Trends and risk factors for death and excess all-cause mortality among notified tuberculosis patients in the UK: an analysis of surveillance data.

Trends and risk factors for death and excess all-cause mortality among notified tuberculosis patients in the UK: an analysis of surveillance data.

Pedrazzoli, Debora;Kranzer, Katharina;Thomas, H Lucy;Lalor, Maeve K;
erj open research 2019 Vol. 5
294
pedrazzoli2019trendserj

Abstract

In the UK, several hundred patients notified with tuberculosis (TB) die every year. The aim of this article is to describe trends in deaths among notified TB patients, explore risk factors associated with death and compare all-cause mortality in TB patients with age-specific mortality rates in the general UK population.We used 2001-2014 data from UK national TB surveillance to explore trends and risk factors for death, and population mortality data to compare age-specific death rates among notified TB patients with annual death rates in the UK general population.The proportion of TB patients in the UK who died each year declined steadily from 7.1% in 2002 to 5.5% in 2014. One in five patients (21.3%) was diagnosed with TB post-mortem. Where information was available, almost half of the deaths occurred within 2 months of starting treatment. Risk factors for death included demographic, disease-specific and social risk factors. Age had by far the largest effect, with patients aged ≥80 years having a 70 times increased risk of death compared with those aged <15 years. In contrast, excess mortality determined by incidence ratios comparing all-cause mortality among TB patients with that of the general population was highest among children and the working-age population (15-64 years old).Efforts to control TB and improve diagnosis and treatment outcomes in the UK need to be sustained. Control efforts need to focus on socially deprived and vulnerable groups. There is a need for further in-depth analysis of deaths of TB patients in the UK to identify potentially preventable factors.

Access

Citation

ID: 74608
Ref Key: pedrazzoli2019trendserj
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
74608
Unique Identifier:
00125-2019
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet