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S I N G A P O R E M E D I
C A L J O U R N A L
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ONE
Does Heart Rate Really Predict Survival in Septic Shock?
M Sukavejvorakit, K Tantivitayatan
ABSTRACT
Background: Normalisation of heart rate after 24 hours of treatment
is proposed to predict the survival outcome in septic shock patients.
Methods: The medical and surgical patients charts from 1991-1993
were selected for the diagnosis of septic shock (according to the definition
of ACCP/SCCM Consensus Conference), and reviewed. Also included were patients
with available variables to complete APACHE II and septic severity score.
Results: Tachycardia was observed more in the non-survivors
(9 patients) both in shock (107.8 vs 93.4) and non-shock states (112.3
vs 93.2). Heart rate in the survival group decreased below the cut-off
value, which is 95 beats/min, as specified by ACCP/SCCM. Comparison between
APACHE II and SSS was not well correlated because of the small sample size.
Elements in creating a predictor and its categorisation are mentioned.
Conclusion: Heart rate was concluded to be a simple predictor
reflecting physiologic derangements in septic shock. It is recommended
that further
study needs to be carried out to unravel a predictor of clinical value
in terms of practicality, especially that involving the inflammatory aspect
of the disease process.
Keywords: septic shock, APACHE II, septic severity score (SSS)
INTRODUCTION
Septic shock is perceptibly a leading cause of death in intensive care
units (ICU) with mortality rate over 50%(1).
Its pathogenesis is so complicated that the specific treatment is still
under investigations. Three goals of current therapy are: 1) to eradicate
the organism with antibiotics and to remove the source of infection where
appropriate; 2) to administer agents that neutralize exogenous and endogenous
toxic substances, and 3) to provide supportive care for multiple organ
systems involved(2).
Last but not least, the goals theoretically comprise full-time critical
care, cardiac rhythm and intra-arterial monitorings, right heart catheterisation,
fluid resuscitation and pressor agents. Thus a growing demand for intensive
treatment has been unveiled and physicians are more or less reluctant to
initiate such sophisticated procedures. Assessment of the disease process
regarding the survival outcome is an approach to relieve and help guide
decision making.
Many scoring systems have been developed; the two popular ones are acute
physiology score and chronic health evaluation (APACHE) and septic severity
score (SSS)(3). Parker
et al has identified heart rate (HR), systemic vascular resistance (SVRI)
and cardiac index (CI) to be prognostic in this subset of critically ill
patients(4). It is
interesting to note that heart rate and the basic vital signs, can have
predictive capabilities, and if any, will simply contribute to septic shock
management amidst tubes, wires and advanced devices.
The objectives of the study were to detect heart rate alterations and
to assess the two scoring systems in predicting survival in septic shock.
MATERIALS AND METHODS
Charts of septic shock patients admitted to both medical and surgical
wards and later moved to ICU during the period 1991-1993, were reviewed.
Selection criteria were as follows:
1) Diagnosis of septic shock according to ACCP/SCCM Consensus
Conference(5) - sepsis
is defined as the systemic response to infection, manifested by two or
more of the following conditions as a result of infection:
i) temperature > 38oC or < 36oC;
ii) HR > 90 beats/min;
iii) respiratory rate > 20 breaths/min or PaCo2. < 32 mmHg;
and
iv) white blood cell count > 12,000/cells/mm3, < 4,000/cells/mm3
or > 10% immature (band) forms.
Septic shock is defined as sepsis-induced hypotension despite adequate
fluid resuscitation along with the presence of perfusion abnormalities
that may include, but are not limited to lactic acidosis, oliguria, or
an acute alteration in mental status. Patients who are receiving inotrope
or vasopressor agents may not be hypotensive at the time that perfusion
abnormalities are measured.
2) Available parameters to complete the two scoring systems.
3) On dopamine at low doses (< 5 microgram/kg/min) - there
were 7 patients in the survival group and 9 in the non-survival group.
A total of 152 measurements of HR and blood pressure were analysed. Heart
rate is usually measured by palpating the peripheral pulse for one minute
and by listening to the korotkoff sounds for blood pressure. Data were
collected twice:
i) at initial diagnosis of septic shock and
ii) 24 hours later when inclusion criteria exceeded the norm.
Means and standard deviations were calculated for certain parametric data,
and unpaired Student t-test performed was statistically significant at
p < 0.05.
RESULTS
Both survival and non-survival groups were similar in average ages
[64.6 (7) vs 67.3 (12.8) years], systolic (SBP) and diastolic blood pressures
(DBP), HR, APACHE II and SSS at initial diagnosis (Tables
I and II). After 24 hours, tachycardia
was observed in more of the non-survivors (than survivors) who were either
in shock or non-shock state [107.8 (20.7/min) and 112.3/min (24.8/min)
respectively] (Table II). It was also
noted that HR in the survivors did normalise from 96.0/min (19.0/min) to
around 93/min. When the mean arterial ptessure (MAP) was above 60 mmHg,
the non-survivors had lower blood pressure than the survivors (101.1/59.7
mmHg vs 123.5/73.2 mmHg). The distribution of HR changes associated with
survival outcome did not show any correlation between the two scoring systems,
nor imply any predictive power for the outcome.
DISCUSSION
It was demonstrated that septic shock, a form of distributive shock,
has normal or increased cardiac output (CO) during the early phase of the
disease and a decreased ejection fraction due to myocardial depression
and biventricular dysfunction when hypotension supervenes. To compensate
this defect, the left ventricle (LV) dilates to maintain the stroke volume
by the Frank-Starling mechanism. Non-survivors in the study were hypothesised
to have less LV dilatation, thus they depended on increased HR. When HR
can no longer maintain CO, the patients succumbed(2).
Since the study of HR time-course might be misinterpreted by the effect
of cardiotonic drugs, we excluded measurements of HR that were recorded
when higher doses of dopamine of greater than 5 microgram/kg/min was prescribed,
the level of which exerts tachycardia(6).
After 24 hours of therapy, the non-survivors were observed to be more tachycardic,
MAP > 60 mmHg; the reflex response from the lower blood pressure probably
accounted for this. However, HR changes in the survivors - similar to those
described by Parker et al, decreased below the cut-off value of 95/min.
In addition, Parker also found a HR difference from baseline of >18 beats/min
to predict survival(4).
Our results derived in such a routine manner underscored the works
of Parker and Parillo, and thus confirmed that the lower HR after 24 hours
of treatment in septic shock patients is possibly predictive of recovery
but persistence of hyperdynamic state increases the lethal likelihood(7,8).
In 1982, Knaus et al developed acute physiology score (APS) for classifying
patients admitted into the ICU; the system was later modified to APACHE
II and III(9). As
34 physiological variables were examined, the system is renowned for use
in the general population despite exempting a certain group of patients
like burns or patients under 16 years of age. APACHE II score above 30
was cited to predict 70% mortality, while SSS above 40 was associated with
80% mortality(3).
Both systems correlated well, but were not discernible in this study, perhaps
due to the small sample size. Upon completion of the scores, dozens of
patients were excluded because of missing contemporary data. This is because
collecting blood for arterial blood gas and coagulogram are not practised
by the authors. Rather than collecting scores only on the first day of
diagnosis, follow-up scoring would improve prognostic accuracy.
Schuster mentioned 8 important elements in creating a useful predictor(10);
they are:
1) Predictors ideally for general population;
2) With definite outcome, preferably biologic one like mortality
in the hospital;
3) Commensurate data collection to derive appropriate variables;
4) Simplification for use such as scoring techniques;
5) Relating predictors to outcome mostly by regression technique
to obtain an equation;
6) Validating predictors with actual outcome;
7) Timely predictor used;
8) Predictors that can be updated.
HR changes reflect physiologic derangements. So far, we have overlooked
the great facet of septic shock, which is the inflammatory process. Predictors
concerning this aspect are acute phase proteins such as alpha-1-acid glycoprotein,
alpha-1-antitrypsin, complement factor B, complement factor 3, etc.(3).
The non-survivors were found to have higher levels of the abovementioned.
However precise these predictors are, the data acquisition is so costly
that it is impractical.
Like most clinicians, we initially treated patients in septic shock
with crystalloids, guided by the haemodynamic response, urine output, peripheral
tissue perfusion and if possible, central venous pressure of the patient.
If MAP cannot be maintained above 60 mmHg, then inotropic and vasopressor
agents will be prescribed. Heart rate lowering is primarily viewed as a
response to adequate fluid resuscitation; patients with reduced tachycardia
usually do well. From the classification
of ICU predictors(10),
HR is categorised not only as a physiologic derangement, but also as a
response to therapy. Further researches and clinical trials need to be
conducted to challenge its predictive potentiality with regards to its
accuracy, affecting factors and lack of thorough insights into the inflammatory
process.
The presented data support the notion that HR predicts the outcome of
septic shock. Whether it is of clinical value would confer a simple tool
in critical management.
ACKNOWLEDGMENTS
We thank Dr Kamthorn Tantivitayatan (Anesthesiology Section, Sawanpracharak
Hospital, Nakornsawan) for the computer and statistical works.
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