Survival of patients undergoing hemodialysis treatment
Supervivencia de pacientes en tratamiento de hemodiálisis
Carlos Antonio Escobar-Suarez
ua.carlosescobar@uniandes.edu.ec
Universidad Regional Autónoma de Los Andes. UNIANDES,
Ambato - Ecuador.
https://orcid.org/0000-0002-9280-1555
ABSTRACT
The
aim of the study was to determine the factors related to survival of patients
who started hemodialysis in the ICU of the Hospital General Guasmo Sur,
Ecuador. The study population consisted of 193 patients and was cross-sectional
and measured by clinical histories. The type of vascular access was not related
to the cause of death recorded because 97% of the universe used a temporary
central venous catheter. In living patients, the average time spent in dialysis
sessions was 2.6 hours, with a minimum of 2 and a maximum of 4 hours. The
average length of hospital stay in the survivors was 21 days, with a range of 3
to 71 days. It was reported that there is a high survival relationship with the
conditional factors, 46% of the sample were deaths with cardiac involvement as
the predominant cause of death, therefore sepsis.
Descriptors: health
statistics; health
economics; cost of
living. (Source: UNESCO Thesaurus).
RESUMEN
El estudio tiene
el objetivo de determinar los factores relacionados con la supervivencia de los
pacientes que iniciaron hemodiálisis en UCI del Hospital General Guasmo Sur,
Ecuador. De tipo transversal con una medición por historias clínicas, la
población de estudio estuvo conformada con 193 pacientes. El tipo de acceso
vascular se desvinculó con la causa de decesos registrados debido a que el 97%
del universo utilizó catéter venoso central temporal. En los pacientes vivos
tuvo 2,6 horas de promedio en las sesiones dialíticas, con mínimo de 2 y máximo
de 4 horas. El tiempo de estadía hospitalaria en los sobrevivientes fue con un
promedio de 21 días con un intervalo entre 3 a 71 días. Se reportó que existe
una alta relación de supervivencia con los factores condicionales, el 46% de la
muestra fueron decesos que presentaron afectación cardiaca predominante en la
causa de muerte por consiguiente la sepsis.
Descriptores: estadísticas
sanitarias; economía de la salud; coste de la vida. (Fuente: Tesauro UNESCO).
Research articles
section
INTRODUCTION
Chronic kidney disease (CKD) is a very common
pathology in critical care units affecting more than 10% of the adult
population worldwide, with the need for a type of replacement therapy such as
dialysis or kidney transplantation (Naber & Purohit, 2021). The global
five-year survival rate is less than 50%. 10% of patients die in the first 90
days after dialysis transition and more than 20% in the first year
(Kalantar-Zadeh, et al. 2020).
At the Latin American level, the impact of the
problem is evident in the morbimortality figures, which relate cardiovascular
diseases to renal failure. In a progressive, asymptomatic manner it usually
arises early and when it presents multiple symptoms, the pathology progresses
to a chronic stage. Renal replacement therapy is the only alternative through
dialysis and/or kidney transplantation. An increase in the incidence of chronic
renal failure is evidenced, by an average of 267 per million inhabitants (Matos-Trevín, et al. 2019).
The determinant diagnostic parameters of CKD are
serum creatinine and glomerular filtration rate (GFR), in particular, the
latter which is reflected through its deterioration with the result in
acid-base and hydroelectrolyte balance in the
critically ill patient (Gutiérrez-Parra, et al. 2019). Therapy is
indicated in cases with renal failure who develop fluid overload, hydroelectrolytic alterations and uremic signs due to
reduced glomerular filtration rate. Hemodialysis treatment is performed by
means of vascular accesses such as the central venous catheter (CVC) whether
temporary or permanent and the arteriovenous fistula which is associated with
lower mortality as opposed to the CVC (Álvarez-Ramírez, et al. 2021).
The aim of this study was to determine the factors
related to the survival of patients who started hemodialysis in the critical,
critical surveillance and intensive care areas of the Hospital General Guasmo
Sur, Ecuador.
METHOD
A cross-sectional quantitative study was carried out
with a measurement by clinical histories; it was observational, with no
intervention by the researcher; analytical, corresponding to the relational
level. Epidemiological design.
The study population consisted of 193 patients
hospitalized from June 2021 to May 2022 in the critical areas of the Intensive
Care Unit (ICU) and Emergency Critical Monitoring at the Hospital General
Guasmo Sur, Ecuador.
Inclusion criteria were considered to be the
following: adults from 18 years of age, people with stage 5 chronic kidney
disease who started hemodialysis for the first time at the Hospital General del
Guasmo Sur. The entire population that met the selection criteria was included.
The following were excluded from the study: patients
with renal transplant, stage 5 chronic kidney disease patients who received
peritoneal dialysis, people who started renal replacement therapy referred to
the hospital center, participants who had intermittent treatment in external
providers, people with acute and chronic kidney disease up to stage 4.
Data collection was achieved by means of the
clinical case history that includes the variables:
a)
Related factors: numerical and categorical type, it was measured by the
aspects below;
b)
Social: sex, age, drug use.
c)
Clinical: coexisting pathologies, nutritional status, days of
hospitalization.
d)
Laboratory tests: serum levels of determinants per blood since admission
of hemoglobin(g/dl), albumin(mg/dl), leukocytes (u/mm^3), serum potassium (mmEq/L), glucose (mg/dl), creatinine(mg/dl), blood urea
nitrogen (BUN per mg/dl) and urea (mg/dl).
e)
Hemodialysis: session time, type of vascular access.
f)
Survival: categorical type measured by discharge condition: alive or
deceased (with cause of death).
For data processing, a database was created by
tabulation with the Excel tool (Windows 2019 version) and IBM SPSS V28. The
analysis was constructed for the qualitative variables with the values for
absolute or relative frequencies with percentages in living and deceased
patients, by the mean and by the Chi-square test. The numerical variable was
determined with the mean, interquartile range (IQR) and standard deviation with
Mann-Whitney U test to compare the numerical variable. Survival was analyzed by
the Kaplan-Meier method to determine the factors related to survival using the
95% confidence interval. A value of p<0.05 was considered significant.
As a limitation of the study, the number of patients
during 12 months in a short period of time was considered; data from
complementary imaging examinations, water balance of dialysis patients were not
evaluated; it was incomplete with regard to demographic factors (location of
urban or rural housing) and economic factors (nephrological follow-up and
adhered pharmacological treatment) that influenced the maintenance of the
therapeutic regimen despite the existence of a margin of bias; and finally,
cardiac arrest as cause of death in cardiac affections without other
pathologies to be mentioned.
Ethical principles were respected at all times,
there was confidentiality of the data collected, in conjunction with the
coordination of the Department of Statistics and Teaching, the clinical history
of the SIGHOS system of the Hospital General Guasmo Sur was managed, patients
were selected who met the inclusion criteria and consent was obtained by the
Hospital Management, with the requirements approved in advance.
RESULTS
The
results of the research are presented:
Table
1. Aspects related to survival in patients who
started hemodialysis according to clinical condition in Hospital Guasmo Sur
(Ecuador).
VARIABLES |
FALLECIDOS 59 |
VIVOS 134 |
TOTAL 193 |
VALOR P |
|||
No. |
% |
No. |
% |
No. |
% |
||
Sexo |
|||||||
Hombres |
40 |
68% |
85 |
63% |
125 |
65% |
0,56 |
Mujeres |
19 |
32% |
49 |
37% |
68 |
35% |
|
Edad (años)* |
61 (33-82) |
51 (17-78) |
17 (47-64) |
<,001 ++ |
|||
Consumo de droga |
|||||||
Alcohol |
4 |
7% |
2 |
1% |
6 |
3% |
0,12 |
Tabaco |
0 |
0% |
3 |
2% |
3 |
2% |
|
Otros |
0 |
0% |
2 |
1% |
2 |
1% |
|
No refiere |
55 |
93% |
127 |
95% |
182 |
94% |
|
Valoración nutricional |
|||||||
Desnutrición |
0 |
0% |
7 |
5% |
7 |
4% |
0,32 |
Normopeso |
21 |
36% |
41 |
31% |
62 |
32% |
|
Sobrepeso |
23 |
39% |
54 |
40% |
77 |
40% |
|
Obesidad |
15 |
25% |
32 |
24% |
47 |
24% |
|
Días de
Hospitalización* |
15 (2-51) |
21 (3-71) |
19 (9-25) |
<,001++ |
|||
Patologías coexistentes |
|||||||
Hipertensión arterial |
|||||||
Sí |
40 |
68% |
95 |
71% |
135 |
70% |
0,66 |
No |
19 |
32% |
39 |
29% |
58 |
30% |
|
Cardiopatía isquémica |
|||||||
Sí |
12 |
20% |
26 |
19% |
38 |
20% |
0,88 |
No |
47 |
80% |
108 |
81% |
155 |
80% |
|
Diabetes Mellitus |
|||||||
Sí |
20 |
34% |
84 |
63% |
104 |
54% |
<,001 |
No |
39 |
66% |
50 |
37% |
89 |
46% |
|
Evento Cerebro Vascular |
|||||||
Sí |
7 |
12% |
5 |
4% |
12 |
6% |
0,03 |
No |
52 |
88% |
129 |
96% |
181 |
94% |
|
Tuberculosis |
|||||||
Sí |
2 |
3% |
10 |
7% |
12 |
6% |
0,31 |
No |
57 |
97% |
124 |
93% |
181 |
94% |
|
COVID |
|||||||
Sí |
21 |
36% |
8 |
6% |
29 |
15% |
<,001 |
No |
38 |
64% |
126 |
94% |
164 |
85% |
|
VIH |
|||||||
Sí |
0 |
0% |
5 |
4% |
5 |
3% |
0,13 |
No |
59 |
100% |
129 |
96% |
188 |
97% |
|
Tipo de acceso vascular |
|||||||
Catéter venoso
central permanente |
0 |
0% |
5 |
4% |
5 |
3% |
0,13 |
Catéter venoso
central temporal |
59 |
100% |
129 |
96% |
188 |
97% |
|
Tiempo de
sesión de hemodiálisis (horas)* |
2,5 (2,0-3,4) |
2,6 (2,0-4,0) |
0,7 (2,3-3,0) |
0,21 ++ |
|||
Valores de Laboratorio* |
|||||||
Recuento de
leucocitos (u/mm3) |
16,4+/-9,4 |
13,1+/-8,0 |
14,1+/-8,0 |
0,005 ++ |
|||
Hemoglobina
(mg/dl) |
10,8+/-3,6 |
9,2+/-2,2 |
9,7+/-2,8 |
0,03 ++ |
|||
Albúmina
(mg/dl) |
10,0+/-51,4 |
3,3+/-0,9 |
5,4+/-28,4 |
0,95 ++ |
|||
Glucosa en
ayunas (mg/dl) |
161,4+/-116,2 |
146,1+/-83,2 |
150,8+/-94,5 |
0,32 ++ |
|||
Potasio sérico |
4,8+/-0,9 |
5,0+/-1,0 |
5,0+/-0,9 |
0,18 ++ |
|||
BUN |
71,7+/-37,9 |
74,1+/-36,6 |
73,3+/-36,6 |
0,73 ++ |
|||
Creatinina |
5,8+/-5,7 |
8,0+/-36,6 |
7,3+/-5,4 |
<,001 ++ |
|||
Urea |
147,8+/-83,1 |
162,5+/-77,7 |
158,0+/-79,5 |
0,13 ++ |
|||
Causas de defunción |
|||||||
Sepsis |
25 |
42% |
0,48 |
||||
Problemas
cardíacos |
34 |
58% |
|||||
Cáncer en
etapa terminal |
0 |
0% |
* Mean; +/- standard
deviation; IQR (Interquantile Rank) ++ Manh-Witney U.
Source:
Own elaboration.
We found 193 patients
hospitalized during the 12-month period who started hemodialysis for the first
time during their hospital stay. It was determined by variables, corresponding
to the age of the total population group with a RIC of 17 minimum of 47 and
maximum of 64, in the living patients the mean of 51 years predominated. The
94% of the universe, did not report drug use as a habitual history. There was a
difference of 40% with overweight corresponding to the nutritional assessment.
HT existed in 70% as a pathology associated with the total group and did not
develop in 30% of the sample studied, in the deceased patients it represented
68% and pneumonia due to COVID-19 represented 36% of the deaths (Table 1).
Graph 1. Kaplan Meier plot for survival in days of
hospitalization in the study population.
Source: Own elaboration.
The temporary central venous catheter was the most commonly
used for renal patients in critical areas, representing 97% of the vascular
accesses, except for the permanent central venous catheter, which occupied 3%
of those affected and dialysis was not applied through arteriovenous fistula.
The average time in dialysis therapy of the survivors was 2.6 hours with a
minimum of 2 and a maximum of 4 hours (Graph 1).
In addition, the days of hospitalization were
evaluated, with an average of 21 days in the living patients, with the total
sample showing 19 days of ICR. The laboratory parameters with the highest
mortality figures were leukocyte count of 16.4 +/- 9.4 and fasting glucose of
161.4 +/- 116.2 with the highest standard deviation. The prevailing cause of
death was cardiac alteration which occupied 58%. The maximum of the surviving
population was 71 days of hospitalization and a minimum of 3 days. From the second
day to the first 51 days, 59 deaths were recorded with an average of 15 days.
The RIC of the population studied was 19 days with a minimum of 9 and a maximum
of 25 days, as shown in the following figure the survival function (Figure 1).
DISCUSSION
In a study among 291 Intensive
Care Units in France, dialysis with intermittent frequency at the beginning of
therapy evidences a decrease in rehabilitation of renal function (Bonnassieux, et al. 2018). Unlike that, the
frequency of therapy has no relationship in survival because at the beginning
it is on a daily basis, and becomes tri-weekly subsequent to patient assessment
to the set in laboratory parameters with favorable ranges.
With analysis in a hospital in
Cusco-Peru, has lower survival people who presented left atrial dilatation
evidenced by echocardiography imaging tests (Loaiza-Huallpa, et al.
2019). So much so that, it does not compare with the imaging exams that were
reported incomplete in the sample history, despite highlighting the 20% with
ischemic heart disease in deceased patients.
There is a delimiting factor
in the clinical history of the patient's economic situation, which closely
influences adherence and treatment management. Therefore; a late referral to
the external provider and domicile are major risk factors for death in the
first three months of dialysis initiation (Fouda, et al. 2017). It is
appreciated that the cause of death were cardiac problems and sepsis, compared
to the study of (Ganguli, et al. 2022), which reveals the causes of
death by uremia, therefore, catheter sepsis related to the large number of
patients present poor adherence to treatment because they reside in areas far
from the city.
On the other hand; it is
explained that chronic renal patients in stage 5 increase mortality in
hemodialysis with the conditions of: advanced age, diabetes mellitus and renal
failure without the possibility of transplantation (Pinares-Astete, et al.
2018). Likewise, it is highlighted that the most frequent pathology is arterial
hypertension in the numbers of deceased patients, with an older age group, in
contrast, with the living patients who started hemodialysis.
In contrast, total white blood
cell count, red blood cell count and serum albumin
influence the survival time of hemodialysis patients. Hyperglycemia,
leukocytosis, uremia, and exorbitant BUN, creatinine, and albumin values
predominate in the deceased patients, in contrast to the patients who survived
(Ebrahimi, et al. 2019).
CONCLUSION
It was reported that there is a high relation of
survival with conditional factors, 46% of the sample were deaths that presented
cardiac involvement predominant in the cause of death, therefore sepsis.
Regarding social conditions, the most affected sex was the male gender,
therefore, age was unable to influence survival. For drug use, it was reported
that the highest frequency predisposed to death with inequality in living
patients who had less exposure to the risk agent. Related to nutritional
status, the surviving population was overweight 40%, consequently, to normal
weight 31% and obesity 24%. The clinical condition related to concomitant
diseases such as arterial hypertension was 71% in the living renal patients, in
addition to diabetes mellitus which occupied 63% of those who did present,
followed by ischemic heart disease with 19%, tuberculosis 7%, COVID 6%,
cerebrovascular event and HIV with 4%. The type of vascular access was not
related to the cause of death recorded because 97% of the universe used a
temporary central venous catheter. In living patients, the average time spent
in dialysis sessions was 2.6 hours, with a minimum of 2 and a maximum of 4
hours. The average length of hospital stay in the survivors was 21 days, with a
range of 3 to 71 days.
FINANCING
Non-monetary
CONFLICT
OF INTEREST
There is no conflict of
interest with persons or institutions related to the research.
ACKNOWLEDGMENTS
Universidad Regional Autónoma de Los Andes.
UNIANDES, Ambato - Ecuador.
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