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Single compartment PK model
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{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"id": "095378e2", | |
"metadata": {}, | |
"source": [ | |
"Example derived from: https://jckantor.github.io/CBE30338/03.05-One-Compartment-Pharmacokinetics.html" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 1, | |
"id": "2c47e856", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"%matplotlib inline\n", | |
"import numpy as np\n", | |
"import pandas as pd\n", | |
"import seaborn as sns\n", | |
"import matplotlib.pyplot as plt\n", | |
"from scipy.integrate import odeint\n", | |
"from scipy.stats import truncnorm\n", | |
"from meds import Levetiracetam" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"id": "65d956fb", | |
"metadata": {}, | |
"source": [ | |
"PK data from:\n", | |
"- https://pubmed.ncbi.nlm.nih.gov/33428169/\n", | |
"- https://www.accessdata.fda.gov/drugsatfda_docs/label/2009/021035s078s080%2C021505s021s024lbl.pdf" | |
] | |
}, | |
{ | |
"attachments": { | |
"ad984f9e-5b9e-4c30-8a52-dabb8c18d3b0.png": { | |
"image/png": 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" | |
} | |
}, | |
"cell_type": "markdown", | |
"id": "a87bd31e", | |
"metadata": {}, | |
"source": [ | |
"A simple pharmacokinetic model can be framed as a dilution problem. In this case, the dilution of a chemical species in a constant volume stirred-tank mixer. For a stirred-tank reactor with constant volume $V$, volumetric outflow rate $Q$, and inlet mass flow $u(t)$\n", | |
"\n", | |
"where $C$ is concentration in units of mass per unit volume. $V$ is blood plasma volume or volume of distribution, $Q$ is the total body clearance rate\n", | |
"\n", | |
"\n", | |
"\n", | |
"We can define the time varying concentration $C$ as an ordinary differential equation (ODE) and use a numerical solver to get intravascular concentration at any point in time\n", | |
"\n", | |
"$$ \\frac{dC}{dt} = \\frac{1}{V}u(t) - \\frac{Q}{V}C $$" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"id": "e01729db", | |
"metadata": {}, | |
"source": [ | |
"Pharmacokinetic params for each drug are stored within each class\n", | |
"```python\n", | |
"class Levetiracetam(...):\n", | |
" _name_ = 'Levetiracetam'\n", | |
" F = 0.96 # percent\n", | |
" _Vd = 0.70 # L/kg\n", | |
" _CL = 0.96/1000*60 # L/hour/kg\n", | |
" _Tmax = 1.5 # Hours\n", | |
"```\n", | |
"\n", | |
"Since many of the parameters are weight based, with a weight we can create a separate DrugAdministration object that will hold the single compartment equation described above\n", | |
"\n", | |
"```python\n", | |
"class Levetiracetam(...):\n", | |
" _name_ = 'Levetiracetam'\n", | |
" ...\n", | |
" \n", | |
" def create_administration(cls, doses, times, weight):\n", | |
" da = DrugAdministration(cls, doses, times, weight)\n", | |
" return da\n", | |
"```" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"id": "a47cfbb7", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"d_idx = pd.date_range(\"2022-06-01\", periods=4*9, freq=\"6H\")\n", | |
"df = pd.DataFrame(index=d_idx)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 3, | |
"id": "6d056a7b", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<div>\n", | |
"<style scoped>\n", | |
" .dataframe tbody tr th:only-of-type {\n", | |
" vertical-align: middle;\n", | |
" }\n", | |
"\n", | |
" .dataframe tbody tr th {\n", | |
" vertical-align: top;\n", | |
" }\n", | |
"\n", | |
" .dataframe thead th {\n", | |
" text-align: right;\n", | |
" }\n", | |
"</style>\n", | |
"<table border=\"1\" class=\"dataframe\">\n", | |
" <thead>\n", | |
" <tr style=\"text-align: right;\">\n", | |
" <th></th>\n", | |
" <th>AMT</th>\n", | |
" <th>Med</th>\n", | |
" <th>time_delta</th>\n", | |
" <th>hour</th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" <tr>\n", | |
" <th>2022-06-01 00:00:00</th>\n", | |
" <td>4000</td>\n", | |
" <td>Levetiracetam</td>\n", | |
" <td>0 days 00:00:00</td>\n", | |
" <td>0.0</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>2022-06-01 06:00:00</th>\n", | |
" <td>4000</td>\n", | |
" <td>Levetiracetam</td>\n", | |
" <td>0 days 06:00:00</td>\n", | |
" <td>6.0</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>2022-06-01 12:00:00</th>\n", | |
" <td>4000</td>\n", | |
" <td>Levetiracetam</td>\n", | |
" <td>0 days 12:00:00</td>\n", | |
" <td>12.0</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>2022-06-01 18:00:00</th>\n", | |
" <td>4000</td>\n", | |
" <td>Levetiracetam</td>\n", | |
" <td>0 days 18:00:00</td>\n", | |
" <td>18.0</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>2022-06-02 00:00:00</th>\n", | |
" <td>4000</td>\n", | |
" <td>Levetiracetam</td>\n", | |
" <td>1 days 00:00:00</td>\n", | |
" <td>24.0</td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
"</table>\n", | |
"</div>" | |
], | |
"text/plain": [ | |
" AMT Med time_delta hour\n", | |
"2022-06-01 00:00:00 4000 Levetiracetam 0 days 00:00:00 0.0\n", | |
"2022-06-01 06:00:00 4000 Levetiracetam 0 days 06:00:00 6.0\n", | |
"2022-06-01 12:00:00 4000 Levetiracetam 0 days 12:00:00 12.0\n", | |
"2022-06-01 18:00:00 4000 Levetiracetam 0 days 18:00:00 18.0\n", | |
"2022-06-02 00:00:00 4000 Levetiracetam 1 days 00:00:00 24.0" | |
] | |
}, | |
"execution_count": 3, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"df['AMT'] = 4000\n", | |
"df['Med'] = 'Levetiracetam'\n", | |
"df['time_delta'] = df.index.values - df.index.values.min()\n", | |
"df['hour'] = df.time_delta/np.timedelta64(1,'h')\n", | |
"df.head()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 5, | |
"id": "ff9b01cc", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"m = Levetiracetam.create_administration(doses=df.AMT,times=df.hour,weight=68.2)\n", | |
"m.set_baseline(dose=1500,interval=12)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 6, | |
"id": "1cba35d3", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"t = np.linspace(0,df.hour.max()+48,500)\n", | |
"Cp = pd.Series(m.C(t)).ewm(3).mean()\n", | |
"aeds = pd.DataFrame({\n", | |
" 'Time (hrs)':t,\n", | |
"# 'AED Load Index (%)':cn,\n", | |
" 'Concentration (mg/L)':Cp,\n", | |
" 'name':'Levetiracetam'\n", | |
"})" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 7, | |
"id": "770fa3f2", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"<matplotlib.lines.Line2D at 0x7fe1c9969910>" | |
] | |
}, | |
"execution_count": 7, | |
"metadata": {}, | |
"output_type": "execute_result" | |
}, | |
{ | |
"data": { | |
"image/png": 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\n", | |
"text/plain": [ | |
"<Figure size 640x480 with 1 Axes>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"sns.set_context('talk')\n", | |
"g = sns.lineplot(x='Time (hrs)', y='Concentration (mg/L)', hue='name',data=aeds)\n", | |
"g.axvline(x=df.hour.max(),\n", | |
"# ymin=-1,ymax=200,\n", | |
"# label='Admission',\n", | |
"# linestyles='dashed',\n", | |
" color='k',\n", | |
" ls='--'\n", | |
" )\n", | |
"\n", | |
"g.axhline(y=12,color='orange',ls='--')\n", | |
"g.axhline(y=46,color='orange',ls='--')" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 8, | |
"id": "a9181b1f-2a79-4d0b-b60c-c63038ea7666", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"g.figure.savefig('./keppra_admin.pdf',dpi=300)\n", | |
"g.figure.savefig('./keppra_admin.png',dpi=300)" | |
] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python 3 (ipykernel)", | |
"language": "python", | |
"name": "python3" | |
}, | |
"language_info": { | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 3 | |
}, | |
"file_extension": ".py", | |
"mimetype": "text/x-python", | |
"name": "python", | |
"nbconvert_exporter": "python", | |
"pygments_lexer": "ipython3", | |
"version": "3.8.13" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 5 | |
} |
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from scipy.stats import truncnorm | |
from scipy.integrate import odeint | |
import pandas as pd | |
import numpy as np | |
import matplotlib.pyplot as plt | |
import seaborn as sns | |
def gen_norm_dist(clip_a,clip_b,u=None): | |
if u is None: | |
u = (clip_a+(clip_b-clip_a)/2) | |
std = 1 | |
a, b = (clip_a - u) / std, (clip_b - u) / std | |
return truncnorm(a,b,loc=u) | |
class DrugAdministration(): | |
def __init__(self, drug, doses, times, weight): | |
self.drug = drug | |
self.doses = doses | |
self.times = times | |
self.weight = weight | |
self._Vd = drug._Vd*self.weight | |
self._CL = drug._CL*self.weight | |
self.F = drug.F | |
self._Tmax = drug._Tmax | |
self.baseline = 0 | |
self.dCdt = lambda C,t: self.u(t)/self.Vd - (self.CL/self.Vd)*C | |
@property | |
def Vd(self): | |
return self._Vd | |
@property | |
def CL(self): | |
return self._CL | |
@CL.setter | |
def CL(self,val): | |
self._CL = val | |
@property | |
def Tmax(self): | |
return self._Tmax | |
def set_baseline(self,dose,interval): | |
self.baseline = self.Css(dose,interval) | |
def Css(self,dose,interval): | |
auc = (self.F*dose)/(self.CL) | |
return auc/interval | |
def u(self,t): | |
u_bool = (t > self.times) & (t < self.times+self.Tmax) | |
if u_bool.any(): | |
idx = u_bool.values.tolist().index(True) | |
return self.F*self.doses.values[idx]/self.Tmax | |
else: | |
return 0 | |
def C(self,t,normalize=False): | |
c = odeint(self.dCdt,self.baseline,t,tcrit=t).flatten() | |
if normalize: | |
c = c/self.baseline | |
return c | |
def plot(self): | |
t = np.linspace(0,self.times.max(),1000) | |
y = [self.u(tau) for tau in t] | |
sns.lineplot(t,y) | |
def plot_Cp(self,span=25,C0=0,normalize=False): | |
t = np.linspace(0,self.times.max(),1000) | |
C = self.C(t,normalize) | |
if span is not None: | |
C = pd.Series(C).ewm(span).mean() | |
df = pd.DataFrame({ | |
'Time (hrs)':t, | |
'Medication':['{}'.format(self.drug._name_)]*len(t), | |
'Concentration (mg/L)':C}) | |
sns.lineplot(data=df,x='Time (hrs)',hue='Medication',y='Concentration (mg/L)') | |
class Drug(object): | |
_weight = 80 | |
def get_CL(self,wt=80): | |
return cls._CL*wt | |
def show_Vd(self, wt=None): | |
print('Vd: ',cls.Vd,' L/kg') | |
def show_CL(self,wt=None): | |
print('CL: ', cls._CL, ' L/hour/kg') | |
@classmethod | |
def __str__(cls): | |
return cls._name_ | |
class Levetiracetam(Drug): | |
_name_ = 'Levetiracetam' | |
F = 0.96 # percent | |
_Vd = 0.70 # L/kg | |
_CL = 0.96/1000*60 # L/hour/kg | |
_Tmax = 1.5 # Hours | |
@classmethod | |
def create_administration(cls, doses, times, weight): | |
da = DrugAdministration(cls, doses, times, weight) | |
return da | |
class Lacosamide(Drug): | |
_name_ = 'Lacosamide' | |
# https://www.accessdata.fda.gov/drugsatfda_docs/label/2018/022253s042lbl.pdf | |
F = 1.0 | |
CL_dist = gen_norm_dist(0.00594,0.03779999999) # L/hr/kg | |
Tmax_dist = gen_norm_dist(1,4) # (1.4-4.8) | |
_Vd = 0.6 # L/kg | |
_CL = CL_dist.mean() | |
_Tmax = Tmax_dist.mean() | |
@classmethod | |
def create_administration(cls, doses, times, weight): | |
da = DrugAdministration(cls, doses, times, weight) | |
return da | |
class Lamotrigine(Drug): | |
_name_ = 'Lamotrigine' | |
# https://www.accessdata.fda.gov/drugsatfda_docs/label/2006/020241s10s21s25s26s27,020764s3s14s18s19s20lbl.pdf | |
F = 0.98 | |
CL_dist = gen_norm_dist(0.24*60/1000,1.15*60/1000,0.58) # L/hr/kg | |
Tmax_dist = gen_norm_dist(0.5,4.0,2.2) # (1.4-4.8) | |
Vd_dist = gen_norm_dist(0.9,1.3) | |
_Vd = Vd_dist.mean() | |
_CL = CL_dist.mean() | |
_Tmax = Tmax_dist.mean() | |
@classmethod | |
def create_administration(cls, doses, times, weight): | |
da = DrugAdministration(cls, doses, times, weight) | |
return da | |
class Pregabalin(Drug): | |
_name_ = 'Pregabalin' | |
# https://www.accessdata.fda.gov/drugsatfda_docs/label/2018/021446s035,022488s013lbl.pdf | |
F = 0.95 | |
CL_dist = gen_norm_dist(67.0/1000*60,80.9/1000*60) # L/hr | |
_Vd = 0.5 # L/kg | |
_CL = CL_dist.mean() | |
_Tmax = 1.5 | |
@classmethod | |
def create_administration(cls, doses, times, weight): | |
da = DrugAdministration(cls, doses, times, weight) | |
da.CL = cls._CL | |
return da | |
@classmethod | |
def show_CL(cls,wt=None): | |
print('CL: ', cls._CL, ' L/hour') | |
@classmethod | |
def get_CL(cls,wt=80): | |
return cls._CL |
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