亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Age‐Related Decline in Lymphocyte Counts: Establishing Age‐Specific Reference Intervals for Clinical Practice

临床实习 医学 淋巴细胞 淋巴细胞亚群 区间(图论) 重症监护医学 内科学 区间数据 免疫学 梅德林 参考值 T淋巴细胞 临床判断 置信区间 儿科
作者
Shaimaa Elmahdi,Ali Hasanpour Dehkordi,Abier Elzein
出处
期刊:American Journal of Hematology [Wiley]
卷期号:101 (1): 178-181
标识
DOI:10.1002/ajh.70114
摘要

Applying a fixed lymphocyte count reference interval to all adults, potentially misclassifying healthy elderly individuals as lymphopenic and contributing to unnecessary investigations and anxiety. The absolute lymphocyte count (ALC) is a critical marker of immune competency and is routinely used to assess both acute and chronic immunological disorders [1]. Despite well-recognized biological aging processes, most UK laboratories employ fixed ALC reference intervals (generally 1.0–4.0 × 109/L) for all persons over 12 years. These fixed thresholds neglect the well-established phenomenon of immunosenescence, wherein ALC progressively declines with age due to thymic involution and changes in lymphoid cell output and subsets [2, 3]. For example, in East Sussex, UK, a fixed lower limit of 1.5 × 109/L is applied across all adults. However, this practice risks misclassifying a substantial proportion of otherwise healthy elderly individuals as lymphopenic, which can trigger unnecessary investigations, specialist referrals, patient anxiety, and increased strain on healthcare resources. To address this knowledge gap, we retrospectively analyzed 45 780 full blood counts (FBCs) from individuals aged 0 to 102 years in East Sussex between October and December 2024, focusing on 44 339 adults aged 18 years and above. Only results within the standard laboratory reference range were included, using this as a surrogate for general health. Our cohorts were stratified into eight age groups (≤ 17, 18–29, 30–39, 40–49, 50–59, 60–69, 70–79, and ≥ 80 years, Figure S1), and we acknowledge the distinction between pediatric and adult intervals, referencing established UK pediatric reference intervals [4]. Our analysis adheres to Clinical and Laboratory Standards Institute (CLSI) and International Federation of Clinical Chemistry (IFCC) guidelines for deriving age-specific reference intervals using non-parametric methods modeling for right-skewed ALC distributions (Figure S2) [5]. The central 95% reference interval was defined by the 2.5th and 97.5th percentiles of the distribution in each age group. Linear and polynomial regression models were used as illustrative to describe the overall trend. Sex differences were assessed using regression models. False-positive lymphopenia rates were compared between fixed and age-specific cutoffs. All analyses were IRB-approved (Eastbourne District General Hospital, Approval Number: 1784) and performed using IBM SPSS Statistics (v28, MacOS). We demonstrate a robust age-associated decline in ALC: the mean value across the population was 1.95 ± 0.72 × 109/L (median 1.88 × 109/L, IQR 1.47–2.36 × 109/L, Figure 1). ALC displayed a significant negative correlation with age (Pearson r = −0.242, p < 0.001; Spearman rho = −0.24, p < 0.001, Table S1), with the largest declines observed when comparing the youngest and oldest populations (mean difference: −0.80 × 109/L, p < 0.001, Figure S3a,b). Linear regression shows each year of age predicts a decline of 0.009 × 109/L, corresponding to about 0.09 × 109/L per decade, or a roughly 4%–5% decrease per decade. The regression-based estimation formula: Predicted ALC = 2.470–(0.009 × Age); allows clinicians to evaluate expected ALC by age. Females had slightly higher ALC than males (β≈0.05, p < 0.001). However, the effect size was minimal. The age-by-sex interaction term was not significant, confirming that both sexes exhibit similar rates of ALC decline with age (Figure S4). Table 1 provides the age-stratified reference intervals derived from our cohort. For example, the lower 2.5th percentile for the 18–29 age group is 1.01 × 109/L, compared to only 0.59 × 109/L in those 80 years and older. Thus, ALC results flagged as “low” in younger adults may be entirely normal for those in later life. Crucially, we found that applying a fixed lower ALC cutoff (e.g., 1.5 × 109/L) markedly overestimates lymphopenia in older age groups: 9.2% of individuals aged 18–29 years versus 32.2% of those aged ≥ 80 years. In contrast, implementing age-specific 2.5th percentile cutoffs reduced the rate of false-positive lymphopenia, for example from 32.2% to 27.2% in individuals aged ≥ 80 years; a 5% absolute risk reduction. In some middle-aged groups, relative risk reduction of false positives reached 60%. These observations emphasize that lymphopenia defined by fixed adult reference intervals is not an accurate indicator of pathology in older adults but rather often reflects benign, physiological immunosenescence. The data support replacing uniform adult reference intervals with robust, age-specific ALC reference intervals that more accurately reflect normal hematologic aging. This approach will enhance diagnostic precision, reduce unnecessary referrals and investigations, and alleviate patient anxiety brought on by misinterpretation of lab results. While the 2.5th percentile has been used here as a statistical cutoff to define potentially low ALC within each age group, it remains a proposed threshold rather than a validated diagnostic criterion. This demarcation is based on the distributional properties of ALC in our cohort and aligns with established practices for defining reference intervals (Table S2). However, further prospective clinical studies are necessary to confirm the appropriateness of this cutoff for diagnosing pathological lymphopenia. Until such validation is available, clinicians are advised to interpret ALC below this threshold with clinical correlation and adjunctive investigations as appropriate. Our findings are reinforced by international data; other large epidemiologic studies also report that lower ALC is typical in older adults, supporting efforts to revise clinical practice guidelines and laboratory information systems accordingly [6-8]. Fixed-threshold approaches would label about one-third of the very elderly individuals as lymphopenic, highlighting the risk of overdiagnosis and its consequences in geriatric populations. It is important to note, however, that even “normal-for-age” low ALC among the elderly may have clinical implications, as scoping reviews link lower ALC in older adults with frailty and increased risk of adverse outcomes, including infection [8]. This highlights the dual role of ALC: first, as age-referenced laboratory markers to avoid overdiagnosis of lymphopenia, and second, as potential prognostic indicators of health risk within the older population. Both aspects should guide clinical interpretation. Additional studies are required to investigate whether and how these thresholds should inform clinical assessment and preventative strategies in geriatrics, such as infection risk, vaccine response, and their integration into frailty or nutritional scores (e.g., HALP score) [8]. This study's strengths include its large, unselected UK sample, rigorous application of CLSI/IFCC methodology, comprehensive age stratification, and robust non-parametric statistics, making the results broadly generalizable. Key limitations are its single-center, retrospective design, exclusion of detailed lymphocyte subset analysis (e.g., CD4+/CD8+, B cells, NK cells), and reliance on single point-in-time FBCs as a proxy for health. While this provides a clinically realistic population, prospective linkage with clinical outcomes would further strengthen the evidence base. Furthermore, inter-individual differences in ALC due to biological (sex, ethnicity, and health status) and environmental (smoking, stress, and infection) factors, although typically modest, should be considered for borderline results [9, 10]. To maximize the clinical impact of these findings, we are currently partnering with other NHS Trusts and academic institutions to validate the proposed intervals across more diverse populations and assess their effect on clinical decision-making, healthcare resource use, and patient outcomes. The integration of age-specific ALC cutoffs into laboratory reporting systems and clinical practice guidelines will advance evidence-based patient care. Automated age-adjusted reference intervals should be incorporated within laboratory information systems to deliver more accurate and personalized results to clinicians. Increasingly, patients are gaining direct access to their own laboratory data through secure online portals, empowering them to be more engaged in their health management. Providing patients with age-adjusted reference ranges helps ensure they receive clear, relevant information tailored to their individual profiles, thereby supporting shared decision-making between patients and healthcare providers. In conclusion, these data demonstrate that a fixed adult lower limit for ALC is outdated and results in frequent misclassification of lymphopenia in the elderly. We demonstrated that employing age-tailored reference limits for ALC could substantially cut down false positive abnormal results in clinical practice, especially among older adults. Clinical laboratories, national bodies, and guideline committees should urgently update recommendations to incorporate age-specific ALC reference values. This change will enhance diagnostic accuracy, reduce unnecessary patient anxiety and healthcare utilization, and align laboratory practices with current evidence on the immunology of aging. This would parallel the precision seen in pediatric ranges and ultimately lead to more accurate interpretation of laboratory tests throughout a patient's life. We thank the Department of Hematology and the laboratory staff at Eastbourne District General Hospital for their support. The authors declare no conflicts of interest. Data are available from the corresponding author on reasonable request. Figure S1: Age Group Frequency Bar Chart. Figure S2: Q-Q Plot of Lymphocyte Counts (×109/L) illustrates the data distribution. Figure S3a: Q-Q Plot of Lymphocyte Counts (×109/L) for Age Group ≤ 17 Years vs. ≥ 80 Years. Figure S3b: Histogram of Lymphocyte Counts (×109/L) for Age Group ≤ 17 Years vs ≥ 80 Years. Figure S4: Boxplots lymphocyte counts (×109/L) grouped by gender. The central line in each box represents the median lymphocyte count, while the lower and upper edges of the box denote the 25th (Q1) and 75th (Q3) percentiles, respectively. The whiskers extend to 1.5 times the interquartile range (IQR) from the quartiles. Points displayed as circles and stars outside the whiskers are outliers, which represent individual lymphocyte counts significantly higher or lower than the typical range for that gender group. Table S1: Descriptive Statistics for Lymphocyte Counts (×109/L) Across Age Groups. Table S2: Proposed age-specific reference intervals and Suspected Potentially Concerning Thresholds for Lymphocyte Counts (×109/L). Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
zzx完成签到,获得积分10
3秒前
无语的新之完成签到,获得积分10
5秒前
moos完成签到 ,获得积分10
15秒前
碧蓝的冰蝶完成签到,获得积分10
18秒前
30秒前
无辜的凝安完成签到,获得积分10
39秒前
如意的小凡完成签到,获得积分10
39秒前
Criminology34的应助被科研通管家采纳,获得10
58秒前
无花果的应助被科研通管家采纳,获得10
59秒前
1分钟前
专注寒蕾完成签到,获得积分10
1分钟前
美好的香薇完成签到,获得积分10
1分钟前
苗条的之桃完成签到,获得积分10
2分钟前
2分钟前
龙龙冲发布了新的文献求助10
2分钟前
温柔的曼易完成签到,获得积分10
2分钟前
My_magnum_opus完成签到,获得积分0
2分钟前
丘比特的应助被龙龙冲采纳,获得10
2分钟前
Kao完成签到,获得积分0
2分钟前
尊敬的迎梦完成签到 ,获得积分20
2分钟前
柔弱的妙旋完成签到,获得积分10
3分钟前
sr什么意思完成签到 ,获得积分10
3分钟前
淡淡的思天完成签到,获得积分10
3分钟前
清脆雅柔完成签到,获得积分10
4分钟前
无私鹤轩完成签到,获得积分10
4分钟前
花痴的向卉完成签到,获得积分10
4分钟前
隐形依秋完成签到,获得积分10
4分钟前
等待凡英完成签到,获得积分10
4分钟前
外向的涛完成签到,获得积分10
4分钟前
火星上的笑寒完成签到,获得积分10
5分钟前
大方碧完成签到,获得积分10
5分钟前
Dogged完成签到 ,获得积分10
6分钟前
Jasper的应助被平常惜海采纳,获得10
6分钟前
朴实无招完成签到,获得积分10
6分钟前
高挑的天问完成签到,获得积分10
6分钟前
6分钟前
平常惜海发布了新的文献求助10
6分钟前
Tsitsipas的应助被科研通管家采纳,获得10
6分钟前
CRUSADER的应助被科研通管家采纳,获得80
6分钟前
震动的秋凌完成签到,获得积分10
7分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Research Methodology: Best Practices for Rigorous, Credible, and Impactful Research 1000
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7782651
求助须知:如何正确求助?哪些是违规求助? 9322179
关于积分的说明 20387324
捐赠科研通 7371120
什么是DOI,文献DOI怎么找? 3320431
关于科研通互助平台的介绍 2468355
邀请新用户注册赠送积分活动 2336514