The effectiveness of treatment of patients with pulmonary tuberculosis with multiple decay cavities

1993 ◽  
Vol 74 (1) ◽  
pp. 24-28
Author(s):  
G. A. Smirnov ◽  
E. A. Martynenkova ◽  
R. M. Fattakhova ◽  
R. Sh. Valiev
Keyword(s):  
Pulmonary Tuberculosis ◽  
Clinical Course ◽  
Separate Analysis ◽  
Destructive Process ◽  
Complex Therapy ◽  
Different Types

Pulmonary tuberculosis with multiple decay cavities is classified as a common destructive process and is treated with more intensive methods. We have drawn attention to the fact that the processes with the number of cavities more than one are very different in the nature of the flow. Having accumulated a sufficient number of observations over 15 years, we decided to conduct a separate analysis of the clinical course of the disease and evaluate the effectiveness of some methods of complex therapy in different types of pulmonary tuberculosis with multiple decay cavities.

scholarly journals EXTRAPLEURAL PNEUMOLYSIS FOR CAVITARY PULMONARY TUBERCULOSIS TREATMENT

2020 ◽  
pp. 15-20
Author(s):  
P. G. Gadzhieva ◽  
D. B. Giller ◽  
A. A. Glotov ◽  
O. Sh. Kesaev ◽  
V. V. Koroev ◽  
...  
Keyword(s):  
Pulmonary Tuberculosis ◽  
Multidrug Resistant ◽  
Pathological Process ◽  
Tuberculosis Treatment ◽  
Long Term Results ◽  
Filling Material ◽  
Different Types ◽  
Positive Effect ◽  
Observation Period

Objective. To increase efficiency of cavitary pulmonary tuberculosis treatment by developing modern indications and technology of extrapleural pneumolysis with filling material.Material and methods. We reviewed 25 patients with cavitary pulmonary tuberculosis and bacterial excretion who had undergone extrapleural pneumolysis with different types of filling material in 2004–2015. In 16 cases, we performed surgery in patients with one lung.Results. 56% of operated patients demonstrated extensively drug-resistant TB, 40% had multidrug-resistant TB. Cavities were closed and bacterial excretion ceased in 92% of patients at discharge. Long-term results with observation period from 1 to 12 years were analyzed in 24 patients, 17 (71%) of them had complete clinical efficacy.Conclusion. Extrapleural pneumolysis is a mini-invasive surgical treatment that can prove positive effect in patients with non-fibrotic changes in a cavity wall and pathological process in upper parts of the lungs. 

Clinical Course of Different Types of Immune Reactions following Keratoplasty

2021 ◽  
Author(s):  
Philip Keye ◽  
Thabo Lapp ◽  
Daniel Böhringer ◽  
Sonja Heinzelmann ◽  
Philip Maier ◽  
...  
Keyword(s):  
Clinical Course ◽  
Corneal Graft ◽  
Long Term Outcomes ◽  
Immune Mediated ◽  
Corneal Graft Rejection ◽  
Different Types ◽  
Lost To Follow Up

Abstract Background Immune-mediated corneal graft rejection (IR) is a leading cause of corneal graft failure. The endothelium, stroma, epithelium, or a combination can be affected. Little is known about the long-term outcomes of different types of IR. Methods We reviewed the medical records of all keratoplasties that had been performed at our eye centre between 2003 and 2016 (n = 3934) for any kind of IR that occurred between the surgery and 2019. All patients with a definite diagnosis of IR and sufficient clinical data were included in the analysis. IRs were grouped according to the affected part of the graft (endothelial, stromal, epithelial, and mixed). We analysed the dynamics of recovery and the clinical outcomes. Results We identified a total of 319 patients with IR. Twenty-seven of those were lost to follow-up and were excluded from further analysis. Of the IRs, 89% affected the endothelium. Endothelial IR resulted more frequently in a considerable loss of endothelial cell density than other forms of IR. Stromal IR showed a lower relapse rate and a better visual recovery than other types of IR and resulted less often in a failure of the graft. Conclusions We herein report comprehensive data about the prognosis regarding functional recovery after different types of IR following keratoplasty. Our data underline that timely recognition and correct classification of IR are important because they determine the clinical course and prognosis.

The application of quercetin in liposomal form for optimization of metabolic therapy of coronary artery disease.

2021 ◽  
Vol 2021 (2) ◽  
pp. 118-123
Author(s):  
O.M. Korzh ◽  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Stable Angina ◽  
Exercise Tolerance ◽  
Clinical Course ◽  
Functional Class ◽  
Liposomal Form ◽  
Complex Therapy ◽  
Artery Disease

The study of the clinical efficacy and safety of the dietary supplement L-Quercet as part of the complex therapy of patients with coronary artery disease with stable angina of II functional class, taking into account their effect on the clinical course of the disease, exercise tolerance and functional state of the endothelium. It has been shown that the inclusion of L-Quercet in the complex therapy in patients with stable angina leads to an improvement in the clinical course of angina pectoris, allows to significantly increase exercise tolerance and the quality of life of patients. The use of L-Quercet improves the indicators of endothelial function according to the results of the cuff test, which is one of the main factors in the prevention of the development and progression of atherosclerosis and coronary artery disease, and also causes an increase in the effectiveness of antianginal pharmacotherapy

A Novel Approach for Analyzing Single Buffer Queueing Systems with State-Dependent Vacation and Correlated Input Process under Four Different Service Disciplines

2015 ◽  
Vol 6 (3) ◽  
pp. 19-59 ◽  
Author(s):  
Thomas Yew Sing Lee
Keyword(s):  
Performance Measures ◽  
Probability Generating Function ◽  
Performance Measure ◽  
Idle Time ◽  
Separate Analysis ◽  
Input Process ◽  
State Dependent ◽  
Special Cases ◽  
Service Disciplines ◽  
Different Types

The author presents performance analysis of a single buffer multiple-queue system. Four different types of service disciplines (i.e., non-preemptive, pre-emptive repeat different, state dependent random polling and globally gated) are analyzed. His model includes correlated input process and three different types of non-productive time (i.e., switchover, vacation and idle time). Special cases of the model includes server with mixed multiple and single vacations, stopping server with delayed vacation and stopping server with alternating vacation and idle time. For each of the four service disciplines the key performance measures such as average customer waiting time, loss probability, and throughput are computed. The results permit a detailed discussion of how these performance measures depends on the customer arrival rate, the customer service time, the switchover time, the vacation time, and the idle time. Moreover, extensive numerical results are presented and the four service disciplines are compared with respect to the performance measure. Previous studies of the single buffer multiple-queue systems tend to provide separate analysis for the two cases of zero and nonzero switchover time. The author is able to provide a unified analysis for the two cases. His results generalize and improve a number of known results on single buffer multiple-queue systems. Furthermore, this method does not require differentiation while it is needed if one uses the probability generating function approach. Lastly, the author's approach works for all single buffer multiple-queue systems in which the next queue to be served is determines solely on the basis of the occupancy states at the end of the cycle time.

scholarly journals Simultaneous Association of Pulmonary Tuberculosis and Kaposi’s Sarcoma in an Immunocompetent Subject: A Case Report and Literature Review

2019 ◽  
Vol 2019 ◽  
pp. 1-3
Author(s):  
Sofia Baina ◽  
Jihane Achrane ◽  
Jouda Benamor ◽  
Jamal Eddine Bourkadi
Keyword(s):  
Case Report ◽  
Literature Review ◽  
Pulmonary Tuberculosis ◽  
Kaposi's Sarcoma ◽  
Kaposi’S Sarcoma ◽  
Hiv Positive ◽  
Negative Patient ◽  
Different Types ◽  
Hiv Negative

Kaposi’s Sarcoma (KS) occurs as a pathological entity that may be classified into four different types: classic, endemic, epidemic, and iatrogenic. It can arise among HIV-positive subjects or within immunosuppression, yet exceptionally of tuberculous origin. We describe a new case report of an HIV-negative patient, manifesting Kaposi’s disease in the course of tuberculosis, with the aim to assess this uncommon disorder and to outline this rare atypical association.

Identification of New Markers Discriminating Between Myeloid and Lymphoid Acute Leukemia

Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 4891-4891
Author(s):  
Houda Haouas ◽  
Samira Haouas ◽  
Georges Uzan ◽  
Aicha Hafsia
Keyword(s):  
Myeloid Leukemia ◽  
Clinical Course ◽  
Guanine Nucleotide ◽  
Quantitative Real Time Pcr ◽  
Guanine Nucleotide Binding Protein ◽  
Response To Chemotherapy ◽  
Different Types ◽  
Guanine Nucleotide Binding ◽  
Acute Myeloid ◽  
Sensitive Method

Abstract The heterogeneity of acute myeloid leukemia (AML) with respect to biology and clinical course resides in the fact that patients belonging to the same group show marked differences in their response to chemotherapy, which would necessitate a refinement of AML classification. In order to contribute to define molecular markers for AML we realized microarray assays on two M5 AMLs and selected four differentially expressed genes to validate their expression by RQ-PCR. We have shown that two down-regulated genes in AML, Guanine nucleotide binding protein (G protein) gamma 11 (GNG11) and Amphiregulin are also down-regulated in B-ALL and T-ALL patients. We have found a gene, Ceruloplasmin, which is up-regulated in AML but not in B-ALL and T-ALL. The level of expression of these genes varies from one patient to another. Since the group of patients studied is limited, further studies must carry on with a larger series of patients to be able to make subdivision according to the expression of GNG11, Amphiregulin and Ceruloplasmin. Our study is the first to analyze these genes in AML, B-ALL, T-ALL and CL patients by quantitative real time PCR. This rapid and sensitive method could be used to screen these genes in different types of leukemia.

scholarly journals The Multiplex Dependency Structure of Financial Markets

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Nicolò Musmeci ◽  
Vincenzo Nicosia ◽  
Tomaso Aste ◽  
Tiziana Di Matteo ◽  
Vito Latora
Keyword(s):  
Financial Markets ◽  
Financial Time Series ◽  
Single Layer ◽  
Separate Analysis ◽  
Dependency Structure ◽  
Multiplex Networks ◽  
Multiplex Network ◽  
Different Types ◽  
Partial Correlations ◽  
Filtering Procedure

We propose here a multiplex network approach to investigate simultaneously different types of dependency in complex datasets. In particular, we consider multiplex networks made of four layers corresponding, respectively, to linear, nonlinear, tail, and partial correlations among a set of financial time series. We construct the sparse graph on each layer using a standard network filtering procedure, and we then analyse the structural properties of the obtained multiplex networks. The study of the time evolution of the multiplex constructed from financial data uncovers important changes in intrinsically multiplex properties of the network, and such changes are associated with periods of financial stress. We observe that some features are unique to the multiplex structure and would not be visible otherwise by the separate analysis of the single-layer networks corresponding to each dependency measure.

scholarly journals Familial left ventricular noncompaction: phenotypes and clinical course. Results of the multicenter registry

2021 ◽  
Vol 93 (4) ◽  
pp. 381-388
Author(s):  
Olga V. Kulikova ◽  
Roman P. Myasnikov ◽  
Elena A. Mershina ◽  
Polina S. Pilus ◽  
Sergei N. Koretskiy ◽  
...  
Keyword(s):  
Ventricular Remodeling ◽  
Clinical Course ◽  
Left Ventricular Remodeling ◽  
Clinical Manifestations ◽  
Cardiovascular Complications ◽  
Left Ventricular ◽  
Left Ventricular Noncompaction ◽  
Ventricular Noncompaction ◽  
Different Types ◽  
Multicenter Registry

Aim. To analyze and demonstrate various phenotypes in patients with familial left ventricular noncompaction (LVNC). Materials and methods. In 2013 was created a multicenter registry of LVNC patients. On its basis 30 families with a familial LVNC were selected. Results. 30 LVNC families were selected from the register. From a total of 115 people (probands and relatives) in 71 (61.7%) LVNC was diagnosed (30 probands and 41 relatives with non-compact myocardial criteria). The most common type of remodeling in patients was the dilated type (DT) (n=30), the isolated LVNC with preserved ejection fraction (EF) was slightly less common (n=23), and the hypertrophic type (GT) was detected in 8 patients. 4 patients were diagnosed with the isolated LVNC with a reduced EF. 3 patients were with a combination of non-compact myocardium with congenital heart disease and with a combination of DT and GT (DT+GT). During the analysis of cases a combination of different phenotypes in the same family was observed. The largest number of families was diagnosed with a combination of DT and the isolated LVNC with preserved EF. The development of cardiovascular complications was associated with DT. Conclusion. Family cases of LVNC had different types of myocardial remodeling and variants of clinical course. In one family a combination of different types of left ventricular remodeling is possible. DT is associated with the most severe clinical manifestations. The clinical picture of the isolated LVNC with preserved EF, is the most favorable, but in rare cases, serious clinical manifestations were observed.

scholarly journals THE EFFECT OF NETWORK TYPES ON HERD BEHAVIOR

2019 ◽  
Vol 4 (8) ◽  
pp. 161-169
Author(s):  
Quji Bichia
Keyword(s):  
Preferential Attachment ◽  
Small World ◽  
Group Behavior ◽  
Human Interaction ◽  
Separate Analysis ◽  
Central Figure ◽  
Two Component ◽  
Hub Networks ◽  
Different Types ◽  
Hub Network

This paper aims to compare spread of an opinion, norm, innovation or a belief in different types of networks. For this purpose, different network metrics are discussed and results of network model are summarized based on simulations. Norms may spread from a single source or multiple sources and these issues require separate analysis. Networks play an important role in decisions that people make. They determine what information someone will receive and how will he act within this limited information. As it turns out, small number of people can influence decisions of majority. These can be consumption decision, decisions about adopting new technologies, innovations, medical practice, social norms and so on. Mathematical models of net- works help us understand how these processes propagate. There are different types of networks that can emerge within a society or some group and there are characteristics that can describe roles of group members in spreading some idea or innovation. Networks can be of many kinds but human networks tend to have common characteristics. Therefore, current work focuses on 4 types of networks - small world, single-hub (one central figure), multi-hub (many central figures) and two-component. Small world random networks are observed in different situations and they can be used to describe some human interaction networks. Many networks are described by power law distributions, where new members of a net- work have a preferential attachment and link to other highly connected members. Single-hub and multi-hub networks describe such situations. Two-component network is used to describe polarized groups that have opposing views and are competing with each other. This could be political parties or competing firms. The present paper analyzes patterns of information flow across different types of networks and compares the conditions for the emergence of group behavior. Contribution of this work is the simulation results that show how different networks exhibit varying outcomes and propagate opinions differently. Simulations on small world, single-hub, multi-hub and two-component networks with 150 members show that net- work types matter in terms of how fast can group behavior spread within a network. The process of spreading group behavior is as follows: Every individual receives some signal si about a binary decision. Individuals make the first decision based on their signals because they have no other information. In the next step, every individual looks at the decisions of those in his or her neighborhood and updates his or her belief by the Bayes rule. On the next step they observe others’ actions again and decide whether to change own action or not and so on. After some stages, a stable point is reached where no one is willing to change his decision anymore. The study compares the times needed to reach stability in different types of networks. Simulations have shown that the speed of propagation of a belief varies according to who is the source of this process. However, the difference is not big within a small world network. As it turns out, full distribution occurs in at least 4 and a maximum of 20 periods, and the average time of full distribution varies from 6.5 to 8.6, depending on whether the most connected member is the source or the least connected one. The result is quite different if there is one central figure. The presence of one central figure prevents information from spreading across the network, as there is preferential attach- ment and some members can only acquire one connection. If there are several central figures, the full spread occurs relatively faster. In a two-component network, full adoption oc- curs quite rapidly. Although the connection between components is almost non-existent, a small number of existing links play a critical role in rapidly disseminating a behavior. Group behavior spreads more rapidly in a random net- work than in a network characteristic of a special society on average. But multi-hub network has the potential for the fast- est spread (although information disseminates faster in a ran- dom network on average). Group behavior is slow to spread in a single-hub network, as some individuals are very weakly connected to other areas of the network. An opinion spread in the neighbourhood of the central figure will soon reach all members of around him or her but it will take a long time to reach far ends of the network. The two-component network in this regard maintains a balance between the speed of dis- tribution and the area of distribution. There is least variation between adoption times in a two-component network (not considering the small-world random network). The high variation in single-hub and multi-hub networks indicates that it is advisable to consider more specific situations for accurate results. Comparison of adoption times within multi-hub net- works of different size shows that adoption happens at the same speed most of the time regardless of the network size. When two opposing opinions are being spread and one of the opinions is dominated by the other, it takes similar time periods for all sizes of multi-hub networks.

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