[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8},"actionData","errors","root",{"_23":24,"_25":26,"_27":21,"_28":21,"_29":21,"_30":21,"_31":21,"_32":26,"_33":34},"routes/canvas.shared.$sharedTextdocId",{"_9":10,"_11":-7,"_12":13,"_14":15,"_16":17,"_18":19,"_20":21,"_22":21},"sharedTextdocId","689a05ae6ac081919d9ed7f2f8e419d2","versionInt","title","Vancomycin-to-e Gfr React App","type","code/react","content","import React, { useState } from \"react\";\n\nexport default function VancomycinGFRApp() {\n const [weight, setWeight] = useState(70);\n const [vdPerKg, setVdPerKg] = useState(0.7);\n const [time1, setTime1] = useState(\"\");\n const [time2, setTime2] = useState(\"\");\n const [conc1, setConc1] = useState(15);\n const [conc2, setConc2] = useState(8);\n const [lastDose, setLastDose] = useState(\"\");\n const [notes, setNotes] = useState(\"\");\n\n function parseDateTimeLocal(v) {\n // returns Date or null\n if (!v) return null;\n return new Date(v);\n }\n\n function hoursBetween(a, b) {\n return (b.getTime() - a.getTime()) / (1000 * 60 * 60);\n }\n\n let result = null;\n let warning = null;\n\n const d1 = parseDateTimeLocal(time1);\n const d2 = parseDateTimeLocal(time2);\n const ld = parseDateTimeLocal(lastDose);\n\n if (d1 && d2 && !isNaN(conc1) && !isNaN(conc2) && weight > 0) {\n // determine which is earlier\n let tEarly = d1;\n let tLate = d2;\n let cEarly = Number(conc1);\n let cLate = Number(conc2);\n if (d2 < d1) {\n tEarly = d2;\n tLate = d1;\n cEarly = Number(conc2);\n cLate = Number(conc1);\n }\n\n const deltaH = hoursBetween(tEarly, tLate);\n\n if (deltaH <= 0) {\n warning = \"Times must be different and in proper order.\";\n } else if (cEarly <= 0 || cLate <= 0) {\n warning = \"Concentrations must be positive numbers.\";\n } else {\n // elimination rate constant\n const ke = Math.log(cEarly / cLate) / deltaH; // 1/hr\n\n // volume of distribution in L\n const Vd = vdPerKg * Number(weight);\n\n // vancomycin clearance (L/hr)\n const Cl_vanco = ke * Vd;\n\n // convert to mL/min: *1000 mL/L, /60 min/hr\n const GFR_mL_min = Cl_vanco * 1000 / 60;\n\n result = {\n ke,\n Vd,\n Cl_vanco,\n GFR_mL_min,\n deltaH,\n };\n\n // Basic safety checks / warnings\n if (ld) {\n // check that both levels are after last dose\n if (ld > tEarly) {\n warning = (warning ? warning + \" \" : \"\") + \"One or both levels are before the stated last dose time.\";\n }\n }\n\n if (!Number.isFinite(result.ke) || result.ke <= 0) {\n warning = (warning ? warning + \" \" : \"\") + \"Calculated ke is non-positive — check inputs (post-distribution levels required).\";\n }\n\n if (vdPerKg <= 0 || vdPerKg > 2) {\n warning = (warning ? warning + \" \" : \"\") + \"Unusual Vd per kg — verify for obese/critical patients.\";\n }\n }\n }\n\n function format(n, dp = 3) {\n if (n == null || !Number.isFinite(n)) return \"—\";\n return Number(n).toFixed(dp);\n }\n\n return (\n

Vancomycin → eGFR (by vancomycin clearance)

Enter two post-distribution vancomycin concentrations (mg/L) and their draw times. App will estimate ke, vancomycin clearance and convert to an approximate GFR (mL/min).

\n\n

\n \n Patient weight (kg)\n setWeight(e.target.value)} />\n \n \n Vd per kg (L/kg)\n setVdPerKg(e.target.value)} />\n \n\n \n Last dose administered (optional)\n setLastDose(e.target.value)} />\n \n \n Notes (optional)\n setNotes(e.target.value)} />\n \n

\n\n

Level 1 concentration (mg/L)

\n setConc1(e.target.value)} />\n

Draw time

\n setTime1(e.target.value)} />\n

\n\n

Level 2 concentration (mg/L)

\n setConc2(e.target.value)} />\n

Draw time

\n setTime2(e.target.value)} />\n

\n\n

Tips

Use post-distribution levels (≥1–2 hr post infusion).
No additional dose between levels.
Stable renal function required for validity.

\n\n

Results

\n {warning &&

{warning}

}\n\n

Elimination rate constant (ke, 1/hr)

{result ? format(result.ke, 4) : \"—\"}

\n\n

Delta time between levels (hours)

{result ? format(result.deltaH, 2) : \"—\"}

\n\n

Vd (L)

{result ? format(result.Vd, 2) : \"—\"}

\n\n

Vancomycin Clearance (L/hr)

{result ? format(result.Cl_vanco, 3) : \"—\"}

\n\n

Estimated GFR (mL/min)

{result ? format(result.GFR_mL_min, 1) : \"—\"}

\n\n

\n Caveats: Works best when renal function is stable, levels are post-distribution, and Vd ~0.7 L/kg is reasonable. In critical illness, amputations, obesity or large fluid shifts, Vd may be inaccurate.\n

\n );\n}\n","access","public","isModerationBlocked",false,"isAnonifyApiKeyDetected","dd",{"_35":36,"_37":38},"disablePrefetch",true,"shouldPrefetchAccount","shouldPrefetchUser","shouldPrefetchSystemHints","promoteCss","disableSSR","stripModulepreloadImports","statsigGateEvaluationsPromise",["P",34],"traceId","14654508239704582995","traceTime",1776513379084]