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Mean Arterial Pressure (MAP)

Calculators  Cardiovascular
Mean Arterial Pressure (MAP) is simple yet effective tool which can detect the mean arterial pressure
Systolic Blood Pressure
Diastolic Blood Pressure


Measured Factor
Measured Factor Disease
  • Mean arterial pressure is calculated using diastolic and systolic pressure and this value reflect the health state of an individual Lower MAP value is indicative of hypotension and other complications.
Measured Factor Detail
Based on the values of diastolic and systolic blood pressure mean arterial pressure (MAP) can be calculated.
Body System
Mean Arterial Pressure = 1/3(SBP) + 2/3(DBP)
Measured Factor Low Impact
  • Lower mean arterial pressure suggests presence of hypotension and one of the cause of septic shock
Measured Factor High Impact
  • MAP

Result Interpretation

Ranges Ranges
  • Critical Low: 60 mm/hg
  • Critical High: 110 mm/hg
  • Normal: 60-110 mm/hg
  • Normal Adult Male: 60-110 mm/hg
  • Normal Adult Female: 60-110 mm/hg
  • Normal Pediatric: 60-110 mm/hg
  • Normal Neonate Female: 60-110 mm/hg
  • Normal Geriatric Male: 60-110 mm/hg
  • Normal Geriatric Female: 60-110 mm/hg
Result Low Conditions
  • Hypotension
  • Septic shock
  • sepsis
Result High Conditions
  • Increased intracranial pressure
Test Limitations
MAP cannot be use if arterial pressure waveform have different morphologies.
References: 2


Study Validation 1
The aim of the study was to review the effects of biventricular pacing on the mean arterial pressure after chest closure. A total of 30 patients underwent bypass surgery and were examined in the study. The mean arterial pressure was set to highest level during biventricular pacing. Finally optimized biventricular pacing was then compared with atrial pacing at a similar heart rate during a 30 second interval time. Linear mixed effects models and Bonferroni’s correction were used to assess the significance between the two approaches. There was 4% increase in mean arterial pressure with Optimized atrioventricular delay compared to 7% with artrial pacing. This study concluded that optimized  biventricular pacing improves the hemodynamics after chest closure.
References: 3
Study Validation 2
The aim of the study was to check the accuracy of oscillometric devices utilized for measuring systolic and diastolic BP. Comparison in measurements of mean arterial pressure (MAP) was analyzed between WatchBP Office oscillometric monitor and pulse-wave analysis (PWA) (SphygmoCor). This study was performed in 102 subjects and their MAP measurements were recorded with both the devices. Results showed that mean MAP with oscillometric was 97 ± 12.5 mm Hg in compare to 106 ± 14.6 mm Hg of the pulse pressure (PP).  The differences were noted in both the groups. This study showed that WatchBP Office monitor was imprecise tool to calculate MAP.
References: 4
Study Additional 1
The main objective of this population-based case-control study was to explore the correlation between arterial pressures (MAP), HbA1c, and cardiovascular (CV) hospitalization risk in type 2 diabetes. For this 588 patients with type-2 diabetes from  a CV hospitalisation were involved in the study. Conditional logistic regression was used to correlate the dose response with response. Results showed that there was non linear relationship between MAP and CV hospitalization using linearity test. The MAP related  with the lowest CV hospitalisation risk was 97 (95% CI: 93–101) mmHg. This study conclude that MAP was a good predictor of CV hospitalisation risk. High MAP between 93 and 101 mmHg ensured low risk for CV hospitalisation
References: 5
Study Additional 2
This prospective longitudinal study was conducted out in 461 pregnant normotensive (NT) and chronic hypertensive (HT) women to stratify the effect of body mass index (BMI) on mean arterial pressure (MAP). Measurements of BMI, SBP, DBP and MAP were taken during 1st, 2nd, and 3rd trimesters of pregnancy. Linear mixed-effects regression models were utilized to evaluate the effect of BMI on MAP. Results showed that BMI was consecutively increased with time in both NT and HT. In contrast, MAP was decreased during the first half of pregnancy. This study concluded that both MAP was strongly correlated with increase in BMI
References: 6
Study Additional 3
This study aimed to compare the pattern of Mean arterial pressure (MAP) and pulse pressure (PP) in diabetic patients with that of normal subject in Africa. Blood pressure reading of both healthy and diabetic subjects was taken using a mercurial sphygmomanometer. Similarly, PP was calculated by deducting diastolic blood pressure from the systolic blood pressure. Results showed higher MAP (150mmHg) in non-diabetic subjects compared with MAP reading of diabetic patients (133.33mmHg). PP was higher in diabetic patients than in healthy subjects. This study concluded that there was no relevance between PP and MAP in the diabetic patients.
References: 7


  1. Magder SA. The highs and lows of blood pressure: toward meaningful clinical targets in patients with shock. Crit Care Med. 2014;42(5):1241–1251
  2. Ahn W, Lim YJ. Mean arterial blood pressure estimation and its limitation. Can J Anaesth. 2005;52(9):1000-1
  3. Prasso JE, Berberian G, Cabreriza SE, et al. Validation of mean arterial pressure as an indicator of acute changes in cardiac output. ASAIO J. 2005;51(1):22-5.
  4. Vos J, Vincent HH, Verhaar MC, Bos WJ. Inaccuracy in determining mean arterial pressure with oscillometric blood pressure techniques. Am J Hypertens. 2013;26(5):624-9.
  5. Yu D, Zhao Z, Simmons D. Interaction between Mean Arterial Pressure and HbA1c in Prediction of Cardiovascular Disease Hospitalisation: A Population-Based Case-Control Study. J Diabetes Res. 2016;2016:8714745.
  6. Guedes-martins L, Carvalho M, Silva C, et al. Relationship between body mass index and mean arterial pressure in normotensive and chronic hypertensive pregnant women: a prospective, longitudinal study. BMC Pregnancy Childbirth. 2015;15:281.
  7. Adegbenga AB. Mean arterial pressure, pulse pressure in diabetic and non diabetic male African population: a comparative study. J Diabetes Metab Disord Control. 2018;5(2):31-36