44 SA JournAl of PhySiotherAPy 2011 Vol 67 no 1 Research Article Differences in characteristics between people with lower limb amputations who died before 12 weeks and those who survived: Short Report Correspondence to: Lonwabo L Godlwana Department of Physiotherapy School of Therapeutic Sciences Faculty of Health Sciences University of the Witwatersrand 7 York Road, Parktown Johannesburg, South Africa E­mail: lonwabo.godlwana@wits.ac.za AbSTrAcT: The baseline determinants of survival following a non-traumatic lower limb amputation (LLA) in participants in the Johannesburg metropolitan area are unknown. The aim of the study was to establish the characteristics of participants who had died by three months after LLA A longitudinal pre- test- post test study utilized participant interviews (n=73). Consecutive sampling was used to select participants who met the inclusion criteria. Ethical clearance was obtained. Permission was obtained from the hospitals. Participants gave consent before taking part in the study. A demographic questionnaire, the EQ-5D, the Modified Household Economic and Social Status Index (HESSI) and the Barthel Index (BI) were used, to collect data. Participants were interviewed preoperatively and then followed up three months post-operatively to establish survival/ existence. Twenty-four participants (33%) had died. The preoperative median Visual Analogue Scale (VAS) of the EQ-5D was 60 and 70 showing no significant difference in quality of life (QOL) between those who survived and those who died respectively. The preoperative median total BI score was 20 and 19 showing significantly inferior function for the deceased (p=0.01). The deceased were significantly older (p=0.009) used alcohol (p=0.02) and smoked tobacco (p=0.03). Being older, having poorer function, being a smoker and drinking alcohol preoperatively seem to decrease the chance of survival following LLA in Johannesburg. KEY WORDS: lOWER lIMB AMPUTATION, SURvIvAl, qUAlITY OF lIFE, FUNCTION, SOCIO- ECONOMIC STATUS. Godlwana L, MSc1 Stewart A, PhD1 Musenge E, MSc Med1 1 University of Witwatersrand tation are associated with poor survival. Mortality in LLA has been reported as early as the perioperative stage, where 14.7% of participants with diabetes and 21.3% of participants without diabetes tend to die (Papazafiropoulou et al, 2009). Mortality rates of 12%, and 29%, at one week, and 30­days respectively have also been reported (Eskelinen et al, 2004). Back­Pettersson and Bjorkelund (2005) reported that, one third of parti­ cipants died within six months regard­ less of gender and age. In South Africa, there is no literature on mortality following LLA.This paper therefore describes the differences in function, quality of life and socio­ economic characteristics between those patients with amputations who sur­ INTRODuCTION Lower limb amputation (LLA) results in a wide range of outcomes including death (Leung and Wong, 2004). Survival rates vary across countries but the mortality rate is generally high (Wong, 2005; de Godoy et al, 2005). Old age and higher anatomical levels of ampu­ vived and those who had died before a 12 week follow up which was part of a larger study on patients with lower limb amputation. The results of this study may assist in improving current pre and postoperative management interventions for people with LLA. METHODOLOgy This was a longitudinal pre and post test study conducted between 01 June 2008 to 01 June 2009. Participants were inter­ viewed preoperatively and then traced to verify their existence 12 weeks post operatively. Consecutive sampling was used to draw participants (n=73) from the preoperative lists of people sche­ duled for first time major LLA at the three tertiary hospitals in Johannesburg. Participants were excluded if their 45 SA JournAl of PhySiotherAPy 2011 Vol 67 no 1 amputation was as a result of trauma or a congenital birth defect; if they had co­morbidities that interfered with function pre­operatively, and that could potentially impact on their recovery and those with altered cognitive function making it difficult for them to compre­ hend the study and thus, the nature of participation. Institutional ethical approval was obtained and participants gave informed consent. A pilot study was conducted to ensure understanding of the question­ naires used to collect data. Three well known valid and reliable questionnaires were used to collect data in addition to a basic demographic questionnaire, namely, the Modified HESSI (Barbarin and Khomo, 1997) the EQ­5D and the Barthel Index (BI) (Finch, 2000). All data were obtained using inter­ views. Baseline data were collected pre­operatively when patients were admitted to hospital for the amputation. The second set of data collection was done post­operatively 12 weeks after the amputation. Data were analyzed using STATA 10.0. Data are presented as means, standard deviations, medians and frequencies. Preoperative differences were analyzed using the Wilcoxon Signed­rank test and Chi square/Fischer’s exact tests. RESuLTS Seventy­ three participants were eligible for the study. Forty (55%) participants survived, 9% were lost during follow up and 33% (n=24) were confirmed as deceased. Participants who died were signifi­ cantly older than those who survived (p=0.009). Summary of clinical characteristics Forty­six percent of the deceased group had hypertension, 67% diabetes, 50% reported peripheral vascular disease 40% chronic heart diseases. Other cli­ nical conditions, included renal failure, presence of a retroviral disease and oncology (13%). Sixty percent of the surviving group had hypertension, 64% diabetes, 48% peripheral vascular disease 1% chronic heart diseases. Other clinical conditions reported, (16%) included renal failure, presence of a retroviral disease and oncology. A significantly higher percentage of participants who smoked died (p=0.03) as did those who drank alcohol (p=0.02). The people who died were generally of poorer functional status than those who survived as seen by the median total BI scores (p=0.01). There was no significant difference in the EQ­5D median VAS score between the two groups (p=0.4) and no significant differences in the EQ­5D item scores for the two groups. Table 1: comparison of demographic characteristics of the survivors (n=40) and the deceased (n=24) Preoperatively Preoperatively p-value n=40 (Survivors) n= 24 (Deceased) Gender Male n=27 (67.5%) n=17 (70.8%) Female n=13 (32.5%) n=7 (29.2%) Race Black n=30 (75%) n=14 (58.3%) White n=5(12.5%) n= 8 (33.3%) Indian n=0 (0%) n= 1 (4.2%) Coloured n=5(12.5%) n= 1 (4.2%) level of Amputation Unilateral BKA n=26(65%) n= 13 (54.2%) Unilateral AKA n=14(35%) n= 11 (45.8%) Age Mean (SD) and percentiles (n=40) Mean (SD) and percentiles (n=24) 0.009 Mean 52.9 SD8.61 47- 25th 52-50th 58.5-75th Mean 58.54 SD7.27 52-25th 59-50th 63.5-75th Table 2: comparison of social habits for the survivors (n=40) and deceased participants (n=24) Social habits Preoperatively Preoperatively p-value n=40 (Survivors) n= 24 (Deceased) Use of alcohol Yes n=21(52.5%) n= 9 (37.5%) 0.02 No n=19(47.5%) n= 15 (62.5%) Smoking Yes n=21(52.5%) n= 10 (41.7%) 0.03 No n=19(47.5%) n= 14 (58.3%) Household Economic and Social Status In the deceased group, 58% were married and currently living with their partners. The remainder of the parti­ cipants were either never married and not living with a partner (17%), married but not living with a partner (8%) e.g. divorced or separated, widowed (13%) and never married but living with a partner (4%). In this group, 21% had no income. Those who had an income were receiving private pensions (4%), old 46 SA JournAl of PhySiotherAPy 2011 Vol 67 no 1 Table 3: comparison of functional status between the participants who sur- vived (n=40) and those who died (n=24) item Score Preoperative n=40(100%) (Survivors) Preoperative n=24 (100%) (Deceased) p-value Bi-Bowel 0 n=0(0%) n=0 (0%) 0.0081 n=0(0%) n=4 (16.7%) 2 n=40(100%) n=20 (83.3%) Bi-Bladder 0 n=0(0%) n=0(0%) 0.041 n=1(2.5%) n=4(16.7%) 2 n=39(97.5%) n=20(83.3%) Bi-Grooming 0 n=0(0%) n=1(4.2%) NS 1 n=40(100%) n=23(95.8%) Bi-Toilet use 0 n=0(0%) n=1(4.2%) NS1 n=5(12.5%) n=4(16.7%) 2 n=35(87.5%) n=19(79.2%) Bi-Feeding 0 n=0(0%) n=1(4.2%) NS1 n=0(0%) n=1(4.2%) 2 n=40(100%) n=22(91.6%) Bi-Transfer 0 n=1(2.5%) n=1(4.2%) 0.03 1 n=2(5%) n=4(16.7%) 2 n=1(2.5%) n=4(16.7%) 3 n=36(90%) n=15(62.4%) Bi-Mobility 0 n=2(5%) n=1(4.2%) 0.001 1 n=1(2.5%) n=4(16.7%) 2 n=0(0%) n=5(20.8%) 3 n=37(92.5%) n=14(58.3%) Bi-Dressing 0 n=0(0%) n=0(0%) 0.021 n=1(2.5%) n=5(20.8%) 2 n=39(97.5%) n=19(79.2%) Bi-Stairs 0 n=4(10%) n=5(20.8%) NS1 n=3(7.5%) n=5(20.8%) 2 n=33(82.5%) n=14(58.4%) Bi-Bathing 0 n=1(2.5%) n=3(12.5%) NS 1 n=39(97.5%) n=21(87.5%) Total Bi Mean (SD) and per- centiles (n=40) Mean (SD) and percentiles (n=24) 0.01 Mean 19.15 (SD2.19) 19.5-25th 20-50th 20-75th Mean 16.92 (SD3.91) 13.5-25th 19-50th 20-75th NS-not significant, p=0.05 significant age pensions (25%), disability grants (12%), and 38% were still employed. Only one participant lived in a shack and 61% lived in a home that was not shared with other families. In the survivors group, 43% of the participants were married and living with their partners. The remaining par­ ticipants were either never married and not living with a partner (15%), married but not living with a partner (18%) e.g. divorced or separated, widowed (12%) and never married but now living with a partner (12%). Forty percent of the surviving participants had no income. Those who had an income received a private pension (2%), old age pension (18%), a disability grant (10%), and (30%) were employed. The level of edu­ cation ranged from no formal education to college education. One participant was homeless, 18% lived in shacks and 50% lived in a home that was not shared with other families. DISCuSSION Thirty­three percent (n=24) of par­ ticipants died before three months. Generally, LLA has a high mortality rate. Research shows that the survival rate varies across countries (de Godoy et al, 2005; Nehler et al, 2003). None of these studies were conducted in Africa but there was a high mortality rate in a study done in Brazil, which is a devel­ oping country like South Africa (de Godoy et al, 2005). The above studies had follow ups ranging from two weeks postoperatively to five years postope­ ratively. The deceased group had significantly more smokers than those who survived. Current smoking is a significant pre­ dictor of death from cardiac causes in people with LLA (Davis et al,2006). Similarly, the group who died had sig­ nificantly more drinkers than those who survived. Naschitz and Lenger (2008) report that moderate alcohol consump­ tion (drinking) has a cardiovascular protective effect, however, an increased risk of cardiovascular related death isobserved among heavy drinkers. The amount of alcohol drunk by participants was not recorded but possibly due to higher levels of smoking and drinking, people may have had poorer cardiovas­ cular function and this resulted in death. The participants who died were gene­ 47 SA JournAl of PhySiotherAPy 2011 Vol 67 no 1 Table 4: comparison of the eQ- 5D vAS between the participants who survived (n=40) and those who died (n=24) Mean (SD) and percentiles for Survivors(n=40) Mean (SD) and Percentiles for Deceased(n=24) p-value VAS Mean 62.88 (SD22.12) Mean 67.5 (SD24.14) 50-25th 50-25th 0.4(NS) 60-50th 70-50th 80-75th 85-75th rally older than those who survived. A finding supported by Back­Pettersson and Bjorkelund (2005) and Otiniano et al (2003). The participants who died had poorer function compared to those who survived, which is similar to Otiniano et al (2003) Leung and Wong, (2004). Poor preoperative mobility and low preoperative BI scores are predic­ tors of death (Leung and Wong, 2004). The poorer function in those who died may have meant that secondary compli­ cations due to immobility post opera­ tively occurred, resulting in death. It was not possible to establish the level or availability of rehabilitation so with­ out any interventions those participants with poor pre­operative function would probably have been fairly immobile post operatively. The death rate in this study is dou­ ble the figures reported in the literature (Papazafiropoulou et al (2009), Pernot et al (2000), Eskelinen et al (2004), Leung and Wong (2004). Eskelinen et al (2004) reported 29% deaths in 30 days, but the mean age was 72 years, 10 years older than those in this study. Papazafiropoulou et al (2009) only reported such findings at one to two year post operatively and, their participants were also 10 years older. Again this may be due to the poor mobility which in turn is probably due to a lack of accessible rehabilitation. Most participants in both groups were single, they were of low socioeconomic status and the majority were males, a finding similar to Godlwana et al (2008). Participants were generally unemployed as were those of Burger and Marincek (2007), Amosun et al (2005). They were generally of low or had no formal education and this results in difficulty getting employment , which contributes to their poor economic status (Burger and Marincek, 2007). In turn this makes accessing rehabilitation difficult. CONCLuSION Death after LLA in Johannesburg is associated with poor preoperative func­ tion, smoking, drinking and being older. The Johannesburg Metropolitan area of South Africa appears to have a higher death rate following non­traumatic LLA within three months than that in other studies. Because these participants come from poor socio­economic backgrounds a more concerted effort should be made to increase the accessibility of appro­ priate rehabilitation services. In addition the need for lifestyle modification pro­ grammes is evident. ACkNOWLEDgEMENTS The authors would like to extend a special thanks to Mr. Lesley Phokontsi, the Faculty Research Fund, Wits physi­ otherapy staff, Dr. Jarek Kowalczyk and his team, the Vascular Units and their respective General Surgery Units and the Physiotherapy Departments of the candidate hospitals for their support. Most importantly, we thank the parti­ cipants for taking part in this study. REfERENCES Back­Pettersson S and Bjorkelund C 2005 Care of elderly lower limb amputees, as described in medi­ cal and nursing records. Scandinavian Journal of Caring Science 19: 337­343 Barbarin O, Khomo N, 1997 Indicators of eco­ nomic status and social capital in South African townships, what do they reveal about the material and social conditions in families of poor children? Childhood, 4(2): 193­222 Burger H and Marincek C 2007 Return to work after lower limb amputation. 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