cox Regression Modeling in Prediction of Lung Cancer Patients Survival after Complete Procedures (n=602 ) Overall Chi2=171.3; df=6; P=0.000; ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Results of Discriminant Analysis in Prediction of Lung Cancer Patients Survival after Complete Procedures (n=557) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Results of Multi-Factor Clustering of Clinicopathological Data in Prediction of Lung Cancer Patients Survival after Complete Procedures (n=557)

Results of Clustering in Prediction of Lung Cancer Patients Survival after Complete Procedures (n=557) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Neural Networks in Prediction of Lung Cancer Patients Survival after Complete Procedures (n=557) ,[object Object],[object Object],[object Object],[object Object],[object Object]

Results of Neural Networks Computing in Prediction of Lung Cancer Patients Survival after Complete Procedures (n=557) Error=0.00 0 ; Area under ROC Curve=1.00; Correct Classification Rate=100% ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Results of Genetic Algorithm Selection in Prediction of Lung Cancer Patients Survival after Complete Procedures (n=557) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Results of Kohonen Self-Organizing Neural Networks Computing in Prediction of Lung Cancer Patients Survival after Complete Procedures (n=557)

Results of Bootstrap Simulation in Prediction of Lung Cancer Patients Survival after Complete Procedures (n=557) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Ratio of Lymphocytes and Erythrocytes to Cancer Cells & Glucose Level in Prediction of Lung Cancer Patients Survival after Complete Procedures (n=557)

Prognostic SEPATH-Model of Lung Cancer Patients Survival after Complete Procedures (n=557)

Conclusions: ,[object Object],[object Object],[object Object],[object Object]

Address: Oleg Kshivets M.D., Ph.D., Consultant Thoracic, Abdominal, General Surgeon & Surgical Oncologist ,[object Object],[object Object],[object Object],[object Object],[object Object]

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5-year survival of GCP after radical procedures significantly depended on: 1) PT “early-invasive cancer”; 2) PT N0--N12; 3) Cell Ratio Factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) GC cell dynamics; 9) GC characteristics; 10) tumor localization; 11) anthropometric data; 12) surgery type. Optimal diagnosis and treatment strategies for GC are: 1) screening and early detection of GC; 2) availability of sufficient quantity of experienced abdominal surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunotherapy for GCP with unfavorable prognosis.

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5YS of local advanced ECP after combined radical procedures significantly depended on: tumor characteristics, blood cell circuit, cell ratio factors, biochemical factors, hemostasis system, anthropometric data and adjuvant treatment. Optimal strategies for local advanced ECP are: 1) availability of very experienced thoracoabdominal surgeons because of complexity radical procedures; 2) aggressive en block surgery and adequate lymph node dissection for completeness; 3) precise prediction; 4) AT for ECP with unfavorable prognosis.

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5-year survival of ECP after radical procedures significantly depended on: 1) PT “early-invasive cancer”; 2) PT N0--N12; 3) Cell Ratio Factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) EC characteristics; 9) EC cell dynamics; 10) tumor localization; 11) anthropometric data; 12) surgery type. Optimal diagnosis and treatment strategies for EC are: 1) screening and early detection of EC; 2) availability of experienced thoracoabdominal surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunoradiotherapy for ECP with unfavorable prognosis.

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Kshivets_ELCC2023.pdf

Oleg Kshivets

OBJECTIVE: 5-survival (5YS) and life span after radical surgery for non-small cell lung cancer (LC) pa¬tients (LCP) (T1-4N0-2M0) was analyzed. METHODS: We analyzed data of 771 consecutive LCP (age=57.6±8.3 years; tumor size=4.1±2.4 cm) radically operated and monitored in 1985-2022 (m=662, f=109; upper lobectomies=278, lower lobectomies=178, middle lobectomies=18, bilobectomies=42, pneumonectomies=255, mediastinal lymph node dissection=771; combined procedures with resection of trachea, carina, atrium, aorta, VCS, vena azygos, pericardium, liver, diaphragm, ribs, esophagus=194; only surgery-S=620, adjuvant chemoimmunoradiotherapy-AT=151: CAV/gemzar + cisplatin + thymalin/taktivin + radiotherapy 45-50Gy; T1=322, T2=255, T3=133, T4=61; N0=518, N1=131, N2=122, M0=771; G1=195, G2=243, G3=333; squamous=418, adenocarcinoma=303, large cell=50; early LC=215, invasive LC=556; right LC=413, left LC=358; central=291; peripheral=480. Variables selected for study were input levels of 45 blood parameters, sex, age, TNMG, cell type, tumor size. Regression modeling, clustering, SEPATH, Monte Carlo, bootstrap and neural networks computing were used to determine significant dependence. RESULTS: Overall life span (LS) was 2240.9±1748.8 days and cumulative 5-year survival (5YS) reached 73%, 10 years – 64.2%, 20 years – 43%. 503 LCP lived more than 5 years (LS=3126.6±1536 days), 145 LCP – more than 10 years (LS=5068.5±1513.2 days).199 LCP died because of LC (LS=562.7±374.5 days). 5YS of LCP after bi/lobectomies was significantly superior in comparison with LCP after pneumonectomies (77.7% vs.63.4%, P=0.00001 by log-rank test). AT significantly improved 5YS (64.4% vs. 34.8%) (P=0.00003 by log-rank test) only for LCP with N1-2. Cox modeling displayed that 5YS of LCP significantly depended on: phase transition (PT) early-invasive LC in terms of synergetics, PT N0—N12, cell ratio factors (ratio between cancer cells- CC and blood cells subpopulations), G1-3, histology, glucose, AT, blood cell circuit, prothrombin index, heparin tolerance, recalcification time (P=0.000-0.035). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and PT early-invasive LC (rank=1), PT N0—N12 (rank=2), thrombocytes/CC (3), eosinophils/CC (4), erythrocytes/CC (5),healthy cells/CC (6), segmented neutrophils/CC (7), lymphocytes/CC (8), stick neutrophils/CC (9), monocytes/CC (10); leucocytes/CC (11). Correct prediction of 5YS was 100% by neural networks computing (area under ROC curve=1.0; error=0.0). CONCLUSIONS: 5YS of LCP after radical procedures significantly depended on: PT early-invasive cancer; PT N0--N12; cell ratio factors; blood cell circuit; biochemical factors; hemostasis system; AT; LC characteristics; surgery type; anthropometric data.

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Optimization of Management for Esophageal Cancer Patients (T1-4N0-2M0). Kshivets Oleg Surgery Department, Bagrationovsk Hospital, Bagrationovsk, Kaliningrad, Russia ABSTRACT OBJECTIVE: 5-survival (5YS) and life span after radical surgery for esophageal cancer (EC) pa¬tients (ECP)(T1-4N0-2M0) - alive supersysems was analyzed. The importance must be stressed of using complex system analysis, artificial intelligence (neural networks computing), simulation modeling and statistical methods in combination, because the different approaches yield complementary pieces of prognostic information. METHODS: We analyzed data of 563 consecutive ECP (age=56.6±8.9 years; tumor size=6±3.5 cm) radically operated (R0) and monitored in 1975-2024 (m=419, f=144; esophagogastrectomies (EG) Garlock=289, EG Lewis=274, combined EG with resection of pancreas, liver, diaphragm, aorta, VCS, colon transversum, lung, trachea, pericardium, splenectomy=170; adenocarcinoma=323, squamous=230, mix=10; T1=131, T2=119, T3=185, T4=128; N0=285, N1=71, N2=207; G1=161, G2=143, G3=259; early EC=112, invasive=451; only surgery=428, adjuvant chemoimmunoradiotherapy-AT=135: 5-FU+thymalin/taktivin+radiotherapy 45-50Gy). Multivariate Cox modeling, clustering, SEPATH, Monte Carlo, bootstrap and neural networks computing were used to determine any significant dependence. RESULTS: Overall life span (LS) was 1915.4±2284.8 days and cumulative 5-year survival (5YS) reached 52.6%, 10 years – 46.3%, 20 years – 33.3%, 30 years – 27.5%. 193 ECP lived more than 5 years (LS=4309.1±2507.4 days), 105 ECP – more than 10 years (LS=5860.8±2469.2 days). 228 ECP died because of EC (LS=629.8±324.1 days). AT significantly improved 5YS (69% vs. 49.1%) (P=0.0007 by log-rank test). 5YS of ECP of upper/3 was significantly better than others (65.3% vs.50.3%) (P=0.003). Cox modeling displayed that 5YS of ECP significantly depended on: phase transition (PT) N0—N12 in terms of synergetics, cell ratio factors (ratio between cancer cells- CC and blood cells subpopulations), T, G, histology, age, AT, localization, prothrombin index, hemorrhage time, residual nitrogen, protein (P=0.000-0.019). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and healthy cells/CC (rank=1), PT N0—N12 (2), PT early-invasive EC (3), erythrocytes/CC (4), thrombocytes/CC (5); segmented neutrophils/CC (6), stick neutrophils/CC (7), lymphocytes/CC (8), eosinophils/CC (9), monocytes/CC (10), leucocytes/CC (11). Correct prediction of 5YS was 100% by neural networks computing (area under ROC curve=1.0; error=0.0). CONCLUSIONS: 5-year survival of ECP after radical procedures significantly depended on: 1) PT “early-invasive cancer”; 2) PT N0--N12; 3) Cell Ratio Factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) EC cell dynamics; 9) EC characteristics; 10) tumor localization; 11) anthropometric data; 12) surgery type. Optimal diagnosis and trea

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Kshivets_IASLC_Singapore2023.pdf

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5-year survival of GCP after radical procedures significantly depended on: 1) PT “early-invasive cancer”; 2) PT N0--N12; 3) Cell Ratio Factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) GC characteristics; 9) GC cell dynamics; 10) tumor localization; 11) anthropometric data; 12) surgery type. Best diagnosis and treatment strategies for GC are: 1) screening and early detection of GC; 2) availability of experienced abdominal surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunotherapy for GCP with unfavorable prognosis.

Kshivets_WCGIC2023.pdf

Oleg Kshivets

OBJECTIVE: We examined factors significantly affecting lung cancer (LC) cell dynamics. METHODS: We analyzed data of 768 consecutive non-small cell LC patients (LCP) (age=57.6±8.3 years; tumor size=4.1±2.4 cm) radically operated and monitored in 1985-2022 (m=660, f=108; upper lobectomies=277, lower lobectomies=177, middle lobectomies=18, bilobectomies=42, pneumonectomies=254, mediastinal lymph node dissection=768; combined procedures with resection of trachea, carina, atrium, aorta, VCS, vena azygos, pericardium, liver, diaphragm, ribs, esophagus=193; only surgery-S=618, adjuvant chemoimmunoradiotherapy-AT=150: CAV/gemzar + cisplatin + thymalin/taktivin + radiotherapy 45-50Gy; T1=320, T2=255, T3=133, T4=60; N0=516, N1=131, N2=121, M0=768; G1=194, G2=243, G3=331; squamous=417, adenocarcinoma=301, large cell=50; early LC=214, invasive LC=554; right LC=412, left LC=356; central=290; peripheral=478. Variables selected for study were input levels of 45 blood parameters, sex, age, TNMG, cell type, tumor size. Regression modeling, clustering, SEPATH, Monte Carlo, bootstrap and neural networks computing were used to determine significant dependence. RESULTS: Overall life span (LS) was 2244.9±1750.3 days and cumulative 5-year survival (5YS) reached 72.9%, 10 years – 64.3%, 20 years – 43.1%. 502 LCP lived more than 5 years (LS=3128.7±1536.8 days), 145 LCP – more than 10 years (LS=5068.5±1513.2 days).199 LCP died because of LC (LS=562.7±374.5 days). Regression modeling displayed LC cell dynamics significantly depended on: phase transition (PT) early-invasive LC in terms of synergetics, PT N0—N12, histology, T, G, LC growth, cell ratio factors (ratio between cancer cells- CC and blood cells subpopulations), ESS, glucose, bilirubin (P=0.000-0.033). Neural networks simulation revealed relationships between LC cell dynamics and segmented neutrophils (rank=1), lymphocytes (2), PT N0—N12 (3), PT early-invasive LC (4), leucocytes (5), stick neutrophils (6), eosinophils (7), erythrocytes (8), monocytes (9), thrombocytes (10), Hb (11), ESS (12). Prediction was 92-95% by neural networks computing. CONCLUSIONS: Lung cancer cell dynamics significantly depended on blood cell circuit, biochemical factors, hemostasis system, cancer characteristics, anthropometric data.

Lung cancer cell dynamics significantly depended on blood cell circuit, bioch...

Oleg Kshivets

OBJECTIVE: We examined cell ratio factors (CRF) significantly affecting gastric cancer (EC) patients GCP) survival. CRF - ratio between cancer cells (CC) and blood cells subpopulations. METHODS: We analyzed data of 799 consecutive GCP (T1-4N0-2M0) (age=57.1±9.4 years; tumor size=5.4±3.1 cm) radically operated (R0) and monitored in 1975-2022 (m=558, f=241; total gastrectomies=173, distal gastrectomies=461; proximal gastrectomies=165; combined gastrectomies=247 with resection of esophagus, pancreas, liver, duodenum, diaphragm, colon transversum, splenectomy, etc; only surgery-S=624, adjuvant chemoimmunotherapy-AT=175 (5-FU + thymalin/taktivin); T1=238, T2=220, T3=184, T4=157; N0=437, N1=109, N2=253, M0=799; G1=222, G2=164, G3=413. Variables selected for prognosis study were input levels of 45 blood parameters, sex, age, TNMG, cell type, tumor size. Survival curves were estimated by the Kaplan-Meier method. Differences in curves between groups of GCP were evaluated using a log-rank test. Multivariate Cox modeling, discriminant analysis, clustering, SEPATH, Monte Carlo, bootstrap and neural networks computing were used to determine any significant dependence. RESULTS: Overall life span (LS) was 2128.9±2300.3 days and cumulative 5-year survival (5YS) reached 58.4%, 10 years – 51.9%, 20 years – 39%, 30 years – 27.2%. 318 GCP lived more than 5 years (LS=4304.5±2290.6 days), 169 GCP – more than 10 years (LS=5919.5±2020 days). 290 GCP died because of GC (LS=651±347.2 days). Cox modeling displayed that G CP survival significantly depended on CRF: healthy cells/CC, erythrocytes/CC, monocytes/CC, phase transition (PT) in terms of synergetics early—invasive cancer; PT N0--N12, age, G1-3, hemorrhage time, ESS, sex, AT, prothrombin index, residual nitrogen. Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and PT early—invasive cancer (rank=1); PT N0--N12 (2); healthy cells/CC (3), erythrocytes/CC (4), thrombocytes/CC (5), monocytes/CC (6), segmented neutrophils/CC (7), leucocytes/CC (8), lymphocytes/CC (9), stick neutrophils/CC (10), eosinophils/CC (11). Correct prediction of 5YS was 100% by neural networks computing (area under ROC curve=1.0; error=0.0). CONCLUSIONS: GCP survival after radical procedures significantly depended on CRF.

• Gastric cancer prognosis and cell ratio factors

Oleg Kshivets

10-Year survival of GCP after radical procedures significantly depended on: 1) PT early-invasive cancer; 2) PT N0--N12; 3) cell ratio factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) GC characteristics; 9) anthropometric data; 10) surgery type. Optimal diagnosis and treatment strategies for GC are: 1) screening and early detection of GC; 2) availability of experienced abdominal surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunotherapy for GCP with unfavorable prognosis.

Kshivets gc 10_ys_wjarr-2021-0659

Oleg Kshivets

Conclusions: 10-Year survival of LCP after radical procedures significantly depended on: 1) PT early-invasive cancer; 2) PT N0--N12; 3) cell ratio factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) LC characteristics; 9) anthropometric data; 10) surgery type. Optimal diagnosis and treatment strategies for LC are: 1) screening and early detection of LC; 2) availability of experienced thoracic surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunoradiotherapy for LCP with unfavorable prognosis.

Kshivets lc10 ys_wjarr

Oleg Kshivets

10-Year survival after radical procedures significantly depended on: 1) PT “early-invasive cancer”; 2) PT N0--N12; 3) Cell Ratio Factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) EC characteristics; 9) tumor localization; 10) anthropometric data; 11) surgery type. Optimal diagnosis and treatment strategies for EC are: 1) screening and early detection of EC; 2) availability of experienced thoracoabdominal surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunoradiotherapy for ECP with unfavorable prognosis.

Kshivets eso10 y2021

Oleg Kshivets

Gastric Cancer: 10-Year Survival Kshivets Oleg Surgery Department, Roshal Hospital, Moscow, Russia CONCLUSIONS: 10-Year survival of GCP after radical procedures significantly depended on: 1) PT early-invasive cancer; 2) PT N0--N12; 3) cell ratio factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) GC characteristics; 9) anthropometric data; 10) surgery type. Optimal diagnosis and treatment strategies for GC are: 1) screening and early detection of GC; 2) availability of experienced abdominal surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunotherapy for GCP with unfavorable prognosis.

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ANATOMY AND PHYSIOLOGY OF REPRODUCTIVE SYSTEM.pptx

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ANATOMY AND PHYSIOLOGY OF RESPIRATORY SYSTEM.pptx

Swetaba Besh

Dr. Faiza delivers an insightful lecture on the distinguishing characteristics of skeletal, smooth, and cardiac muscles, offering a comprehensive understanding of their histology, physiological anatomy, electrophysiological properties, and contractile mechanisms. Through meticulous tabulation and comparison, she aims to equip learners with a detailed comprehension of the unique features and functionalities of each muscle type. Beginning with a detailed exploration of histological differences, Dr. Faiza outlines key distinctions such as multinucleation in skeletal muscle, mononucleation in smooth and cardiac muscles, and the presence of striations in skeletal and cardiac muscles. She meticulously elucidates the structural arrangement of each muscle type, highlighting their cellular morphology and organization within tissues. Transitioning to physiological anatomy, Dr. Faiza navigates through various aspects including innervation, level of control, initiation of contraction, and modification by hormones. By delineating the role of the somatic nervous system in skeletal muscle control, and contrasting it with the autonomic nervous system's influence on smooth and cardiac muscles, she offers a nuanced understanding of neural regulation in muscle physiology. Furthermore, Dr. Faiza delves into electrophysiological properties, elucidating the mechanisms underlying action potential generation, duration, and ionic basis in each muscle type. Through insightful analysis, she reveals how differences in action potential characteristics contribute to variations in muscle contraction speed, duration, and resistance to fatigue. Finally, Dr. Faiza meticulously examines the contractile mechanisms of skeletal, smooth, and cardiac muscles, shedding light on the sliding filament theory, mechanisms of calcium action, and speed of contraction. By comprehensively comparing these mechanisms, she provides learners with a deep understanding of the intricate processes governing muscle contraction and function. Through engaging presentation and meticulous analysis, Dr. Faiza's lecture serves as a valuable resource for students seeking a thorough understanding of the fundamental differences between skeletal, smooth, and cardiac muscles.

Difference Between Skeletal Smooth and Cardiac Muscles

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In this lecture on circulatory shock, Dr. Faiza, an Assistant Professor of Physiology, delves into the profound implications of inadequate blood flow throughout the body, leading to tissue damage. The session begins by defining circulatory shock and elucidating its physiological causes, including decreased cardiac output, diminished blood volume, decreased vascular tone, obstruction to blood flow, excess metabolic rate, and abnormal perfusion patterns. Dr. Faiza categorizes shock into various types, such as cardiogenic shock, hypovolemic shock, neurogenic shock, obstructive shock, anaphylactic shock, and septic shock, and explores the pathophysiological basis of each. Furthermore, the lecture examines the stages of shock, from the non-progressive phase where compensatory mechanisms aim for full recovery to the progressive phase where shock worsens steadily without intervention, potentially leading to irreversible damage. Dr. Faiza discusses therapeutic interventions for shock, including replacement therapy, blood and plasma transfusion, sympathomimetic drugs, and other adjunctive treatments like head-down positioning, oxygen therapy, and glucocorticoids.

Circulatory Shock, types and stages, compensatory mechanisms

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