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一位物理治疗师对三级肿瘤中心老年诊所的看法。

A physiotherapists perspective of a geriatric clinic in a tertiary oncology centre.

作者信息

Chitre Ankita, Kapoor Akhil, Sansar Bipinesh, Gupta Anuj, Lakshmanamurthy Praveen, Dey Somnath, Vinayak Kunal, Sahoo Ajit, Kaur Navneet, Azeem Sumaiya, Kadu Dipti, Shrivastav Akash Anand

机构信息

Department of Physiotherapy, Mahamana Pandit Madan Mohan Malaviya Cancer Centre, Varanasi 221005, India.

Department of Medical Oncology, Mahamana Pandit Madan Mohan Malaviya Cancer Centre, Varanasi 221005, India.

出版信息

Ecancermedicalscience. 2024 Sep 20;18:1774. doi: 10.3332/ecancer.2024.1774. eCollection 2024.

DOI:10.3332/ecancer.2024.1774
PMID:39430086
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11489089/
Abstract

AIMS AND OBJECTIVES

To analyse various domains amongst the geriatric population such as age, gender, body mass index (BMI), comorbidities, type of cancer and use of assistive devices, and find a correlation between the outcome measures such as short physical performance battery (SPPB) and performance-oriented mobility assessment (POMA).

METHODOLOGY

Patients above 60 years were screened and further referred to the physiotherapy department. A brief history was recorded to retrieve the demographic data such as name, age, gender, height, weight, BMI, hand dominance, diagnosis, previous investigations are done, comorbidities if any present, use of assistive devices if required and in case any previous oncological treatment has been delivered. Various outcome measures were administered such as POMA, SPPB, 6 minutes walk test (6 MWT) and numerical rating for fatigue. The interpretations were noted on a case report sheet and the appropriate interventions for the deficits were delivered to the patient. Also, the patients were asked to carry on the necessary investigation (if required) and get back to the physiotherapy OPD. No follow-up is required by the patients as this was a retrospective single-endpoint study.

RESULTS AND ANALYSIS

The descriptive analysis was done by using R software (version 4.2.3). The main objective was to analyse the variables descriptively using numbers and percentages. The correlation between 2 outcome measures: SPPB and POMA was assessed using Spearman's rank correlation.All the 100 patients had solid tumour malignancies, commonly GI (37%), thoracic (18%), breast (17%), H and N (13%), uro-oncology (11%) and gynecology (4%). The median age was 70 years (range, 60-88). The median BMI was 22.10 (IQR, 19.40-24.77). Among 100 patients, comorbidities were found in most of the patients, most commonly hypertension (35%), diabetes mellitus (20%), heart disease (9%) and other diseases (8%). Out of 100 patients, 15% of them used assistive devices but the remaining 85% of patients did not require any assistive devices. Different outcome measures were also assessed for understanding the patients' risk in different categories. On assessing POMA, most of the patients had a medium risk of fall (49%), followed by high risk (31%) and low risk (14%). On assessing SPPB, most of the patients had low risk (41%), followed by medium risk (31%) and high risk (28%). The aerobic capacity of patients was assessed using 6 MWT (walking capacity) which showed that most of them had a severe reduction in aerobic capacity (37%) followed by moderation reduction (28%), good aerobic capacity (25%) and mild reduction (10%). The treatment required by the patients involved most commonly LL strengthening (71; 30.6%) and aerobic conditioning (67; 28.9%) and the least was brisk walking (4; 1.72%) and UL strengthening (2; 0.86%).

CONCLUSION

Commonly deranged domains included fatigue (97%), risk of fall (80%) reduced aerobic capacity (75%) and comorbidities (73%). The correlation between SPPB and POMA was assessed using Spearman's rank correlation method which obtained a correlation coefficient of 0.79 which implies that there is a strong positive association between SPPB and POMA.

摘要

目的

分析老年人群中的各个领域,如年龄、性别、体重指数(BMI)、合并症、癌症类型和辅助设备的使用情况,并找出诸如短身体性能电池测试(SPPB)和以性能为导向的移动性评估(POMA)等结果指标之间的相关性。

方法

对60岁以上的患者进行筛查,并进一步转诊至理疗科。记录简要病史以获取人口统计学数据,如姓名、年龄、性别、身高、体重、BMI、利手、诊断、之前进行的检查、是否存在合并症、是否需要使用辅助设备以及是否曾接受过肿瘤治疗。实施了各种结果指标的评估,如POMA、SPPB、6分钟步行测试(6MWT)和疲劳数字评分。在病例报告表上记录解释,并针对缺陷为患者提供适当的干预措施。此外,要求患者进行必要的检查(如有需要)并返回理疗门诊。由于这是一项回顾性单终点研究,患者无需进行随访。

结果与分析

使用R软件(版本4.2.3)进行描述性分析。主要目的是使用数字和百分比对变量进行描述性分析。使用Spearman等级相关性评估两个结果指标SPPB和POMA之间的相关性。所有100名患者均患有实体瘤恶性肿瘤,常见的有胃肠道肿瘤(37%)、胸部肿瘤(18%)、乳腺癌(17%)、头颈肿瘤(13%)、泌尿肿瘤(11%)和妇科肿瘤(4%)。中位年龄为70岁(范围60 - 88岁)。中位BMI为22.10(四分位间距,19.40 - 24.77)。在100名患者中,大多数患者存在合并症,最常见的是高血压(35%)、糖尿病(20%)、心脏病(9%)和其他疾病(8%)。在100名患者中,15%的患者使用辅助设备,但其余85%的患者不需要任何辅助设备。还评估了不同的结果指标以了解患者在不同类别中的风险。在评估POMA时,大多数患者有中度跌倒风险(49%),其次是高风险(31%)和低风险(14%)。在评估SPPB时,大多数患者有低风险(41%),其次是中度风险(31%)和高风险(28%)。使用6MWT(步行能力)评估患者的有氧运动能力,结果显示大多数患者有氧运动能力严重下降(37%),其次是中度下降(28%)、良好的有氧运动能力(25%)和轻度下降(10%)。患者所需的治疗最常见的是下肢强化训练(71例;30.6%)和有氧训练(67例;28.9%),最少的是快走(4例;1.72%)和上肢强化训练(2例;0.86%)。

结论

常见的紊乱领域包括疲劳(97%)、跌倒风险(80%)、有氧运动能力下降(75%)和合并症(73%)。使用Spearman等级相关性方法评估SPPB和POMA之间的相关性,得到的相关系数为0.79,这意味着SPPB和POMA之间存在强正相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d5d/11489089/dc279bca5337/can-18-1774fig7.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d5d/11489089/46543f7856e0/can-18-1774fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d5d/11489089/3a9b6406db4e/can-18-1774fig2.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d5d/11489089/dc279bca5337/can-18-1774fig7.jpg

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