Abstract

Aims: To evaluate single-year-of-age specificity in deaths in England and Wales associated with a large, unexpected and unexplained increase in 2012. To demonstrate that this type of event has occurred previously across the entire UK. To demonstrate that infectious-like spread at a regional level in England may be involved. Study Design: Longitudinal study of annual (calendar year) deaths (all-cause mortality) in the United Kingdom and England and Wales using publically available statistics available from the Office for National Statistics (ONS). Place and Duration of Study: United Kingdom, England & Wales, local authorities within England & Wales covering a variety of time spans designed to illustrate various key points. Methodology: Deaths between 1974 and 2012 in the United Kingdom. Live population and deaths for residents of England and Wales and of English local authorities. Calculation of single-year-of-age death rates in 2011 and 2012 which are the years before and after the large and unexpected increase in deaths. Results: A recurring series of infectious-like events can be demonstrated which prior to 2000 had been largely assumed to be due to influenza epidemics. The event in 2012 shows specificity for the elderly particularly above age 75, which is somewhat expected given increased susceptibility to the environment as we age. The single year of age mortality rate shows saw tooth behavior for deaths in 2011 and even more exaggerated saw tooth behavior is seen in the difference between 2011 and 2012. Similar saw tooth behavior is seen in the difference between single-year-of-age standardized admissions Original Research Article British Journal of Medicine & Medical Research, 4(16): 3196-3207, 2014 3197 via the emergency department in England between 2008 and 2012. The infectious spread across England behind this phenomenon is illustrated at regional level and probably results in a 40% underestimation of the saw tooth behavior. Conclusion: The saw tooth behavior is known to be associated with what is called ‘original antigenic sin’. Hence the saw tooth behavior appears to indicate that the unexpected high elderly mortality in 2012 was due to an outbreak of an infectious agent which has multiple strains. This behavior confirms the results of other studies investigating simultaneous increase in medical admissions to hospital during the time that the deaths increase. The ubiquitous herpes virus, cytomegalovirus may be involved, although at the moment this virus provides a prototype for the sort of immune modulating agent that may be responsible. The use of five year age bands to age standardize mortality and medical admission rates may be subject to misleading outcomes where the periodicity behind these outbreaks and their cumulative effect on immune mediated responses is out of synchrony with the basic saw tooth behavior seen in both mortality and admission rates. This has major implication to the calculation of hospital standardized mortality rates (HSMR).

Highlights

  • In England and Wales the absolute numbers of deaths have been declining from the mid-1990 due to ongoing improvements in life expectancy

  • The aim of this paper is to demonstrate that the bulk of unexpected deaths in 2012 were for the elderly and that curious single-year-of-age saw tooth movement in the mortality rate may offer a clue to the etiology of the source of the excess deaths

  • Removing these spikes allows the calculation of a baseline trend which can be subtracted from the actual deaths to accentuate the epidemic events

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Summary

Introduction

In England and Wales the absolute numbers of deaths have been declining from the mid-1990 due to ongoing improvements in life expectancy. In February of 2012 there was a totally unexpected, unexplained and sudden increase in deaths which continued through to mid2013 when deaths reverted back to more usual levels [2]. This is not the first time that this unusual increase in deaths has occurred and previous occurrences in 1993, 1996, 2002 (main peak in 2003) and 2007 (main peak in 2008) have been documented along with simultaneous increases in emergency department attendances, medical admission to hospital, GP referrals and wider health care costs, all of which show infectious-like spatiotemporal spread and condition specificity [3,4,5,6,7,8,9,10,11,12,13,14,15]. Are there hidden signatures in the mortality data which may shed light on this curious phenomena?

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