COMPARATIVE EVALUATION OF PROCALCITONIN AND SERUM LACTATE AS PROGNOSTIC BIOMARKERS IN SEPSIS

Authors:
  • Lingam Sridhar , Professor, Department of General Surgery, Apollo Institute of Medical Sciences and Research, Hyderabad, India
  • Rohit K Phadnis , Professor, Department of General Surgery, Apollo Institute of Medical Sciences and Research, Hyderabad, India
  • M.S. Samhita , Resident, Department of General Surgery, Apollo Institute of Medical Sciences and Research, Hyderabad, India
  • Dubakula Baby Vaishnavi , Undergraduate, Apollo Institute of Medical Sciences and Research, Hyderabad, India.

Article Information:

Published:November 28, 2025
Article Type:Original Research
Pages:6598 - 6605
Received:October 13, 2025
Accepted:November 20, 2025

Abstract:

Background: Sepsis represents a critical medical emergency characterized by significant rates of morbidity and death within intensive care settings. While clinical scores like SIRS, qSOFA, SOFA and APACHE II aid in risk assessment, their feasibility is limited in some settings. Serum lactate reflects tissue hypoxia, and procalcitonin indicates infection severity, but their prognostic superiority remains unclear. Hence, this study aimed to compare serum lactate and procalcitonin to identify the better prognostic biomarker in ICU patients with sepsis. Methods: A retrospective record-based cross-sectional study was conducted in patients diagnosed with sepsis by SIRS criteria. We measured serum procalcitonin and serum lactate levels to investigate their association with disease prognosis, as determined by the qSOFA score. Results: A total of 118 patients were screened, of whom 21 were excluded based on predefined exclusion criteria, and 97 patients were included in the final analysis. The study population consisted of 58 men (59.8%) and 39 women (40.2%), with a mean age of 52.4 ± 14.8 years. Serial measurements demonstrated a significant decline in both procalcitonin (PCT) and serum lactate levels over time (p < 0.001). PCT showed a progressively strengthening correlation with qSOFA scores, reaching statistical significance from day 3 onward (day 3: r = 0.263, p = 0.010; day 5: r = 0.261, p = 0.010; day 7: r = 0.276, p = 0.007), while no significant correlation was observed at admission. The strongest correlation was noted between PCT on day 5 and qSOFA on day 7 (r = 0.342, p = 0.001). A modest association was also observed between PCT, and total leukocyte count at admission (r = 0.209, p = 0.041). In contrast, serum lactate demonstrated weak and inconsistent correlations. ROC analysis showed improving prognostic performance of PCT, with AUC increasing from 0.543 to 0.662 (p < 0.001), whereas serum lactate showed poor discrimination (AUC 0.458– 0.518; p > 0.05). Higher qSOFA scores were consistently associated with elevated PCT levels. Conclusion: Procalcitonin demonstrated relatively better prognostic performance than serum lactate and may aid in severity assessment and clinical judgement in sepsis.

Keywords:

Sepsis Serum lactate Procalcitonin SIRS criteria qSOFA score

Article :

INTRODUCTION:

Sepsis is characterized as a dangerous failure of organ systems resulting from a patient's irregular immune reaction to an infection. This medical condition encompasses a range of severity, from initial sepsis to septic shock, and continues to be a primary driver of Intensive Care Unit (ICU) admissions and global mortality. Pathophysiologically, a disruption in the equilibrium between pro-inflammatory and anti-inflammatory pathways triggers widespread cytokine release and the activation of coagulation and complement cascades, resulting in microcirculatory impairment and eventual multiorgan failure (1,2). During septic shock, impaired oxygen delivery relative to cellular demand forces tissues to switch from oxidative  phosphorylation to anaerobic glycolysis and subsequent lactate production. (3,4)

 

Historically, sepsis diagnosis relied on the Systemic Inflammatory Response Syndrome (SIRS) framework, which required ≥2 of the following abnormalities: temperature >38 °C or <36 °C, heart rate >90 beats/min, respiratory rate >20 breaths/min or PaCO <32 mmHg, and deranged white blood cell count (>12,000/mm³, <4,000/mm³, or >10% immature forms). Despite its clinical utility, SIRS has limited specificity for outcome prediction. Subsequently, the Sepsis-3 consensus shifted focus to organ dysfunction, operationalized through a Sequential Organ Failure Assessment (SOFA) score increase of ≥2 points as the diagnostic threshold for sepsis. As a practical bedside adjunct, the quick SOFA (qSOFA) tool was introduced, comprising three parameters — reduced level of consciousness (GCS below 15), elevated respiratory rate (≥22/min), and low systolic blood pressure (≤100 mmHg) — with a score of ≥2 signalling heightened risk of adverse outcomes.(5)

 

Risk stratification systems such as the Sequential Organ Failure Assessment (SOFA) and Acute Physiology and Chronic Health Evaluation II (APACHE II) are commonly employed to estimate disease severity and assess mortality risk. However, these scoring systems require multiple clinical and laboratory parameters and may not always be feasible in emergencies or resource- limited settings. (6)

 

Serum lactate functions as a sensitive, though non-specific, marker of tissue oxygen insufficiency and cellular metabolic disturbance. Elevated lactate levels typically arise from impaired oxygen consumption, enhanced anaerobic metabolic activity, and reduced hepatic and renal clearance.(3) Given that rising lactate concentrations correlate with increased mortality, repeated lactate monitoring has been incorporated into sepsis resuscitation bundles as a means of tracking treatment response.(3,4,6)

 

Additionally, procalcitonin (PCT), the biochemical precursor to calcitonin, rises during systemic bacterial infections and serves as a reflection of the severity of organ dysfunction and the inflammatory response (2,7,8). Furthermore, serial assessment of procalcitonin (PCT) levels during intensive care unit stay may offer valuable prognostic insights into patient outcomes. (9,10,11)

 

Notwithstanding their routine clinical application, the question of which biomarker holds superior prognostic value in sepsis remains unresolved. The present study was therefore designed to directly compare the prognostic utility of serum lactate and PCT, examining their temporal kinetics throughout the ICU stay, with the aim of identifying the more reliable marker for outcome prediction in critically ill sepsis patients.

 

OBJECTIVE

To compare the prognostic utility of serum lactate and procalcitonin levels in predicting disease severity in patients with sepsis

 

MATERIALS AND METHODS:

This retrospective, record-based cross-sectional study was conducted in the medical and surgical ICUs of Apollo General Hospital, Hyderabad, India. The study was initiated after approval by the Institutional Research Committee of AIMSR. As this was a record-based study, previously documented clinical and laboratory data were analyzed.

 

Study eligibility was assessed for 118 individuals aged ≥18 years who were hospitalized in medical or surgical ICUs with sepsis during the period from June 2024 to June 2025. Patients were categorized as having sepsis if they met the SIRS criteria in addition to having a presumed or documented infection.

 

 

Inclusion criteria for the study comprised adults aged 18 years or above, of any sex, admitted to the ICU with sepsis fulfilling SIRS parameters. To be eligible, patients also required documented assessments of specific serum biomarkers, namely lactate and procalcitonin, both at the point of ICU admission and throughout the duration of their hospitalization.

 

Exclusion criteria for the study comprises of patients with incomplete or missing clinical or laboratory data, those who had undergone recent major surgery, those with severe trauma, extensive burns, severe hepatic dysfunction, metabolic disorders, or seizures and those with conditions that could independently influence serum lactate and procalcitonin levels.

 

Of the 118 patients initially screened, 21 were subsequently excluded based on the predefined criteria. Thus, the final analysis comprised 97 patients.

 

At the point of admission, baseline clinical were recorded for each patient, encompassing  vital signs (including blood pressure, heart rate, respiratory rate, and body temperature), total leukocyte count, and Glasgow Coma Scale (GCS) values. Initial qSOFA scores were also determined at this stage. Laboratory evaluations for serum procalcitonin and lactate were completed within the first 24 hours of admission, followed by periodic reassessments of all clinical variables on hospital days 3, 5, and 7. All statistical computations were performed using IBM SSPS Statistics, version 24.0.

 

DATA ANALYSIS

Continuous variables are reported as mean ± standard deviation accompanied by 95% confidence intervals (CI), while categorical variables are presented as  frequencies and percentages. To evaluate the relationships between PCT, serum lactate, qSOFA scores, and total leukocyte count (TLC), the Pearson correlation coefficient was utilized. The prognostic accuracy of these biomarkers was measured through receiver operating characteristic (ROC) curve analysis. Furthermore, area under the curve (AUC) values were calculated, and the Youden index was applied to establish optimal diagnostic cut-off thresholds. Statistical significance was set at a two-tailed p-value of less than 0.05.

RESULTS:

Of 118 patients screened, 97 met the eligibility criteria and were included in the analysis after 21 patients were omitted by established exclusion criteria. The baseline demographic and clinical data  are presented in Table 1. The study group  had a mean age of 52.4 ± 14.8 years and was predominantly male (59.8%). At admission, the mean systolic blood pressure was 124.6 ± 18.2 mmHg, respiratory rate was 22.4 ± 4.1 breaths/min, and Glasgow Coma Scale score was 14.1 ± 1.2. The mean qSOFA score was 1.64 ± 0.72. The baseline biomarker levels were as follows: procalcitonin (PCT) 17.8 ± 9.4 ng/mL, serum lactate 2.8 ± 1.1 mmol/L, and total leukocyte count (TLC) 16.84 ± 7.21 ×10³/L.

 

Serial measurements showed a significant decline in both PCT and serum lactate levels over 7 days (Table 2). PCT decreased from 17.82 ± 9.45 ng/mL at admission to 6.42 ± 3.24 ng/mL on day 7, and serum lactate declined from 2.84 ± 1.12 mmol/L to 1.43 ± 0.51 mmol/L (both p < 0.001), indicating a consistent temporal reduction.

 

PCT demonstrated a progressively stronger, though weak-to-moderate, correlation with the qSOFA score over time. (Table 3). Although the association at admission was not significant (r = 0.165, p = 0.106), significant

 

 

Table.1 Distribution of Demographic Variables and Admission Vitals in Sepsis Patients (N=97)

Variable

Mean ± SD / Frequency (%)

Age (Years)

52.4 ± 14.8

Gender (Male/Female)

58 (59.8%) / 39 (40.2%)

Systolic BP (mmHg)

124.6 ± 18.2

Respiratory Rate (bpm)

22.4 ± 4.1

GCS Score

14.1 ± 1.2

Admission PCT (ng/mL)

17.8 ± 9.4

Admission Serum lactate (mmol/L)

2.8 ± 1.1

Admission TLC (103/L)

16.84 ± 7.21

Mean qSOFA (Admission)

1.64 ± 0.72

SD: Standard Deviation; BP: Blood Pressure; GCS: Glasgow Coma Scale; PCT: Procalcitonin TLC: Total Leucocyte Count.

 

Table.2 Longitudinal Analysis of Serum Procalcitonin and Serum lactate Levels Over Seven Days

Time Point

Procalcitonin (ng/mL)

Serum lactate (mmol/L)

Admission

17.82 ± 9.45

2.84 ± 1.12

Day 3

11.41 ± 6.82

2.12 ± 0.94

Day 5

8.25 ± 4.51

1.81 ± 0.72

Day 7

6.42 ± 3.24

1.43 ± 0.51

P-value (Trend)

< 0.001

< 0.001

NOTE: p-values calculated using Repeated Measures ANOVA with Greenhouse-Geisser correction for violation of sphericity

 

 

 

 

 

Table 3. Correlation between PCT and qSOFA on the day of admission, day 3, day 5 and day 7 of hospitalisation

 

 

qSOFA

(day 0)

qSOFA

(day 3)

qSOFA

(day 5)

qSOFA

(day 7)

 

PCT

(day 0)

r

0.165

0.219*

0.215*

0.184

p

0.106

0.031

0.034

0.074

N

97

97

97

97

 

PCT

(day 3)

r

0.149

0.263**

0.236*

0.215*

p

0.147

0.010

0.020

0.037

N

97

97

97

97

 

PCT

(day 5)

r

0.020

0.207*

0.261**

0.342**

p

0.848

0.042

0.010

0.001

N

97

97

97

97

PCT

(day 7)

r

-0.035

0.175

0.185

0.276**

p

0.732

0.087

0.070

0.007

N

97

97

97

97

r: Pearson coefficient, p: p-value, N: Sample size

Table 4. Correlation between Serum lactate and qSOFA on the day of admission, day 3, day 5 and day 7 of hospitalization

 

 

qSOFA

(day 0)

qSOFA

(day 3)

qSOFA

(day 5)

qSOFA

(day 7)

Serum lactate (day 0)

r

0.103

0.107

0.129

0.018

p

0.315

0.298

0.209

0.866

N

97

97

97

97

Serum lactate (day 3)

r

0.061

0.198

0.125

0.036

p

0.556

0.052

0.221

0.730

N

97

97

97

97

Serum lactate (day 5)

r

0.087

0.149

0.135

0.054

p

0.399

0.145

0.186

0.604

N

97

97

97

97

Serum lactate (day 7)

r

0.136

0.206*

0.161

0.037

p

0.183

0.043

0.116

0.721

N

97

97

97

97

r: Pearson coefficient, p: p-value, N: Sample size

 

 

 

 

 

 

 

 

 

 

correlations emerged on day 3 (r = 0.263,  p = 0.010) and day 5 (r = 0.261, p = 0.010), with the strongest correlations observed on PCT on day 5 and qSOFA on day 7(r=0.334, p=0.001).Additionally, a significant correlation was maintained between PCT and qSOFA both on day 7(r=0.276, p=0.007).   

 

In contrast, serum lactate levels showed no consistent correlation with qSOFA scores (table 4), with only an isolated weak association observed between serum lactate measured on day 7 and the qSOFA on day 3(r= 0.206, p = 0.043), while all other comparisons were non-significant. (p>0.05).

 

TLC demonstrated weak and inconsistent correlations with PTC (Table 5), reaching statistical significance only upon admission (r = 0.209, p = 0.041). No significant association was observed between serum lactate levels and TLC at any time point (Table 6; all p > 0.05).

Patients with abnormal qSOFA scores consistently had higher mean PCT levels than those with normal scores across all time points (table 7), with differences evident at admission (22.61 vs. 17.44 ng/ml) a persisting through day 7(6.56 vs. 5.40ng/ml).

Receiver operating characteristic analysis demonstrated an improvement in the prognostic performance of PCT over time (Table 8). The area under the curve increased from 0.543 at admission (p = 0.296) to 0.662 on day 7 (p < 0.001), with a sensitivity of 100% and specificity of 32.6% on day 7(Figure. 1). In contrast, serum lactate showed poor discriminative ability at all time points (Table 9), with AUC values ranging from 0.458 to 0.518

 

Table 5. Correlation between PCT and TLC on the day of admission, day 3, day 5 and day 7 of hospitalisation

 

 

TLC

(day 0)

TLC

(day 3)

TLC

(day 5)

TLC

(day 7)

 

PCT

(day 0)

r

0.209*

0.177

0.023

0.112

p

0.041

0.085

0.824

0.278

N

97

97

97

97

 

PCT

(day 3)

r

0.166

0.170

0.048

0.182

p

0.108

0.099

0.643

0.080

N

97

97

97

97

 

PCT

(day 5)

r

0.040

0.118

0.088

0.169

p

0.699

0.252

0.393

0.101

N

97

97

97

97

 

PCT

(day 7)

r

- 0.033

0.002

0.038

0.083

p

0.747

0.982

0.714

0.424

N

97

97

97

97

r: Pearson coefficient, p: p-value, N: Sample size

Table 6. Correlation between Serum lactate and TLC on the day of admission, day 3, day 5 and day 7 of hospitalization

 

 

TLC

(day 0)

TLC

(day 3)

TLC

(day 5)

TLC

(day 7)

Serum lactate (day 0)

r

0.005

0.074

0.073

0.033

p

0.962

0.472

0.478

0.751

N

97

97

97

97

Serum lactate (day 3)

r

-0.105

-0.088

0.024

-0.018

p

0.307

0.393

0.817

0.865

N

97

97

97

97

Serum lactate (day 5)

r

-0.053

0.014

0.051

-0.002

p

0.605

0.889

0.623

0.986

N

97

97

97

97

Serum lactate (day 7)

r

0.015

0.112

0.196

0.121

p

0.882

0.275

0.055

0.241

N

97

97

97

97

r: Pearson coefficient, p: p-value, N: Sample size

Table 7: Comparison of Mean Serum Procalcitonin levels Across qSOFA Score categories on the day of admission, Day 3, Day 5, and Day 7 of hospitalization

 

 

N

Mean

Standard deviation

Standard error

PCT

(day0)

Normal

55

17.4382

13.96511

1.88306

Abnormal

42

22.6060

16.76998

2.58766

Total

97

19.6758

15.37646

1.56124

PCT

(day 3)

Normal

55

13.1620

9.83469

1.33833

Abnormal

42

17.9762

14.02604

2.16426

Total

97

15.2682

12.02614

1.22741

PCT

(day 5)

Normal

55

10.5640

8.74457

1.17912

Abnormal

42

12.9167

11.35573

1.75223

Total

97

11.5827

9.97294

1.01260

PCT

(day 7)

Normal

55

5.4013

4.56177

0.61511

Abnormal

42

6.5633

5.77162

0.89058

Total

97

5.9044

5.12516

0.52038

 

Normal: qSOFA score <2; Abnormal: qSOFA score ≥2

 

 

Figure 1 Receiver Operating Characteristic (ROC) curve of procalcitonin (day 7) for predicting clinical outcomes in sepsis patients

 

 

 

 

 

 

 

 

Table.8 Receiver Operating Characteristic (ROC) analysis of serial PCT levels for the prediction of sepsis severity defined by qSOFA scores

Test Variable

Area under curve (AUC)

95%CI

p-value

Sensitivity (%)

Specificity (%)

Youden index

PCT (day 0)

0.543

0.46 – 0.62

0.296

87.5

21.2

0.087

PCT (day 3)

0.563

0.49 – 0.63

0.083

90.5

22.2

0.127

PCT (day 5)

0.572

0.49 – 0.65

0.055

90.3

24.2

0.146

PCT (day 7)

0.662

0.61- 0.71

<0.001

100

32.6

0.326

 

 

 

 

 

Table.9 Receiver Operating Characteristic (ROC) analysis of serial serum lactate levels for the prediction of sepsis severity defined by qSOFA scores

Test Variable

Area Under Curve (AUC)

95%CI

p-value

Sensitivity (%)

Specificity (%)

Youden index

Serum lactate (day 0)

0.458

0.36 – 0.55

0.412

58.3

49.3

0.076

Serum lactate (day 3)

0.516

0.43 – 0.60

0.781

91.7

24.7

0.163

Serum lactate (day 5)

0.518

0.42 – 0.61

0.752

16.7

94.5

0.112

Serum lactate (day 7)

0.490

0.39 - 0.58

0.903

87.5

27.4

0.149

 

and no statistically significant results.

Overall, although both biomarkers declined over time, PCT demonstrated a stronger association with qSOFA scores and relatively better prognostic performance than serum lactate.

 

DISCUSSION:

Sepsis is defined as a multifaceted pathological state where an aberrant host immune response to an infectious agent triggers widespread inflammation, reduced blood flow to tissues, and the failure of various organ systems. The early identification of reliable biomarkers capable of predicting disease severity and clinical outcomes is necessary for optimizing management strategies and improving survival. (1)

 

In the present study, both PCT and serum  lactate were evaluated as prognostic tools in individuals requiring intensive care due to sepsis. The findings demonstrated that PCT levels were significantly correlated with qSOFA scores during hospitalization, indicating that increasing PCT levels were associated with worsening clinical severity. However, the strength of this association was weak-to-moderate, suggesting a modest relationship between PCT levels and disease severity. The strongest correlation observed between PCT on day 5 and qSOFA score on day 7 suggests that procalcitonin levels may reflect impending clinical deterioration. Furthermore, serial measurements revealed a progressive decline in procalcitonin levels among patients who demonstrated clinical improvement, highlighting its utility in monitoring therapeutic response. These observations agree with prior studies reporting the rise in procalcitonin levels during systemic bacterial infection owing to the upregulation of the CALC-1 gene in response to microbial toxins and inflammatory cytokines. (2,7)

 

In contrast, although serum lactate levels showed a statistically significant overall decline over time, they failed to demonstrate clinically meaningful correlations with qSOFA scores or inflammatory markers across the study period. Only a weak and isolated association was observed, while most correlations remained non-significant. Furthermore, receiver operating characteristic (ROC) analysis revealed poor discriminative ability of serum lactate, with no statistically significant predictive performance, whereas procalcitonin showed a progressive improvement in diagnostic accuracy over time. Although sensitivity was high, specificity remained low, limiting procalcitonin’s standalone clinical utility. These findings indicate that, despite its established role as a marker of tissue hypoxia and metabolic stress, serum lactate may have limited prognostic reliability when used in isolation. Similar variability in serum lactate performance has been reported in previous studies, where its prognostic value was influenced by factors such as hepatic clearance, comorbid conditions, and heterogeneity in patient populations (4). Conversely, other investigators have reported serum lactate clearance as a useful predictor of mortality, suggesting that differences in study design, patient severity, and endpoints may account for the observed discrepancies (12).

 

An additional observation was the presence of a weak but statistically significant correlation between PCT and total leukocyte count at admission, suggesting a relationship with the early inflammatory response. However, this association was not sustained over time, reflecting the dynamic and heterogeneous nature of the immune response in sepsis. The absence of a consistent relationship between serum lactate and leukocyte count further supports the limited role of lactate as an inflammatory biomarker.

Overall, the results of the present study support the hypothesis that procalcitonin demonstrates comparatively better, though modest performance, than serum lactate as a biomarker for predicting outcomes in sepsis. The ability of PCT to demonstrate significant correlations with clinical severity, its dynamic decline with clinical improvement, and its relatively better performance in ROC analysis collectively establish its clinical relevance in risk stratification and monitoring. However, certain unexpected findings, such as the lack of strong correlation between serum lactate and qSOFA, may be attributed to factors such as early clinical intervention, variability in tissue perfusion states, and differences in serum lactate metabolism among individuals.

 

CONCLUSION:

Serum procalcitonin and serum lactate levels measured during the ICU stay were evaluated for  their clinical prognostic relevance in patients with sepsis in correlation with the qSOFA score and total leukocyte count. The findings suggest that procalcitonin demonstrates relatively better,  though modest, prognostic performance than serum lactate; however, expanded multicenter trials are essential to corroborate the current observations.

 

LIMITATIONS

 

This study is subject to several constraints. As it was executed in a single institution, which may have introduced population bias and the findings may not be fully generalizable to other patient populations. The follow-up window was confined to seven days, which may be insufficient to capture the complete clinical evolution of sepsis over a longer observation period. Additionally, mortality outcomes were not analyzed due to incomplete longitudinal data on biomarker levels and qSOFA scores for all patients, which may have introduced attrition bias and limited the validity of outcome analysis. Furthermore, qSOFA was used as a surrogate marker of disease severity rather than a definitive clinical outcome such as mortality, which may limit the interpretation of prognostic accuracy. Therefore, further large-scale multicenter studies with longer follow-up durations are required to minimize potential confounding factors and better establish the prognostic significance of PCT and serum lactate levels in patients with sepsis.

 

ACKNOWLEDGEMENTS

The authors thank the Department of General Medicine, AIMSR, for permitting and supporting this study. We are grateful to the Institutional Research Committee for their approval and guidance. We also acknowledge the support of the Medical Records Department and ICU staff for their assistance in data collection. We extend our appreciation to the laboratory personnel for their cooperation in processing the investigations.

 

Funding: No Funding sources

Conflicts of interest: The authors have no conflicts of interest to declare.

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