Predictive factors of mortality in severe community-acquired pneumonia: A model with data on the first 24h of ICU admission

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Factores predictivos de mortalidad en la neumonía adquirida en la comunidad grave: un modelo con los datos de las primeras 24horas de ingreso en la unidad de cuidados intensivos

J.M. Sirventa,

Corresponding author

jsirvent.girona.ics@gencat.cat
jmsirvent4@gmail.com

Corresponding author.

, M. Carmen de la Torreb, C. Lorencioa, A. Tachéa, C. Ferria, J. Garcia-Gilc, A. Torresd

a Servicio de Medicina Intensiva, Hospital Universitari de Girona Doctor Josep Trueta, CIBERES, Girona, Spain

b Servicio de Medicina Intensiva, Consorci Sanitari del Maresme, Hospital de Mataró, Mataró, Spain

c Departamento de Biología, Universitat de Girona, Girona, Spain

d Servicio de Neumología, Hospital Clínic-IDIBAPS, Universitat de Barcelona, CIBERES, Barcelona, Spain

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ISSN: 02105691
Original language: English

DOI:10.1016/j.medin.2013.03.003

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2025 April	181	24	205
2025 March	228	44	272
2025 February	168	54	222
2025 January	131	67	198
2024 December	140	46	186
2024 November	119	90	209
2024 October	117	62	179
2024 September	151	66	217
2024 August	111	37	148
2024 July	87	37	124
2024 June	108	70	178
2024 May	74	41	115
2024 April	89	47	136
2024 March	69	38	107
2024 February	66	50	116
2024 January	65	46	111
2023 December	61	44	105
2023 November	67	37	104
2023 October	52	52	104
2023 September	55	44	99
2023 August	34	15	49
2023 July	46	40	86
2023 June	43	19	62
2023 May	65	36	101
2023 April	68	24	92
2023 March	103	42	145
2023 February	89	37	126
2023 January	86	31	117
2022 December	124	48	172
2022 November	107	44	151
2022 October	80	49	129
2022 September	61	37	98
2022 August	51	49	100
2022 July	49	44	93
2022 June	38	40	78
2022 May	55	52	107
2022 April	56	40	96
2022 March	69	61	130
2022 February	51	37	88
2022 January	75	28	103
2021 December	72	48	120
2021 November	70	59	129
2021 October	103	91	194
2021 September	53	50	103
2021 August	90	47	137
2021 July	47	59	106
2021 June	86	71	157
2021 May	149	91	240
2021 April	224	110	334
2021 March	170	32	202
2021 February	245	52	297
2021 January	90	35	125
2020 December	84	31	115
2020 November	66	26	92
2020 October	61	40	101
2020 September	40	20	60
2020 August	47	18	65
2020 July	36	34	70
2020 June	37	27	64
2020 May	45	24	69
2020 April	90	23	113
2020 March	54	26	80
2020 February	132	56	188
2020 January	45	26	71
2019 December	40	29	69
2019 November	36	19	55
2019 October	59	27	86
2019 September	41	26	67
2019 August	52	28	80
2019 July	50	23	73
2019 June	28	18	46
2019 May	75	27	102
2019 April	34	24	58
2019 March	48	23	71
2019 February	39	35	74
2019 January	34	37	71
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2018 September	32	17	49
2018 August	30	8	38
2018 July	33	11	44
2018 June	38	12	50
2018 May	25	5	30
2018 April	21	11	32
2018 March	27	8	35
2018 February	22	7	29
2018 January	37	18	55
2017 December	30	6	36
2017 November	34	22	56
2017 October	40	11	51
2017 September	22	25	47
2017 August	21	18	39
2017 July	21	8	29
2017 June	42	11	53
2017 May	31	13	44
2017 April	37	16	53
2017 March	24	18	42
2017 February	18	12	30
2017 January	16	9	25
2016 December	30	17	47
2016 November	56	26	82
2016 October	67	26	93
2016 September	69	23	92
2016 August	37	11	48
2016 July	19	9	28
2016 June	1	12	13
2016 May	0	11	11
2016 April	1	1	2
2016 March	1	3	4
2016 February	1	0	1
2015 December	2	0	2
2015 November	3	0	3
2015 September	1	0	1
2015 August	0	14	14
2015 July	1	0	1
2014 November	1	0	1
2014 September	1	0	1
2014 August	1	0	1
2014 June	4	0	4
2014 May	1	0	1
2014 April	2	0	2
2014 March	50	10	60
2014 February	57	7	64
2014 January	50	2	52
2013 December	48	8	56
2013 November	28	5	33
2013 October	29	8	37
2013 September	27	8	35
2013 August	31	9	40
2013 July	23	4	27
2013 June	9	2	11

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