def calculate_NEWS2()

in clns-CORONET_tool/CORONET_functions.py [0:0]

• 95 lines of code
• 2 McCabe index (conditional complexity)

def calculate_NEWS2(x):
    '''
    Function to calculate NEWS2 score

    https://www.mdcalc.com/national-early-warning-score-news-2

    INPUT:
    dictionary
    x = {'Respiratory Rate (bpm)': int,
        'Hypercapnic respiratory failure': str, -string 'Yes' or 'No'
        'SpO2 (%)': int,
        'Supplemental O2': str, -string 'Yes' or 'No'
        'Systolic BP (mmHg)': int,
        'Heart Rate (bpm)':int
         'Consciousness': 'str,   -string 'Yes' or 'No'
         'Temperature (degrees of C)': float, - decimal

         }


    OUTPUT:

    NEWS2_score - int
    '''

    rr_score = 0
    sat_score = 0
    supp_o2_score = 0
    Systolic_BP_score = 0
    Heart_rate_score = 0
    Consciousness_score = 0
    Temperature_score = 0


    # Respiratory Rate (bpm)
    if (11 >= x['Respiratory Rate (bpm)']) & (x['Respiratory Rate (bpm)'] >= 9):
        rr_score = 1
    elif x['Respiratory Rate (bpm)'] <= 8:
        rr_score = 3
    elif (24 >= x['Respiratory Rate (bpm)']) & (x['Respiratory Rate (bpm)'] >= 21):
        rr_score = 2
    elif x['Respiratory Rate (bpm)'] >= 25:
        rr_score = 3

    # SpO2
    if x['Hypercapnic respiratory failure'] == 'No':
        # SpO2 (%)
        if x['SpO2 (%)'] <= 91:
            sat_score = 3
        elif (92 <= x['SpO2 (%)']) & (x['SpO2 (%)'] <= 93):
            sat_score = 2
        elif (94 <= x['SpO2 (%)']) & (x['SpO2 (%)'] <= 95):
            sat_score = 1
    elif x['Hypercapnic respiratory failure'] == 'Yes':
        # SpO2 (%)
        if x['SpO2 (%)'] <= 83:
            sat_score = 3
        elif (84 <= x['SpO2 (%)']) & (x['SpO2 (%)'] <= 85):
            sat_score = 2
        elif (86 <= x['SpO2 (%)']) & (x['SpO2 (%)'] <= 87):
            sat_score = 1
        elif (93 <= x['SpO2 (%)']) & (x['SpO2 (%)'] <= 94):
            sat_score = 1
        elif (95<= x['SpO2 (%)']) & (x['SpO2 (%)'] <= 96):
            sat_score = 2
        elif x['SpO2 (%)'] >= 97:
            sat_score = 3


    # Supplemental O2
    if x['Supplemental O2'] == 'Yes':
        supp_o2_score = 2

    # Systolic BP (mmHg)
    if x['Systolic BP (mmHg)'] <= 90:
        Systolic_BP_score = 3
    elif (91 <= x['Systolic BP (mmHg)']) & (x['Systolic BP (mmHg)'] <= 100):
        Systolic_BP_score = 2
    elif (101 <= x['Systolic BP (mmHg)']) & (x['Systolic BP (mmHg)'] <= 110):
        Systolic_BP_score = 1
    elif x['Systolic BP (mmHg)'] >= 220:
        Systolic_BP_score = 3

    # Consciousness
    if x['Consciousness'] == 'No':
        Consciousness_score = 3

    # Temperature
    if x['Temperature (degrees of C)'] <= 35:
        Temperature_score = 3
    elif (35.1 <= x['Temperature (degrees of C)']) & (x['Temperature (degrees of C)'] <= 36):
        Temperature_score = 1
    elif (38.1 <= x['Temperature (degrees of C)']) & (x['Temperature (degrees of C)'] <= 39):
        Temperature_score = 1
    elif x['Temperature (degrees of C)'] >= 39.1:
        Temperature_score = 2

    # Temperature
    if x['Heart Rate (bpm)'] <= 40:
        Heart_rate_score = 3
    elif (41 <= x['Heart Rate (bpm)']) & (x['Heart Rate (bpm)'] <= 50):
        Heart_rate_score = 1
    elif (91 <= x['Heart Rate (bpm)']) & (x['Heart Rate (bpm)'] <= 110):
        Heart_rate_score = 1
    elif (111 <= x['Heart Rate (bpm)']) & (x['Heart Rate (bpm)'] <= 130):
        Heart_rate_score = 2
    elif x['Heart Rate (bpm)'] >= 131:
        Heart_rate_score = 3

    NEWS2_score = rr_score + sat_score + supp_o2_score + Systolic_BP_score + Consciousness_score + Temperature_score + Heart_rate_score
    #print(rr_score, sat_score, Systolic_BP_score, Consciousness_score, Temperature_score, Heart_rate_score)

    return NEWS2_score