A person older than 100 years of age is more likely to die of an infection, such as pneumonia, than a younger elderly person, according to a U.K. study published online on 3 June in PLOS Medicine.
In an analysis of 36,000 death certificates, researchers from King's College London found that 28% of people between 100 and 155 years of age died of old age and approximately 20% from pneumonia. Cancer was the cause of death in fewer than 5% of the cases, while heart disease in fewer than 9%.
By comparison, those diseases were the most common reasons for death among the 80- to 84-year-old age group, with cancer responsible for 25% of deaths and heart disease nearly 20%.
The findings raise important questions for healthcare services, noted lead researcher Dr. Catherine Evans. Essentially, centenarians have outlived death from chronic illness, but have increasing frailty and vulnerability to pneumonia and other poor health outcomes.
She added that healthcare providers must plan for services that meet the needs of this centenarian group, who may decline rapidly if they succumb to an infection or pneumonia. For more on this topic, see a recent column from Dr. Paul McCoubrie.












![Overview of the study design. (A) The fully automated deep learning framework was developed to estimate body composition (BC) (defined as subcutaneous adipose tissue [SAT] in liters; visceral adipose tissue [VAT] in liters; skeletal muscle [SM] in liters; SM fat fraction [SMFF] as a percentage; and intramuscular adipose tissue [IMAT] in deciliters) from MRI. The fully automated framework comprised one model (model 1) to quantify different BC measures (SAT, VAT, SM, SMFF, and IMAT) as three-dimensional (3D) measures from whole-body MRI scans. The second model (model 2) was trained to identify standardized anatomic landmarks along the craniocaudal body axis (z coordinate field), which allowed for subdividing the whole-body measures into different subregions typically examined on clinical routine MRI scans (chest, abdomen, and pelvis). (B) BC was quantified from whole-body MRI in over 66,000 individuals from two large population-based cohort studies, the UK Biobank (UKB) (36,317 individuals) and the German National Cohort (NAKO) (30,291 individuals). Bar graphs show age distribution by sex and cohort. BMI = body mass index. (C) After the performance assessment of the fully automated framework, the change in BC measures, distributions, and profiles across age decades were investigated. Age-, sex-, and height-adjusted body composition reference curves were calculated and made publicly available in a web-based z-score calculator (https://circ-ml.github.io).](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/05/body-comp.XgAjTfPj1W.jpg?auto=format%2Ccompress&fit=crop&h=112&q=70&w=112)




