Mortality Rate Improvements – End of an Era, For Now…

Improvements in mortality rates characterized the twentieth century – the trend of living ever longer and healthier lives seemed assured.

Recent mortality rates, however, point to a change. The positive trend has slowed. But why? Are all ages affected? And surely medical advances will anyway have us back on track asap?

To answer those questions, we look at high-level developments in the main causes of mortality and their relevant risk factors. The recommendation is for caution: The future will remain less rosy, for now at least… 

A slowing improvement in mortality rates

Figure 1 shows the overall trends in mortality rates and life expectancy at birth for the US population. US data is predominantly used throughout this paper as detailed mortality data is available for the US.

The graph shows that the positive trends of the past began to level off in 2010. Comparing 2000-2010 to 2010-2016, mortality rate improvements deteriorated across all ages, with the worst deterioration in males aged 35-441. Similar trends are mirrored in other developed markets: e.g. in the UK, male mortality improvements averaged 3.1% per year from 2000-2011, falling to 0.7% a year from 2011-20162.

Figure 1: Age-adjusted mortality rates (blue line) and life expectancy at birth (orange line), both sexes, all races, US population, 1900-2015. Mortality rates show steady improvement (reduction) over the period, but in fact began to level off in 2010. Life expectancy at birth has likewise increased, but shows a similar levelling off in recent years. Looking far back, the impact of the 1918 flu pandemic is clearly visible, as is the bounce back in rates and life expectancy after this event. Source: CDC3.

We now break down this data by cause-of-death (leading causes, US); coronary heart disease, stroke and cancer, see figure 2. For each cause, we consider which, if any, age groups are most impacted by slowing mortality rate improvements, and how the evolving medical expectations and relevant risk factors for each cause might impact the future trends for these diseases.

Figure 2: Age-adjusted mortality rates by major cause of death, US population, both sexes, all races, 1960-2015. Most notably, heart disease rates (green line) fell significantly since the 1960s, being the major contributor to overall population mortality improvements during that time period, but flattened out in the last five years. Cancer rates (red line) continue to steadily fall. ‘Accidents’ refers to ‘unintentional injuries’, i.e. excludes suicide. After these main causes of death, Alzeimer’s disease and diabetes were the next two leading causes in the US in 2015-164. Source: CDC3.

The trends for the main natural causes of death

Coronary heart disease and stroke (28% of deaths5): Five decades of mortality rate improvement from these diseases in the US across all age groups was a major contributor to falling overall population mortality rates. In the UK, for example, 70% of all improvements from 1968-2010 were due to the decline in deaths from circulatory diseases2.

“In the UK, 70% of all improvements from 1968-2010 were due to the decline in deaths from circulatory diseases.”

However, over the last few years, rate improvements from coronary heart disease and stroke have reduced (figure 2); for heart disease (US population, age-adjusted, both sexes, all races), the average annual mortality improvement rate for the period 1999-2016 was 2.7%, whereas this fell to 0.9% for the more recent five-year period 2011-2016. This is important given that this is the leading cause of death. The only age groups not seeing a deterioration were ages 1-4 and 25-34. Ages 65-74 were worst affected, with improvements of 3.4% for 1999-2016, versus just 0.3% for 2011-20165.

“Over the last few years, mortality rate improvements from coronary heart disease and stroke have reduced.”

The earlier improvements can be attributed to lifestyle changes (especially reduced smoking) and medical advances, including bypass surgery and pacemakers in the 1970s, followed by coronary stents and stroke units in the 1990s.

Rate improvements are now reducing and further significant rate improvements from medical treatment are not anticipated for this disease group: most therapeutic innovations are already widely implemented, clinical trials for heart drugs significantly lag behind those for cancer6, and although new drugs offer hope within the next two decades, these are primarily for smaller subgroups of heart patients.

Overall, and before any meaningful implementation of next generation medicine, the period of strong mortality rate improvements for coronary heart disease and stroke would appear to be behind us.

2.7%  0.9%

Fall in US mortality rate improvements for heart disease,
1999-2016 cf. 2011-2016, Worst affected ages: 65-74

Cancer (21% of deaths5): After many decades of gradually increasing mortality rates, cancer deaths began to fall in around 1990 and have continued to steadily decline (figure 2) at a relatively consistent 1.5% (US population, age-adjusted, both sexes, all races) since 1999. The highest average annual improvement 2015-2016, 3.2%, was seen in the 45-54 age group, while ages 25-34 and 35-44 recorded slight deteriorations, respectively 1.1% and 0.2%5, something to watch.

1.5%

Steady US mortality rate improvement
for cancer since 1999

As for coronary heart disease and stroke, improved lifestyle has been a contributor to the positive trend. From a medical perspective, improvements from radiation therapy and chemotherapy in the last century are expected to be succeeded by future applications in cancer genomics, personalized medicine such as immunotherapy and earlier detection from liquid biopsy over the next 10-15 years. The high number of compounds in clinical development for cancer adds to the positive future outlook6.

External (c.f. natural) causes of death increasing in significance in the US

Now the third highest cause of US mortality (6% of deaths5).

Mortality rates from external causes (e.g. from traffic accidents, homicide and self-harm, including suicide and poisonings (mainly drug/opioid addiction)) have been slowly increasing in the US since 1999 (1.8% over the period 1999-2016, with variations by cause and age group).

Rates accelerated upward in 2015-2016. From 2014-2016, age groups 25-34 and 35-44 respectively experienced substantial 16.1% and 14.4% increases in accident mortality rates5. In 2016, the leading cause of death for ages 25 to 44 was poisonings, followed by suicide and then traffic accidents7.

Opioids are a significant contributor to the upward trend in the US, impacting all ages (above 15 years) and social classes, but with higher mortality rates observed for lower socio-economic groups8. Canada9 and the UK10 are also affected, but to a lesser extent.

+27%

Increase in US opioid mortality rates 2015 to 2016
Worst affected ages: 15-44

From 2015 to 2016, US opioid mortality (all ages) rose by a staggering 27.4% (figure 3; ages 15 to 74 all experienced over 20% mortality rate increases, ages 15-44 being the worst affected at over 30%5. US overdose deaths (all drugs) rose to 64,000 in 2016, a 20% increase on 201511.

Figure 3: Age-adjusted opioid mortality rates, 1999-2016, US population, all races. The upward trend followed by a sharp increase in 2015 is apparent. Source: SOA5.

Despite potential future improvements for some external causes of death from developments such as driverless cars and stricter weapons controls, the overall outlook for the US remains negative. If the statistics for these causes of death continue to worsen, the impact on future mortality rates will be meaningful.

AMR – the potential to undo future steps forward

With increased understanding of infectious diseases and how they are spread, combined with the power of antibiotics, mortality rates from infectious diseases have been in strong decline since the beginning of the twentieth century.

Future rates, however, are threatened by increasing antimicrobial resistance (AMR), which is rising at an accelerating rate, and by the fact that there is a lack of investment in new antibiotics12; only 1.6% of drugs in clinical development by the world’s 15 largest pharmaceutical companies were antibiotics13.

Next generation medicine could get things back on track – but not yet

Next generation medicine represents a sea change in our capabilities to improve mortality rates. But when will this happen? Digital health, for example, is already upon us and developing fast (e.g. artificial intelligence, eHealth, wearables, electronic health records, telemedicine and health apps). Genomics, the key to a new level of disease understanding, innovations in disease prevention, new drug targets14 and better drug efficiency, is also developing fast but still has many challenges to overcome, most likely requiring at least another two decades. The two combined (e.g. for simulations of an individual’s likelihood of disease and targeted, preventative surveillance) offer even greater future potential through precision, individualized medicine.

Impact of socio-economic factors

While overall mortality rates in the US are falling across all socio-economic groups and ages, global studies observe variations linked to socio-economic factors such as wealth, marital status, level of education and race15,16,17. For example, as previously noted for opioids, higher social class can be a general proxy for lower mortality. How socio-economic inequalities in mortality are changing is complex and varies, for example, by age18: inequalities have decreased for younger ages (0-20), notably increased for those aged over 50, remained steady for women aged 20-50, and decreased for men aged 20-50 (closing the gap between men and women in this age group).

And the overall prognosis?

Mortality rate improvements, largely driven by wins from healthier lifestyles (smoking reduction) and advances in diagnostics and the treatment of common diseases, have slowed in the last decade.

For heart disease, US ages 65-74 experienced the worst slowing. Cancer rates are still showing some promise, but the cohort effect (see below, ‘Background insights’) that helped to boost the past in some regions is fading, external causes of death (accidents and suicide) are increasing in significance in some regions (in the US, especially since 2015 and in ages 25-44; for opioids, ages 15-74), and AMR is on the rise. Next generation medical progress, digital health and genomics in particular, may begin to claw back some of that downward trend in coming years, but any meaningful impact from these areas will need more time.

We find ourselves in a dynamic, interim phase of mortality rate improvement. Caution is needed. Slowing will remain in place in some regions, at least for a while. Thereafter, the new mortality landscape will be drawn out by the interaction and timing of next generation medical advances and by the specific progression of AMR, lifestyle and socio-economic risk factors.

“We find ourselves in a dynamic, interim phase of mortality rate improvement. Caution is needed.”

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Background insights

The cohort effect – past driver of mortality rate gains now losing its impact

The cohort effect refers to the observation that those born in a particular period, for example in the UK the cohort comprising those born between 1925 and 1944 (centered on 1931), experienced better mortality improvements than other generations19. The cohort in question had a very significant and positive impact on overall historic population mortality rate improvements. The contribution of this cohort to mortality rate improvements, however, now won’t repeat, an effect that is contributing to the observed slowdown in mortality rate improvements.

The effect has been documented in the UK, US20 and Canada21, but is most pronounced in the UK. There is no clear documentation of it in other countries. The specified cohort experienced the depression, war, smoked, quit smoking in their masses, and later benefitted from major medical advances in the 1960s and 70s. It experienced materially improved mortality compared to the preceding cohort and subsequent cohorts have not improved as much.


1 WillisTowersWatson ‘Insights’, 2016. https://www.willistowerswatson.com/en/insights/2018/02/mortality-data-show-declining-longevity-improvements
2‘Mortality Improvements in Decline’, The Actuary, August 2017.
3https://www.cdc.gov/nchs/data-visualization/mortality-trends/
4https://www.cdc.gov/nchs/products/databriefs/db293.htm
5US Population Mortality Observations, Updated with 2016 Experience, Society of Actuaries (2018).
6e.g. https://www.sciencedirect.com/science/article/pii/S0735109715008232
7Center for Disease Control: http://www.worldlifeexpectancy.com/usa-cause-of-death-by-age-and-genders
8e.g. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4418844/ – Study “found a difference in mortality of 29.22 overdose deaths per 100 drug users in the lowest socioeconomic group compared to the most advantaged group”.
9e.g. https://www.theglobeandmail.com/news/national/opioid-related-overdose-figures-show-grim-reality-of-canadian-epidemic/article36257932/
10e.g. https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/bulletins/deathsrelatedtodrugpoisoninginenglandandwales/2016registrations
11e.g. https://www.theguardian.com/us-news/2017/sep/03/fentanyl-synthetic-opioids-deaths-doubled-us .
12e.g. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4378521/
13 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4159373/
14Identifying and proving that DNA, RNA or a protein molecule is directly involved in a disease process and can be a suitable target for the development of a new therapeutic drug.
15e.g. Gapminder.org – https://www.gapminder.org/GapminderMedia/wp-uploads/Gapminder-World-2012.pdf
16https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/lifeexpectancies/bulletins/trendinlifeexpectancyatbirthandatage65bysocioeconomicpositionbasedonthenationalstatisticssocioeconomicclassificationenglandandwales/2015-10-21
17Rogot, Eugene, Paul D. Sorlie et al .1992. “Life Expectancy by Employment Status, Income, and Education in the National Longitudinal Mortality Study.” Public Health Reports 107(4):457–61.
18http://www.nber.org/papers/w22199.pdf
19e.g. ‘The Cohort Effect: Insights and Explanations’, R.C.Willets, 2004.
20e.g. ‘Mortality Improvement Scale MP-2016’, Society of Actuaries, October 2016.
21http://www.cia-ica.ca/docs/default-source/2017/217097e.pdf

Editor: Dr. Sara Thomas, PartnerRe

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