scholarly journals Common and Uncommon Imaging Appearances of COVID-19 Pneumonia in Young and Middle-Aged Group and Elderly Group

Author(s):  
Alireza Mahmoudabadi ◽  
Hamed Masoumi ◽  
Mohammad Keshtkar ◽  
Arash Azhideh ◽  
Hamidreza Haghighatkhah

Purpose: In this study, we retrospectively evaluated chest Computed Tomography (CT) imaging manifestations of the patients with Coronavirus Disease 2019 (COVID-19) to simplify prompt early diagnosis of disease and speed up needed actions for infected patients. Materials and Methods: Totally, 75 patients who laboratory confirmed COVID-19 pneumonia were enrolled in this study. CT images, demographic and some clinical data of all patients were collected and analyzed retrospectively. Furthermore, for comparison, the patients were divided into two groups as follows: the young and middle-aged group (< 60 years old) and the elderly group (≥ 60 years old). Results: Based on the evaluation of CT images, 33 patients (44%) showed Ground-Glass Opacity (GGO), 15 patients (20%) showed consolidation, 24 patients (32%) showed mixed GGO and consolidation, 2 patients (2.6%) had bronchial wall thickening, 10 patients (13.3%) had a crazy paving sign, 35 patients (46.6%) had air bronchogram and, 7 patients (9.3%) had cavitation and 2 patients (2.6%) had a tree in the bud. CT images of 3 patients (4%) were normal. In terms of out of lung changes, lymphadenopathy was observed in one patient (1.3%), pleural effusion in 12 patients (16%), and pericardial effusion in 2 patients (2.6%). Lesions were found predominantly in the peripheral (57.3%) and the lower lung region (60%). Conclusion: CT images of the COVID-19 patients showed various aspects, mainly GGO, consolidation, mixed GGO and consolidation, and air bronchogram. Lesion distribution was predominantly in lower lung region, bilateral and peripheral. Pleural effusion and multiple lobe involvement were significantly higher in the elderly group than that of the young and middle-aged group.

2020 ◽  
Vol 33 (6) ◽  
pp. 581-581
Author(s):  
Cai-ni Fan ◽  
Hai-ying Zhao ◽  
Dan-dan Tian ◽  
Hao Wang

Abstract Background To study the correlation between blood pressure variability (BPV) and plasma renin activity (PRA), angiotensin II (AngII), aldosterone levels in patients with essential hypertension. Methods A total of 300 patients with mild to moderate essential hypertension were analyzed retrospectively. The subjects were divided into 3 age groups: 100 patients aged 18–44 years (young group), 110 patients aged 45–64 years (middle-aged group), and 90 patients aged over 65 years (elderly group). PRA, AngII, and aldosterone levels were assessed. Blood pressure (BP) was measured by 24-hour ambulatory BP monitoring. The relationships between BP variability and the PRA, AngII, aldosterone levels were compared among the 3 groups. Results Supine and upright PRA and aldosterone levels were significantly higher in the young group than those in the middle-aged and elderly groups. The coefficient of variation (CV) of 24-hour systolic (24hSBPCV), diastolic BP (24hDBPCV), CV of daytime systolic (dSBPCV), diastolic (dDBPCV), and nighttime systolic BP (nSBPCV) in the elderly group was higher than those in the young group and the middle-aged group (all P &lt; 0.05). Spearman correlation analysis showed that in the young and middle-aged groups, BPV was significantly correlated with the levels of PRA, AngII, and aldosterone (all P &lt; 0.05). In the elderly group however, only 24hDBPCV, nDBPCV, and nSBPCV were correlated with AngII and aldosterone levels (all P &lt; 0.05). Conclusions BPV is correlated with plasma renin–angiotensin–aldosterone levels in young and middle-aged patients with mild to moderate essential hypertension.


2013 ◽  
Vol 7 (1) ◽  
pp. 38-41 ◽  
Author(s):  
Demet Uçar ◽  
Demirhan Dıraçoğlu ◽  
Türker Süleyman ◽  
Nalan Çapan

Introduction: Osteoarthritis is the most common age-related degenerative joint disease. It affects all the joints containing hyaline cartilage. Knee osteoarthritis is the most cumbersome in terms of prevalence and disability. The aim of this study to evaluate the efficacy of intra-articular hyaluronic acid in patients with knee osteoarthritis with regard to joint pain and function, as well as patient satisfaction, assessed at one month and at one year, and by age group. Methods: In this prospective randomised study, 172 patients who were diagnosed knee OA and who received three consecutive intra-articular injections of HA weekly were included. Patients 65 years of age or older were accepted as the “elderly group”, and those under 65 were accepted as the “middle-aged group”. Clinical evaluations of efficacy and safety were conducted at the beginning of the study, one month after the third injection, and one year after the third injection. Results: In the two groups, the intragroup analysis revealed significant improvements following injection when compared with preinjection values. According to the last followup controls (after 12 months) in the middle-aged group, VAS activity pain, VAS rest pain, WOMAC physical function, and WOMAC pain values were found to be statistically lower when compared with pre-injection values. In the elderly group, no statistically significant differences were found between pre-injection and after 12 months. Conclusion: We can conclude that intra-articular joint HA injections are effective in both young and old patients with OA with regard to pain and functional status over a short-term period. Further, HA injections in patients younger than 65 years can be planned for a one-year period.


Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Shin Yi Jang ◽  
Yun-Hee Kim ◽  
Min Kyun Sohn ◽  
Jongmin Lee ◽  
Deog Young Kim ◽  
...  

Introduction: Few studies investigated the diabetes mellitus (DM) as a predictable factor of 6 months K-Modified Barthel Index (KMBI) outcome after stroke. Aims: The aim of this study is to investigate whether DM predicts the outcome of KMBI at 6-month after stroke with adjustment for cardiovascular disease risk factors, socioeconomic position and health behavior factors. Methods: This is an interim report of the Korean Stroke Cohort for Functioning and Rehabilitation (KosCo). The sample included 1,199 stroke patients aged 45-92 years. FIM score was assessed at 6 months after onset. We divided subjects into two age groups: the middle aged (45-64 year-old) and the elderly (over 65 year-old). Subjects who met one of the following requirements were defined as having DM: taking an oral hyperglycemic agent, using insulin, clinical diagnosis of diabetes, or a fasting glucose level >125 mg/dL. Results: The mean age of the middle aged group was 55.8(±5.44) year-old and the elderly group was 74.3(±6.14)(p<0.001). The distribution of DM was 20.8% and 28.9%, respectively (p<0.001). The mean 6-Month KMBI was 91.7 (±20.7) and 78.4 (±33.1), respectively (p<0.001). The 6-Month KMBI significantly decreased in DM group compared to the non DM group after adjustment for confounding factors. In the middle aged group, the 6-Month KMBI decreased in DM group (p<0.01), but in the elderly group. Conclusions: This hospital-based cohort study showed that DM may predict poor 6-Month KMBI outcome, especially, for the middle aged group (Supported by Korea Centers for Disease Control and Prevention (2013E3301701)).


2007 ◽  
Vol 16 (04) ◽  
pp. 583-592 ◽  
Author(s):  
HYOUNGSEOP KIM ◽  
MASAKI MAEKADO ◽  
JOO KOOI TAN ◽  
SEIJI ISHIKAWA ◽  
MASAAKI TSUKUDA

Medical imaging systems such as computed tomography, magnetic resonance imaging provided a high resolution image for powerful diagnostic tool in visual inspection fields by physician. Especially MDCT image can be used to obtain detailed images of the pulmonary anatomy, including pulmonary diseases such as the pulmonary nodules, the pulmonary vein, etc. In the medical image processing technique, segmentation is a difficult task because surrounding soft tissues and organs have similar CT values and sometimes contact with each other. We propose a new technique for automatic segmentation of lung regions and its classification for ground-glass opacity from the extracted lung regions by computer based on a set of the thorax CT images. In this paper, we segment the lung region for extraction of the region of interest employing binarization and labeling process from the inputted each slices images. The region having the largest area is regarded as the tentative lung regions. Furthermore, the ground-glass opacity is classified by correlation distribution on the slice to slice from the extracted lung region with respect to the thorax CT images. Experiment is performed employing twenty six thorax CT image sets and 96% of recognition rates were achieved. Obtained results are shown along with a discussion.


2008 ◽  
Vol 159 (4) ◽  
pp. 375-379 ◽  
Author(s):  
Keiji Tanimoto ◽  
Naomi Hizuka ◽  
Izumi Fukuda ◽  
Kazue Takano ◽  
Toshiaki Hanafusa

ObjectiveThe purpose of this study was to investigate the influence of age on GH and IGF1 axis, and complications in patients with acromegaly.Subjects and methodsFrom the medical records, we retrospectively analyzed clinical features and complications in 87 newly diagnosed patients with active acromegaly (34 males, 53 females; aged 18–82 years) who were admitted to Tokyo Women's Medical University between 1999 and 2006. We divided the patients into three groups according to age: ≤30 years old (young group), 31–60 years old (middle-aged group), and ≥61 years old (elderly group).ResultsThe median GH levels in young, middle-aged, and elderly groups were 18.5, 8.8, and 6.7 μg/l respectively, and the IGF1 levels were 810, 717, and 740 μg/l respectively. The values were not significantly different among the groups. However, the serum IGF1 SDS were significantly higher in the elderly group (10.2) than those in young and middle-aged groups (6.6 and 6.2 respectively, P<0.001). The age difference in the higher IGF1 SDS was remarkable in female patients. In the elderly group, glucose intolerance and hypertension were found in 94 and 53% of the patients respectively and the incidences were higher than those in the other groups.ConclusionThis study suggests that the relatively high IGF1 secretions in elderly patients might be involved in the progression of clinical complications in acromegalic patients. Therefore, awareness of the early symptoms and examination of serum GH and IGF1 are important for patients with acromegaly.


2020 ◽  
Author(s):  
Mahbubunnabi Tamal

ABSTRACTBackgroundThe lung CT images of COVID-19 patients can be characterized by three different regions – Ground Glass Opacity (GGO), consolidation and pleural effusion. GCOs have been shown to precede consolidations. Quantitative characterization of these regions using radiomics can facilitate accurate diagnosis, disease progression and response to treatment. However, according to the knowledge of the author, regional CT radiomics analysis of COVID-19 patients has not been carried out. This study aims to address these by determining the radiomics features that can characterize each of the regions separately and can distinguish the regions from each other.Methods44 radiomics features were generated with four quantization levels for 23 CT slice of 17 patients. Two approaches were the implemented to determine the features that can differentiate between lung regions – 1) Z-score and correlation heatmaps and 2) one way ANOVA for finding statistically significantly difference (p<0.05) between the regions. Radiomics features that show agreement for all cases (Z-score, correlation and statistical significant test) were selected as suitable features. The features were then tested on 52 CT images.Results10 radiomics features were found to be the most suitable among 44 features. When applied on the test images, they can differentiate between GCO, consolidation and pleural effusion successfully and the difference provided by these 10 features between three lung regions are statistically significant.ConclusionThe ten robust radiomics features can be useful in extracting quantitative data from CT lung images to characterize the disease in the patient, which in turn can help in more accurate diagnosis, staging the severity of the disease and allow the clinician to plan for more successful personalized treatment for COVID-19 patients. They can also be used for monitoring the progression of COVID-19 and response to therapy for clinical trials.


2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Shujie Xia ◽  
Jing Cai ◽  
Jianxin Chen ◽  
Xuejuan Lin ◽  
Shujiao Chen ◽  
...  

Background. Traditional Chinese medicine (TCM) has the characteristics of multitarget and overall regulation, which has certain advantages in preventing and treating of metabolic syndrome (MS). The aim of the present study was to evaluate the similarities and differences of TCM syndrome distribution in different age groups to promote the optimization of treatment strategies. Methods. This study was based on a real-world survey conducted in 3 hospitals in China. There are 1262 collected cases of MS meeting the inclusion criteria, which were divided into the young group, middle-aged group, and elderly group. Factor analysis (FA) was conducted for syndrome element extraction, and K-means cluster analysis was processed for syndrome type classification. Frequency analysis and Chi-square test were used to compare the syndrome characteristics of each group. Results. Common factors extracted were assigned to 18 syndrome elements including 11 nature syndrome elements and 7 location syndrome elements. Phlegm and dampness are the most frequent syndrome elements in general. Compared with the middle-aged group and elderly group, the young group has more obvious nature syndrome elements in heat and Qi deficiency, and location syndrome elements in the stomach. As for the middle-aged group, the frequency of location syndrome in kidney syndrome was higher than that in other groups. When it comes to the elderly group, it is shown that the symptoms of Yin deficiency and blood deficiency increase with age and the old patients may have more location syndrome elements in the lung and gallbladder. Conclusion. The TCM syndrome of MS is complex in that there may be the characteristics of deficiency and excess syndrome simultaneously. The main pathological factors of MS were phlegm and dampness. Besides, MS patients at different age periods may have their own syndrome distribution features. So, it is reasonable to adhere to the method of resolving phlegm and removing dampness and, at the same time, adopt the ways of clearing heat, promoting Qi, nourishing Yin, supplementing blood as well as regulating the liver, promoting the lung, transporting the spleen, nourishing the heart, and nourishing the kidney based on the syndrome feature of MS in different age stages.


Because of the drastic changes in China’s birth policies, it is anticipated that the middle-aged and the elderly would view the policy of ‘one household, two children’ differently. As such, this study seeks to identify such a difference between the middle-aged and the elderly. There were 320 sets of data for the elderly generation and 305 for the middle-aged generation used for the final analysis. The study shows that, unlike the elderly generation, the middle-aged group has a negative perception towards the ‘one household, two children’ policy. Second, for the elderly generation of China, there was a significant difference in their perception towards the ‘one household, two children’ policy and ‘preferred gender of children’ depending on what the gender of the respondent’s child was. The elderly with only daughters had a rather negative perception towards the policy, and their preferred gender for children was also ‘sons’. Third, middle aged people with daughters had a more positive perception towards the policy


MANUSYA ◽  
2011 ◽  
Vol 14 (2) ◽  
pp. 53-87
Author(s):  
Phinnarat Akharawatthanakun

This paper presents the variation in the two short high vowels /i/ and /u/ occurring in live syllables ending with final nasal consonants (CVN) in two Southwestern Tai (SWT) dialects: Lue and Khün, respectively spoken in the villages of Nong Bua and Nong Muang in Pa Kha Subdistrict, Tha Wang Pha District, in Nan Province. The data were collected from Lue and Khün language resource persons (LRPs) in three age groups, an elderly group (60 years old and above), a middle-aged group (35–50 years old), and a young group (15–25 years old), with five LRPs in each age group. The data analyzed for this paper come from a total of 30 LRPs (5 LRPs × 3 age groups × 2 SWT dialects).


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