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Falls risk assessment in the satellite dialysis population.

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<strong>Falls</strong> Risk Assessment <strong>in</strong> <strong>the</strong><br />

Satellite Dialysis Population<br />

Marlena Esposito<br />

Physio<strong>the</strong>rapist, <strong>Falls</strong> Prevention Team<br />

April <strong>Falls</strong> Forum 2011


Introduction


Chronic Kidney Disease<br />

> 1 <strong>in</strong> 7 Australians over 25 years have some degree of CKD<br />

> Contributed to 10% of deaths <strong>in</strong> Australia 2006<br />

Description<br />

GFR*mL/m<strong>in</strong>/1.73m2<br />

Stage 1<br />

Slight kidney damage with normal or<br />

<strong>in</strong>creased filtration<br />

Stage 2 Mild decrease <strong>in</strong> kidney function 60-89<br />

More than 90<br />

Stage 3 Moderate decrease <strong>in</strong> kidney function 30-59<br />

Stage 4 Severe decrease <strong>in</strong> kidney function 15-29<br />

Stage 5<br />

Kidney failure requir<strong>in</strong>g <strong>dialysis</strong> or<br />

transplantation<br />

Less than 15


End Stage Chronic Kidney<br />

Disease ESKD (Renal Failure)<br />

"stage <strong>in</strong> chronic<br />

renal impairment<br />

that appears<br />

irreversible and<br />

permanent, and<br />

requires a regular<br />

course of <strong>dialysis</strong><br />

or kidney<br />

transplantation to<br />

ma<strong>in</strong>ta<strong>in</strong> life.”<br />

Medicare Australia 2009


End Stage Kidney Disease -<br />

Causes of New Cases<br />

> Diabetes 31%<br />

> Nephritis or <strong>in</strong>flammation of <strong>the</strong><br />

kidney 25%<br />

> High blood pressure 16%<br />

ANZDATA 2008


Dialysis Units <strong>in</strong> Adelaide<br />

Public Hospitals:<br />

> Fl<strong>in</strong>ders<br />

> RAH<br />

> TQEH<br />

> WCH<br />

Satellite Centres:<br />

> LMHS<br />

> HRC<br />

> Wayville<br />

> Noarlunga<br />

Usually <strong>in</strong>volves:<br />

3- 5 hours per session<br />

2- 3 sessions per week<br />

Private:<br />

> Payneham<br />

> Brighton<br />

> Modbury


New Patients, Australia<br />

New Patients, NZ<br />

New Patients 1960 - 2010<br />

Australia and New Zealand<br />

2500<br />

500<br />

2000<br />

400<br />

1500<br />

300<br />

1000<br />

200<br />

500<br />

100<br />

0<br />

0<br />

1960 1970 1980 1990 2000 2010<br />

Year<br />

Australia NZ<br />

ANZDATA 2010


Age of New Haemo<strong>dialysis</strong> Patients 2006<br />

Number (Total=2030)<br />

Australia<br />

0.6%<br />

2% 4% 9% 14% 22% 26% 20%<br />

2%<br />

0-14 15-24 25-34 35-44 45-54 55-64 65-74 75-84 >=85<br />

No.<br />

Pats. 13 33 77 188 292 452 526 404 45<br />

© ANZDATA Registry<br />

ANZDATA 2008


Dialysis and <strong>Falls</strong> Risk<br />

> Previously received little attention<br />

> Recent literature: greater <strong>risk</strong> of<br />

fall<strong>in</strong>g <strong>the</strong>n <strong>the</strong> age equivalent<br />

general <strong>population</strong><br />

> Rates of fall<strong>in</strong>g <strong>in</strong> literature as<br />

high as 47%<br />

Cook et al 2006; Li et al 2008; Roberts et al 2007; Cook & Jassal 2005;<br />

Desmet et al 2005; Roberts et al 2003


Hip Fracture<br />

Mortality<br />

Older Person<br />

Older Person on Dialysis<br />

1.5% of<br />

all falls<br />

6% of<br />

all falls<br />

27% deceased<br />

with<strong>in</strong> <strong>the</strong> first<br />

year<br />

50% deceased<br />

with<strong>in</strong> <strong>the</strong> first<br />

year<br />

Health SA 2009 Coco and Rush 2000


Dialysis <strong>Falls</strong> Risk Factors:<br />

1. Co-morbidities<br />

High prevalence of:<br />

> Diabetes<br />

> Sleep disorders<br />

> Bone disease<br />

> Depression<br />

> Cardiovascular disease<br />

> Peripheral and autonomic<br />

neuropathies<br />

Cook et al 2006, Jassal et al 2006


Dialysis <strong>Falls</strong> Risk Factors:<br />

2. Medications<br />

> Average of 9<br />

medications<br />

> More likely to be<br />

prescribed<br />

antidepressants,<br />

narcotics and<br />

hypnotics<br />

Elder et al 2004


Dialysis <strong>Falls</strong> Risk Factors:<br />

3. The Dialysis Process<br />

Rapid fluid and electrolyte shifts<br />

dur<strong>in</strong>g <strong>dialysis</strong> pre-dispose to<br />

<strong>dialysis</strong>-related hypotension and<br />

self-limited arrthymias.


Gaps <strong>in</strong> <strong>the</strong><br />

Literature<br />

To date no published studies of<br />

physiological <strong>risk</strong> factors such as vision,<br />

proprioception, strength, vision and<br />

balance.<br />

No published studies of effect of falls<br />

prevention <strong>in</strong>terventions with this group.<br />

Collaborative study (CPAA, HDC, WDC, Deak<strong>in</strong><br />

University & CaNAHS <strong>Falls</strong> Prevention Team)<br />

to <strong>in</strong>vestigate <strong>Falls</strong> Risk Factors of <strong>satellite</strong> Dialysis<br />

Patients


Aim of <strong>the</strong> Study


Study Aims<br />

1. To determ<strong>in</strong>e <strong>the</strong> falls <strong>risk</strong> of patients<br />

from two South Australian <strong>satellite</strong><br />

<strong>dialysis</strong> units.<br />

2. To determ<strong>in</strong>e <strong>the</strong> impact of<br />

proprioception, contrast sensitivity,<br />

balance, strength and reaction time<br />

on falls <strong>risk</strong>.<br />

3. To determ<strong>in</strong>e <strong>the</strong> difference between<br />

pre and post <strong>dialysis</strong> falls <strong>risk</strong> scores.


Methods


92 <strong>satellite</strong> <strong>dialysis</strong> patients<br />

were assessed pre and<br />

post <strong>dialysis</strong> (i.e. same<br />

day) us<strong>in</strong>g <strong>the</strong><br />

Physiological Profile<br />

Assessment (PPA).<br />

The FROP-Com Screen<br />

was also undertaken.


The Physiological Profile<br />

Assessment (Short Form PPA)<br />

The PPA is a falls <strong>risk</strong> calculator tool comprised of 5 tests:<br />

Scores are loaded <strong>in</strong>to a computer software program to<br />

calculate performance <strong>in</strong> relation to <strong>the</strong> normative database<br />

complied from large <strong>population</strong> studies.<br />

Lord et al 2003


Individual test<br />

component z-score<br />

Age-matched<br />

<strong>in</strong>dividual scores<br />

Normal range across<br />

age groups<br />

<strong>Falls</strong> Risk Score and<br />

Category


Results


Patient Demographics<br />

84 patients completed <strong>the</strong> test.<br />

‣Age: Mean = 65.53<br />

Range 29 -87 yrs<br />

‣Gender: Female = 28 (33.3%)<br />

Male = 56 (66.7%)<br />

‣ATSI: n = 8 (9.5%)<br />

Mean age 56.25


1. Aged Matched <strong>Falls</strong> Risk Score<br />

68 % performed worse than age and<br />

gender matched normal non-<strong>dialysis</strong> <strong>population</strong>


2. <strong>Falls</strong> Risk Category<br />

23%<br />

2%<br />

11%<br />

17%<br />

17%<br />

very low<br />

low<br />

mild<br />

moderate<br />

marked<br />

very marked<br />

30%


3. Individual Test Results


a) Contrast Sensitivity<br />

83 % worse than<br />

average aged<br />

matched non<strong>dialysis</strong><br />

<strong>population</strong><br />

53% significantly<br />

worse


) Postural Sway<br />

47% worse than<br />

average aged<br />

matched non<strong>dialysis</strong><br />

<strong>population</strong><br />

37% significantly<br />

worse


c) Proprioception<br />

37% worse<br />

than average<br />

aged matched<br />

non-<strong>dialysis</strong><br />

<strong>population</strong><br />

21%<br />

significantly<br />

worse


d) Muscle Strength<br />

81% worse<br />

than average<br />

aged matched<br />

non-<strong>dialysis</strong><br />

<strong>population</strong><br />

32%<br />

significantly<br />

worse


e) Reaction Time<br />

62% worse than average aged<br />

matched non-<strong>dialysis</strong> <strong>population</strong><br />

42% significantly worse


O<strong>the</strong>r Significant F<strong>in</strong>d<strong>in</strong>gs<br />

Significant correlations between:<br />

‣Reaction time and lower limb strength<br />

‣Reaction time and postural sway<br />

‣Individuals > 60 yrs performed significantly worse <strong>in</strong><br />

all tests than < 60 yr group.<br />

‣ATSI patients performed better with vision but<br />

significantly worse on all o<strong>the</strong>r tests and higher overall<br />

falls <strong>risk</strong> scores.


<strong>Falls</strong> History<br />

‣Significant negative correlation between self-reported<br />

12 month fall history and postural sway.<br />

‣Indicates that a lower number of falls is associated with<br />

higher (i.e. better) postural sway scores.<br />

‣There were no statistically significant correlations<br />

between history of falls and <strong>the</strong> o<strong>the</strong>r four variables.<br />

Mean Score<br />

Multiple <strong>Falls</strong><br />

S<strong>in</strong>gle Fall<br />

No <strong>Falls</strong><br />

-1.2 -1 -0.8 -0.6 -0.4 -0.2 0


Number of patients<br />

Pre and Post Dialysis <strong>Falls</strong> Risk Scores<br />

40<br />

38<br />

35<br />

30<br />

25<br />

20<br />

15<br />

18<br />

17<br />

10<br />

5<br />

0<br />

7<br />

3<br />

1<br />

Increase by 3 Increase by 2 Increase by 1 No change Decrease by 1 Decrease by 2<br />

Pre-post change <strong>in</strong> falls <strong>risk</strong>


Where to from here?


Strength and Balance Intervention


Conclusions


Prelim<strong>in</strong>ary data confirms <strong>the</strong> high<br />

prevalence of falls <strong>risk</strong> <strong>in</strong> people<br />

receiv<strong>in</strong>g haemo<strong>dialysis</strong> <strong>in</strong> <strong>satellite</strong><br />

<strong>dialysis</strong> units.<br />

This group perform below average <strong>in</strong><br />

PPA test components compared to <strong>the</strong><br />

age and gender equivalent general<br />

<strong>population</strong>.<br />

Same day pre and post <strong>dialysis</strong> falls <strong>risk</strong><br />

scores did not significantly change.


PPA is a practical method of<br />

differentiat<strong>in</strong>g <strong>dialysis</strong> patients are at <strong>risk</strong><br />

for falls from those who are not at <strong>risk</strong><br />

for falls.<br />

Identify<strong>in</strong>g at <strong>risk</strong> patients can assist<br />

exercise physiologists, physio<strong>the</strong>rapists,<br />

occupational <strong>the</strong>rapists, <strong>dialysis</strong> nurs<strong>in</strong>g<br />

staff and o<strong>the</strong>r health professionals to<br />

provide falls prevention <strong>in</strong>terventions to<br />

prevent falls <strong>in</strong> <strong>the</strong> high <strong>risk</strong> groups.


Acknowledgments<br />

> Dr Paul Bennett, RN (Renal) MHSM PhD,<br />

Deak<strong>in</strong> University Melbourne<br />

> Danw<strong>in</strong> Chan, Exercise Physiologist,<br />

Centre for Physical Ag<strong>in</strong>g and Activity<br />

> Dee Parkhurst, Cl<strong>in</strong>ical Service<br />

Coord<strong>in</strong>ator, Wayville Dialysis Unit<br />

> Leo Breugelmans, Cl<strong>in</strong>ical Services<br />

Coord<strong>in</strong>ator, Hampstead Dialysis<br />

> Bob Barnard, Chief Exercise Physiologist,<br />

Centre for Physical Activity <strong>in</strong> Age<strong>in</strong>g


References<br />

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<strong>in</strong>cidence, <strong>risk</strong> factors and prevention. Sem<strong>in</strong>ars <strong>in</strong> Dialysis 2006:19:1;75-79.<br />

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