Shoulder pain is a common complaint in primary care settings. The prevalence of shoulder pain is on the rise, especially in societies with aging populations. Like other joint-related conditions, shoulder pain is predominantly caused by degenerative diseases. These degenerative changes typically affect bones, tendons, and cartilage, with common conditions including degenerative rotator cuff tears, impingement syndrome, and osteoarthritis. Diagnosing these degenerative diseases in older adults requires a thorough understanding of basic anatomy, general physical examination techniques, and specific diagnostic tests. This review aims to outline the fundamental physical examination methods for diagnosing shoulder pain in older adult patients in primary care. The shoulder's complex anatomy and its broad range of motion underscore the need for a systematic approach to evaluation. Routine inspection and palpation can identify signs such as muscle atrophy, bony protrusions, or indications of degenerative changes. Assessing range of motion, and distinguishing between active and passive deficits, is crucial for differentiating conditions like frozen shoulder from rotator cuff tears. Targeted strength tests, such as the empty can, external rotation lag, liftoff, and belly press tests, are instrumental in isolating specific rotator cuff muscles. Additionally, impingement tests, including Neer’s and Hawkins’ signs, are useful for detecting subacromial impingement. A comprehensive understanding of shoulder anatomy and a systematic physical examination are vital for accurately diagnosing shoulder pain in older adults. When properly executed and interpreted in the clinical context, these maneuvers help differentiate between various conditions, ranging from degenerative changes to rotator cuff pathology.
Shoulder diseases pose a significant health challenge for older adults, often causing pain, functional decline, and decreased independence. This narrative review explores how deep learning (DL) can address diagnostic challenges by automating tasks such as image segmentation, disease detection, and motion analysis. Recent research highlights the effectiveness of DL-based convolutional neural networks and machine learning frameworks in diagnosing various shoulder pathologies. Automated image analysis facilitates the accurate assessment of rotator cuff tear size, muscle degeneration, and fatty infiltration in MRI or CT scans, frequently matching or surpassing the accuracy of human experts. Convolutional neural network-based systems are also adept at classifying fractures and joint conditions, enabling the rapid identification of common causes of shoulder pain from plain radiographs. Furthermore, advanced techniques like pose estimation provide precise measurements of the shoulder joint's range of motion and support personalized rehabilitation plans. These automated approaches have also been successful in quantifying local osteoporosis, utilizing machine learning-derived indices to classify bone density status. DL has demonstrated significant potential to improve diagnostic accuracy, efficiency, and consistency in the management of shoulder diseases in older patients. Machine learning-based assessments of imaging data and motion parameters can help clinicians optimize treatment plans and improve patient outcomes. However, to ensure their generalizability, reproducibility, and effective integration into routine clinical workflows, large-scale, prospective validation studies are necessary. As data availability and computational resources increase, the ongoing development of DL-driven applications is expected to further advance and personalize musculoskeletal care, benefiting both healthcare providers and the aging population.
The purpose of this review is to provide a comprehensive guide for managing older adult patients with shoulder diseases, specifically rotator cuff tears and osteoarthritis, and to explore effective nonsurgical treatment options. Chronic rotator cuff tears are typically degenerative, whereas acute tears result from trauma. A key feature of these tears is tendon degeneration accompanied by type III collagen predominance, predisposing tears to progression. Osteoarthritis in the glenohumeral joint arises from wear-and-tear changes that compromise cartilage integrity, leading to pain and restricted motion. Accurate clinical assessment and imaging, including plain radiographs, ultrasonography, and MRI, facilitate diagnosis and guide treatment. The physic-al examination emphasizes range of motion, rotator cuff strength, and scapular stability. Management strategies prioritize pain relief, function preservation, and improving mobility. Nonsurgical modalities, including exercise, manual therapy, and activity modification, constitute first-line treatments, especially for older adults. Pharmacological approaches involve NSAIDs, corticosteroid injections, and neuropathic pain medications. Steroid injections have short-term benefits, but repeated treatments may compromise tissue integrity. Platelet-rich plasma is a regenerative option that may improve tendon healing, but mixed findings highlight the need for further investigation. A structured physical therapy program focusing on range of motion and strengthening is essential, with alternative interventions used judiciously. Patients should be counseled regarding the potential progression of tears and the possible need for future surgical intervention if nonsurgical methods are unsuccessful. Multimodal approaches, including joint mobilization and personalized exercise regimens, hold potential for optimizing functional outcomes and supporting independence in older adults.
Influenza presents a considerable disease burden, particularly among adults over 65 years old. In this population, the disease is associated with high rates of infection, hospitalization, and mortality. The objective of this study was to assess the impact of influenza on older adults and to evaluate the effectiveness of influenza vaccines within this demographic. A literature search was conducted using PubMed to identify relevant English-language studies published from January 2000 to January 2024. The analysis indicated that influenza-related hospitalization rates (ranging from 10.1 to 308.3 per 100,000 persons) and all-cause excess mortality rates (1.1 to 228.2 per 100,000 persons) were notably high in older adults, although these rates varied over time and by location. Hospitalization rates due to influenza increased considerably after the age of 50 years, with the highest rates observed in individuals aged 85 years and older. Excess mortality attributable to influenza also rose with age, with rates between 17.9 and 223.5 per 100,000 persons in those over 75 years old. The effectiveness of influenza vaccines in preventing severe infections requiring hospitalization was found to be only 37% in individuals aged 65 years and older. The unadjuvanted, standard-dose influenza vaccine had an estimated effectiveness of just 25% against laboratory-confirmed influenza and between 37% and 43.7% in preventing hospitalizations. Therefore, considering the substantial burden of influenza and the limited efficacy of standard vaccines, the use of highly immunogenic influenza vaccines should be prioritized for older adults.
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, Yongil Kim A bezoar, a mixture of various undigested foreign substances in the gastrointestinal tract, causes intestinal obstruction at times. We report a case of non-surgical treatment in old age patient. An 89-year-old female presented with epigastric pain, general weakness, and intermittent melena for 1 month. There were episodic attacks of vomiting. An abdominal computed tomography scan showed a 5×4 cm, firm, atypically shaped mass at the stomach body and duodenal bulb with interspersed gas. Endoscopy showed a mass of fiber impacting the antrum pylorus, and the endoscopist failed to remove the bezoar at the first attempt. We subscribed olive oil for few days to make the bezoar small, and eventually, it was fragmented and removed without surgery. A phytobezoar is not uncommon disease required surgical removal if obstructive system developed. Ingestion of olive oil would be a helpful substitute for immediate operation in case of phytobezoar.
, Joo Kyoung Cha, Hyun Jung Lee, Seok Lae Chae, Hee Jin Huh, Jae-Woo Chung, Do Yeun Kim To assess the current state of anemia evaluation in the elderly over 80 years of age.
Patients who were more than 80 years old and visited Dongguk University Ilsan Hospital from April 2005 to February 2014 were included. Statistical analysis were assessed using the logistic regression model.
Total 548 patients, who had anemia according to WHO criteria, were identified. The median age was 85 years old (range, 82 to 99 years) and median hemoglobin level was 11.0 g/dL (range, 2.7 to 12.9 g/dL). Twenty-eight, 468, and 52 patients were classified as microcytic anemia, normocytic anemia, and macrocytic anemia, respectively. Among them, 397 patients (72.4%) did not undergo proper evaluation for the cause anemia i.e., 8 cases (28.5%) of microcytic anemia, 361 cases (77.1%) of normocytic anemia, and the 28 cases (53.84%) of 52 macrocytic anemia patients. The remaining 151 patients (27.6%) had completed the evaluation, and 24 patients (15.9%) were diagnosed as solid malignancies. In the assessment of iron deficiency anemia, hemoglobin levels, and age had no effect on whether or not to perform esophagogastroduodenoscopy.
This finding showed that physicians often neglected anemia in individuals over 80 years of age. Though these patients have limited life expectancy, physicians should carefully discriminate the sub-population who will be benefit from adequate evaluation and treatment.
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