Code
library(ggplot2)
library(psych)
Attaching package: 'psych'The following objects are masked from 'package:ggplot2':
%+%, alphaAssociações com a Dismagnesemia em Pacientes internados com diagnóstico de Covid-19 na Unidade de Terapia Intensiva adulto em um Hospital Regional de Minas Gerais.
Pacotes
Introdução
A atual doença causada pelo coronavírus, popularmente conhecida como COVID- 19, é uma nova estirpe do vírus, o coronavírus 2 da síndrome respiratória aguda grave
(SARS-CoV-2) (BLAZQUEZ-FERNANDEZ; LANZA-LEON; SANCHEZ-RUIZ; CANTARERO-PRIETO, 2023; ZHANG; WANG; WANG; HU et al., 2021). Inicialmente os primeiros casos foram confirmados na cidade Wuhan, na China, em dezembro de 2019 (ZHU; ZHANG; WANG; LI et al., 2020). Após a confirmação dos primeiros casos, o vírus revelou-se altamente contagioso, espalhando de forma incontrolável por todo o mundo, o que levou a Organização Mundial da Saúde (OMS) declarar uma pandemia global em março de 2020 (WHO, 2020). Uma vez declarada a pandemia, os governos nacionais e regionais criaram políticas a fim de quebrar a cadeia de transmissão do vírus, o que incluiu diferentes medidas. Diante disso, o objetivo desse estudo foi identificar as condições associadas a dismagnesemia pelo perfil de pacientes internados com diagnóstico de COVID-19 associados aos distúrbios hidroeletrolíticos nas primeiras vinte e quatro horas de internação na Unidade de Terapia Intensiva adulto em um hospital filantrópico na cidade de Ouro Preto.
Preparação dos dados
Leitura dos dados
Idade Origem Sexo Diagnóstico HAS DM AVC IAM IRC IRA Neoplasias ICC Asma DPOC
1 32 1 1 1 1 1 1 1 1 1 1 1 1 1
2 53 1 0 0 1 1 1 1 1 1 1 1 1 1
3 52 1 1 0 1 1 1 1 1 1 1 1 1 1
4 30 1 1 0 1 1 1 1 1 1 1 1 1 1
5 62 1 1 1 0 1 1 1 1 1 1 1 1 1
6 53 0 1 2 0 1 0 1 1 1 1 1 1 1
Pancreatite Etilismo Nenhuma.comorbidade Diuretico Gentamicina Pentamidina
1 1 0 1 1 1 1
2 1 1 0 1 1 1
3 1 1 0 1 1 1
4 1 1 0 1 1 1
5 1 1 1 1 1 1
6 1 1 1 0 1 1
Foscarnet Pamidronato Beta2agonista Cisplatina Sirolimus Cetuximabe
1 1 1 1 1 1 1
2 1 1 1 1 1 1
3 1 1 1 1 1 1
4 1 1 1 1 1 1
5 1 1 1 1 1 1
6 1 1 1 1 1 1
Panitumumabes AnfotericinaB IBP Nenhum Peso Altura IMC CC Hb GL
1 1 1 1 0 71.5 1.85 20.89 79 13.4 9500
2 1 1 1 0 60.0 1.48 27.39 77 NA NA
3 1 1 1 0 53.6 1.69 18.77 73 NA NA
4 1 1 1 0 71.2 1.85 20.80 84 15.3 5700
5 1 1 1 0 55.0 1.60 21.48 66 8.6 10200
6 1 1 1 1 74.0 1.70 25.61 77 NA NA
Linfocitos Segmentados Plaquetas PCR Ureia Creatinina P Ca Na K
1 1900 7315 242000 0.5 23 0.9 NA 11.9 136 4.0
2 NA NA NA NA NA NA 2.31 9.0 141 3.8
3 NA NA NA NA NA NA 1.93 9.2 135 3.9
4 1710 3705 262000 NA 24 1.1 2.53 9.6 138 4.1
5 918 9180 308000 44.6 15 0.8 2.49 8.6 132 3.6
6 NA NA NA NA NA NA 2.43 10.9 137 4.1
Mgserico Mgurinario
1 2.1 8.31
2 2.0 4.00
3 1.9 2.42
4 1.8 2.34
5 2.1 2.37
6 1.9 3.37Transformação das variáveis em Quantitativas e Categóricas
Numéricas
'data.frame': 346 obs. of 20 variables:
$ Idade : num 32 53 52 30 62 53 74 83 69 70 ...
$ Peso : num 71.5 60 53.6 71.2 55 74 84 47 100 75.2 ...
$ Altura : num 1.85 1.48 1.69 1.85 1.6 1.7 1.62 1.45 1.65 1.55 ...
$ IMC : num 20.9 27.4 18.8 20.8 21.5 ...
$ CC : num 79 77 73 84 66 77 107 89 117 107 ...
$ Hb : num 13.4 NA NA 15.3 8.6 NA NA 10.7 15.9 12.4 ...
$ GL : num 9500 NA NA 5700 10200 NA NA 5700 9000 11500 ...
$ Linfocitos : num 1900 NA NA 1710 918 NA NA 1140 1140 NA ...
$ Diagnóstico: num 1 0 0 0 1 2 1 3 1 1 ...
$ Segmentados: num 7315 NA NA 3705 9180 ...
$ Plaquetas : num 242000 NA NA 262000 308000 NA NA 211000 252000 229000 ...
$ PCR : num 0.5 NA NA NA 44.6 NA NA NA 41.3 47 ...
$ Ureia : num 23 NA NA 24 15 NA NA 49 24 18 ...
$ Creatinina : num 0.9 NA NA 1.1 0.8 NA NA 1.3 1 0.9 ...
$ P : num NA 2.31 1.93 2.53 2.49 2.43 2.96 3.04 2.9 3.38 ...
$ Ca : num 11.9 9 9.2 9.6 8.6 10.9 10.1 7.4 8.5 9.8 ...
$ Na : num 136 141 135 138 132 137 139 136 136 141 ...
$ K : num 4 3.8 3.9 4.1 3.6 4.1 4.3 4.6 5.4 3.7 ...
$ Mgserico : num 2.1 2 1.9 1.8 2.1 1.9 2 1.5 2 1.6 ...
$ Mgurinario : num 8.31 4 2.42 2.34 2.37 3.37 6.55 1.92 NA NA ...Categóricas
'data.frame': 346 obs. of 28 variables:
$ Origem : Factor w/ 4 levels "0","1","2","3": 2 2 2 2 2 1 1 2 1 2 ...
$ Sexo : Factor w/ 2 levels "0","1": 2 1 2 2 2 2 2 1 2 1 ...
$ HAS : Factor w/ 2 levels "0","1": 2 2 2 2 1 1 1 1 2 1 ...
$ DM : Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 1 2 2 ...
$ AVC : Factor w/ 2 levels "0","1": 2 2 2 2 2 1 2 2 2 2 ...
$ IAM : Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 2 2 ...
$ IRC : Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 2 2 ...
$ IRA : Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 2 2 ...
$ Neoplasias : Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 1 2 ...
$ ICC : Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 1 2 2 ...
$ Asma : Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 2 2 ...
$ DPOC : Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 2 2 ...
$ Pancreatite : Factor w/ 1 level "1": 1 1 1 1 1 1 1 1 1 1 ...
$ Etilismo : Factor w/ 2 levels "0","1": 1 2 2 2 2 2 2 2 2 2 ...
$ Nenhuma.comorbidade: Factor w/ 2 levels "0","1": 2 1 1 1 2 2 2 2 2 2 ...
$ Diuretico : Factor w/ 2 levels "0","1": 2 2 2 2 2 1 1 2 2 2 ...
$ Gentamicina : Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 2 2 ...
$ Pentamidina : Factor w/ 1 level "1": 1 1 1 1 1 1 1 1 1 1 ...
$ Foscarnet : Factor w/ 1 level "1": 1 1 1 1 1 1 1 1 1 1 ...
$ Pamidronato : Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 2 2 ...
$ Beta2agonista : Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 2 2 ...
$ Cisplatina : Factor w/ 1 level "1": 1 1 1 1 1 1 1 1 1 1 ...
$ Sirolimus : Factor w/ 1 level "1": 1 1 1 1 1 1 1 1 1 1 ...
$ Cetuximabe : Factor w/ 1 level "1": 1 1 1 1 1 1 1 1 1 1 ...
$ Panitumumabes : Factor w/ 1 level "1": 1 1 1 1 1 1 1 1 1 1 ...
$ AnfotericinaB : Factor w/ 1 level "1": 1 1 1 1 1 1 1 1 1 1 ...
$ IBP : Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 2 2 ...
$ Nenhum : Factor w/ 2 levels "0","1": 1 1 1 1 1 2 2 1 1 1 ...Identificando as variáveis sem variabilidade
[1] "Variáveis removidas: Pancreatite, Pentamidina, Foscarnet, Cisplatina, Sirolimus, Cetuximabe, Panitumumabes, AnfotericinaB"Estatística descritiva
Histogramas
Gráficos de colunas
Warning: `aes_string()` was deprecated in ggplot2 3.0.0.
ℹ Please use tidy evaluation idioms with `aes()`.
ℹ See also `vignette("ggplot2-in-packages")` for more information.
variavel p_value normalidade
1 Idade 8.428430e-06 Não Normal
2 Peso 1.017341e-03 Não Normal
3 Altura 4.284674e-02 Não Normal
4 IMC 6.582260e-10 Não Normal
5 CC 5.298260e-04 Não Normal
6 Hb 6.250223e-05 Não Normal
7 GL 9.651622e-34 Não Normal
8 Linfocitos 8.798966e-29 Não Normal
9 Diagnóstico 3.532425e-21 Não Normal
10 Segmentados 9.818809e-29 Não Normal
11 Plaquetas 4.618069e-18 Não Normal
12 PCR 2.172627e-15 Não Normal
13 Ureia 8.607778e-23 Não Normal
14 Creatinina 1.518960e-27 Não Normal
15 P 1.100870e-33 Não Normal
16 Ca 1.831303e-32 Não Normal
17 Na 8.652472e-15 Não Normal
18 K 1.498360e-06 Não Normal
19 Mgserico 1.109996e-10 Não Normal
20 Mgurinario 1.227326e-16 Não Normal Variável Média Mediana Desvio_Padrão Mínimo Máximo
1 Idade 5.364451e+01 55.000 2.016981e+01 18.00 101.00
2 Peso 7.325517e+01 72.000 1.733340e+01 31.00 136.80
3 Altura 1.670029e+00 1.680 1.001347e-01 1.28 1.93
4 IMC 2.626260e+01 25.695 5.984028e+00 10.36 58.59
5 CC 9.043699e+01 89.000 1.401283e+01 55.50 138.00
6 Hb 1.186505e+01 12.000 2.133729e+00 4.20 18.90
7 GL 8.746349e+03 7200.000 1.148921e+04 2700.00 138000.00
8 Linfocitos 1.688150e+03 1519.000 1.209600e+03 165.00 17892.00
9 Diagnóstico 9.335260e-01 0.000 1.154037e+00 0.00 5.00
10 Segmentados 5.973643e+03 4984.500 4.950340e+03 1155.00 72000.00
11 Plaquetas 2.222571e+05 208000.000 9.356738e+04 17000.00 985000.00
12 PCR 3.038075e+01 13.750 3.806039e+01 0.10 242.00
13 Ureia 3.460333e+01 29.000 2.496793e+01 5.00 185.00
14 Creatinina 1.074351e+00 0.900 8.061801e-01 0.20 7.90
15 P 3.898917e+00 3.420 5.899945e+00 0.98 99.90
16 Ca 9.502362e+00 9.000 5.798150e+00 4.08 99.90
17 Na 1.379443e+02 138.000 4.180328e+00 110.00 160.00
18 K 4.187500e+00 4.100 6.339497e-01 2.50 6.70
19 Mgserico 1.818208e+00 1.900 3.099102e-01 0.20 2.70
20 Mgurinario 4.847811e+00 3.900 4.193521e+00 0.38 37.71
IC_95_Inf IC_95_Sup
1 5.151177e+01 5.577725e+01
2 7.142235e+01 7.508799e+01
3 1.659441e+00 1.680617e+00
4 2.562985e+01 2.689535e+01
5 8.895529e+01 9.191870e+01
6 1.163943e+01 1.209067e+01
7 7.531489e+03 9.961209e+03
8 1.560248e+03 1.816052e+03
9 8.114990e-01 1.055553e+00
10 5.450198e+03 6.497089e+03
11 2.123634e+05 2.321509e+05
12 2.635627e+01 3.440522e+01
13 3.196324e+01 3.724342e+01
14 9.891058e-01 1.159596e+00
15 3.275061e+00 4.522773e+00
16 8.889270e+00 1.011545e+01
17 1.375022e+02 1.383863e+02
18 4.120467e+00 4.254533e+00
19 1.785438e+00 1.850978e+00
20 4.404391e+00 5.291231e+00Correção de Continuidade nas Estimações de Correlação
No presente estudo, as medidas de associação e correlação serão estimadas utilizando técnicas apropriadas para variáveis de diferentes naturezas, aplicando a correção de continuidade em situações que envolvem variáveis dicotômicas. A correção de continuidade é uma técnica estatística utilizada para ajustar a estimativa de correlações quando há desequilíbrio entre as categorias das variáveis binárias, ou seja, quando uma categoria ocorre com muito mais frequência que a outra (McDonald, 2009; Agresti, 2013). Isso é fundamental para garantir que os resultados reflitam de forma mais precisa as relações entre as variáveis e não sejam enviesados pela disparidade nas frequências observadas.
No caso de variáveis dicotômicas, a correlação tetrachorica será utilizada, que é uma medida de associação entre duas variáveis binárias, assumindo que ambas são observações de variáveis latentes contínuas subjacentes. Quando se trata da associação entre uma variável dicotômica e uma variável contínua, será utilizada a correlação bisserial, que mede a relação entre uma variável dicotômica e uma variável numérica. Em ambos os casos, a correção de continuidade suaviza as estimativas, melhorando a precisão quando as categorias binárias são muito desequilibradas.
A aplicação dessa correção tem sido amplamente recomendada em estudos estatísticos, uma vez que reduz o risco de distorções nas estimativas e aumenta a confiabilidade dos resultados inferenciais (Agresti, 2013; McDonald, 2009). Assim, a adoção da correção de continuidade neste estudo assegura maior rigor metodológico e solidez nas conclusões sobre as relações entre as variáveis.
0 1
260 81 'data.frame': 341 obs. of 41 variables:
$ Idade : num 32 53 52 30 62 53 74 83 69 70 ...
$ Origem : num 1 1 1 1 1 0 0 1 0 1 ...
$ Sexo : num 1 0 1 1 1 1 1 0 1 0 ...
$ Diagnóstico : num 1 0 0 0 1 2 1 3 1 1 ...
$ HAS : num 1 1 1 1 0 0 0 0 1 0 ...
$ DM : num 1 1 1 1 1 1 1 0 1 1 ...
$ AVC : num 1 1 1 1 1 0 1 1 1 1 ...
$ IAM : num 1 1 1 1 1 1 1 1 1 1 ...
$ IRC : num 1 1 1 1 1 1 1 1 1 1 ...
$ IRA : num 1 1 1 1 1 1 1 1 1 1 ...
$ Neoplasias : num 1 1 1 1 1 1 1 1 0 1 ...
$ ICC : num 1 1 1 1 1 1 1 0 1 1 ...
$ Asma : num 1 1 1 1 1 1 1 1 1 1 ...
$ DPOC : num 1 1 1 1 1 1 1 1 1 1 ...
$ Etilismo : num 0 1 1 1 1 1 1 1 1 1 ...
$ Nenhuma.comorbidade: num 1 0 0 0 1 1 1 1 1 1 ...
$ Diuretico : num 1 1 1 1 1 0 0 1 1 1 ...
$ Gentamicina : num 1 1 1 1 1 1 1 1 1 1 ...
$ Pamidronato : num 1 1 1 1 1 1 1 1 1 1 ...
$ Beta2agonista : num 1 1 1 1 1 1 1 1 1 1 ...
$ IBP : num 1 1 1 1 1 1 1 1 1 1 ...
$ Nenhum : num 0 0 0 0 0 1 1 0 0 0 ...
$ Peso : num 71.5 60 53.6 71.2 55 74 84 47 100 75.2 ...
$ Altura : num 1.85 1.48 1.69 1.85 1.6 1.7 1.62 1.45 1.65 1.55 ...
$ IMC : num 20.9 27.4 18.8 20.8 21.5 ...
$ CC : num 79 77 73 84 66 77 107 89 117 107 ...
$ Hb : num 13.4 NA NA 15.3 8.6 NA NA 10.7 15.9 12.4 ...
$ GL : num 9500 NA NA 5700 10200 NA NA 5700 9000 11500 ...
$ Linfocitos : num 1900 NA NA 1710 918 NA NA 1140 1140 NA ...
$ Segmentados : num 7315 NA NA 3705 9180 ...
$ Plaquetas : num 242000 NA NA 262000 308000 NA NA 211000 252000 229000 ...
$ PCR : num 0.5 NA NA NA 44.6 NA NA NA 41.3 47 ...
$ Ureia : num 23 NA NA 24 15 NA NA 49 24 18 ...
$ Creatinina : num 0.9 NA NA 1.1 0.8 NA NA 1.3 1 0.9 ...
$ P : num NA 2.31 1.93 2.53 2.49 2.43 2.96 3.04 2.9 3.38 ...
$ Ca : num 11.9 9 9.2 9.6 8.6 10.9 10.1 7.4 8.5 9.8 ...
$ Na : num 136 141 135 138 132 137 139 136 136 141 ...
$ K : num 4 3.8 3.9 4.1 3.6 4.1 4.3 4.6 5.4 3.7 ...
$ Mgserico : num 2.1 2 1.9 1.8 2.1 1.9 2 1.5 2 1.6 ...
$ Mgurinario : num 8.31 4 2.42 2.34 2.37 3.37 6.55 1.92 NA NA ...
$ Classificacao : num 0 0 0 0 0 0 0 1 0 1 ...
Warning in biserialc(x[, j], y[, i], j, i): For x = 15 y = 6 x seems to be
dichotomous, not continuousWarning in biserialc(x[, j], y[, i], j, i): For x = 21 y = 10 y is not
dichotomousWarning in biserialc(x[, j], y[, i], j, i): For x = 8 y = 16 y is not
dichotomousWarning in biserialc(x[, j], y[, i], j, i): For x = 9 y = 16 y is not
dichotomousWarning in biserialc(x[, j], y[, i], j, i): For x = 10 y = 16 y is not
dichotomousWarning in biserialc(x[, j], y[, i], j, i): For x = 11 y = 16 y is not
dichotomousWarning in biserialc(x[, j], y[, i], j, i): For x = 12 y = 16 y is not
dichotomousWarning in biserialc(x[, j], y[, i], j, i): For x = 13 y = 16 y is not
dichotomousWarning in biserialc(x[, j], y[, i], j, i): For x = 14 y = 16 y is not
dichotomousWarning in biserialc(x[, j], y[, i], j, i): For x = 15 y = 16 y is not
dichotomousWarning in biserialc(x[, j], y[, i], j, i): For x = 20 y = 20 x seems to be
dichotomous, not continuous Idade Origem Sexo Diagnóstico HAS DM AVC IAM
Idade 1.00 -0.10 -0.26 0.53 -0.64 -0.47 -0.30 -0.30
Origem -0.10 1.00 0.14 -0.08 0.09 0.04 0.07 0.09
Sexo -0.26 0.14 1.00 -0.15 0.23 0.11 0.10 -0.12
Diagnóstico 0.53 -0.08 -0.15 1.00 -1.00 -0.98 -0.59 -0.86
HAS -0.64 0.09 0.23 -1.00 1.00 0.85 0.12 0.69
DM -0.47 0.04 0.11 -0.98 0.85 1.00 -0.01 0.57
AVC -0.30 0.07 0.10 -0.59 0.12 -0.01 1.00 0.33
IAM -0.30 0.09 -0.12 -0.86 0.69 0.57 0.33 1.00
IRC -0.20 -0.17 0.11 -0.84 0.65 0.48 -0.01 0.13
IRA -0.37 0.12 -0.20 -0.32 0.11 0.00 0.25 0.38
Neoplasias -0.25 0.13 0.09 -0.47 0.05 -0.19 0.28 -0.04
ICC -0.49 0.12 0.33 -0.89 0.56 0.41 0.30 0.27
Asma 0.09 0.13 0.25 -0.34 -0.05 0.46 0.18 0.31
DPOC -0.58 0.17 0.06 -0.78 0.40 0.24 0.14 0.13
Etilismo 0.03 -0.13 -0.31 -0.42 0.11 -0.16 0.18 -0.02
Nenhuma.comorbidade 0.51 -0.17 -0.20 0.81 -0.82 -0.67 -0.43 -0.62
Diuretico -0.51 0.11 0.22 -0.80 0.84 0.63 0.12 0.31
Gentamicina 0.48 -0.56 -0.18 0.35 -0.47 -0.28 -0.01 0.13
Pamidronato 0.05 0.11 0.22 -0.01 0.24 0.14 0.37 0.49
Beta2agonista -0.34 0.16 0.16 -0.45 0.36 0.26 0.05 0.23
IBP -0.05 0.04 0.11 -0.09 0.04 0.13 0.01 0.11
Nenhum 0.43 -0.02 -0.16 0.59 -0.66 -0.57 -0.23 -0.34
Peso -0.22 -0.04 0.18 -0.09 0.01 -0.03 0.14 -0.06
Altura -0.41 0.17 0.74 -0.31 0.31 0.26 0.17 0.08
IMC -0.01 -0.13 -0.20 0.09 -0.17 -0.19 0.02 -0.11
CC 0.18 -0.15 -0.01 0.26 -0.37 -0.37 -0.06 -0.22
Hb -0.24 0.00 0.29 -0.16 0.19 0.26 -0.09 0.01
GL -0.09 -0.01 0.12 0.02 -0.05 -0.01 0.03 0.00
Linfocitos -0.09 0.03 0.00 -0.01 0.01 -0.03 -0.05 -0.01
Segmentados -0.02 -0.03 0.08 -0.01 -0.04 0.05 0.00 -0.07
Plaquetas -0.10 -0.03 -0.05 -0.01 0.05 -0.11 0.10 0.01
PCR 0.01 -0.10 0.23 -0.07 0.16 0.06 0.07 0.08
Ureia 0.33 -0.05 -0.08 0.32 -0.35 -0.23 -0.09 -0.45
Creatinina 0.13 0.08 0.16 0.28 -0.26 -0.31 -0.01 -0.22
P -0.02 -0.01 0.04 -0.04 0.04 0.03 0.06 -0.04
Ca -0.08 -0.01 0.06 -0.08 0.11 0.08 0.03 0.02
Na -0.01 0.05 -0.13 -0.07 0.08 0.06 -0.11 -0.16
K -0.07 0.11 0.15 0.13 -0.12 -0.24 0.01 -0.40
Mgserico -0.02 0.03 -0.01 -0.13 0.09 0.14 -0.05 -0.05
Mgurinario 0.00 0.08 0.06 0.02 0.09 0.15 0.10 -0.05
Classificacao 0.09 -0.04 -0.04 0.22 -0.17 -0.28 0.08 -0.08
IRC IRA Neoplasias ICC Asma DPOC Etilismo
Idade -0.20 -0.37 -0.25 -0.49 0.09 -0.58 0.03
Origem -0.17 0.12 0.13 0.12 0.13 0.17 -0.13
Sexo 0.11 -0.20 0.09 0.33 0.25 0.06 -0.31
Diagnóstico -0.84 -0.32 -0.47 -0.89 -0.34 -0.78 -0.42
HAS 0.65 0.11 0.05 0.56 -0.05 0.40 0.11
DM 0.48 0.00 -0.19 0.41 0.46 0.24 -0.16
AVC -0.01 0.25 0.28 0.30 0.18 0.14 0.18
IAM 0.13 0.38 -0.04 0.27 0.31 0.13 -0.02
IRC 1.00 0.42 0.20 0.33 0.35 0.40 0.03
IRA 0.42 1.00 0.56 0.21 0.57 0.26 0.29
Neoplasias 0.20 0.56 1.00 -0.09 0.20 -0.03 0.34
ICC 0.33 0.21 -0.09 1.00 0.13 0.55 -0.21
Asma 0.35 0.57 0.20 0.13 1.00 0.19 0.22
DPOC 0.40 0.26 -0.03 0.55 0.19 1.00 0.00
Etilismo 0.03 0.29 0.34 -0.21 0.22 0.00 1.00
Nenhuma.comorbidade -0.58 -0.30 -0.56 -0.57 -0.18 -0.67 -0.44
Diuretico 0.75 0.04 0.24 0.55 -0.04 0.53 0.01
Gentamicina 0.18 0.42 0.01 -0.06 0.35 0.00 0.03
Pamidronato 0.52 0.70 0.39 0.33 0.66 0.38 0.41
Beta2agonista 0.28 0.34 0.08 0.20 0.52 0.69 -0.07
IBP 0.46 0.38 -0.08 -0.32 0.54 0.13 -0.05
Nenhum -0.64 -0.10 -0.10 -0.25 -0.46 -0.58 -0.10
Peso -0.04 0.31 0.23 0.00 -0.06 0.30 0.38
Altura 0.11 -0.02 0.19 0.47 0.05 0.46 -0.04
IMC -0.11 0.35 0.16 -0.30 -0.09 0.04 0.41
CC -0.21 0.20 0.01 -0.32 -0.32 0.01 0.27
Hb 0.42 0.11 0.45 -0.25 -0.03 -0.16 0.19
GL 0.11 0.07 -0.28 0.06 -0.04 0.06 0.06
Linfocitos 0.15 0.00 0.09 -0.06 -0.10 0.16 -0.03
Segmentados 0.16 0.11 -0.06 0.07 -0.12 0.01 0.06
Plaquetas 0.19 -0.23 -0.14 0.17 -0.12 -0.01 -0.03
PCR 0.18 -0.14 -0.60 0.10 -0.04 0.14 0.14
Ureia -0.87 -0.30 -0.16 -0.24 0.19 -0.36 0.27
Creatinina -1.00 -0.28 -0.25 -0.02 0.12 0.01 0.12
P -0.08 0.09 0.07 0.01 0.09 0.02 0.04
Ca 0.03 0.08 0.04 0.07 0.04 0.06 0.03
Na 0.20 -0.22 0.36 0.01 -0.09 0.05 0.03
K -0.69 0.24 -0.01 0.06 -0.09 0.24 -0.11
Mgserico 0.03 0.01 0.13 0.13 0.55 0.05 0.30
Mgurinario -0.75 0.11 0.08 -0.11 NA -0.32 -0.18
Classificacao -0.02 0.05 -0.12 -0.17 -0.11 -0.10 -0.45
Nenhuma.comorbidade Diuretico Gentamicina Pamidronato
Idade 0.51 -0.51 0.48 0.05
Origem -0.17 0.11 -0.56 0.11
Sexo -0.20 0.22 -0.18 0.22
Diagnóstico 0.81 -0.80 0.35 -0.01
HAS -0.82 0.84 -0.47 0.24
DM -0.67 0.63 -0.28 0.14
AVC -0.43 0.12 -0.01 0.37
IAM -0.62 0.31 0.13 0.49
IRC -0.58 0.75 0.18 0.52
IRA -0.30 0.04 0.42 0.70
Neoplasias -0.56 0.24 0.01 0.39
ICC -0.57 0.55 -0.06 0.33
Asma -0.18 -0.04 0.35 0.66
DPOC -0.67 0.53 0.00 0.38
Etilismo -0.44 0.01 0.03 0.41
Nenhuma.comorbidade 1.00 -0.83 -0.02 -0.16
Diuretico -0.83 1.00 -0.24 0.44
Gentamicina -0.02 -0.24 1.00 0.52
Pamidronato -0.16 0.44 0.52 1.00
Beta2agonista -0.58 0.31 0.08 0.45
IBP -0.66 -0.17 0.18 0.22
Nenhum 0.64 -0.93 -0.64 -0.23
Peso -0.07 -0.01 0.02 0.15
Altura -0.29 0.30 -0.30 0.06
IMC 0.09 -0.19 0.17 0.13
CC 0.29 -0.27 0.19 0.17
Hb -0.21 0.13 0.12 NA
GL 0.03 -0.05 -0.04 NA
Linfocitos -0.05 0.04 0.11 NA
Segmentados 0.08 -0.08 -0.19 NA
Plaquetas 0.01 0.03 0.15 NA
PCR -0.07 0.18 0.22 NA
Ureia 0.25 -0.42 0.20 NA
Creatinina 0.21 -0.41 0.15 NA
P -0.08 0.02 0.03 0.10
Ca -0.11 0.07 0.01 0.05
Na -0.17 0.11 -0.14 -0.01
K 0.14 -0.09 -0.01 0.25
Mgserico -0.10 0.14 0.08 -0.21
Mgurinario -0.04 0.10 0.11 0.02
Classificacao 0.15 -0.28 -0.17 -0.09
Beta2agonista IBP Nenhum Peso Altura IMC CC Hb
Idade -0.34 -0.05 0.43 -0.22 -0.41 -0.01 0.18 -0.24
Origem 0.16 0.04 -0.02 -0.04 0.17 -0.13 -0.15 0.00
Sexo 0.16 0.11 -0.16 0.18 0.74 -0.20 -0.01 0.29
Diagnóstico -0.45 -0.09 0.59 -0.09 -0.31 0.09 0.26 -0.16
HAS 0.36 0.04 -0.66 0.01 0.31 -0.17 -0.37 0.19
DM 0.26 0.13 -0.57 -0.03 0.26 -0.19 -0.37 0.26
AVC 0.05 0.01 -0.23 0.14 0.17 0.02 -0.06 -0.09
IAM 0.23 0.11 -0.34 -0.06 0.08 -0.11 -0.22 0.01
IRC 0.28 0.46 -0.64 -0.04 0.11 -0.11 -0.21 0.42
IRA 0.34 0.38 -0.10 0.31 -0.02 0.35 0.20 0.11
Neoplasias 0.08 -0.08 -0.10 0.23 0.19 0.16 0.01 0.45
ICC 0.20 -0.32 -0.25 0.00 0.47 -0.30 -0.32 -0.25
Asma 0.52 0.54 -0.46 -0.06 0.05 -0.09 -0.32 -0.03
DPOC 0.69 0.13 -0.58 0.30 0.46 0.04 0.01 -0.16
Etilismo -0.07 -0.05 -0.10 0.38 -0.04 0.41 0.27 0.19
Nenhuma.comorbidade -0.58 -0.66 0.64 -0.07 -0.29 0.09 0.29 -0.21
Diuretico 0.31 -0.17 -0.93 -0.01 0.30 -0.19 -0.27 0.13
Gentamicina 0.08 0.18 -0.64 0.02 -0.30 0.17 0.19 0.12
Pamidronato 0.45 0.22 -0.23 0.15 0.06 0.13 0.17 NA
Beta2agonista 1.00 0.03 -0.72 0.06 0.25 -0.08 -0.24 0.05
IBP 0.03 1.00 -0.91 0.03 0.07 0.01 0.05 0.09
Nenhum -0.72 -0.91 1.00 -0.08 -0.22 0.05 0.14 -0.18
Peso 0.06 0.03 -0.08 1.00 0.39 0.85 0.73 0.18
Altura 0.25 0.07 -0.22 0.39 1.00 -0.13 0.06 0.22
IMC -0.08 0.01 0.05 0.85 -0.13 1.00 0.75 0.08
CC -0.24 0.05 0.14 0.73 0.06 0.75 1.00 0.08
Hb 0.05 0.09 -0.18 0.18 0.22 0.08 0.08 1.00
GL 0.06 0.01 0.03 -0.01 -0.03 0.00 -0.04 0.00
Linfocitos 0.10 0.01 -0.08 0.06 0.00 0.06 0.00 0.16
Segmentados 0.04 -0.14 0.18 0.07 0.01 0.06 0.04 -0.03
Plaquetas 0.01 0.06 -0.05 -0.01 0.01 -0.02 0.00 -0.09
PCR 0.08 0.12 -0.22 0.03 0.09 -0.02 0.01 -0.29
Ureia -0.52 -0.10 0.36 -0.07 -0.15 0.00 0.10 -0.21
Creatinina 0.00 -0.32 0.33 0.05 0.05 0.02 0.11 -0.23
P 0.01 0.07 -0.06 0.03 0.07 0.00 0.01 0.10
Ca 0.06 0.05 -0.09 0.05 0.11 0.00 0.00 0.12
Na 0.17 0.08 -0.07 0.09 -0.03 0.10 0.11 0.09
K 0.01 -0.09 0.08 0.01 0.07 -0.02 -0.04 -0.11
Mgserico 0.14 0.17 -0.28 0.14 0.05 0.12 0.11 0.00
Mgurinario 0.14 0.13 -0.13 -0.03 0.03 -0.05 -0.05 0.10
Classificacao -0.10 -0.08 0.34 -0.21 -0.14 -0.15 -0.15 -0.08
GL Linfocitos Segmentados Plaquetas PCR Ureia
Idade -0.09 -0.09 -0.02 -0.10 0.01 0.33
Origem -0.01 0.03 -0.03 -0.03 -0.10 -0.05
Sexo 0.12 0.00 0.08 -0.05 0.23 -0.08
Diagnóstico 0.02 -0.01 -0.01 -0.01 -0.07 0.32
HAS -0.05 0.01 -0.04 0.05 0.16 -0.35
DM -0.01 -0.03 0.05 -0.11 0.06 -0.23
AVC 0.03 -0.05 0.00 0.10 0.07 -0.09
IAM 0.00 -0.01 -0.07 0.01 0.08 -0.45
IRC 0.11 0.15 0.16 0.19 0.18 -0.87
IRA 0.07 0.00 0.11 -0.23 -0.14 -0.30
Neoplasias -0.28 0.09 -0.06 -0.14 -0.60 -0.16
ICC 0.06 -0.06 0.07 0.17 0.10 -0.24
Asma -0.04 -0.10 -0.12 -0.12 -0.04 0.19
DPOC 0.06 0.16 0.01 -0.01 0.14 -0.36
Etilismo 0.06 -0.03 0.06 -0.03 0.14 0.27
Nenhuma.comorbidade 0.03 -0.05 0.08 0.01 -0.07 0.25
Diuretico -0.05 0.04 -0.08 0.03 0.18 -0.42
Gentamicina -0.04 0.11 -0.19 0.15 0.22 0.20
Pamidronato NA NA NA NA NA NA
Beta2agonista 0.06 0.10 0.04 0.01 0.08 -0.52
IBP 0.01 0.01 -0.14 0.06 0.12 -0.10
Nenhum 0.03 -0.08 0.18 -0.05 -0.22 0.36
Peso -0.01 0.06 0.07 -0.01 0.03 -0.07
Altura -0.03 0.00 0.01 0.01 0.09 -0.15
IMC 0.00 0.06 0.06 -0.02 -0.02 0.00
CC -0.04 0.00 0.04 0.00 0.01 0.10
Hb 0.00 0.16 -0.03 -0.09 -0.29 -0.21
GL 1.00 0.05 0.23 0.21 0.12 0.01
Linfocitos 0.05 1.00 -0.08 -0.01 0.12 -0.08
Segmentados 0.23 -0.08 1.00 0.08 0.38 0.09
Plaquetas 0.21 -0.01 0.08 1.00 -0.04 -0.02
PCR 0.12 0.12 0.38 -0.04 1.00 0.04
Ureia 0.01 -0.08 0.09 -0.02 0.04 1.00
Creatinina 0.05 -0.06 0.03 -0.04 0.08 0.56
P -0.03 -0.04 -0.04 -0.03 0.02 0.05
Ca -0.03 -0.02 -0.06 -0.02 0.01 -0.04
Na -0.04 0.06 -0.06 -0.09 -0.06 -0.04
K 0.01 -0.03 -0.03 -0.02 0.06 0.36
Mgserico -0.04 0.05 -0.01 0.09 0.13 0.10
Mgurinario -0.02 -0.04 -0.08 -0.06 -0.07 -0.03
Classificacao 0.03 -0.11 -0.04 -0.05 -0.19 -0.07
Creatinina P Ca Na K Mgserico Mgurinario
Idade 0.13 -0.02 -0.08 -0.01 -0.07 -0.02 0.00
Origem 0.08 -0.01 -0.01 0.05 0.11 0.03 0.08
Sexo 0.16 0.04 0.06 -0.13 0.15 -0.01 0.06
Diagnóstico 0.28 -0.04 -0.08 -0.07 0.13 -0.13 0.02
HAS -0.26 0.04 0.11 0.08 -0.12 0.09 0.09
DM -0.31 0.03 0.08 0.06 -0.24 0.14 0.15
AVC -0.01 0.06 0.03 -0.11 0.01 -0.05 0.10
IAM -0.22 -0.04 0.02 -0.16 -0.40 -0.05 -0.05
IRC -1.00 -0.08 0.03 0.20 -0.69 0.03 -0.75
IRA -0.28 0.09 0.08 -0.22 0.24 0.01 0.11
Neoplasias -0.25 0.07 0.04 0.36 -0.01 0.13 0.08
ICC -0.02 0.01 0.07 0.01 0.06 0.13 -0.11
Asma 0.12 0.09 0.04 -0.09 -0.09 0.55 NA
DPOC 0.01 0.02 0.06 0.05 0.24 0.05 -0.32
Etilismo 0.12 0.04 0.03 0.03 -0.11 0.30 -0.18
Nenhuma.comorbidade 0.21 -0.08 -0.11 -0.17 0.14 -0.10 -0.04
Diuretico -0.41 0.02 0.07 0.11 -0.09 0.14 0.10
Gentamicina 0.15 0.03 0.01 -0.14 -0.01 0.08 0.11
Pamidronato NA 0.10 0.05 -0.01 0.25 -0.21 0.02
Beta2agonista 0.00 0.01 0.06 0.17 0.01 0.14 0.14
IBP -0.32 0.07 0.05 0.08 -0.09 0.17 0.13
Nenhum 0.33 -0.06 -0.09 -0.07 0.08 -0.28 -0.13
Peso 0.05 0.03 0.05 0.09 0.01 0.14 -0.03
Altura 0.05 0.07 0.11 -0.03 0.07 0.05 0.03
IMC 0.02 0.00 0.00 0.10 -0.02 0.12 -0.05
CC 0.11 0.01 0.00 0.11 -0.04 0.11 -0.05
Hb -0.23 0.10 0.12 0.09 -0.11 0.00 0.10
GL 0.05 -0.03 -0.03 -0.04 0.01 -0.04 -0.02
Linfocitos -0.06 -0.04 -0.02 0.06 -0.03 0.05 -0.04
Segmentados 0.03 -0.04 -0.06 -0.06 -0.03 -0.01 -0.08
Plaquetas -0.04 -0.03 -0.02 -0.09 -0.02 0.09 -0.06
PCR 0.08 0.02 0.01 -0.06 0.06 0.13 -0.07
Ureia 0.56 0.05 -0.04 -0.04 0.36 0.10 -0.03
Creatinina 1.00 0.03 -0.02 -0.08 0.38 0.00 -0.04
P 0.03 1.00 0.96 -0.01 0.10 -0.02 0.07
Ca -0.02 0.96 1.00 0.01 0.06 -0.04 0.10
Na -0.08 -0.01 0.01 1.00 0.01 0.18 0.09
K 0.38 0.10 0.06 0.01 1.00 0.08 -0.01
Mgserico 0.00 -0.02 -0.04 0.18 0.08 1.00 0.21
Mgurinario -0.04 0.07 0.10 0.09 -0.01 0.21 1.00
Classificacao 0.09 0.14 0.14 -0.15 -0.05 -1.00 -0.23
Classificacao
Idade 0.09
Origem -0.04
Sexo -0.04
Diagnóstico 0.22
HAS -0.17
DM -0.28
AVC 0.08
IAM -0.08
IRC -0.02
IRA 0.05
Neoplasias -0.12
ICC -0.17
Asma -0.11
DPOC -0.10
Etilismo -0.45
Nenhuma.comorbidade 0.15
Diuretico -0.28
Gentamicina -0.17
Pamidronato -0.09
Beta2agonista -0.10
IBP -0.08
Nenhum 0.34
Peso -0.21
Altura -0.14
IMC -0.15
CC -0.15
Hb -0.08
GL 0.03
Linfocitos -0.11
Segmentados -0.04
Plaquetas -0.05
PCR -0.19
Ureia -0.07
Creatinina 0.09
P 0.14
Ca 0.14
Na -0.15
K -0.05
Mgserico -1.00
Mgurinario -0.23
Classificacao 1.00
Attaching package: 'plotly'The following object is masked from 'package:ggplot2':
last_plotThe following object is masked from 'package:stats':
filterThe following object is masked from 'package:graphics':
layout'data.frame': 346 obs. of 20 variables:
$ Idade : num 32 53 52 30 62 53 74 83 69 70 ...
$ Peso : num 71.5 60 53.6 71.2 55 74 84 47 100 75.2 ...
$ Altura : num 1.85 1.48 1.69 1.85 1.6 1.7 1.62 1.45 1.65 1.55 ...
$ IMC : num 20.9 27.4 18.8 20.8 21.5 ...
$ CC : num 79 77 73 84 66 77 107 89 117 107 ...
$ Hb : num 13.4 NA NA 15.3 8.6 NA NA 10.7 15.9 12.4 ...
$ GL : num 9500 NA NA 5700 10200 NA NA 5700 9000 11500 ...
$ Linfocitos : num 1900 NA NA 1710 918 NA NA 1140 1140 NA ...
$ Diagnóstico: num 1 0 0 0 1 2 1 3 1 1 ...
$ Segmentados: num 7315 NA NA 3705 9180 ...
$ Plaquetas : num 242000 NA NA 262000 308000 NA NA 211000 252000 229000 ...
$ PCR : num 0.5 NA NA NA 44.6 NA NA NA 41.3 47 ...
$ Ureia : num 23 NA NA 24 15 NA NA 49 24 18 ...
$ Creatinina : num 0.9 NA NA 1.1 0.8 NA NA 1.3 1 0.9 ...
$ P : num NA 2.31 1.93 2.53 2.49 2.43 2.96 3.04 2.9 3.38 ...
$ Ca : num 11.9 9 9.2 9.6 8.6 10.9 10.1 7.4 8.5 9.8 ...
$ Na : num 136 141 135 138 132 137 139 136 136 141 ...
$ K : num 4 3.8 3.9 4.1 3.6 4.1 4.3 4.6 5.4 3.7 ...
$ Mgserico : num 2.1 2 1.9 1.8 2.1 1.9 2 1.5 2 1.6 ...
$ Mgurinario : num 8.31 4 2.42 2.34 2.37 3.37 6.55 1.92 NA NA ...'data.frame': 341 obs. of 21 variables:
$ Origem : Factor w/ 4 levels "0","1","2","3": 2 2 2 2 2 1 1 2 1 2 ...
$ Sexo : Factor w/ 2 levels "0","1": 2 1 2 2 2 2 2 1 2 1 ...
$ HAS : Factor w/ 2 levels "0","1": 2 2 2 2 1 1 1 1 2 1 ...
$ DM : Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 1 2 2 ...
$ AVC : Factor w/ 2 levels "0","1": 2 2 2 2 2 1 2 2 2 2 ...
$ IAM : Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 2 2 ...
$ IRC : Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 2 2 ...
$ IRA : Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 2 2 ...
$ Neoplasias : Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 1 2 ...
$ ICC : Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 1 2 2 ...
$ Asma : Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 2 2 ...
$ DPOC : Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 2 2 ...
$ Etilismo : Factor w/ 2 levels "0","1": 1 2 2 2 2 2 2 2 2 2 ...
$ Nenhuma.comorbidade: Factor w/ 2 levels "0","1": 2 1 1 1 2 2 2 2 2 2 ...
$ Diuretico : Factor w/ 2 levels "0","1": 2 2 2 2 2 1 1 2 2 2 ...
$ Gentamicina : Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 2 2 ...
$ Pamidronato : Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 2 2 ...
$ Beta2agonista : Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 2 2 ...
$ IBP : Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 2 2 ...
$ Nenhum : Factor w/ 2 levels "0","1": 1 1 1 1 1 2 2 1 1 1 ...
$ Classificacao : Factor w/ 2 levels "0","1": 1 1 1 1 1 1 1 2 1 2 ...Warning: Computation failed in `stat_compare_means()`.
Computation failed in `stat_compare_means()`.
Computation failed in `stat_compare_means()`.
Computation failed in `stat_compare_means()`.
Computation failed in `stat_compare_means()`.
Caused by error in `t.test.default()`:
! not enough 'x' observationsWarning: Computation failed in `stat_compare_means()`.
Caused by error:
! argument "x" is missing, with no defaultWarning: Computation failed in `stat_compare_means()`.
Computation failed in `stat_compare_means()`.
Computation failed in `stat_compare_means()`.
Computation failed in `stat_compare_means()`.
Computation failed in `stat_compare_means()`.
Computation failed in `stat_compare_means()`.
Caused by error in `t.test.default()`:
! not enough 'x' observationsWarning: Computation failed in `stat_compare_means()`.
Computation failed in `stat_compare_means()`.
Computation failed in `stat_compare_means()`.
Caused by error:
! argument "x" is missing, with no defaultWarning: Computation failed in `stat_compare_means()`.
Caused by error in `t.test.default()`:
! not enough 'x' observationsWarning: Computation failed in `stat_compare_means()`.
Computation failed in `stat_compare_means()`.
Computation failed in `stat_compare_means()`.
Computation failed in `stat_compare_means()`.
Computation failed in `stat_compare_means()`.
Caused by error:
! argument "x" is missing, with no defaultWarning: Computation failed in `stat_compare_means()`.
Computation failed in `stat_compare_means()`.
Computation failed in `stat_compare_means()`.
Computation failed in `stat_compare_means()`.
Computation failed in `stat_compare_means()`.
Computation failed in `stat_compare_means()`.
Caused by error in `t.test.default()`:
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attr(,"class")
[1] "list" "ggarrange"Referências
- Agresti, A. (2013). Categorical Data Analysis. John Wiley & Sons.
- McDonald, J. H. (2009). Handbook of Biological Statistics (Vol. 2). Sparky House Publishing.